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Article

Short Bouts of Gait Data and Body-Worn Inertial Sensors Can Provide Reliable Measures of Spatiotemporal Gait Parameters from Bilateral Gait Data for Persons with Multiple Sclerosis

1
CeADAR—Centre for Applied Data Analytics, University College Dublin, Dublin D04 V2N9, Ireland
2
Kinesis Health Technologies Ltd., Belfield Office Park, Clonskeagh, Dublin D04 V2N9, Ireland
3
School of Public Health, Physiotherapy and Sport Sciences, University College Dublin, Dublin D04 V1W8, Ireland
4
Insight Centre for Data Analytics, University College Dublin, Dublin D04 V1W8, Ireland
5
Department of Neurology, St. Vincent’s University Hospital, Dublin D04 T6F4, Ireland
*
Author to whom correspondence should be addressed.
Biosensors 2020, 10(9), 128; https://doi.org/10.3390/bios10090128
Received: 19 August 2020 / Revised: 11 September 2020 / Accepted: 17 September 2020 / Published: 20 September 2020
(This article belongs to the Special Issue Wearable Biosensors for Healthcare)
Wearable devices equipped with inertial sensors enable objective gait assessment for persons with multiple sclerosis (MS), with potential use in ambulatory care or home and community-based assessments. However, gait data collected in non-controlled settings are often fragmented and may not provide enough information for reliable measures. This paper evaluates a novel approach to (1) determine the effects of the length of the walking task on the reliability of calculated measures and (2) identify digital biomarkers for gait assessments from fragmented data. Thirty-seven participants (37) diagnosed with relapsing-remitting MS (EDSS range 0 to 4.5) executed two trials, walking 20 m each, with inertial sensors attached to their right and left shanks. Gait events were identified from the medio-lateral angular velocity, and short bouts of gait data were extracted from each trial, with lengths varying from 3 to 9 gait cycles. Intraclass correlation coefficients (ICCs) evaluate the degree of agreement between the two trials of each participant, according to the number of gait cycles included in the analysis. Results show that short bouts of gait data, including at least six gait cycles of bilateral data, can provide reliable gait measurements for persons with MS, opening new perspectives for gait assessment using fragmented data (e.g., wearable devices, community assessments). Stride time variability and asymmetry, as well as stride velocity variability and asymmetry, should be further explored as digital biomarkers to support the monitoring of symptoms of persons with neurological diseases. View Full-Text
Keywords: gait analysis; wearable; body-worn sensors; inertial sensors; gait variability; gait symmetry; reliability; walking; multiple sclerosis; short bouts of gait gait analysis; wearable; body-worn sensors; inertial sensors; gait variability; gait symmetry; reliability; walking; multiple sclerosis; short bouts of gait
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MDPI and ACS Style

Motti Ader, L.G.; Greene, B.R.; McManus, K.; Tubridy, N.; Caulfield, B. Short Bouts of Gait Data and Body-Worn Inertial Sensors Can Provide Reliable Measures of Spatiotemporal Gait Parameters from Bilateral Gait Data for Persons with Multiple Sclerosis. Biosensors 2020, 10, 128. https://doi.org/10.3390/bios10090128

AMA Style

Motti Ader LG, Greene BR, McManus K, Tubridy N, Caulfield B. Short Bouts of Gait Data and Body-Worn Inertial Sensors Can Provide Reliable Measures of Spatiotemporal Gait Parameters from Bilateral Gait Data for Persons with Multiple Sclerosis. Biosensors. 2020; 10(9):128. https://doi.org/10.3390/bios10090128

Chicago/Turabian Style

Motti Ader, Lilian G., Barry R. Greene, Killian McManus, Niall Tubridy, and Brian Caulfield. 2020. "Short Bouts of Gait Data and Body-Worn Inertial Sensors Can Provide Reliable Measures of Spatiotemporal Gait Parameters from Bilateral Gait Data for Persons with Multiple Sclerosis" Biosensors 10, no. 9: 128. https://doi.org/10.3390/bios10090128

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