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Scientific Publications

Researchers across a wide variety of organizations have studied Linus Health’s digital cognitive assessments extensively and their findings have appeared in more than 150 peer-reviewed, scientific publications to-date.

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2025
Alzheimer’s & Dementia: Translational Research & Clinical Interventions
Incorporating individually defined brain health priorities in clinical trials outcomes: the electronic Person Specific Outcome Measure approach in the US
Our findings highlight the need to capture brain health priorities at an individual level and indicate that self-reported confidence in managing personally meaningful priorities is an appropriate construct for incorporating the person’s voice in study outcomes. Our study demonstrates that while there is heterogeneity in the individuals’ brain health priorities across sociodemographic groups and countries, the ePSOM approach is applicable across both the US and UK populations.
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2024
Journal of Alzheimer’s Disease
Detecting functional dependence with the Digital Clock and Recall
The DCR, a self-administered, automatically scored digital test of cognition, can also classify informant-based clinically relevant levels of functional impairment in older adults in around 3-5 minutes. The high negative predictive value emphasizes the utility of the DCR to dispel concerns of impairment of iADLs/ADLs or dementia. We found strong links between DCR and FAQ, which resulted in the robust ability of the DCR to determine individuals who are unlikely to be functionally impaired. This can help primary-care providers streamline the clinical decision-making, triage, and intervention planning along the spectrum of MCI and early dementia.
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2024
Frontiers in Digital Health
Digital Clock and Recall (DCR): a digital, process-driven evolution of the Mini-Cog
Our findings demonstrate the added utility of the DCR, an automated, process-driven, and process-based digital cognitive assessment when compared to the Mini-Cog, a commonly used tool that relies on fixed clock scoring rules. We additionally demonstrated variability in manually scoring the Mini-Cog, even among experts. Digital process-based metrics capture dynamic processes in clock drawing and perform better in detecting cognitive impairment in a diagnosed research cohort of older individuals.
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2024
Scientific Reports
Digital Speech Hearing Screening Using A Quick Novel Mobile Hearing Impairment Assessment
The digital speech hearing screener (dSHS) successfully differentiates between hearing impaired and unimpaired individuals in under 3 minutes. This hearing screener offers a time saving, in clinic hearing screening to streamline the triage of those with likely hearing impairment to the appropriate follow up assessment, thereby improving the quality of services. Additionally, this tool can help to rule out hearing impairment as a cause or confounder of cognitive impairment.
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2024
Frontiers in Neurology Dementia and Neurodegenerative Diseases
Towards a lifelong personalized brain health program: Empowering individuals to define, pursue, and monitor meaningful outcomes
We discuss the current advances and future directions in capturing individualized brain health outcomes and present an approach to integrate person-centered outcome in a scalable manner. Our approach stems from the evidence-based electronic Person-Specific Outcome Measure (ePSOM) program which prompts an individual to define personally meaningful treatment priorities and report level of confidence in managing items that matter to the individual the most.
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2024
Frontiers in Neurology
Dysexecutive difficulty and subtle everyday functional disabilities: the digital Trail Making Test
Digital assessment technology elegantly quantifies occult, nuanced behavior not previously appreciated, operationally defines critical underlying neurocognitive constructs related to functional abilities, and yields selected process-based scores that outperform traditional paper/pencil test scores for participant classification. When brought to scale, the Linus Health dTMT-B test could be a sensitive tool to detect subtle-to-mild functional deficits in emergent neurodegenerative illnesses.
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2024
Frontiers in Aging Neuroscience
Estimating dementia risk in an African American population using the DCTclock
This research demonstrates the DCTclock’s ability to estimate the 5-year risk of developing dementia in an African American population. Early detection of elevated dementia risk using the DCTclock could provide patients, caregivers, and clinicians opportunities to plan and intervene early to improve cognitive health trajectories. Early detection of dementia risk can also enhance participant selection in clinical trials while reducing screening costs.
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2024
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring
Clinical classification of memory and cognitive impairment with multimodal digital biomarkers
Multimodal models incorporating graphomotor, memory, and speech and voice features provided the stronger classification performance. Multimodal models were superior to all other single modality and demographics models. The current research contributes to the prevailing multimodal profile of those with cognitive impairment, suggesting that it is associated with slower speech with a particular effect on the duration, frequency, and percentage of pauses compared to normal healthy speech.
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2023
Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration
A speech-based prognostic model for dysarthria progression in ALS
Our results demonstrated that a subject-specific prognostic model for speech predicts future articulatory precision and ALSFRS-R speech values accurately.
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2023
Alzheimers & Dementia
Comparative Performance of the Digital Clock and Recall™ Test, Montreal Cognitive Assessment, and Saint Louis University Mental Status Among Patients in Primary Care
Screening in primary care using the DCR is feasible, takes less time to administer than MoCA or SLUMS, and shows concordant results with these more established screening tools in detecting cognitive impairment. Future research aims to investigate the criterion validity of the DCR among biomarkers for neurodegenerative disease.
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2023
Frontiers in Psychology
Using Digital Assessment Technology to Detect Neuropsychological Problems in Primary Care Settings
The CCE is a powerful neurocognitive assessment tool that is sensitive to patient’s subjective concerns about possible decline in memory, mood symptoms, possible cognitive impairment, and cardiovascular risk. iPad administration ensures total reliability for test administration and scoring. The CCE is easily deployable in outpatient ambulatory primary care settings.
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2022
Journal of Patient-Reported Outcomes
Impact of clinical symptoms and diagnosis: the electronic Person-Specific Outcome Measure (ePSOM) development programme
We conclude there are a range of outcomes which individuals consider important and what potential new treatments should help maintain or improve, suggesting that outcomes that matter shift along the preclinical, prodromal and overt dementia continuum. This has important implications for the development of outcome measures in long term prevention studies that last several years where participants may pass through diferent stages of disease. In the final stage of our project, we will design an electronic outcomes app which will employ the methodology tested in the large-scale survey to capture what matters to individuals about their brain health at an individual level.
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2022
IEEE Trans Biomed Eng
Development of Data-driven Metrics for Balance Impairment and Fall Risk Assessment in Older Adults
A study of 248 community dwelling older adults found that a balance test instrumented within inertial sensors could accurately and reliably estimate the risk of falls.
