Title: Virtual sports rehabilitation and monitoring system for the elderly based on intelligent interaction and embedded system
Authors: Xingyun Peng; Dongfang Nie
Addresses: School of Smart Healthcare Industry, Chongqing City Management College, Shapingba 401331, Chongqing, China ' Department of Sports, Chongqing University of Science and Technology, Chongqing 401331, China
Abstract: This article uses medical electrode pads as the ECG sensor, introduces the signal into the subsequent conditioning circuit, sticks to the electrode pads on both sides of the human body's chest and abdomen, and ensures a firm fit. After each signal acquisition module works normally, connect each module to the wireless body area network terminal node for system networking test. System testing includes not only signal acquisition testing and network communication testing, but also host computer software testing. The BCG signal is collected by a piezoelectric film sensor, which converts the mechanical vibration in the human body into a variable voltage output. The results show that the system can accurately collect and process data, maintain good communication with the software platform, and has high reliability.
Keywords: intelligent interaction; embedded system; sports rehabilitation and monitoring system; rehabilitation monitoring; virtual technology.
International Journal of Embedded Systems, 2022 Vol.15 No.3, pp.193 - 203
Received: 28 Jan 2021
Accepted: 21 Apr 2021
Published online: 11 Aug 2022 *