IoT Based Smart Physiotherapy System: A Review
by Adil Ali Saleem 1 
, Kainat Zafar 1 , Muhammad Amjad Raza 1 , Zahid Kareem 1 , Mui-zzud-din 1 , Hafeez Ur Rehman Siddiqui 1,* 
, Sandra Dudley 2
1 Institute of Computer Science, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, 64200, Pakistan
2 School of Engineering, London South Bank University, 103 Borough Road, London SE1 0AA, UK
* Author to whom correspondence should be addressed.
Journal of Engineering Research and Sciences, Volume 1, Issue 10, Page # 45-55, 2022; DOI: 10.55708/js0110007
Keywords: IoT, Machine Learning, Smart Physiotherapy, Sensors, Remote Health Monitoring
Received: 31 July 2022, Revised: 12 September 2022, Accepted: 06 October 2022, Published Online: 10 October 2022
APA Style
Saleem, A. A., Zafar, K., Raza, M. A., Kareem, Z., Din, M. Z., Siddiqui, H. U. R., & Dudley, S. (2022). IoT Based Smart Physiotherapy System: A Review. Journal of Engineering Research and Sciences, 1(10), 45–55. https://doi.org/10.55708/js0110007
Chicago/Turabian Style
Saleem, Adil Ali, Kainat Zafar, Muhammad Amjad Raza, Zahid Kareem, Mui-Zzud- Din, Hafeez Ur Rehman Siddiqui, and Sandra Dudley. “IoT Based Smart Physiotherapy System: A Review.” Journal of Engineering Research and Sciences 1, no. 10 (October 1, 2022): 45–55. https://doi.org/10.55708/js0110007.
IEEE Style
A. A. Saleem et al., “IoT Based Smart Physiotherapy System: A Review,” Journal of Engineering Research and Sciences, vol. 1, no. 10, pp. 45–55, Oct. 2022, doi: 10.55708/js0110007.
During recent years, the increase in the ageing population, the ubiquity of chronic diseases in the world, and the development in technologies have resulted in high demand for efficient healthcare systems. Physical anomalies mostly caused by injury, disease, and ageing lead to limit the regular ability of people to move and function. Primary health care providers often refer patients to conservative regular exercises as the first stage of the remedial process. The exercises operated under trained supervision are effective, but it is not feasible to supervise each patient under the growing number of such cases. Smart Physiotherapy exercise is one of the most beneficial and need of the time. The proper and systematic execution of recommended exercises is required for effective home-based physiotherapy. This study aims at exploring recent investigations performed by researchers in this discipline and subsequently, provide a ground for new researchers to improve or bring innovation in the approach. Electronic databases were searched between 2015 and 2020 in addition the reference lists of the articles that meet the criteria were also searched. The outcome of this study indicates that there is no prolific application that automatically monitors and guides the patients in performing the right and systematic exercises advised by the physiotherapist.
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