Therapeutic area
Huntington disease
Developing and evaluating digital measures of movement, speech, cognition, and daily function in Huntington disease.
Huntington disease (HD) is an inherited, progressive brain disorder that affects movement, thinking, mood, behavior, and daily function. Movement symptoms may include involuntary movements (chorea), muscle contractions (dystonia), changes in eye movements, and difficulties with walking, balance, or speech. Cognitive changes can affect planning, processing speed, attention, and working memory.
Published evidence for digital measures in HD
Peer-reviewed studies identified movement and speech differences in groups with HD, prodromal HD, and no HD. These findings support further evaluation of digital measures for early-stage research.
Our research in HD
Our research in HD, supported by $4.6 million in NIH funding, focuses on three complementary areas: developing measures of symptoms and daily function, evaluating their ability to capture early changes, and building longitudinal datasets to complement clinical assessments.
-
Digital measures
Digital measures for tracking HD
Wearable sensors and digital assessments to study HD symptoms and daily function between clinical visits.
-
Early stages of HD
Digital measures for early-stage HD
Digital measures under evaluation for characterizing movement and cognitive changes in early-stage HD.
-
Longitudinal datasets
Longitudinal data to complement clinical trials
Repeated assessments and wearable recordings to study changes in daily function alongside clinical trial measures.
Digital measures for tracking HD
Our research combines wearable sensors with digital assessments to study HD-related function in the clinic and at home. We are evaluating measures of activity, posture, falls, upper limb movement, gait, speech, cognition, and eye movements alongside clinical assessments. Repeated measurements may help characterize changes that occur between visits.
-
PAMSys and PAMSys Fall
Wearable sensors that characterize daily activity, walking, and posture, with PAMSys Fall identifying potential falls for review.
-
PAMSys ULM
Wrist-worn sensors and algorithms that characterize upper limb movement and patterns consistent with goal-directed hand use, including irregularity associated with HD.
-
LEGSys
Wearable sensors that quantify walking speed, stride timing, and gait variability during standardized walking assessments.
-
BioDigit Speech
Standardized speech tasks and automated analysis to characterize speech features relevant to dysarthria.
-
Cognitive and fine motor assessments
Standardized digital tasks to measure cognitive and fine motor performance repeatedly at home.
-
Oculomotor assessments
Video-based tasks under evaluation for measuring eye movement features relevant to HD, including saccades, fixation, and smooth pursuit.
Digital measures for early-stage HD
Early-stage HD research requires measures that can capture subtle changes in movement, thinking, and daily function. Clinical rating scales provide valuable information, while repeated digital assessments may add detail between visits. We are studying whether these measures can reliably detect change over time and support the evaluation of potential treatments.
-
Cognitive function
Repeated tasks assess processing speed, attention, planning, and working memory to explore cognitive change over time.
-
Motor and movement
Measures of tapping, hand use, movement regularity, and gait add detail about motor performance between clinical visits.
-
Speech and oculomotor function
Standardized speech and eye movement tasks are being evaluated for their ability to characterize features relevant to HD.
Evidence supporting our digital measures in HD
Peer-reviewed, cross-sectional studies found associations between digital measures and clinical scores, as well as differences between study groups. These findings support further validation; the studies did not establish the ability to track progression or treatment response over time.
-
Upper limb function
Characterizing upper limb movement
A Communications Medicine study analyzed seven days of wrist-sensor data from 39 participants with HD, prodromal HD, or no HD. Movement features differed between groups and correlated with clinical scores.
-
Speech
Digital speech assessment
A Frontiers in Neurology study analyzed speech from 36 participants with HD, prodromal HD, or no HD. Speech features differed between groups and were associated with clinical measures of disease severity.
$4.6 million in NIH support for HD research
NIH support advances our work on digital measures and longitudinal data collection in HD, including evaluation alongside established clinical assessments.
Our clinical studies in HD
Our observational studies combine clinical assessments, digital tasks, and scheduled wearable recordings to examine function over time. BioDigit HD details below are reported by BioSensics. HD-02 details reflect its January 2026 registry update, including planned enrollment and follow-up.
-
Completed (BioSensics)
BioDigit HD
- ClinicalTrials.gov
- NCT03599076 (opens in a new tab)
- Participants
- 44
- Follow-up
- Up to 2.5 years
-
Not yet recruiting (Jan 2026)
BioDigit HD-02
- ClinicalTrials.gov
- NCT07315984 (opens in a new tab)
- Planned participants
- 75
- Follow-up
- 12 months
Our research partners
We collaborate with academic researchers and patient advocacy organizations to advance HD research.
- Huntington's Disease Society of America
- University of Rochester
- Vanderbilt University Medical Center
Selected publications and presentations
-
Clinical Parkinsonism & Related Disorders, 2025
Digital speech assessments and machine learning for differentiation of neurodegenerative diseases (opens in a new tab)
-
Communications Medicine, 2025
Using wearable sensors and machine learning to assess upper limb function in Huntington's disease (opens in a new tab)
-
Frontiers in Neurology, 2024
Digital assessment of speech in Huntington disease (opens in a new tab)
-
Neurology / AAN abstract, 2024
Continuous Monitoring of Upper Limb Function in Neurological Disorders Using a Wearable Sensor (opens in a new tab)
-
MDS Congress abstract, 2024
Remote monitoring of upper limb function in Huntington's disease using a wearable sensor (opens in a new tab)
-
MDS Virtual Congress abstract, 2020
Remote monitoring of physical activity and falls in patients with Huntington's disease using wearable sensors (opens in a new tab)
Advance HD research with digital measures
Plan digital assessments for your HD study. Discuss research collaboration, study protocols, and access to relevant datasets with our team.