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2022
Interspeech
Are reported accuracies in the clinical speech machine learning literature overoptimistic?
The results show that reported accuracy declines as a function of increasing sample size, with small sample size studies yielding an overoptimistic estimate of the accuracy. For correctly trained models, this is unexpected as the ability of a machine learning model to predict group membership ought to remain the same or improve with additional training data. We posit that the overoptimism is the result of a combination of publication bias and overfitting and suggest mitigation strategies.
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2022
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring
Automated semantic relevance as an indicator of cognitive decline: Out-of-sample validation on a large-scale longitudinal dataset
The fully automated measure was accurate (r = .84), had moderate to good reliability (intra-class correlation = .73), correlated with MiniMental State Examination and improved the fit in the context of other automatic language features (r = .65), and longitudinally declined with age and level of cognitive impairment. This study demonstrates the use of a rigorous analytical and clinical framework for validating automatic measures of speech, and applied it to a measure that is accurate and clinically relevant.
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2022
J Parkinsons Dis
Neural activation in the prefrontal cortex during the digital clock drawing test measured with functional near-infrared spectroscopy in early stage Parkinson's disease
Our results reflect slower PFC activation in participants with PD which correlates with behavioral measures. In addition, the findings of the study indicate the importance of performing the CDT copy task condition that detect early cognitive decline in participants with PD.
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2022
Interspeech
Investigating the Impact of Speech Compression on the Acoustics of Dysarthric Speech
Significant differences in cepstral peak prominence, degree of voice breaks, jitter, vowel space area, pitch, and vowel space area were observed after Opus processing, providing insight into the types of acoustic measures that are susceptible to speech compression algorithms.
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2022
Wearable Technology
Estimating balance, cognitive function, and falls risk using wearable sensors and the sit-to-stand test
Findings from a study in 168 community dwelling older adults showed that The Five Times Sit to Stand (FTSS) test and wearable sensors can provide accurate estimation of falls risk, balance impairment and cognitive decline.
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2022
Sci Rep
Variational autoencoder provides proof of concept that compressing CDT to extremely low-dimensional space retains its ability of distinguishing dementia
This study shows that a very small number of latent variables are sufficient to encode important clock drawing anomalies that are predictive of dementia.
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2022
Frontiers in Aging Neuroscience
The functional connectivity and neuropsychology underlying mental planning operations: data from the digital clock drawing test
Command digit misplacement is negatively associated with semantics, visuospatial, visuoconstructional, and reasoning and negatively associated with connectivity from the basal nucleus of Meynert (BNM) to the anterior cingulate cortex (ACC). Individuals with MCI had more misplacement and less BNM-ACC connectivity. Total completion time involved posterior and cerebellar associations only. Findings suggest clock drawing digit placement accuracy may be a unique metric of mental planning and provide insight into neurodegenerative disease.
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2022
Journal of Medical Internet Research
Association Between the Digital Clock Drawing Test and Brain Volume: Large Community-Based Prospective Cohort (Framingham Heart Study)
dCDT composite scores were significantly associated with multiple brain MRI measures in a large community-based cohort. The dCDT has the potential to be used as a cognitive assessment tool in the clinical diagnosis of MCI.
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2022
Journal of the International Neuropsychological Society
Dissociating Statistically Determined Normal Cognitive Abilities and Mild Cognitive Impairment Subtypes with DCTclock
These results suggest that DCTclock command/copy parameters can dissociate CN, SbCI, and MCI subtypes. The larger effect sizes for command clock indices suggest these metrics are sensitive in detecting early cognitive decline. Additional research with a larger sample is warranted.
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2021
npj Digital Medicine
Digital medicine and the curse of dimensionality
We posit that one of the rate-limiting factors in developing algorithms that generalize to real-world scenarios is the very attribute that makes the data exciting — their high-dimensional nature. This paper considers how the large number of features in vast digital health data can challenge the development of robust AI models — a phenomenon known as “the curse of dimensionality” in statistical learning theory. We provide an overview of the curse of dimensionality in the context of digital health, demonstrate how it can negatively impact out-of-sample performance, and highlight important considerations for researchers and algorithm designers.
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2021
Gait & Posture
Reliability of inertial sensor based spatiotemporal gait parameters for short walking bouts in community dwelling older adults
A study of 115 community dwelling older adults completing three trials of a 30-metre walk task, evaluated the reliability of spatiotemporal gait parameters, their variability, and asymmetry, calculated from body-worn bilateral inertial sensor data using Gait™ and showed that quantified gait measures can be obtained from three gait cycles of bilateral data.
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2021
Special Issue on Wearable Sensors for Assessment of Gait in Older Adults, Sensors
Unsupervised assessment of balance and falls risk using a smartphone and machine learning
A real-world study of the Kinesis Balance application with 594 smartphone assessments from 147 unique phones found a strong association between self-reported falls history and balance impairment scores, suggesting that it may be a clinically useful tool for assessing balance and falls risk. This has utility in a variety of settings, including remote monitoring platform for remote functional assessment or as part of decentralised clinical trials.
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2021
Aging Clin Exp Res
To model the ost-effectiveness of QTUG, Independent publication by Sheffield Teaching Hospital (STH) NHS Foundation Trust, ScHARR (University of Sheffield)
QTUG™ has been successfully used to measure change in physical function and the response to intervention in both community dwelling older adults.
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2021
Sensors (Basel)
Predicting Fall Counts Using Wearable Sensors: A Novel Digital Biomarker for Parkinson’s Disease
A study of 1057 participants, including 71 previously diagnosed with Parkinson’s Disease (PD)18, found that QTUG data can predict fall counts in PD and that falls counts predicted from the inertial sensor data obtained during a simple walking task have the potential to be developed as a novel digital biomarker for PD.
