4.1 Article

Score rectification for online assessments in robot-assisted arm rehabilitation

期刊

AT-AUTOMATISIERUNGSTECHNIK
卷 70, 期 11, 页码 935-945

出版社

WALTER DE GRUYTER GMBH
DOI: 10.1515/auto-2022-0113

关键词

assistance as needed; exoskeleton; rehabilitation; robotic assessments; Unterstutzung nach Bedarf; Exoskelette; Rehabilitation; robotische Metriken

资金

  1. Innosuisse, the Swiss Innovation Agency [33759.1 IP-LS]

向作者/读者索取更多资源

The study presents a method to achieve context-independent neuro-rehabilitation assessment through functional orthogonalization. Experiments conducted on robots showed a significant reduction in standard deviation.
Relative comparison of clinical scores to measure the effectiveness of neuro-rehabilitation therapy is possible through a series of discrete measurements during the rehabilitation period within specifically designed task environments. Robots allow quantitative, continuous measurement of data. Resulting robotic scores are also only comparable within similar context, e.g. type of task. We propose a method to decouple these scores from their respective context through functional orthogonalization and compensation of the compounding factors based on a data-driven sensitivity analysis of the user performance. The method was validated for the established accuracy score with variable arm weight support, provoked muscle fatigue and different task directions on 6 participants of our arm exoskeleton group on the ANYexo robot. In the best case, the standard deviation of the assessed score in changing context could be reduced by a factor of 3.2. Therewith, we paved the way to context-independent, quantitative online assessments, recorded autonomously with robots.

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