Related Experiment Video
Updated: Jun 21, 2026

Home-Based Monitor for Gait and Activity Analysis
Published on: August 8, 2019
Remote at-home wearable-based gait assessments in Progressive Supranuclear Palsy compared to Parkinson's Disease
Mansi Sharma1, Ram Kinker Mishra2, Anna J Hall3
1Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Wang ACC Rm 715, 55 Fruit St. , Boston, MA, 02114, USA.
Background:
Wearable sensors can differentiate Progressive Supranuclear Palsy (PSP) from Parkinson's Disease (PD) in laboratory settings but have not been tested in remote settings.
Objectives:
To compare gait and balance in PSP and PD remotely using wearable-based assessments.
Methods:
Participants with probable PSP or probable/clinically established PD with reliable caregivers, still able to ambulate 10 feet unassisted, were recruited, enrolled, and consented remotely and instructed by video conference to operate a study-specific tablet solution (BioDigit Home ™) and to wear three inertial sensors (LEGSys™, BioSensics LLC, Newton, MA USA) while performing the Timed Up and Go, 5 × sit-to-stand, and 2-min walk tests. PSPRS and MDS-UPDRS scores were collected virtually or during routine clinical visits.
Results:
Between November, 2021- November, 2022, 27 participants were screened of whom 3 were excluded because of technological difficulties. Eleven PSP and 12 PD participants enrolled, of whom 10 from each group had complete analyzable data. Demographics were well-matched (PSP mean age = 67.6 ± 1.3 years, 40% female; PD mean age = 70.3 ± 1.8 years, 40% female) while disease duration was significantly shorter in PSP (PSP 14 ± 3.5 months vs PD 87.9 ± 16.9 months). Gait parameters showed significant group differences with effect sizes ranging from d = 1.0 to 2.27. Gait speed was significantly slower in PSP: 0.45 ± 0.06 m/s vs. 0.79 ± 0.06 m/s in PD (d = 1.78, p < 0.001).
Conclusion:
Our study demonstrates the feasibility of measuring gait in PSP and PD remotely using wearable sensors. The study provides insight into digital biomarkers for both neurodegenerative diseases.
Trial Registration:
ClinicalTrials.gov Identifier: NCT04753320, first posted Febuary 15, 2021.
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