INTRODUCTION: Accelerometry-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. METHODS: In 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. RESULTS: From 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. CONCLUSIONS: The 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.Clinical trial registry number: CTRI/2018/09/015648.
CITATION STYLE
David, A., ReethaJanetSureka, S., Gayathri, S., Annamalai, S. J., Samuelkamleshkumar, S., Kuruvilla, A., … Balasubramanian, S. (2021). Quantification of the relative arm use in patients with hemiparesis using inertial measurement units. Journal of Rehabilitation and Assistive Technologies Engineering, 8, 205566832110196. https://doi.org/10.1177/20556683211019694
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