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2021
Amyotophic Lateral Sclerosis and Frontotemporal Degeneration
Estimation of forced vital capacity using speech acoustics in patients with ALS
We found that the predicted and observed FVC values in the test sample had a correlation coefficient of .80 and mean absolute error between .54 L and .58 L (18.5% to 19.5%). In addition, we found that the model was able to detect longitudinal decline in FVC in the test sample, although to a lesser extent than the observed FVC values measured using a spirometer, and was highly repeatable (ICC = 0.92–0.94), although to a lesser extent than the actual FVC (ICC = .97). These results suggest that sustained phonation may be a useful surrogate for VC in both research and clinical environments.
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2021
Alzheimer's & Dementia
Large-scale cross-sectional and longitudinal validation of a digital speech-based measure of cognition
SemR is reliable, shows convergent validity with MMSE, and correlates strongly with manual hand-counts. SemR declines with age and severity of cognitive impairment, with the speed of decline differing by level of impairment.
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2021
Exploration of Medicine
Proof of concept: digital clock drawing behaviors prior to transcatheter aortic valve replacement may predict length of hospital stay and cost of care
Digital variables from clock copy condition provided predictive value over common demographic and comorbidity variables. We hypothesize this is due to the sensitivity of the copy condition to executive dysfunction, as has been shown in previous studies for subtypes of cognitive impairment. Individuals undergoing TAVR procedures are often frail and executively compromised due to their cerebrovascular disease. We encourage additional research on the value of digitally-acquired clock drawing within different surgery types. Type of cognitive impairment and the value of digitally-acquired CDT command and copy parameters in other surgeries remain unknown.
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2021
J Alzheimers Dis
Normative References for Graphomotor and Latency Digital Clock Drawing Metrics for Adults Age 55 and Older: Operationalizing the Production of a Normal Appearing Clock

Adults age 55 plus produce symmetric clock faces with one stroke, with minimal overshoot and digit misplacement, and hands with expected hour hand to minute hand ratio. Data suggest digitally acquired graphomotor and latency differences based on handedness, age, education, and anchoring.

Conclusion: Data provide useful benchmarks from which to assess digital clock drawing performance in Alzheimer’s disease and related dementias.

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2021
Current Alzheimer Research
Extended Application of Digital Clock Drawing Test in the Evaluation of Alzheimer’s Disease Based on Artificial Intelligence and the Neural Basis
By extracting dCDT features, cognitive impairment and AD patients can be identified early. Through dCDT feature extraction, a prediction model of single cognitive domain damage can be established.
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2021
Neuropsychology Review
Evaluation of Digital Drawing Tests and Paper-and-Pencil Drawing Tests for the Screening of Mild Cognitive Impairment and Dementia: A Systematic Review and Meta-analysis of Diagnostic Studies
The performances of the digital and paper-and-pencil pentagon drawing tests were comparable in the screening of dementia. The digital CDT demonstrated better diagnostic performance than paper-and-pencil CDT for MCI. Other types of digital drawing tests showed comparable performance with paper-and-pencil formats. Therefore, digital drawing tests can be used as an alternative tool for the screening of MCI and dementia.
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2021
Neurology
Association of Digital Clock Drawing With PET Amyloid and Tau Pathology in Normal Older Adults
DCTclock discriminates between diagnostic groups and improves upon traditional cognitive tests for detecting biomarkers of amyloid and tau pathology in CN older adults. The validation of such digitized measures has the potential of providing an efficient tool for detecting early cognitive changes along the AD trajectory.
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2021
Frontiers in Digital Health
DCTclock: Clinically-Interpretable and Automated Artificial Intelligence Analysis of Drawing Behavior for Capturing Cognition
We benchmarked DCTclock against existing clock scoring systems and the Mini-Mental Status Examination, a widely-used but lengthier cognitive test, and showed that DCTclock offered a significant improvement in the detection of early cognitive impairment and the ability to characterize individuals along the Alzheimer's disease trajectory. This offers an example of a robust framework for creating digital biomarkers that can be used clinically and in research for assessing neurological function.
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2021
Journal of Medical Internet Research
Association Between the Digital Clock Drawing Test and Neuropsychological Test Performance: Large Community-Based Prospective Cohort (Framingham Heart Study)
The dCDT can potentially be used as a tool for cognitive assessment in large community-based populations.
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2021
Parkinsonism & Related Disorders
Quantitative digital clock drawing test as a sensitive tool to detect subtle cognitive impairments in early stage Parkinson's disease
The use of quantitative digital cognitive assessment showed greater sensitivity in identifying subtle cognitive decline than the current standardized tests. Differences in cognitive profiles were observed based on genotype. The identification of early cognitive decline may improve the clinical management of PD patients and be useful for cognitive related clinical trials.
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2021
Journal of Alzheimer's Disease
Classifying Non-Dementia and Alzheimer’s Disease/Vascular Dementia Patients Using Kinematic, Time-Based, and Visuospatial Parameters: The Digital Clock Drawing Test
The dCDT is able to operationally define graphomotor output that cannot be measured using traditional paper and pencil test administration in older health controls and participants with dementia. These data suggest that kinematic, time-based, and visuospatial behavior obtained using the dCDT may provide additional neurocognitive biomarkers that may be able to identify and tract dementia syndromes.
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2021
Journal of Parkinson's Disease
Parkinson’s Disease Cognitive Phenotypes Show Unique Clock Drawing Features When Measured with Digital Technology
Digitally-acquired clock drawing profiles differ between PD and non-PD peers, and distinguish PD cognitive phenotypes.
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2020
Age and Ageing
A modelling-based economic evaluation of primary-care-based fall-risk screening followed by fall-prevention intervention: a cohort-based Markov model stratified by older age groups
To model the ost-effectiveness of QTUG, Independent publication by Sheffield Teaching Hospital (STH) NHS Foundation Trust, ScHARR (University of Sheffield) and Kinesis Health Technologies Ltd
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2020
Biosensors (Basel)
Short Bouts of Gait Data and Body-Worn Inertial Sensors Can Provide Reliable Measures of Spatiotemporal Gait Parameters from Bilateral Gait Data for Persons with Multiple Sclerosis
A study in 37 patients with Multiple Sclerosis (MS) found that short bouts of gait data, from a limited number of gait cycles, collected using Kinesis Gait™, can provide reliable gait measurements for people with MS. Stride time variability and asymmetry, as well as stride velocity variability and asymmetry, were identified as potential digital biomarkers for gait assessments in people with MS. Kinesis Gait™ be used to objectively assess gait in people with MS, even with fragmented data. This could have important implications for the monitoring of symptoms and the development of new treatments for MS
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2020
npj Digital Medicine
Early detection and tracking of bulbar changes in ALS via frequent and remote speech analysis
Bulbar deterioration in amyotrophic lateral sclerosis (ALS) is a devastating characteristic that impairs patients’ ability to communicate, and is linked to shorter survival. The existing clinical instruments for assessing bulbar function lack sensitivity to early changes. In this paper, using a cohort of N = 65 ALS patients who provided regular speech samples for 3–9 months, we demonstrated that it is possible to remotely detect early speech changes and track speech progression in ALS via automated algorithmic assessment of speech collected digitally.
