At-Home Gait Assessment

NYU Langone Health

Status: Completed

Conditions: Multiple Sclerosis

Study type: Observational

Funder types: Other; Other U.S. Federal agency

Identifiers

NCT05724901

22-00375

Details and patient eligibility

About

The goal of this study is to validate an MS Gait Remote Capture and Analysis (MS-GRCA) system based on wearable shoe-based motion sensors for home-based and repeatable gait assessments.

Full description

This is a single-site observational longitudinal study to validate an MS Gait Remote Capture and Analysis system for home-based and repeatable gait assessments. The investigators will recruit 30 participants who will have an in-person baseline visit (informed consent, standard gait assessment, sensor-based gait assessment, self-reported questionnaires), followed by three remote visits (sensor-based gait assessment, SUS questionnaire [last remote visit only]).

Enrollment: 30 patients

Sex: All

Ages: 18 to 70 years old

Volunteers: Accepts Healthy Volunteers

Inclusion criteria

• Ages 18-70 years old (inclusive)
• Confirmed diagnosis of MS (any MS subtypes, Relapsing Remitting [RR], Primary Progressive [PP], or Secondary Progressive [SP])
• PDSS score from 0 to 5
• Stable and continuous access to internet at home
• Adequate home facilities (enough space, quiet and distraction free area)
• Ability to provide informed consent.

Exclusion criteria

• Below average estimated premorbid cognitive functioning (based on WRAT-4 reading recognition standard z-score < 85).
• Presence of severe cognitive impairment (based on SDMT age normative z-score < -3.0).
• Presence of primary neurological disorders other than MS or primary psychiatric disorder that would influence ability to complete assessments.

Trial design

30 participants in 1 patient group

Adults with MS

Description:

Participants will complete an in-clinic visit (self-reported outcome of MS disability, a standard walking clinical evaluation, and a sensor-based gait evaluation) and 3 remote supervised self-administered gait assessments using the MS-GRCA system.