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...
Guardado en:
Autores principales: | , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
De Gruyter
2020
|
Materias: | |
Acceso en línea: | https://doaj.org/article/3d7b3411595b4642bbc1b35c8247abe7 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:3d7b3411595b4642bbc1b35c8247abe7 |
---|---|
record_format |
dspace |
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 |
_version_ |
1718371835641331712 |