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2020
Digital Biomarkers
Repeatability of Commonly Used Speech and Language Features for Clinical Applications
Our results demonstrate that the repeatability of speech features extracted using open-source tool kits is low. Researchers should exercise caution when developing digital health models with open-source speech features. We provide a detailed summary of feature-by-feature repeatability results (ICC, WSCV, SE of measurement, limits of agreement for WSCV, and minimal detectable change) in the online supplementary material so that researchers may incorporate repeatability information into the models they develop.
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2020
Acta Anaesthesiologica Scandinavica
A novel digital clock drawing test as a screening tool for perioperative neurocognitive disorders: A feasibility study
The digital clock drawing test is feasible to administer and is highly acceptable to older adults in a preoperative setting. We demonstrated a significant association between both the dCDT time and clock score metrics, with the established 4AT. Our results provide convergent validity of the dCDT in the preoperative setting.
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2020
Journal of the International Neuropsychological Society: JINS
Machine Learning Analysis of Digital Clock Drawing Test Performance for Differential Classification of Mild Cognitive Impairment Subtypes Versus Alzheimer's Disease
Early identification of emergent neurodegenerative illness is criterial for better disease management. Applying machine learning to standard neuropsychological tests promises to be an effective first line screening method for classification of non-MCI and MCI subtypes.
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2020
J of Alzheimer's Disease
Cognitive Correlates of Digital Clock Drawing Metrics in Older Adults with and without Mild Cognitive Impairment
Command dCDT variables of interest were primarily processing speed and working memory dependent. MCI participants showed dCDT differences relative to non-MCI peers, suggesting the dCDT may assist with classification. Results document cognitive construct validation to digital metrics of clock drawing.
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2019
Health Expectations
What matters to people with memory problems, healthy volunteers and health and social care professionals in the context of developing treatment to prevent Alzheimer's dementia? A qualitative study
This study gives insights into the aspects of everyday life which are important to consider when measuring the effectiveness of new treatment to slow and prevent dementia, namely: Everyday Functioning, Sense of Identity, Relationships and Social Connections, Enjoying Life and Alleviating Symptoms. The perspectives of people experiencing memory problems, healthy volunteers and health and social care professionals are compared and contrasted. In the ePSOM programme, the focus groups were a vital bridge between the literature review and the population survey to be implemented in the UK in early 2019. They defined the five key themes to be used in the survey, as well as highlighting key distinctions of emphasis between health‐care professionals, people experiencing memory problems and those at (apparent) high risk of dementia. The fourth stage of the project, that is the development and delivery of the outcome assessment tool for use in clinical trials, will hence be directly informed by all three preceding steps: literature review, focus groups and population survey.
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2021
J Prev Alz Dis
A UK-Wide Study Employing Natural Language Processing to Determine What Matters to People about Brain Health to Improve Drug Development: The Electronic Person-Specific Outcome Measure (ePSOM) Programme
The ePSOM data has generated evidence on what matters to people when developing new treatments for AD that target secondary prevention and therein maintenance of brain health. These results will form the basis for an electronic outcome measure to be used in AD clinical research and clinical practice.
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2019
NPJ Digital Medicine
Digital assessment of falls risk, frailty, and mobility impairment using wearable sensors
A study of 8,521 participants assessed using Kinesis QTUG™, examined gait, mobility and falls risk in 38 organizations in 6 countries over a 5 year period. We found that more than one fifth of older adults who have never reported a fall were at high risk and would perhaps stand to benefit most from an intervention. Similarly, by comparing against a large reference data set, some form of gait impairment was noted in almost 1 out of 5 of participants. One in four patients were predicted to be at high risk of falls with a similar proportion reporting a fall in the past 12 months.
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2019
International Anesthesia Research Society
Clock Drawing Performance Slows for Older Adults After Total Knee Replacement Surgery
Clock drawing construction slowed for nearly one-quarter of patients after total knee atrthroplasty (TKA) surgery, whereas nonsurgery peers showed the expected practice effect, ie, speed increased from baseline to follow-up time points. Future research should investigate the neurobiological basis for these changes after TKA.
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2018
J Rehabil Assist Technol Eng
Longitudinal assessment of falls in patients with Parkinson's disease using inertial sensors and the Timed Up and Go test
Mobility parameters derived using Kinesis QTUG™ and Gait™ have been shown to provide reliable measurement of gait and mobility and have utility in predicting falls in patients with Parkinson’s disease (PD)
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2017
Geriatrics & Gerontology International
Effect of a dual task on quantitative Timed Up and Go performance in community-dwelling older adults: A preliminary study
In community-dwelling older adults (N=37), these preliminary results show that a cognitive dual-task significantly (P < 0.025) affects QTUG performance in almost all parameters, with a significant (P < 0.025) reduction in time-to-stand observed with a motor task
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2017
Journal of Alzheimer's Disease
Age and Graphomotor Decision Making Assessed with the Digital Clock Drawing Test: The Framingham Heart Study
Longer age-related decision making latencies may reflect a greater need for working memory and increased self-monitoring in older subjects. These latency measures have potential to serve as neurocognitive biomarkers of Alzheimer's disease and other insidious neurodegenerative disorders.
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2016
Gait & Posture
Mobility parameters derived using Kinesis QTUG™ and Gait™ have been shown to provide reliable measurement of gait and mobility in older adults. QTUG may aid in the assessment of older people under single and dual-task conditions.
