Musculoskeletal Physiotherapy using Artificial Intelligence and Machine Learning


Authors : Dr. Sachin. P. Godse, Shalini Singh, Sonal Khule, Vedant Yadav, Shubham Wakhare

Volume/Issue : Volume 4 - 2019, Issue 11 - November

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://bit.ly/35hVvaB

Physiotherapy is the trending medication for curing bones 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. Our aim here is to build a framework using Artificial Intelligence and Machine Learning for providing users with a digitalized system for physiotherapy. Even though varied computer-aided assessment of physiotherapy rehabilitation exist still recent approaches for computer aided monitoring and performance lack versatility and robustness. In our approach we have come up with proposition of an application which will record user’s physiotherapy exercises and also it will provide personalized advice based on user performance for refinement of therapy. By using Open Pose Library our system will detect angle between the joints and depending upon the range of motion it will guide patient in accomplishing physiotherapy at home. It will also suggest patients about different physio-exercises. With the help of Open Pose it is possible to render the patient’s images or real-time video.

Keywords : Physiotherapy, Artificial Intelligence, Machine Learning, Open Pose, Rendering.

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