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Volume 40 Issue 9
Aug.  2018
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Rongjian ZHAO, Minfang TANG, Xianxiang CHEN, Lidong DU, Hualin ZENG, Zhan ZHAO, Zhen FANG. Research of Physiological Monitoring System Based on Optical Fiber Sensor[J]. Journal of Electronics & Information Technology, 2018, 40(9): 2182-2189. doi: 10.11999/JEIT170894
Citation: Rongjian ZHAO, Minfang TANG, Xianxiang CHEN, Lidong DU, Hualin ZENG, Zhan ZHAO, Zhen FANG. Research of Physiological Monitoring System Based on Optical Fiber Sensor[J]. Journal of Electronics & Information Technology, 2018, 40(9): 2182-2189. doi: 10.11999/JEIT170894

Research of Physiological Monitoring System Based on Optical Fiber Sensor

doi: 10.11999/JEIT170894
Funds:  The Key Project of Beijing Municipal Natural Science Foundation (Z16003), The National Key Research and Development Project of China (2016YFC1304302)
  • Received Date: 2017-09-21
  • Rev Recd Date: 2018-06-15
  • Available Online: 2018-07-12
  • Publish Date: 2018-09-01
  • Conventionally, the physiological monitoring system obtains singnal by electrode or bandage which is connected with skins and has disadvantages such as: uncomfortable and bad compliance to users. In order to overcome those problems, a new physiological monitoring system, which is based on the principle that micro bend of optical-fiber induced by weak movement of physiology can change the light intensity to get BallistoCardioGram (BCG) signal, is developed. In such system, the respiration rate, heart rate and body movement are obtained by self-adaption detecting the tiny variation of light intensity. In order to protect fiber and enhance the stability and reliability of system, the fiber is embedded into mattress or cushion with a sandwich structure. Simultaneously, it makes the system have high sensitivity that the fiber is uniformly routed with serpentine-curve shape in the middle of mattress or cushion. It is illustrated by the measurement in several hospitals that the mean error of heart rate is –0.26±2.80 times/min within 95% the confidence interval (±1.96SD) with a correlation 0.9984 to the standard values. It is exhibited as well that the mean error respiration rate is 0.41±1.49 times/min within 95% the confidence interval (±1.96SD) with a correlation 0.9971 to the standard values. It is suggested that the developed system can be senselessly used under zero load and is promised in future.
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