Clinical trialsBeta

Video-derived digital biomarkers for clinical trial movement tasks

Use ConductVision to design, review, and export video-derived movement outcomes for clinical trials and translational studies.

Clinical researchLongitudinal studiesRemote or lab captureTrial endpoint planning
Clinical trial participant completing a standardized movement task with video-derived research measures.
Study measures

What the camera can measure

These outputs are designed for study comparison, rater review, and statistical analysis. They are not diagnostic claims.

Gait biomarker candidate

stride timing, step symmetry, turn behavior, and gait speed

Tremor measure candidate

hand or limb displacement frequency and amplitude

Dexterity measure candidate

tap timing, peg placement, or hand path movement

Remote quality flag

framing, lighting, occlusion, distance, and task completeness

Study setup

Build the task around your protocol

ConductVision works best when the task, camera setup, annotations, and export fields are defined before the first participant visit.

Task presets

  • walking
  • sit-to-stand
  • tremor hold
  • range of motion
  • finger tapping
  • remote guided task

Researcher annotations

  • site ID
  • visit window
  • device/camera model
  • protocol version
  • review status

Export fields

  • task-level outcomes
  • quality flags
  • landmark time series
  • review audit trail
  • analysis settings

Camera setup

Protocol-specific camera placement with calibration requirements documented before first participant visit.

Outcome table

Metrics, video signals, and comparators

Metric
Gait biomarker candidate
Video signal
stride timing, step symmetry, turn behavior, and gait speed
Interpretation
mobility change across visits
Comparator
instrumented walkway or clinical mobility scale
Tremor measure candidate
Video signal
hand or limb displacement frequency and amplitude
Interpretation
motor fluctuation under standardized conditions
Comparator
accelerometry or rater score
Dexterity measure candidate
Video signal
tap timing, peg placement, or hand path movement
Interpretation
manual motor performance across sessions
Comparator
9-hole peg test or MDS-UPDRS item
Remote quality flag
Video signal
framing, lighting, occlusion, distance, and task completeness
Interpretation
whether the recording is usable for analysis
Comparator
site monitoring and rater review rules

What is established

Digital health technologies in drug development require fit-for-purpose selection, protocol controls, and evidence for the context of use.

What ConductVision quantifies

ConductVision exports transparent movement signals, task summaries, review data, and quality flags for trial analytics teams.

What still needs validation

Endpoint qualification, clinically meaningful change, missing-data handling, and regulatory use require a formal validation plan.

Data export

Reviewable data for analysis teams

Exports are built for study notebooks, statistical analysis, and rater review. The video remains available for audit when the protocol allows it.

CSV task summary by participant, visit, and session
Frame-level landmark coordinates with confidence values
Event timestamps for starts, stops, repetitions, pauses, and task phases
JSON review files for overlays, researcher notes, and audit history
Evidence

Scientific context for the task family

These links point to the measurement areas researchers commonly use when validating a protocol.

Research-use measurement note

ConductVision outputs are research-use measurements unless a customer has completed their own clinical validation, regulatory review, and intended-use controls. The study team remains responsible for consent, privacy, camera calibration, rater review, and clinical interpretation.

Talk to a human movement specialist

Bring digital biomarkers in clinical trials into a real study protocol

Share the task, participant population, camera constraints, and outcomes you need to compare. We will help map what can be measured and what needs validation.