Mobility parameters derived using Kinesis QTUG™ and Gait™ have been shown to provide reliable measurement of gait and mobility in: patients with multiple sclerosis (MS)
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2016
IEEE J Biomed Health Inform
Fall risk assessment through automatic combination of clinical fall risk factors and body-worn sensor data
QTUG™ has been validated both prospectively (N=226) and cross-sectionally (N=748), and has been shown to provide an accurate measure of falls risk in older adults
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2016
Neuropsychologia
Cognitive and connectome properties detectable through individual differences in graphomotor organization
An easily observable graphomotor distinction was associated with 1) better performance in specific cognitive domains, 2) higher local efficiency suggesting better regional integration, and 3) more sophisticated modular integration involving the ventral ('what') visuospatial processing stream. Taken together, these results enhance our knowledge of the brain-behavior relationships underlying unprompted graphomotor organization during dCDT.
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2015
IEEE J Biomed Health Inform
Assessment and classification of early stage multiple sclerosis with inertial sensors: comparison against clinical measures of disease state
Mobility parameters derived using Kinesis QTUG™ and Gait™ have been shown to provide reliable measurement of gait and mobility in: patients with multiple sclerosis (MS).
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2015
Machine Learning
Learning classification models of cognitive conditions from subtle behaviors in the digital Clock Drawing Test
We worked with clinicians to define guidelines for model interpretability, and constructed sparse linear models and rule lists designed to be as easy to use as scoring systems currently used by clinicians, but more accurate. While our models will require additional testing for validation, they offer the possibility of substantial improvement in detecting cognitive impairment earlier than currently possible, a development with considerable potential impact in practice.
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2014
Gait & Posture
Early identification of declining balance in higher functioning older adults, an inertial sensor based method
A study of 119 older adults showed that changes in QTUG parameters were strongly associated with decline in balance as measured using the Berg Balance Scale (BBS)
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2014
Physiol Meas
Classification of frailty and falls history using a combination of sensor-based mobility assessments
The study suggests that the combination of three physical assessments (timed up and go (TUG), five times sit to stand (FTSS) and quiet standing balance), quantified using body-worn inertial sensors, could lead to improved methods for assessing frailty and falls risk in older adults.
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2014
Annu Int Conf IEEE Eng Med Biol Soc
Quantitative assessment of multiple sclerosis using inertial sensors and the TUG test
The study suggests that inertial sensor parameters derived using QTUG in patients with MS were reliable and could be used to predict disease severity as measured by the EDSS and MSIS scale.
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2014
Annu Int Conf IEEE Eng Med Biol Soc
A comparison of cross-sectional and prospective algorithms for falls risk assessment
QTUG™ has been validated both prospectively (N=226) and cross-sectionally (N=748), and has been shown to provide an accurate measure of falls risk in older adults.
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2014
Journal of the International Neuropsychological Society
Digital clock drawing: Differentiating ‘thinking’ versus ‘doing’ in younger and older adults with depression
The dCDT differentiated aspects of psychomotor slowing in depression regardless of age, while dCDT/cognitive associates for younger adults with depression mimicked patterns of older euthymics.
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2013
Age Ageing
Frailty status can be accurately assessed using inertial sensors and the TUG test
A study of 399 older adults showed that QTUG™ provides a robust and reliable estimate of patient’s frailty state as defined using the Fried frailty phenotype.
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2013
Gait Posture
Falls classification using tri-axial accelerometers during the five-times-sit-to-stand test
The five-times-sit-to-stand test (FTSS) is an established assessment of lower limb strength, balance dysfunction and falls risk. Quantifying the movement using tri-axial accelerometers may provide a more objective and potentially more accurate falls risk estimate.
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2013
Ann Biomed Eng
Effects of a low-volume, vigorous intensity step exercise program on functional mobility in middle-aged adults
The novel method of functional mobility assessment using QTUG provides a reliable means to quantify subtle changes in mobility during postural transitions in an exercise program.
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2012
Physiological Measurement
Diurnal variations in the outcomes of instrumented gait and quiet standing balance assessments and their association with falls history
This study highlights the potential of instrumented gait and balance assessments in distinguishing fallers from non-fallers among older adults. While single support time showed significant diurnal variation in its association with falls history, other gait and quiet standing balance parameters remained consistent throughout the day. These findings suggest that, aside from specific measures like single support time, the timing of assessments may not significantly impact their effectiveness in identifying fall risk.
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2012
JSportsBiomech
Gyroscope-based assessment of temporal gait parameters during treadmill walking and running
The inertial sensor algorithms contained in Kinesis QTUG™ have been validated against gold standards (optical motion capture system, forceplate and GAITRite) for assessment of temporal and spatial gait parameters in normal and pathological gait as well as treadmill running.
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2012
Annu Int Conf IEEE Eng Med Biol Soc
Taking balance measurement out of the laboratory and into the home: discriminatory capability of novel centre of pressure measurement in fallers and non-fallers
The study looked at a number of standard quantitative balance parameters and the method based on estimating changes in the magnitude of pressure exerted on the sensor matrix was most promising, informing home-based balance measurement in future studies.
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2012
IEEE Trans Biomed Eng
Assessment of Cognitive Decline Through Quantitative Analysis of the Timed Up and Go Test
A longitudinal study of 189 older adults showed that the change in mobility parameters obtained using QTUG™ measured two years after baseline assessment are associated with cognitive decline in older adults.
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2012
Physiol Meas
Quantitative falls risk estimation through multi-sensor assessment of standing balance
The study compared the classification accuracy of the model with an established method for falls risk assessment, the Berg balance scale. The results of the study showed that the model was more accurate than the Berg balance scale in classifying falls history and assessing falls risk.
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2012
Gerentology
Evaluation of Falls Risk in Community-Dwelling Older Adults Using Body-Worn Sensors
QTUG™ has been validated prospectively (N=226), and has been shown to provide an accurate measure of falls risk in older adults.
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2011
J Biomech
Estimation of minimum ground clearance (MGC) using body-worn inertial sensors
Mobility parameters derived using Kinesis QTUG™ have been shown to be strongly linked to Minimum Ground Clearance (MGC), which is strongly linked to risk of falls in older adults.
