ArticleJournal of rehabilitation and assistive technologies engineering
Quantification of the relative arm use in patients with hemiparesis using inertial measurement units.
Article in Journal of rehabilitation and assistive technologies engineering. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.
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Who cites it
12 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Continuous Movement Monitoring at Home Through Wearable Devices: A Systematic Review.Sensors (Basel, Switzerland) · 2025Pooled it
- Quantification of Movement in Stroke Patients under Free Living Conditions Using Wearable Sensors: A Systematic Review.Sensors (Basel, Switzerland) · 2022Pooled it
- Digital biomarkers derived from wearable sensors in neurorehabilitation: a scoping review.Frontiers in neurology · 2026Article
- The association of upper limb sensorimotor capacity, everyday inpatient behavior, and the effects of neurorehabilitation in persons with multiple sclerosis and stroke: a mixed-design study.Journal of neuroengineering and rehabilitation · 2025Article
- Trends and Innovations in Wearable Technology for Motor Rehabilitation, Prediction, and Monitoring: A Comprehensive Review.Sensors (Basel, Switzerland) · 2024Review
- Wearable Sensor to Monitor Quality of Upper Limb Task Practice for Stroke Survivors at Home.Sensors (Basel, Switzerland) · 2024Article
- Movement Diversity and Complexity Increase as Arm Impairment Decreases After Stroke: Quality of Movement Experience as a Possible Target for Wearable Feedback.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2024Article
- Going beyond PA: Assessing sensorimotor capacity with wearables in multiple sclerosis-a cross-sectional study.Journal of neuroengineering and rehabilitation · 2023Article
- Kinematic analysis of activities of daily living performance in frail elderly.BMC geriatrics · 2022Article
- Comparing algorithms for assessing upper limb use with inertial measurement units.Frontiers in physiology · 2022Article
- Classification of functional and non-functional arm use by inertial measurement units in individuals with upper limb impairment after stroke.Frontiers in physiology · 2022Article
- A Framework for Sensor-Based Assessment of Upper-Limb Functioning in Hemiparesis.Frontiers in human neuroscience · 2021Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionAccelerometry-based activity counting for measuring arm use is prone to overestimation due to non-functional movements. In this paper, we used an inertial measurement unit (IMU)-based gross movement (GM) score to quantify arm use.
methodsIn this two-part study, we first characterized the GM by comparing it to annotated video recordings of 5 hemiparetic patients and 10 control subjects performing a set of activities. In the second part, we tracked the arm use of 5 patients and 5 controls using two wrist-worn IMUs for 7 and 3 days, respectively. The IMU data was used to develop quantitative measures (total and relative arm use) and a visualization method for arm use.
resultsFrom the characterization study, we found that GM detects functional activities with 50-60% accuracy and eliminates non-functional activities with >90% accuracy. Continuous monitoring of arm use showed that the arm use was biased towards the dominant limb and less paretic limb for controls and patients, respectively.
conclusionsThe gross movement score has good specificity but low sensitivity in identifying functional activity. The at-home study showed that it is feasible to use two IMU-watches to monitor relative arm use and provided design considerations for improving the assessment method.
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