Products
LEGSys™
Objective gait analysis in the clinic and at remote study visits.
LEGSys is a portable, FDA-listed wearable system for objective gait assessment. Body-worn inertial sensors capture lower-body motion and calculate gait parameters during standard walking tests, without a fixed gait laboratory.
FDA ISTAND acceptance for LEGSys-derived foot-drop measures
The FDA ISTAND program has accepted a Letter of Intent for LEGSys-derived foot-drop measures collected during the 6-Minute Walk Test in adults with CMT1A. The proposed use is to assess change over time in clinical trials.
Gait analysis across study settings
Laboratory gait systems and instrumented walkways provide detailed measurements, but their fixed setups can limit assessment locations and walking distance. LEGSys brings quantitative gait assessment to clinical sites and remote visits: research teams can use standard walking tests to measure gait and track changes over time across multisite and decentralized clinical trials.
What LEGSys measures
LEGSys measures lower-body motion during walking and standard functional tests to calculate spatiotemporal and kinematic gait parameters.
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Standard functional tests
Built-in modules for walking tests and the Timed Up & Go (TUG).
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Spatiotemporal gait
Walking speed, step and stride length, step and stride time, and cadence.
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Gait phases
Swing and stance times, double support, and the timing of gait-cycle phases.
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Gait steadiness
Step and stride variability to characterize consistency during walking.
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Joint kinematics
Sensor-derived motion and range-of-motion estimates for the shanks, thighs, knees, and trunk.
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Automated reports
Automatically generated reports with assessment history for comparison with baseline.
Additional parameters (research only)
Study-specific configurations can extend gait analysis to dynamic balance, gait initiation, foot-drop features, and arm motion. Available measures depend on sensor placement and software configuration.
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Dynamic balance
Estimated side-to-side and forward-backward center-of-mass sway during walking.
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Gait initiation
Steps, distance, and timing needed to transition from standing to steady walking.
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Foot drop
Study-specific measures related to reduced foot clearance and ankle motion during swing.
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Wrist motion during walking
Wrist-worn sensors characterize arm swing and wrist motion during walking.
Designed for objective clinical assessment
Portable sensors, standard test modules, and automated reports support consistent gait assessment across clinical and remote study settings.
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Five-sensor set
Up to five 9-axis inertial sensors on the shanks, thighs, and lower back capture lower-body movement.
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Automated setup checks
Algorithms help detect and compensate for supported setup errors; correct placement remains essential.
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FDA-listed
FDA-listed for gait assessment, with fall-risk assessment intended for patients aged 70 and older.
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Portable, no walkway needed
Assess gait in clinics and study settings with suitable walking space, without a fixed laboratory or instrumented walkway.
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Configurable measures
Study-specific versions support additional measures, including foot-drop features and wrist motion during walking.
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Remote-ready
Works with BioDigit Home for remote gait assessments, with supervision tailored to participants and study protocols.
LEGSys specifications
| Specification | Details |
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| Form factor | Up to five lightweight wearable sensors with straps, worn on the shanks, thighs, and lower back |
| Sensors | 9-axis IMU per unit (tri-axial accelerometer, gyroscope, and magnetometer) |
| Sampling rate | 100 Hz |
| Connectivity | Wireless data streaming to the host application |
| Analysis | Algorithms calculate spatiotemporal gait and motion measures; outputs depend on sensor and software configuration |
| Functional tests | Built-in modules for Timed Up & Go (TUG) and 6-Minute Walk Test (6MWT) |
| Error handling | Automated checks help identify and compensate for supported setup errors; correct sensor placement remains essential |
| Configurations | Study-specific configurations for foot-drop features and wrist motion during walking |
| Reporting | Automated reports with assessment history for comparison with baseline and tracking change |
| Deployment | In-clinic and remote assessments via BioDigit Home, with supervision appropriate to the protocol |
| Cloud integration | BioDigit Cloud portal with API access; eligible study data may contribute to the BioDigit Database |
| Regulatory and quality | FDA-listed device; ISO 13485 quality management; cloud workflows designed to support HIPAA and GDPR requirements |
LEGSys data across disease cohorts
Gait data from selected patient and healthy-control studies can support digital biomarker research through the BioDigit Database. Research and industry partners can explore cohort-specific data access.
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Healthy controls
Gait and balance data from participants without the condition under study, supporting comparisons with patient cohorts.
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Alzheimer's disease
Walking speed, gait variability, and dual-task performance to study functional impairment and change over time.
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Charcot-Marie-Tooth disease
Gait measures to investigate functional impairment in hereditary motor and sensory neuropathy.
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Corticobasal syndrome
Test-based gait and balance measures to investigate functional impairment in corticobasal syndrome.
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Huntington disease
Gait and balance measures in prodromal and manifest cohorts to explore relationships with disease stage and clinical scores.
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Progressive supranuclear palsy
Gait and functional mobility measures to investigate impairment and changes over time.
Available measures, participant counts, follow-up duration, and access terms vary by cohort. Data sharing is subject to study consent and applicable agreements.
LEGSys research and publications
Selected papers and a conference abstract using BioSensics gait and balance technology. Findings apply to the devices, measures, and populations studied.
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Neurology abstract, 2025
Application of Wearable Sensors to Assess Disease Severity in Adults with Charcot-Marie-Tooth Disease (opens in a new tab)
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J. Neurologic Physical Therapy, 2024
Use of a robotic walking device for home and community mobility in Parkinson disease: A randomized controlled trial (opens in a new tab)
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BMC Neurology, 2023
Remote at-home wearable-based gait assessments in Progressive Supranuclear Palsy compared to Parkinson's Disease (opens in a new tab)
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J. of Clinical Medicine, 2023
Efficacy of transcutaneous 4.4 MHz radiofrequency diathermy versus therapeutic ultrasound for pain relief and functional recovery in patients with knee osteoarthritis (opens in a new tab)
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Scientific Reports, 2023
Game-based intradialytic non-weight-bearing exercise training on gait speed and balance in older adults with diabetes (opens in a new tab)
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Neurology, 2022
Randomized phase 2 study of ACE-083 in patients with Charcot-Marie-Tooth disease (opens in a new tab)
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Neurological Sciences, 2022
Assessment of gait and balance impairment in people with spinocerebellar ataxia using wearable sensors (opens in a new tab)
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PLOS ONE, 2016
A Pilot Clinical Trial to Objectively Assess the Efficacy of Electroacupuncture on Gait in Patients with Parkinson's Disease Using Body Worn Sensors (opens in a new tab)
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PLOS ONE, 2015
Motor Performance Assessment in Parkinson's Disease: Association between Objective In-Clinic, Objective In-Home, and Subjective/Semi-Objective Measures (opens in a new tab)
Part of the BioSensics ecosystem
Combine LEGSys with other BioSensics tools in one study protocol, with supported data streams available through BioDigit Cloud.
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Balance assessment
BalanSens
Wearable balance and postural sway assessment without a force plate.
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Gait monitoring
PAMSys Gait
Continuous real-world gait monitoring with stride-level metrics from an ankle-worn sensor.
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In-clinic assessment
BioDigit Clinic
Speech, video, cognitive, and fine motor assessments at clinical sites in a single multimodal system.
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Research data
BioDigit Database
A research database of digital measures and clinical data across disease cohorts.
Bring gait assessment into your study
Talk with our team about assessment protocols, study deployment, and data access.