Academic Journal of Computing & Information Science, 2020, 3(1); doi: 10.25236/AJCIS.2020.030113.
Tao Yuan1, a, Huo Shihang2, b
1 School of Harbin University of Science and Technology, Harbin 150080, China
2 School of Harbin University of Science and Technology, Harbin 150080, China
a [email protected], b [email protected]
Based on depth learning, a wearable elastic band embedded with grating strips is tied to the chest or abdominal cavity of a patient. Due to volume changes generated during breathing, the position changes of grating strips in the elastic band are caused. Accurate detection of the position changes of grating strips through grating sensors can realize monitoring of respiratory process. Firstly, the application program is developed based on LabVIEW virtual software platform, and the remote monitoring and control functions are realized by using the network mode based on Browser/Server (B/S). Then, the impedance signals and blood oxygen saturation of human body are collected through simulation experiments for system test verification. The system realizes the wireless transmission and monitoring of respiratory signals, which enables patients to get rid of the bondage of electrode connection and does not affect sleep quality. With the characteristics of small volume and low power consumption, it provides a new idea for community medical remote monitoring.
in-depth study, Rip, Rbm, blood oxygen saturation, Sleep apnea syndrome, B/s
Tao Yuan, Huo Shihang. Intelligent Remote Respiratory Monitoring System Based on Deep Learning. Academic Journal of Computing & Information Science (2020), Vol. 3, Issue 1: 122-130. https://doi.org/10.25236/AJCIS.2020.030113.
 Liu Yongkai, Sun Yan, Shi Wenfei, et al (2019). A respiratory monitoring system based on wearable devices and smartphones. Beijing Biomedical Engineering, No.4, pp.417-423.
 Chen Bijiang (2019). Research on remote mobile medical monitoring system based on Internet of Things. Information Recording Materials, vol.20, no.7, pp. 184-185.
 Yang Gang, Wang Man, Qu Shengnian (2018). Design and implementation of Android-based remote positioning monitoring system for the elderly. Computer and Digital Engineering, vol. 46, no. 5, pp. 1033-1037.
 Ge Fangmin, Li Qiang, Lin Xinghua, et al (2019). Research on the construction of pre-hospital emergency medical service platform based on 5G technology. Chinese Journal of Emergency Medicine, vol. 28, no. 10, pp. 1223-1227.
 Ye Kang, Yang Xinyuan, Lei Yun, et al (2017). Wireless medical monitoring system for the elderly based on Bluetooth 4.0. Science and Technology Innovation, vol 2, pp 18-19.
 Sun Huan, Xu Xinjian, Tang Dongsheng (2019). Design of Central Monitoring System for Ventilator Oxygen Concentration. China Medical Equipment, vol 3, pp 9-12.
 Lin Guo, Liu Xuefeng, Mao Jianhua, et al (2018). Design and implementation of client for remote health monitoring system supported by Sensor Web. Electronic Measurement Technology, vol. 3, pp. 69-73.
 Yu Min, Xu Zhi, Wei Ming (2019). Research on key technologies of remote real-time health monitoring systemp. Aerospace Medicine and Medical Engineering, vol. 32, no. 3, pp. 221-228.
 Wang Dongfeng, Wang Huilin (2019). Research on Intelligent Voice Alarm System of Ventilator. Electronics World, No. 4, p 58-61.
 Peng Jiapeng, Luo Yihan, Ye Jilun, et al (2019). Development of a miniature monitoring system for newborns. Foreign Electronic Measurement Technology, No. 5, pp. 81-85.