Wearable motion sensors and digital biomarkers in stroke rehabilitation

We propose three novel digital biomarkers for the longitudinal performance monitoring and movement evaluation of hemiparetic patients, e.g. after stroke. We devised convergence points (CP) for the bilateral walking analysis based on gait parameters, e.g. stride duration using regression- modelling t...

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Autores principales: Derungs Adrian, Schuster-Amft Corina, Amft Oliver
Formato: article
Lenguaje:EN
Publicado: De Gruyter 2020
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Acceso en línea:https://doaj.org/article/3d7b3411595b4642bbc1b35c8247abe7
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spelling oai:doaj.org-article:3d7b3411595b4642bbc1b35c8247abe72021-12-05T14:10:42ZWearable motion sensors and digital biomarkers in stroke rehabilitation2364-550410.1515/cdbme-2020-3058https://doaj.org/article/3d7b3411595b4642bbc1b35c8247abe72020-09-01T00:00:00Zhttps://doi.org/10.1515/cdbme-2020-3058https://doaj.org/toc/2364-5504We propose three novel digital biomarkers for the longitudinal performance monitoring and movement evaluation of hemiparetic patients, e.g. after stroke. We devised convergence points (CP) for the bilateral walking analysis based on gait parameters, e.g. stride duration using regression- modelling to estimate similarity between body sides. The physical activity (PA) was devised to evaluate the energy expenditure of all extremities during training and free-living. The functional range of motion (fROM) is a digital biomarker to quantify the upper arm reaching ability, represented in 3D visualisations. In this work, we detail CP, PA, and fROM to derive rehabilitation insights for personalising therapies. We evaluated the proposed digital biomarkers in a clinical observation study with 11 patients after stroke during their rehabilitation including therapy and self-paced daily routines.Derungs AdrianSchuster-Amft CorinaAmft OliverDe Gruyterarticleinertial measurement unitstrokehemiparesisgait parametergait analysisdigital twinfree-living.MedicineRENCurrent Directions in Biomedical Engineering, Vol 6, Iss 3, Pp 229-232 (2020)
institution DOAJ
collection DOAJ
language EN
topic inertial measurement unit
stroke
hemiparesis
gait parameter
gait analysis
digital twin
free-living.
Medicine
R
spellingShingle inertial measurement unit
stroke
hemiparesis
gait parameter
gait analysis
digital twin
free-living.
Medicine
R
Derungs Adrian
Schuster-Amft Corina
Amft Oliver
Wearable motion sensors and digital biomarkers in stroke rehabilitation
description We propose three novel digital biomarkers for the longitudinal performance monitoring and movement evaluation of hemiparetic patients, e.g. after stroke. We devised convergence points (CP) for the bilateral walking analysis based on gait parameters, e.g. stride duration using regression- modelling to estimate similarity between body sides. The physical activity (PA) was devised to evaluate the energy expenditure of all extremities during training and free-living. The functional range of motion (fROM) is a digital biomarker to quantify the upper arm reaching ability, represented in 3D visualisations. In this work, we detail CP, PA, and fROM to derive rehabilitation insights for personalising therapies. We evaluated the proposed digital biomarkers in a clinical observation study with 11 patients after stroke during their rehabilitation including therapy and self-paced daily routines.
format article
author Derungs Adrian
Schuster-Amft Corina
Amft Oliver
author_facet Derungs Adrian
Schuster-Amft Corina
Amft Oliver
author_sort Derungs Adrian
title Wearable motion sensors and digital biomarkers in stroke rehabilitation
title_short Wearable motion sensors and digital biomarkers in stroke rehabilitation
title_full Wearable motion sensors and digital biomarkers in stroke rehabilitation
title_fullStr Wearable motion sensors and digital biomarkers in stroke rehabilitation
title_full_unstemmed Wearable motion sensors and digital biomarkers in stroke rehabilitation
title_sort wearable motion sensors and digital biomarkers in stroke rehabilitation
publisher De Gruyter
publishDate 2020
url https://doaj.org/article/3d7b3411595b4642bbc1b35c8247abe7
work_keys_str_mv AT derungsadrian wearablemotionsensorsanddigitalbiomarkersinstrokerehabilitation
AT schusteramftcorina wearablemotionsensorsanddigitalbiomarkersinstrokerehabilitation
AT amftoliver wearablemotionsensorsanddigitalbiomarkersinstrokerehabilitation
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