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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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De Gruyter
2020-09-01
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| Series: | Current Directions in Biomedical Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/cdbme-2020-3058 |
| _version_ | 1818719051892916224 |
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| author | Derungs Adrian Schuster-Amft Corina Amft Oliver |
| author_facet | Derungs Adrian Schuster-Amft Corina Amft Oliver |
| author_sort | Derungs Adrian |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-17T20:00:48Z |
| format | Article |
| id | doaj.art-3d7b3411595b4642bbc1b35c8247abe7 |
| institution | Directory Open Access Journal |
| issn | 2364-5504 |
| language | English |
| last_indexed | 2024-12-17T20:00:48Z |
| publishDate | 2020-09-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Current Directions in Biomedical Engineering |
| spelling | doaj.art-3d7b3411595b4642bbc1b35c8247abe72022-12-21T21:34:29ZengDe GruyterCurrent Directions in Biomedical Engineering2364-55042020-09-016322923210.1515/cdbme-2020-3058cdbme-2020-3058Wearable motion sensors and digital biomarkers in stroke rehabilitationDerungs Adrian0Schuster-Amft Corina1Amft Oliver2Chair of Digital Health, Friedrich-Alexander University, Erlangen-Nürnberg, Henkestr. 91, 91052Erlangen, GermanyResearch Department, Reha Rheinfelden,Rheinfelden, SwitzerlandChair of Digital Health, Friedrich-Alexander University, Erlangen-Nürnberg,Erlangen, GermanyWe 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.https://doi.org/10.1515/cdbme-2020-3058inertial measurement unitstrokehemiparesisgait parametergait analysisdigital twinfree-living. |
| spellingShingle | Derungs Adrian Schuster-Amft Corina Amft Oliver Wearable motion sensors and digital biomarkers in stroke rehabilitation Current Directions in Biomedical Engineering inertial measurement unit stroke hemiparesis gait parameter gait analysis digital twin free-living. |
| title | 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_short | Wearable motion sensors and digital biomarkers in stroke rehabilitation |
| title_sort | wearable motion sensors and digital biomarkers in stroke rehabilitation |
| topic | inertial measurement unit stroke hemiparesis gait parameter gait analysis digital twin free-living. |
| url | https://doi.org/10.1515/cdbme-2020-3058 |
| work_keys_str_mv | AT derungsadrian wearablemotionsensorsanddigitalbiomarkersinstrokerehabilitation AT schusteramftcorina wearablemotionsensorsanddigitalbiomarkersinstrokerehabilitation AT amftoliver wearablemotionsensorsanddigitalbiomarkersinstrokerehabilitation |