Towards a Mobile Gait Analysis for Patients with a Spinal Cord Injury: A Robust Algorithm Validated for Slow Walking Speeds

Spinal cord injury (SCI) patients suffer from diverse gait deficits depending on the severity of their injury. Gait assessments can objectively track the progress during rehabilitation and support clinical decision making, but a comprehensive gait analysis requires far more complex setups and time-c...

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Autores principales:	Charlotte Werner, Chris Awai Easthope, Armin Curt, László Demkó
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	gait analysis inertial sensors IMU spinal cord injury rehabilitation clinical assessment Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/34bd6e00a6e649e79f75336aea72b039
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id	oai:doaj.org-article:34bd6e00a6e649e79f75336aea72b039
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spelling	oai:doaj.org-article:34bd6e00a6e649e79f75336aea72b0392021-11-11T19:18:51ZTowards a Mobile Gait Analysis for Patients with a Spinal Cord Injury: A Robust Algorithm Validated for Slow Walking Speeds10.3390/s212173811424-8220https://doaj.org/article/34bd6e00a6e649e79f75336aea72b0392021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/7381https://doaj.org/toc/1424-8220Spinal cord injury (SCI) patients suffer from diverse gait deficits depending on the severity of their injury. Gait assessments can objectively track the progress during rehabilitation and support clinical decision making, but a comprehensive gait analysis requires far more complex setups and time-consuming protocols that are not feasible in the daily clinical routine. As using inertial sensors for mobile gait analysis has started to gain ground, this work aimed to develop a sensor-based gait analysis for the specific population of SCI patients that measures the spatio-temporal parameters of typical gait laboratories for day-to-day clinical applications. The proposed algorithm uses shank-mounted inertial sensors and personalized thresholds to detect steps and gait events according to the individual gait profiles. The method was validated in nine SCI patients and 17 healthy controls walking on an instrumented treadmill while wearing reflective markers for motion capture used as a gold standard. The sensor-based algorithm (i) performed similarly well for the two cohorts and (ii) is robust enough to cover the diverse gait deficits of SCI patients, from slow (0.3 m/s) to preferred walking speeds.Charlotte WernerChris Awai EasthopeArmin CurtLászló DemkóMDPI AGarticlegait analysisinertial sensorsIMUspinal cord injuryrehabilitationclinical assessmentChemical technologyTP1-1185ENSensors, Vol 21, Iss 7381, p 7381 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	gait analysis inertial sensors IMU spinal cord injury rehabilitation clinical assessment Chemical technology TP1-1185
spellingShingle	gait analysis inertial sensors IMU spinal cord injury rehabilitation clinical assessment Chemical technology TP1-1185 Charlotte Werner Chris Awai Easthope Armin Curt László Demkó Towards a Mobile Gait Analysis for Patients with a Spinal Cord Injury: A Robust Algorithm Validated for Slow Walking Speeds
description	Spinal cord injury (SCI) patients suffer from diverse gait deficits depending on the severity of their injury. Gait assessments can objectively track the progress during rehabilitation and support clinical decision making, but a comprehensive gait analysis requires far more complex setups and time-consuming protocols that are not feasible in the daily clinical routine. As using inertial sensors for mobile gait analysis has started to gain ground, this work aimed to develop a sensor-based gait analysis for the specific population of SCI patients that measures the spatio-temporal parameters of typical gait laboratories for day-to-day clinical applications. The proposed algorithm uses shank-mounted inertial sensors and personalized thresholds to detect steps and gait events according to the individual gait profiles. The method was validated in nine SCI patients and 17 healthy controls walking on an instrumented treadmill while wearing reflective markers for motion capture used as a gold standard. The sensor-based algorithm (i) performed similarly well for the two cohorts and (ii) is robust enough to cover the diverse gait deficits of SCI patients, from slow (0.3 m/s) to preferred walking speeds.
format	article
author	Charlotte Werner Chris Awai Easthope Armin Curt László Demkó
author_facet	Charlotte Werner Chris Awai Easthope Armin Curt László Demkó
author_sort	Charlotte Werner
title	Towards a Mobile Gait Analysis for Patients with a Spinal Cord Injury: A Robust Algorithm Validated for Slow Walking Speeds
title_short	Towards a Mobile Gait Analysis for Patients with a Spinal Cord Injury: A Robust Algorithm Validated for Slow Walking Speeds
title_full	Towards a Mobile Gait Analysis for Patients with a Spinal Cord Injury: A Robust Algorithm Validated for Slow Walking Speeds
title_fullStr	Towards a Mobile Gait Analysis for Patients with a Spinal Cord Injury: A Robust Algorithm Validated for Slow Walking Speeds
title_full_unstemmed	Towards a Mobile Gait Analysis for Patients with a Spinal Cord Injury: A Robust Algorithm Validated for Slow Walking Speeds
title_sort	towards a mobile gait analysis for patients with a spinal cord injury: a robust algorithm validated for slow walking speeds
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/34bd6e00a6e649e79f75336aea72b039
work_keys_str_mv	AT charlottewerner towardsamobilegaitanalysisforpatientswithaspinalcordinjuryarobustalgorithmvalidatedforslowwalkingspeeds AT chrisawaieasthope towardsamobilegaitanalysisforpatientswithaspinalcordinjuryarobustalgorithmvalidatedforslowwalkingspeeds AT armincurt towardsamobilegaitanalysisforpatientswithaspinalcordinjuryarobustalgorithmvalidatedforslowwalkingspeeds AT laszlodemko towardsamobilegaitanalysisforpatientswithaspinalcordinjuryarobustalgorithmvalidatedforslowwalkingspeeds
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Towards a Mobile Gait Analysis for Patients with a Spinal Cord Injury: A Robust Algorithm Validated for Slow Walking Speeds

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