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2011
J Appl Biomech
A Comparison of Algorithms for Body-Worn Sensor-Based Spatiotemporal Gait Parameters to the GAITRite Electronic Walkway
The inertial sensor algorithms contained in Kinesis QTUG™ have been validated against gold standards (optical motion capture system, forceplate and GAITRite) for assessment of temporal and spatial gait parameters in normal and pathological gait as well as treadmill running.
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2011
Annu Int Conf IEEE Eng Med Biol Soc
Reliability of Quantitative TUG measures of mobility for use in falls risk assessment
Mobility parameters derived using Kinesis QTUG™ have been shown to provide reliable measurement of gait and mobility, showcasing fair to good test-retest reliability.
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2011
Annu Int Conf IEEE Eng Med Biol Soc
Body-worn sensor based surrogates of minimum ground clearance in elderly fallers and controls
Mobility parameters derived using Kinesis QTUG™ have been shown to be strongly linked to Minimum Ground Clearance (MGC)21, which is strongly linked to risk of falls in older adults.
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2025
Sage Journal
Precision neurocognition: An emerging diagnostic paradigm leveraging digital cognitive assessment technology
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2025
PubMed
Performance of Older Adults on the Digital Clock and Recall Test Compared to the Montreal Cognitive Assessment in Primary Care Settings
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2025
Ann Family Med
Agile Implementation of a Digital Cognitive Assessment for Dementia in Primary Care
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2025
Ann Family Med
Feasibility and Acceptability of Implementing a Digital Cognitive Assessment for Alzheimer Disease and Related Dementias in Primary Care
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2025
J Prev Alzheimers Dis
Effects of the Davos Alzheimer's Collaborative early detection of cognitive impairment program on clinician attitudes, engagement, and confidence
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2025
Alz & Dem
Optimizing primary care for cognitive impairment screening using agile implementation
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2025
Alz & Dem
Implementing Digital Cognitive Assessments to Detect Cognitive Impairment: Results from the Davos Alzheimer’s Collaborative Early Detection Program
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2025
Alz & Dem
Elevated amyloid‐ß and tau burden is associated with accelerated cognitive decline on a digital clock drawing test in preclinical AD
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2024
Amyotroph Lateral Scler Frontotemporal Degener
Automated speech analytics in ALS: higher sensitivity of digital articulatory precision over the ALSFRS-R
The results demonstrate that the digital measure of articulatory precision effectively detects clinically important differences in speech ratings, outperforming the ALSFRS-R speech item. Taken together, the results herein suggest that this speech outcome is a clinically meaningful measure of speech change.
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2024
Frontiers in Psychology Neuropsychology
Digital assessment of cognition in neurodegenerative disease: a data driven approach leveraging artificial intelligence
This study demonstrated the clinical utility of the digital administration of a protocol consisting of the Philadelphia (repeatable) Verbal Learning Test [P(r)VLT], backward from the Backwards Digit Span Test (BDST), and the “animal” fluency. The digital protocol used process-based metrics to identify cognitive impairment as good as standard paper and pencil 3-hour neuropsychological tests, in a fraction of the time. This 7-minute digital assessment can help streamline the clinical workflow in identifying of patients with cognitive impairment, opening doors for intervention and treatment.
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2024
JMIR
The Dual Task Ball Balancing Test and Its Association With Cognitive Function: Algorithm Development and Validation
Results suggest the dual task ball balancing test could have utility as a digital cognitive assessment of cognitive reserve. The portability, simplicity and intuitiveness of the task suggests it may be suitable for unsupervised home assessment of cognitive function.
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2024
Journal of Prevention of Alzheimer's Disease
Digital Health Technologies for Alzheimer’s Disease and Related Dementias: Initial Results from a Landscape Analysis and Community Collaborative Effort
This multi-stakeholder collaborative effort, involving experts from academia, industry, clinical practice, and patient advocacy groups, surveyed 20 years of peer-reviewed literature and community input to catalog technologies like wearable sensors, smartphone/tablet apps, smart home setups, and more. These findings provide clinicians and researchers with a landscape overview describing the range of technologies for assessing Alzheimer's disease and related dementias. A living library of technologies – including Linus Health assessments – is presented for the clinical and research communities which will keep findings up-to-date as the field develops.
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2024
Alzheimer's Research & Therapy
Digital Clock and Recall is superior to the Mini-Mental State Examination for the detection of mild cognitive impairment and mild dementia
DCR outperforms the MMSE in detecting and classifying cognitive impairment—in a fraction of the time—while being not influenced by a patient’s ethnicity. The results support the utility of DCR as a sensitive and efficient cognitive assessment in primary care settings.
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2024
Alzheimers Dement (N Y)
Livestream, group movement program for people living with cognitive impairment and care partners: A randomized clinical trial
This robust clinical trial demonstrates the impact that our Moving Together program can have on quality of life and physical function for people with Alzheimer's DIsease or dementia, and our impact on caregivers' ability to manage stress.
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2024
JMIR
Digital Assessment of Cognitive Health in Outpatient Primary Care: Usability Study Digital Assessment of Cognitive Health in Outpatient Primary Care: Usability Study Authors of this article:
In conclusion, this study demonstrated the feasibility of integrating Linus Health’s Core Cognitive Evaluation (CCE) into outpatient primary care settings with minimal disruption to clinical workflows. The digital cognitive assessment was well received by both patients and primary care physicians (PCPs), with high levels of usability and patient satisfaction. The results influenced clinical decision-making, leading to follow-up referrals and diagnostic tests.
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2024
Front. Psychol.
Digital assessment of cognition in neurodegenerative disease: a data driven approach leveraging artificial intelligence
This study demonstrated the clinical utility of the digital administration of a protocol consisting of the Philadelphia (repeatable) Verbal Learning Test [P(r)VLT], backward from the Backwards Digit Span Test (BDST), and the “animal” fluency. The digital protocol used process-based metrics to identify cognitive impairment as good as standard paper and pencil neuropsychological tests, in a fraction of the time. This 7-minute digital assessment can help streamline the clinical workflow in identifying of patients with cognitive impairment, opening doors for intervention and treatment.
