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Abstract Details

A Sensor-based Data Capture Solution for Home-based Gait Assessment: The GAIT-HUB System
Multiple Sclerosis
P6 - Poster Session 6 (8:00 AM-9:00 AM)
6-004

To validate a sensor-based system for conducting mobility assessments in home settings for people with multiple sclerosis (MS).
Gait deviations are common manifestations of MS. Currently, clinical mobility assessments predominantly rely on in-person observational evaluations. The "Gait Assessment with Innovative Technologies – Home Use Benefit" (GAIT-HUB) system utilizes off-the-shelf sensor technology to measure gait, offering more sensitive and accurate metrics than traditional clinical measures, with the potential to be used by patients at home.
In this ongoing validation study, individuals with MS were recruited and initially underwent a baseline in-person gait assessment. During the baseline evaluation, participants wore a gold-standard wearable tri-axial accelerometer on the lower back (G-sensor, BTS Bioengineering) and two commercially available shoelace sensors (Runscribe) simultaneously when completing a 2-minute walk test. Afterwards, participants, provided with the GAIT-HUB kit (iPad and shoelace sensors), conducted three weekly at-home assessments under live videoconference guidance. Each session involved a sensor-based 2-minute walk test. Gait velocity data from both in-clinic and at-home visits were compared to validate off-the-shelf sensors' accuracy and reliability for self-administered data capture.

We enrolled n=20 participants (46.5±10.8 years; 75% female; Median Patient Determined Disease Steps (PDDS) score: 3.0). 94.7% of the participants rated GAIT-HUB system’s usability as excellent, with System Usability Score exceeding 80. At baseline, we found a strong agreement between gait velocities assessed by the shoelace and the gold-standard sensor (interclass correlation coefficient (ICC) of 0.989; p<0.001). Reliability across three remote sessions was substantial, with  ICC=0.990 (p<0.001). When compared to in-clinic, participants showed a slower gait velocity in home setting (1.22±0.20 vs. 1.18±0.17 m/s, p<0.001), potentially reflecting variations in environments and assessment conditions.
The GAIT-HUB system demonstrates feasibility for home-based data capture, exhibiting strong consistency with in-clinic assessments and reliability across repeated measures. This study substantiates the possibility of utilizing wearable sensors for at-home gait assessments.
Authors/Disclosures
Timothy Ko (NYU Langone Health)
PRESENTER 		Timothy Ko has nothing to disclose.
Erica Kreisberg No disclosure on file
Luis Fernandez (NYU Grossman School of Medicine) No disclosure on file
Josef M. Gutman, MD (NYU Ambulatory Care Center East Meadow Neurology) Dr. Gutman has nothing to disclose.
Carrie Sammarco Carrie Sammarco has nothing to disclose.
Tyler E. Smith, MD Dr. Smith has received research support from National Multiple Sclerosis Society. Dr. Smith has received personal compensation in the range of $0-$499 for serving as a neurobytes author with 好色先生.
Leigh E. Charvet, PhD (NYU Langone) Dr. Charvet has received personal compensation in the range of $500-$4,999 for serving as a Consultant for Johnson & Johnson. Dr. Charvet has received personal compensation in the range of $500-$4,999 for serving as a Consultant for Springer Healthcare. Dr. Charvet has received personal compensation in the range of $10,000-$49,999 for serving as a Consultant for YBrain. Dr. Charvet has stock in Johnson&Johnson.
Giuseppina Pilloni, PhD (NYU Grossman School of Medicine) Dr. Pilloni has received personal compensation in the range of $10,000-$49,999 for serving as a Consultant for Ceragem.