Products

BioDigit Video™

Automated video analysis of movement, facial function, and eye-related features.

BioDigit Video collects, manages, and analyzes video recordings for clinical research. Machine learning models quantify movement and other visible features from supported assessments, helping teams study function in the clinic and at home.

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BioDigit Video deployed in more than 10 neurological and autoimmune disease studies

BioDigit Video offers more than 40 standardized video assessments for clinic and home use. Study teams select tasks and automated analyses to match their protocol and research objectives.

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Measure function and movement through video

Video recordings make it possible to study visible changes in function across visits and settings. BioDigit Video applies machine learning to recordings from standardized functional assessments. Supported analyses turn recorded movement into quantitative measures of gait, hand movement, and facial or eye-related features. These measures can support longitudinal research and endpoint development in multisite and decentralized trials.

What BioDigit Video analyzes

  • Facial movement

    Quantitative features of facial movement, expression, and symmetry during supported tasks.

  • Gait

    Video-derived measures of walking and mobility for comparison across assessments.

  • Hand and finger movement

    Measures of hand and finger movement from recordings of standardized motor tasks.

  • Joint kinematics

    Estimates of joint angles and range of motion from supported movement assessments.

  • Motor function

    Quantitative features such as movement speed, amplitude, and coordination during supported motor tasks.

  • Eye and eyelid features

    Measures of eyelid position, including ptosis, and eye movement during supported gaze tasks.

How automated video analysis works

BioDigit Video applies task-specific models to standardized recordings to calculate quantitative features. The analysis workflow can be used for clinic and home recordings that meet the study's capture and quality requirements.

  • Machine learning models

    Task-specific models identify visible landmarks and quantify selected features from video.

  • Objective measures

    Supported recordings yield numerical measures that complement clinical assessments and video review.

  • Standardized inputs

    Capture protocols specify positioning, framing, and task instructions to support consistency across visits.

  • Repeatable scoring

    Applying the same model to recordings reduces reliance on subjective scoring and supports consistent analysis.

  • Clinic and home workflows

    A shared analysis workflow supports clinic and home recordings collected under the study protocol.

  • Endpoint development

    Quantitative features can be evaluated for reliability, clinical relevance, and sensitivity to change.

BioDigit Video specifications

BioDigit Video specifications
Specification Details
Modality Software for video collection, management, and automated analysis
Analysis domains Gait, hand and motor function, facial movement, and eye-related features
Analysis method Task-specific machine learning models for supported video assessments
Scoring Automated feature calculation for supported tasks; study-specific quality review
Inputs Standardized recordings that meet study-specific capture requirements
Outputs Quantitative features for functional assessment and clinical-trial endpoint development
Settings Clinic and home recordings collected using the study protocol

BioDigit Video data availability across disease cohorts

The BioDigit Database includes video recordings and derived measures from healthy participants and disease-specific research cohorts. Research and industry partners can discuss relevant datasets, available assessments, and access agreements with our team.

  • Healthy controls

    Video recordings from healthy participants for comparison with disease-specific research cohorts.

  • Corticobasal syndrome

    Video recordings for research into gaze and other visible features of function.

  • Huntington disease

    Video recordings for studying eye movement and other visible motor features.

  • Myasthenia gravis

    Video-derived measures of eyelid position and motor performance for studying fatigable weakness.

  • Progressive supranuclear palsy

    Video recordings for studying gaze, including vertical gaze, and visible changes in function.

  • Spinocerebellar ataxia

    Video recordings for studying gaze and movement features associated with ataxia.

Part of the BioSensics ecosystem

Combine BioDigit Video with other BioSensics assessments in a single study protocol. Integrated data collection and portal access help teams manage clinic and remote assessments together.

  • Speech assessment

    BioDigit Speech

    Automated speech analysis with more than 40 vocal features across supported assessments.

  • In-clinic assessment

    BioDigit Clinic

    Speech, video, cognitive, and fine motor assessments at clinical sites through a single platform.

  • At-home monitoring

    BioDigit Home

    Self-administered and remotely supervised assessments, including video, at home.

  • Cognitive assessments

    BioDigit Cognition

    Standardized cognitive assessments with automated scoring, administered in the clinic or at home on the same platforms.

Bring video assessment into your study

Contact our team to discuss video assessments, analysis options, and integration into your study.

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