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2024
J Prev Alzheimers Dis
Digital Health Technologies for Alzheimer's Disease and Related Dementias: Initial Results from a Landscape Analysis and Community Collaborative Effort
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2024
The European Society of Medicine
The 10 tenets of Brain Health for clinical practice in the era of technology.
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2023
J Gen Intern Med
External Validation of the eRADAR Risk Score for Detecting Undiagnosed Dementia in Two Real-World Healthcare Systems
eRADAR showed strong external validity for detecting undiagnosed dementia in two health systems with different patient populations and differential availability of external healthcare data for risk calculations, demonstrating generalizability and transportability across health systems.
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2023
Global Advances in Integrative Medicine and Health
Adaptation of an In-Person Mind-Body Movement Program for People with Cognitive Impairment or Dementia and Care Partners for Online Delivery: Feasibility, Satisfaction and Participant-Reported Outcomes
People with memory loss and care partners report high satisfaction, feasiblity and positive outcomes across multiple domains in this pilot study of the online Moving Together program.
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2023
Innov Aging.
IMPLEMENTATION OF A DIGITAL COGNITIVE SCREENING PROGRAM FOR DEMENTIA IN PRIMARY CARE
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2022
Archives of Family Medicine and General Practice
Expanding Cognitive Screening for Older Adults in Primary Care
(1) Early diagnosis of Alzheimer's disease and Related Dementias (ADRDs) can improve the clinical management of patients; (2) It allows adequate time to recruit interested patients in clinical trials of novel therapeutics and to track longitudinally their cognitive and clinical status; (3) Enable objective metrics of target engagement in response to novel treatments; (4) Ensure earlier implementation of effective treatments during windows of opportunity that can yield the greatest improvements in patients' outcome and finally, (5) Can offer individuals diagnosed with ADRDs a longer lead time to make important decisions about their personal and family life in the remaining time they have.
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2022
J Alzheimers Dis
The Boston Process Approach and Digital Neuropsychological Assessment: Past Research and Future Directions
Studies that demonstrate how digital technology translates BPA into specific neurocognitive constructs using the Clock Drawing Test, Backward Digit Span Test, and a Digital Pointing Span Test are described. Implications for using data driven artificial intelligence-supported analytic approaches enabling the creation of more sensitive and specific detection/diagnostic algorithms for putative neurodegenerative illness are also discussed.
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2022
Interspeech
Are reported accuracies in the clinical speech machine learning literature overoptimistic?
The results show that reported accuracy declines as a function of increasing sample size, with small sample size studies yielding an overoptimistic estimate of the accuracy. For correctly trained models, this is unexpected as the ability of a machine learning model to predict group membership ought to remain the same or improve with additional training data. We posit that the overoptimism is the result of a combination of publication bias and overfitting and suggest mitigation strategies.
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2022
JAMA Neurol
Risk Factors Associated With Alzheimer Disease and Related Dementias by Sex and Race and Ethnicity in the US
This research updates estimates of the proportion of ADRDs in the US that are associated with modifiable risk factors; findings suggest that risk factors associated with ADRDs have changed over the past decade and differsignificantly based on sex and race and ethnicity.
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2022
Wearable Technol
Estimating balance, cognitive function, and falls risk using wearable sensors and the sit-to-stand test
Findings from a study in 168 community dwelling older adults showed that The Five Times Sit to Stand (FTSS) test and wearable sensors can provide accurate estimation of falls risk, balance impairment and cognitive decline
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2022
JMIR Res Protoc
Description of the Method for Evaluating Digital Endpoints in Alzheimer Disease Study: Protocol for an Exploratory, Cross-sectional Study
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2021
Fron Neurology
Spatio-Semantic Graphs From Picture Description: Applications to Detection of Cognitive Impairment
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2021
npJ Digital Medicine
Digital medicine and the curse of dimensionality
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2021
IEEE Trans Biomed Eng.
A Deep Learning Algorithm for Objective Assessment of Hypernasality in Children With Cleft Palate
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2021
The Journal of Headache and Pain
Altered speech patterns in subjects with post-traumatic headache due to mild traumatic brain injury
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2021
IEEE/ACM Trans Audio Speech Lang Process.
Robust Estimation of Hypernasality in Dysarthria With Acoustic Model Likelihood Features
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2021
J Med Internet Res
Association Between the Digital Clock Drawing Test and Neuropsychological Test Performance: Large Community-Based Prospective Cohort (Framingham Heart Study)
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2021
Curr Alzheimer Res
Extended Application of Digital Clock Drawing Test in the Evaluation of Alzheimer's Disease Based on Artificial Intelligence and the Neural Basis
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2021
J Parkinsons Dis
Parkinson's Disease Cognitive Phenotypes Show Unique Clock Drawing Features when Measured with Digital Technology
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2021
J Alzheimers Dis
Classifying Non-Dementia and Alzheimer's Disease/Vascular Dementia Patients Using Kinematic, Time-Based, and Visuospatial Parameters: The Digital Clock Drawing Test
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2020
Journal of the American Geriatrics Society
Development and Validation of eRADAR: A Tool Using EHR Data to Detect Unrecognized Dementia
This research describes development and validation of a novel electronic health record (EHR)-based tool to help detect patients with unrecognized dementia (EHR Risk of Alzheimer's and Dementia Assessment Rule [eRADAR]).
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2020
Aging & Mental Health
An integrative group movement program for people with dementia and care partners together (Paired PLIÉ): initial process evaluation
This qualitative study explored care partner response to the novel, integrative group movement program, Paired PLIÉ, demonstrating that both people with dementia and their care partners can participate in and benefit from community-based programs and build skills to maintain function and quality of life.
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2020
Alzheimer's & Dementia
Moving together: Livestream virtual group movement classes for persons living with dementia and caregivers—Feasibility and satisfaction
Online delivery of Moving Together is feasible and acceptable to people with dementia and caregvers; offering livestream virtual group movement classes such as Moving Together could enhance accessibility to evidenced-based programs for these patients and families.
