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Artificially Intelligent Physiotherapy

Artificially Intelligent Physiotherapy

Sachin Pandurang Godse, Shalini Singh, Sonal Khule, Shubham Chandrakant Wakhare, Vedant Yadav
Copyright: © 2021 |Volume: 10 |Issue: 1 |Pages: 12
ISSN: 2161-1610|EISSN: 2161-1629|EISBN13: 9781799862727|DOI: 10.4018/IJBCE.2021010106
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MLA

Godse, Sachin Pandurang, et al. "Artificially Intelligent Physiotherapy." IJBCE vol.10, no.1 2021: pp.77-88. http://doi.org/10.4018/IJBCE.2021010106

APA

Godse, S. P., Singh, S., Khule, S., Wakhare, S. C., & Yadav, V. (2021). Artificially Intelligent Physiotherapy. International Journal of Biomedical and Clinical Engineering (IJBCE), 10(1), 77-88. http://doi.org/10.4018/IJBCE.2021010106

Chicago

Godse, Sachin Pandurang, et al. "Artificially Intelligent Physiotherapy," International Journal of Biomedical and Clinical Engineering (IJBCE) 10, no.1: 77-88. http://doi.org/10.4018/IJBCE.2021010106

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Abstract

Physiotherapy is the trending medication for curing bone-related injuries and pain. In many cases, due to sudden jerks or accidents, the patient might suffer from severe pain. Therefore, it is the miracle medication for curing patients. The aim here is to build a framework using artificial intelligence and machine learning for providing patients with a digitalized system for physiotherapy. Even though various computer-aided assessment of physiotherapy rehabilitation exist, recent approaches for computer-aided monitoring and performance lack versatility and robustness. In the authors' approach is to come up with proposition of an application which will record patient physiotherapy exercises and also provide personalized advice based on user performance for refinement of therapy. By using OpenPose Library, the system will detect angle between the joints, and depending upon the range of motion, it will guide patients in accomplishing physiotherapy at home. It will also suggest to patients different physio-exercises. With the help of OpenPose, it is possible to render patient images or real-time video.

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