A flexible active dual-parameter sensor for sensitive temperature and physiological signal monitoring via integrating thermoelectric and piezoelectric conversion

2019 ◽  
Vol 7 (14) ◽  
pp. 8258-8267 ◽  
Author(s):  
Pengcheng Zhu ◽  
Yao Wang ◽  
Ming Sheng ◽  
Yaling Wang ◽  
Yuedong Yu ◽  
...  
Keyword(s):  
Physiological Signal ◽  
Signal Monitoring

A flexible active dual-parameter sensor for sensitive temperature and physiological signal monitoring has been developed via integrating thermoelectric and piezoelectric conversion.

scholarly journals Non-contact physiological signal monitoring system based on Doppler radar

2017 ◽  
Vol 14 (3) ◽  
pp. 20161178-20161178 ◽  
Author(s):  
Long Chen ◽  
Xining Yang ◽  
Jianfeng Wu ◽  
Lingyan Fan
Keyword(s):  
Monitoring System ◽  
Doppler Radar ◽  
Physiological Signal ◽  
Signal Monitoring

scholarly journals Research on Non-Contact Monitoring System for Human Physiological Signal and Body Movement

Biosensors ◽  
2019 ◽  
Vol 9 (2) ◽  
pp. 58 ◽  
Author(s):  
Qiancheng Liang ◽  
Lisheng Xu ◽  
Nan Bao ◽  
Lin Qi ◽  
Jingjing Shi ◽  
...  
Keyword(s):  
Monitoring System ◽  
Doppler Radar ◽  
Body Movement ◽  
Radar System ◽  
The Body ◽  
Body Motion ◽  
Physiological Monitoring ◽  
Physiological Signal ◽  
Signal Monitoring ◽  
Monitoring Devices

With the rapid increase in the development of miniaturized sensors and embedded devices for vital signs monitoring, personal physiological signal monitoring devices are becoming popular. However, physiological monitoring devices which are worn on the body normally affect the daily activities of people. This problem can be avoided by using a non-contact measuring device like the Doppler radar system, which is more convenient, is private compared to video monitoring, infrared monitoring and other non-contact methods. Additionally real-time physiological monitoring with the Doppler radar system can also obtain signal changes caused by motion changes. As a result, the Doppler radar system not only obtains the information of respiratory and cardiac signals, but also obtains information about body movement. The relevant RF technology could eliminate some interference from body motion with a small amplitude. However, the motion recognition method can also be used to classify related body motion signals. In this paper, a vital sign and body movement monitoring system worked at 2.4 GHz was proposed. It can measure various physiological signs of the human body in a non-contact manner. The accuracy of the non-contact physiological signal monitoring system was analyzed. First, the working distance of the system was tested. Then, the algorithm of mining collective motion signal was classified, and the accuracy was 88%, which could be further improved in the system. In addition, the mean absolute error values of heart rate and respiratory rate were 0.8 beats/min and 3.5 beats/min, respectively, and the reliability of the system was verified by comparing the respiratory waveforms with the contact equipment at different distances.

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