| Autor: |
Faisal AI; Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada. faisaa4@mcmaster.ca., Majumder S; Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada. majums3@mcmaster.ca., Mondal T; Department of Pediatrics, McMaster University, Hamilton, ON L8S 4L8, Canada. mondalt@mcmaster.ca., Cowan D; Department of Medicine, St. Joseph's Healthcare Hamilton, Hamilton, ON L8N 4A6, Canada. cowand@mcmaster.ca., Naseh S; Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada. sasan_naseh@yahoo.com., Deen MJ; Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada. jamal@mcmaster.ca. |
| Abstrakt: |
The world's population is aging: the expansion of the older adult population with multiple physical and health issues is now a huge socio-economic concern worldwide. Among these issues, the loss of mobility among older adults due to musculoskeletal disorders is especially serious as it has severe social, mental and physical consequences. Human body joint monitoring and early diagnosis of these disorders will be a strong and effective solution to this problem. A smart joint monitoring system can identify and record important musculoskeletal-related parameters. Such devices can be utilized for continuous monitoring of joint movements during the normal daily activities of older adults and the healing process of joints (hips, knees or ankles) during the post-surgery period. A viable monitoring system can be developed by combining miniaturized, durable, low-cost and compact sensors with the advanced communication technologies and data processing techniques. In this study, we have presented and compared different joint monitoring methods and sensing technologies recently reported. A discussion on sensors' data processing, interpretation, and analysis techniques is also presented. Finally, current research focus, as well as future prospects and development challenges in joint monitoring systems are discussed. |
