A Gesture-Controlled Rehabilitation Robot to Improve Engagement and Quantify Movement Performance
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Authors
Segal, Ava D.
Lesak, Mark C.
Silverman, Anne K.
Petruska, Andrew J.
Issue Date
2020-07-31
Type
journal-article
Language
Keywords
Gesture control , Movement performance , Feedback , Telerehabilitation , Game therapy , Motor learning , Wearable sensors
Alternative Title
Abstract
Rehabilitation requires repetitive and coordinated movements for effective treatment, which are contingent on patient compliance and motivation. However, the monotony, intensity, and expense of most therapy routines do not promote engagement. Gesture-controlled rehabilitation has the potential to quantify performance and provide engaging, cost-effective treatment, leading to better compliance and mobility. We present the design and testing of a gesture-controlled rehabilitation robot (GC-Rebot) to assess its potential for monitoring user performance and providing entertainment while conducting physical therapy. Healthy participants (n = 11) completed a maze with GC-Rebot for six trials. User performance was evaluated through quantitative metrics of movement quality and quantity, and participants rated the system usability with a validated survey. For participants with self-reported video-game experience (n = 10), wrist active range of motion across trials (mean ± standard deviation) was 41.6 ± 13° and 76.8 ± 16° for pitch and roll, respectively. In the course of conducting a single trial with a time duration of 68.3 ± 19 s, these participants performed 27 ± 8 full wrist motion repetitions (i.e., flexion/extension), with a dose-rate of 24.2 ± 5 reps/min. These participants also rated system usability as excellent (score: 86.3 ± 12). Gesture-controlled therapy using the GC-Rebot demonstrated the potential to be an evidence-based rehabilitation tool based on excellent user ratings and the ability to monitor at-home compliance and performance.
Description
Citation
Segal, Ava D., Mark C. Lesak, Anne K. Silverman, and Andrew J. Petruska. 2020. "A Gesture-Controlled Rehabilitation Robot to Improve Engagement and Quantify Movement Performance" Sensors 20, no. 15: 4269. https://doi.org/10.3390/s20154269
Publisher
MDPI AG
License
Journal
Volume
Issue
PubMed ID
ISSN
1424-8220