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2020
Annals of Clinical and Translational Neurology
Improved ALS clinical trials through frequent at-home self-assessment: a proof of concept study
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2019
interspeech
Objective Assessment of Social Skills Using Automated Language Analysis for Identification of Schizophrenia and Bipolar Disorder
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2019
Health Expectations
What matters to people with memory problems, healthy volunteers and health and social care professionals in the context of developing treatment to prevent Alzheimer's dementia? A qualitative study
This study gives insights into the aspects of everyday life which are important to consider when measuring the effectiveness of new treatment to slow and prevent dementia, namely: Everyday Functioning, Sense of Identity, Relationships and Social Connections, Enjoying Life and Alleviating Symptoms. The perspectives of people experiencing memory problems, healthy volunteers and health and social care professionals are compared and contrasted. In the ePSOM programme, the focus groups were a vital bridge between the literature review and the population survey to be implemented in the UK in early 2019. They defined the five key themes to be used in the survey, as well as highlighting key distinctions of emphasis between health‐care professionals, people experiencing memory problems and those at (apparent) high risk of dementia. The fourth stage of the project, that is the development and delivery of the outcome assessment tool for use in clinical trials, will hence be directly informed by all three preceding steps: literature review, focus groups and population survey.
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2018
Cephalalgia
Altered speech with migraine attacks: A prospective, longitudinal study of episodic migraine without aura
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2018
Alzheimer's & Dementia: TRCI
Participant outcomes and preferences in Alzheimer's disease clinical trials: The electronic Person-Specific Outcome Measure (ePSOM) development program
It is important to consider preferences for an intervention and use PROMs for the measure of effectiveness given that both risk and benefit are judged by the recipient of the treatment. The ePSOM development program will deliver the methodology for incorporating meaningful outcomes in clinical trials to expand upon current biological and clinical measurements of effectiveness.
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2017
J Speech Lang Hear ReS
Predicting Intelligibility Gains in Dysarthria Through Automated Speech Feature Analysis
Early identification of declining balance in higher functioning older adults, an inertial sensor based method
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2017
Brain Lang
Longitudinal changes in linguistic complexity among professional football players
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2017
IEEE Signal Processing Letters
Articulation Entropy: An Unsupervised Measure of Articulatory Precision
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2017
J Speech Lang Hear Res
Assessing Vowel Centralization in Dysarthria: A Comparison of Methods
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2016
Gait Posture
The effect of a dual task on gait speed in community dwelling older adults: A systematic review and meta-analysis
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2016
J Acoust Soc Am
The role of stress and word size in Spanish speech segmentation
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2016
J Acoust Soc Am
The relationship between perceptual disturbances in dysarthric speech and automatic speech recognition performance
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2016
INTERSPEECH
Accent identification by combining deep neural networks and recurrent neural networks trained on long and short term features
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2016
Mach Learn
Learning Classification Models of Cognitive Conditions from Subtle Behaviors in the Digital Clock Drawing Test
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2016
Gait Posture
The reliability of the quantitative timed up and go test (QTUG) measured over five consecutive days under single and dual-task conditions in community dwelling older adults
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2015
J Alzheimers Dis
Tracking discourse complexity preceding Alzheimer's disease diagnosis: a case study comparing the press conferences of Presidents Ronald Reagan and George Herbert Walker Bush
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2015
PLOS One
Preventing Loss of Independence through Exercise (PLIÉ): A Pilot Clinical Trial in Older Adults with Dementia
Preventing Loss of Independence through Exercise (PLIÉ) is a novel, integrative exercise program that shows promise for improving physical function, cognitive function, quality of life and caregiver burden in individuals with mild-to-moderate dementia. Larger randomized, controlled trials are warranted.
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2015
Eur J Appl Physiol
Stability of daily home-based measures of postural control over an 8-week period in highly functioning older adults
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2014
J Speech Lang Hear Res
Vowel Acoustics in Dysarthria: Speech Disorder Diagnosis and Classification
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2014
J Acoust Soc Am
Characterizing the distribution of the quadrilateral vowel space area
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2013
Folia Phoniatr Logop
Crosslinguistic application of English-centric rhythm descriptors in motor speech disorders
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2011
Lancet Neurol
The projected effect of risk factor reduction on Alzheimer's disease prevalence
Dr. Barnes and her colleagues were the first to identify and quantify the impact of a broad set of risk factors associated with Alzheimer's Disease (AD) that if addressed, could reduce the prevalence of AD worldwide up to 25%. This initial list of 7 factors has since been studied further and expanded upon, increasing impact on prevalence to 40%, and management of modifiable risk factors is now best practice and continues to be the subject of non-drug therapeutic research.
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2011
Parkinsons Dis
A cognitive-perceptual approach to conceptualizing speech intelligibility deficits and remediation practice in hypokinetic dysarthria
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2010
Annu Int Conf IEEE Eng Med Biol Soc
Adaptive estimation of temporal gait parameters using body-worn gyroscopes
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2010
IEEE Trans Biomed Eng
Quantitative falls risk assessment using the timed up and go test
The findings of the study of 349 community-dwelling elderly adults suggest the QTUG offers an improvement over two standard falls risk assessments (TUG and BBS) and has shown to provide an accurate measure of falls risk in older adults
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2010
J Speech Lang Hear Res
Discriminating dysarthria type from envelope modulation spectra
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2009
Intel® Technology Journal
A Common Personal Health Research Platform–SHIMMER and BioMOBIUS (Part 2 of 3)
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2009
J Speech Lang Hear Res
Quantifying speech rhythm abnormalities in the dysarthrias
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2009
Intel Technology
A COMMON PERSONAL HEALTH RESEARCH PLATFORM - SHMMER AND BIOMOBIUS.
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2007
Parkinsonism Relat Disord
Clinical-pathologic study of biomarkers in FTDP-17 (PPND family with N279K tau mutation)
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2007
Parkinsonism Relat Disord
Clinical-pathologic study of biomarkers in FTDP-17 (PPND family with N279K tau mutation)
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2006
Journal of Medical Speech-Language Pathology
The impact of stimulated vocal loudness on nasalance in dysarthria
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2006
Am J Speech Lang Pathol
Speech characteristics of patients with pallido-ponto-nigral degeneration and their application to presymptomatic detection in at-risk relatives
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