Adil Ali Saleem, Kainat Zafar, M. A. Raza, Z. Kareem, Mui-zzud- din, H. Siddiqui, S. Dudley
{"title":"基于物联网的智能理疗系统研究进展","authors":"Adil Ali Saleem, Kainat Zafar, M. A. Raza, Z. Kareem, Mui-zzud- din, H. Siddiqui, S. Dudley","doi":"10.55708/js0110007","DOIUrl":null,"url":null,"abstract":": 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.","PeriodicalId":156864,"journal":{"name":"Journal of Engineering Research and Sciences","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"IoT Based Smart Physiotherapy System: A Review\",\"authors\":\"Adil Ali Saleem, Kainat Zafar, M. A. Raza, Z. Kareem, Mui-zzud- din, H. Siddiqui, S. Dudley\",\"doi\":\"10.55708/js0110007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\": 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.\",\"PeriodicalId\":156864,\"journal\":{\"name\":\"Journal of Engineering Research and Sciences\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Engineering Research and Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.55708/js0110007\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Engineering Research and Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.55708/js0110007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
: 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.