Clinical movement analysis
The right movement assessment for every patient, pathway and setting.
MoveLab combines camera-based analysis, phone sensor data and wearable activity insights in one browser-based clinical platform.
Different clinical questions need different ways to measure movement. MoveLab gives clinicians the flexibility to assess joint range of motion, gait, functional mobility, pain, difficulty, PROMs and activity trends using patient-owned devices — with no app download required.
Camera-based assessment
Phone sensor — gait
Wearable activity
Developed with clinical and academic partners
Net Zero delivery — browser-based, on patient-owned devices
Around 1% the cost of a traditional in-person appointment
Validated against gold-standard motion capture in controlled studies
Multi-modal by design
Why multi-modal movement assessment matters
No single capture method is right for every clinical scenario. Camera-based analysis can provide rich visual movement data, but depends on environment, positioning and field of view. Phone sensor-based assessment can be better suited for gait and functional mobility tests where camera setup is impractical. Wearable activity data adds longitudinal context between formal assessments. MoveLab combines these methods in one browser-based platform, allowing clinical teams to choose the right method for the pathway, patient and setting.
Camera-based assessment
Best for
Joint range of motion, visible movement quality, task-specific movement analysis.
Phone sensor-based assessment
Best for
Gait, Timed-Up-and-Go, sit-to-stand and real-world mobility tests.
Wearable activity context
Best for
Steps, activity trends, adherence signals and between-assessment context.
Capabilities
One platform for clinical movement data
From joint angles to longitudinal activity trends, MoveLab brings the metrics that matter into a single clinician view.
Joint range of motion
Camera-based ROM measurement across upper and lower limb tasks.
Gait analysis
Spatiotemporal gait parameters from smartphone sensors.
Timed-Up-and-Go
Standardised TUG with sensor-derived sub-phase timings.
30-second sit-to-stand
Repetition counts and movement quality indicators.
Pain and difficulty scales
Patient-reported pain and difficulty captured alongside movement.
PROMs
Configurable patient-reported outcome measures by pathway.
Patient engagement metrics
Completion, adherence and reminder responsiveness.
Longitudinal trend analysis
Track change over time across assessments.
Automated follow-up assessments
Scheduled reassessments without clinician overhead.
Fitbit / Google Health activity
Steps and activity trends for between-assessment context.
Pathways
Built for pathways where movement changes matter
Neurology and stroke rehabilitation
- Challenge
- Recovery is gradual and difficult to capture between appointments.
- Relevant data
- Joint ROM, gait parameters, affected/unaffected side comparison, activity trends.
- Use case
- Home-based recovery monitoring across rehabilitation episodes.
Older adult mobility and frailty
- Challenge
- Functional change can be subtle until a fall or admission occurs.
- Relevant data
- TUG, sit-to-stand, gait speed, daily activity context.
- Use case
- Remote mobility monitoring and proactive review.
Orthopaedics and MSK recovery
- Challenge
- ROM, pain and function are tracked inconsistently between visits.
- Relevant data
- Joint ROM, pain/difficulty, PROMs, repetition tasks.
- Use case
- Pre- and post-operative monitoring at scale.
Remote triage and waiting list management
- Challenge
- Limited objective movement data before first appointment.
- Relevant data
- Standardised movement metrics and PROMs captured remotely.
- Use case
- Prioritisation, virtual triage and automated follow-up.
Clinical research and outcomes monitoring
- Challenge
- Repeatable, ecologically valid movement data is hard to collect.
- Relevant data
- Repeatable assessments, PROMs, engagement metrics, longitudinal datasets.
- Use case
- Trial recruitment, follow-up and real-world endpoints.
Medical device and post-operative pathways
- Challenge
- Objective recovery signals beyond clinic visits are limited.
- Relevant data
- Movement metrics, activity context and PROMs across the recovery window.
- Use case
- Partner deployment and post-market evidence generation.
Longitudinal value
Joining the dots between movement and intervention
MoveLab makes it easy for healthcare teams to record interventions alongside movement data — so we are not just collecting isolated measurements.
We are joining the dots and creating longitudinal records that show what changed, when it changed, and what intervention may have contributed to that change.
For healthcare teams, the value is simple: low-cost, low-friction objective movement data. That makes MoveLab relevant not only for providers, but also for organisations interested in treatment, device or pharmaceutical performance over time.
Providers
Pathway monitoring
Medical device partners
Recovery signal
Pharma & treatment studies
Performance over time
Evidence
Clinical evidence behind the platform
MoveLab has been evaluated against gold-standard motion capture and clinical-standard functional assessments in controlled laboratory studies, with published evidence supporting key gait, functional mobility and joint angle outputs.
Sensor-based gait and mobility validation
Gait spatiotemporal parameters, Timed-Up-and-Go and sit-to-stand evaluated against clinical-standard methods.
Camera-based joint angle validation
Joint angle and range of motion outputs compared with 3D motion capture in laboratory conditions.
Ongoing pathway evidence
NHS pilots, clinical workflow evaluation and real-world deployment evidence in progress.
Deployment
No app downloads. Lower friction for real-world clinical use.
MoveLab runs through the browser on patient-owned devices, reducing barriers for older users, remote patients and clinical teams. Assessments can be deployed without requiring patients or clinicians to install an app.
- Browser-based access
- Patient-owned smartphones and wearables
- Suitable for remote or clinic-based use
- Lower onboarding friction
- Designed for older users and accessibility-sensitive pathways
- Supports triage, monitoring and research workflows
Get started
See how MoveLab could support your pathway
Book a clinical demo to explore how camera-based assessment, phone sensor analysis and wearable activity data could fit into your service, research project or partnership model.
Net Zero delivery on patient-owned devices — at around 1% the cost of a traditional in-person appointment.
