The use of accelerometer bracelets to evaluate arm motor function over a stroke rehabilitation period – an explorative observational study
(2024) In Journal of NeuroEngineering and Rehabilitation 21(1).- Abstract
Background: Assessments of arm motor function are usually based on clinical examinations or self-reported rating scales. Wrist-worn accelerometers can be a good complement to measure movement patterns after stroke. Currently there is limited knowledge of how accelerometry correlate to clinically used scales. The purpose of this study was therefore to evaluate the relationship between intermittent measurements of wrist-worn accelerometers and the patient’s progression of arm motor function assessed by routine clinical outcome measures during a rehabilitation period. Methods: Patients enrolled in in-hospital rehabilitation following a stroke were invited. Included patients were asked to wear wrist accelerometers for 24 h at the start (T1)... (More)
Background: Assessments of arm motor function are usually based on clinical examinations or self-reported rating scales. Wrist-worn accelerometers can be a good complement to measure movement patterns after stroke. Currently there is limited knowledge of how accelerometry correlate to clinically used scales. The purpose of this study was therefore to evaluate the relationship between intermittent measurements of wrist-worn accelerometers and the patient’s progression of arm motor function assessed by routine clinical outcome measures during a rehabilitation period. Methods: Patients enrolled in in-hospital rehabilitation following a stroke were invited. Included patients were asked to wear wrist accelerometers for 24 h at the start (T1) and end (T2) of their rehabilitation period. On both occasions arm motor function was assessed by the modified Motor Assessment Scale (M_MAS) and the Motor Activity Log (MAL). The recorded accelerometry was compared to M_MAS and MAL. Results: 20 patients were included, of which 18 completed all measurements and were therefore included in the final analysis. The resulting Spearman’s rank correlation coefficient showed a strong positive correlation between measured wrist acceleration in the affected arm and M-MAS and MAL values at T1, 0.94 (p < 0.05) for M_MAS and 0.74 (p < 0.05) for the MAL values, and a slightly weaker positive correlation at T2, 0.57 (p < 0.05) for M_MAS and 0.46 − 0.45 (p = 0.06) for the MAL values. However, no correlation was seen for the difference between the two sessions. Conclusions: The results confirm that the wrist acceleration can differentiate between the affected and non-affected arm, and that there is a positive correlation between accelerometry and clinical measures. Many of the patients did not change their M-MAS or MAL scores during the rehabilitation period, which may explain why no correlation was seen for the difference between measurements during the rehabilitation period. Further studies should include continuous accelerometry throughout the rehabilitation period to reduce the impact of day-to-day variability.
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- author
- Finn, Eric Lyckegård
; Carlsson, Håkan
; Ericson, Petter
; Åström, Kalle
LU
; Brogårdh, Christina LU and Wasselius, Johan LU
- organization
-
- Computer Vision and Machine Learning (research group)
- LU Profile Area: Nature-based future solutions
- LU Profile Area: Light and Materials
- LU Profile Area: Proactive Ageing
- LU Profile Area: Natural and Artificial Cognition
- LTH Profile Area: AI and Digitalization
- LTH Profile Area: Engineering Health
- Stroke Imaging Research group (research group)
- ELLIIT: the Linköping-Lund initiative on IT and mobile communication
- eSSENCE: The e-Science Collaboration
- Mathematical Imaging Group (research group)
- LUCC: Lund University Cancer Centre
- Rehabilitation and Sustainable Health (research group)
- Neuroradiology (research group)
- Diagnostic Radiology, (Lund)
- publishing date
- 2024-12
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Accelerometry, Arm motor activity, Sensors, Stroke rehabilitation, The modified motor assessment scale, The motor activity log, Wrist-worn accelerometers
- in
- Journal of NeuroEngineering and Rehabilitation
- volume
- 21
- issue
- 1
- article number
- 82
- publisher
- BioMed Central (BMC)
- external identifiers
-
- pmid:38769565
- scopus:85193715094
- ISSN
- 1743-0003
- DOI
- 10.1186/s12984-024-01381-2
- language
- English
- LU publication?
- yes
- id
- f6aa7031-cf74-4404-8ffe-4942f0e134d7
- date added to LUP
- 2024-06-04 14:38:04
- date last changed
- 2024-06-18 15:23:10
@article{f6aa7031-cf74-4404-8ffe-4942f0e134d7, abstract = {{<p>Background: Assessments of arm motor function are usually based on clinical examinations or self-reported rating scales. Wrist-worn accelerometers can be a good complement to measure movement patterns after stroke. Currently there is limited knowledge of how accelerometry correlate to clinically used scales. The purpose of this study was therefore to evaluate the relationship between intermittent measurements of wrist-worn accelerometers and the patient’s progression of arm motor function assessed by routine clinical outcome measures during a rehabilitation period. Methods: Patients enrolled in in-hospital rehabilitation following a stroke were invited. Included patients were asked to wear wrist accelerometers for 24 h at the start (T1) and end (T2) of their rehabilitation period. On both occasions arm motor function was assessed by the modified Motor Assessment Scale (M_MAS) and the Motor Activity Log (MAL). The recorded accelerometry was compared to M_MAS and MAL. Results: 20 patients were included, of which 18 completed all measurements and were therefore included in the final analysis. The resulting Spearman’s rank correlation coefficient showed a strong positive correlation between measured wrist acceleration in the affected arm and M-MAS and MAL values at T1, 0.94 (p < 0.05) for M_MAS and 0.74 (p < 0.05) for the MAL values, and a slightly weaker positive correlation at T2, 0.57 (p < 0.05) for M_MAS and 0.46 − 0.45 (p = 0.06) for the MAL values. However, no correlation was seen for the difference between the two sessions. Conclusions: The results confirm that the wrist acceleration can differentiate between the affected and non-affected arm, and that there is a positive correlation between accelerometry and clinical measures. Many of the patients did not change their M-MAS or MAL scores during the rehabilitation period, which may explain why no correlation was seen for the difference between measurements during the rehabilitation period. Further studies should include continuous accelerometry throughout the rehabilitation period to reduce the impact of day-to-day variability.</p>}}, author = {{Finn, Eric Lyckegård and Carlsson, Håkan and Ericson, Petter and Åström, Kalle and Brogårdh, Christina and Wasselius, Johan}}, issn = {{1743-0003}}, keywords = {{Accelerometry; Arm motor activity; Sensors; Stroke rehabilitation; The modified motor assessment scale; The motor activity log; Wrist-worn accelerometers}}, language = {{eng}}, number = {{1}}, publisher = {{BioMed Central (BMC)}}, series = {{Journal of NeuroEngineering and Rehabilitation}}, title = {{The use of accelerometer bracelets to evaluate arm motor function over a stroke rehabilitation period – an explorative observational study}}, url = {{http://dx.doi.org/10.1186/s12984-024-01381-2}}, doi = {{10.1186/s12984-024-01381-2}}, volume = {{21}}, year = {{2024}}, }