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Feasibility and Validity of Wearable Sensors for Monitoring Temporal Parameters in Manual Wheelchair Propulsion.
- Source :
-
IEEE journal of biomedical and health informatics [IEEE J Biomed Health Inform] 2024 Sep; Vol. 28 (9), pp. 5239-5246. Date of Electronic Publication: 2024 Sep 05. - Publication Year :
- 2024
-
Abstract
- Upper extremity pain and injury are among the most common musculoskeletal complications manual wheelchair users face. Assessing the temporal parameters of manual wheelchair propulsion, such as propulsion duration, cadence, push duration, and recovery duration, is essential for providing a deep insight into the mobility, level of activity, energy expenditure, and cumulative exposure to repetitive tasks and thus providing personalized feedback. The purpose of this paper is to investigate the use of inertial measurement units (IMUs) to estimate these temporal parameters by identifying the start and end time of hand contact with the push-rim during each propulsion cycle. We presented a model based on data collected from 23 participants (14 males and 9 females, including 9 experienced manual wheelchair users) to guarantee the reliability and generalizability of our method. The obtained outcomes from our IMU-based model were then compared against an instrumented wheelchair (SMARTWheel) as a reference criterion. The results illustrated that our model was able to accurately detect hand contact and hand release and predict temporal parameters, including the push duration and recovery duration in manual wheelchair users, with the mean error ± standard deviation of 10 ± 60 milliseconds and -20 ± 80 milliseconds, respectively. The findings of this study demonstrate the potential of hand-mounted IMUs as a reliable and objective tool for analyzing temporal parameters in manual wheelchair propulsion. IMUs offer significant strides towards inclusivity and accessibility due to their portability and user-friendliness and can democratize health monitoring of manual wheelchair users by making it accessible to a broader range of users compared to traditional technologies.
- Subjects :
- Humans
Female
Male
Adult
Young Adult
Signal Processing, Computer-Assisted
Biomechanical Phenomena physiology
Reproducibility of Results
Middle Aged
Feasibility Studies
Accelerometry methods
Accelerometry instrumentation
Monitoring, Ambulatory methods
Monitoring, Ambulatory instrumentation
Wheelchairs
Wearable Electronic Devices
Subjects
Details
- Language :
- English
- ISSN :
- 2168-2208
- Volume :
- 28
- Issue :
- 9
- Database :
- MEDLINE
- Journal :
- IEEE journal of biomedical and health informatics
- Publication Type :
- Academic Journal
- Accession number :
- 38814765
- Full Text :
- https://doi.org/10.1109/JBHI.2024.3407525