Wearable motion sensors and digital biomarkers in stroke rehabilitation
Open accessAbstract
Abstract 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.
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Other included studies monitored participants in an outpatient home environment.
“Other studies monitored participants in an outpatient home environment [63].”
From Wearable sensors and machine learning in post-stroke rehabilitation assessment: A systematic review (2022) · cites this paper as [63]
Sections 4.1 and 4.2 describe monitoring outpatients during therapy and freely chosen daily routines at a rehabilitation day-care centre. They do not establish that monitoring took place in participants’ homes; Section 6 describes monitoring after discharge as a future application. (LLM, conf=0.88)
Experimental — accuracy not yet measuredDerungs extracted digital biomarkers consisting of convergence points, physical activity, and functional range of motion to investigate the affected and less-affected body side.
“In [63] Derungs extracted digital biomarkers consisting of convergence points physical activity and functional ROM to investigate the affected and less-affected body side.”
From Wearable sensors and machine learning in post-stroke rehabilitation assessment: A systematic review (2022) · cites this paper as [63]
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Cites
A review of wearable sensors and systems with application in rehabilitation
Patel, S., Park, H., Bonato, P., Chan, L., & Rodgers, M. (2012) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-9-21 · Cited by 2,396 · see citing works
Digital biomarkers for Alzheimer’s disease: the mobile/wearable devices opportunity
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Developing and adopting safe and effective digital biomarkers to improve patient outcomes
Coravos, A., Khozin, S., & Mandl, K. D. (2019) · npj Digital Medicine · doi:10.1038/s41746-019-0090-4 · Cited by 361 · see citing works
Digital health and digital biomarkers – enabling value chains on health data
Meister, S., Deiters, W., & Becker, S. (2016) · Current Directions in Biomedical Engineering · doi:10.1515/cdbme-2016-0128 · Cited by 51 · see citing works
Derungs, A., Schuster‐Amft, C., & Amft, O. (2018) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2018.00057 · Cited by 14 · see citing works
Self-citationDerungs, A., Schuster‐Amft, C., & Amft, O. (2018) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2018.00136 · Cited by 12 · see citing works
Self-citationEstimating physical ability of stroke patients without specific tests
Derungs, A., Seiter, J., Schuster‐Amft, C., & Amft, O. (2015) · Proceedings · doi:10.1145/2802083.2808412 · Cited by 8 · see citing works
Self-citationAccuracy-coverage tradeoff of nocturnal vital sign estimation in smart beds
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Self-citationDerungs, A., Schuster‐Amft, C., & Amft, O. (2018) · IEEE International Conference on Wearable and Implantable Body Sensor Networks (BSN) · doi:10.1109/bsn.2018.8329648 · Cited by 3 · see citing works
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Research works printed but not linked: 1
- Derungs, A., Seiter, S., Schuster-Amft, C., Amft, O., Es- timating physical ability of stroke patients without speci- fic tests, Proceedings of the 2015 ACM International Symposium on Wearable Computers (ISWC '15).
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Wearable sensors and machine learning in post-stroke rehabilitation assessment: A systematic review
Boukhennoufa, I., Zhai, X., Utti, V., Jackson, J., & McDonald-Maier, K. D. (2022) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2021.103197 · Cited by 180 · see citing works
“The US, is the country with most publications with thirteen papers [46,47,49,52,54,58, 64–67,69,70,73] followed by china with four papers [41,51,53,68], three papers for South Korea [45,61,74] and Italy [55–57], two papers for the UK [50,71] and Thailand [59,60] and finally a single study for France [42], India [43],…”
BackgroundResultInfluential
- Authors
- Derungs, A., Schuster-Amft, C., & Amft, O.
- Affiliations
- Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
- Research Department, Reha Rheinfelden, Rheinfelden , Switzerland
- Venue
- Current Directions in Biomedical Engineering
- Publisher
- Walter de Gruyter GmbH
- Published
- 2020-09-01
- Volume
- 6
- Issue
- 3
- Pages
- 229-232
- ISSN
- 2364-5504 (ISSN-L)
- OpenAlex
- W3132717321
- Cited by
- 15
- References
- 9
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 1 · 2023: 5 · 2022: 3 · 2021: 3
- FWCI
- 1.53
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- Current Directions in Biomedical Engineering (publishedVersion, cc-by)
- OPUS FAU (Kooperativer Bibliotheksverbund Berlin-Brandenburg (KOBV), on behalf of the Universitätsbibliothek Erlangen-Nürnberg) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Physical Sciences › Engineering › Biomedical Engineering › Prosthetics and Rehabilitation Robotics
- Keywords
- digital biomarkers, stroke rehabilitation, wearable motion sensors, hemiparesis, convergence point, gait analysis, physical activity, energy expenditure, functional range of motion, personalized treatment
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