{"title":"使用柔性传感器和双稳电路的无线呼吸监测","authors":"Zhipeng Li, Ze Xiong, Chenhui Li, J. S. Ho","doi":"10.1109/BSN51625.2021.9507014","DOIUrl":null,"url":null,"abstract":"Passive wireless sensors based on resonant circuits can provide battery-free monitoring of physiological signals, but their use is limited by the sensitivity of wireless readout. Here we propose a wireless physiological sensing scheme using a flexible on-body sensor and a bistable circuit based on nonlinear parity-time symmetry. When operating in the bistable region, our system converts a periodic physiological signal into a sequence of bistable mode transitions, which exhibits greater sensitivity and ease of readout than conventional readout approaches. We demonstrate a wireless monitoring of human respiration rate and show a SNR enhancement over 10 $\\boldsymbol{d}\\boldsymbol{B}$ compared to the standard readout. Our method may pave the way for noise-robust wireless biosensors for health monitoring during daily life.","PeriodicalId":181520,"journal":{"name":"2021 IEEE 17th International Conference on Wearable and Implantable Body Sensor Networks (BSN)","volume":"155 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Wireless respiration monitoring using a flexible sensor and bistable circuit\",\"authors\":\"Zhipeng Li, Ze Xiong, Chenhui Li, J. S. Ho\",\"doi\":\"10.1109/BSN51625.2021.9507014\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Passive wireless sensors based on resonant circuits can provide battery-free monitoring of physiological signals, but their use is limited by the sensitivity of wireless readout. Here we propose a wireless physiological sensing scheme using a flexible on-body sensor and a bistable circuit based on nonlinear parity-time symmetry. When operating in the bistable region, our system converts a periodic physiological signal into a sequence of bistable mode transitions, which exhibits greater sensitivity and ease of readout than conventional readout approaches. We demonstrate a wireless monitoring of human respiration rate and show a SNR enhancement over 10 $\\\\boldsymbol{d}\\\\boldsymbol{B}$ compared to the standard readout. Our method may pave the way for noise-robust wireless biosensors for health monitoring during daily life.\",\"PeriodicalId\":181520,\"journal\":{\"name\":\"2021 IEEE 17th International Conference on Wearable and Implantable Body Sensor Networks (BSN)\",\"volume\":\"155 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 17th International Conference on Wearable and Implantable Body Sensor Networks (BSN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BSN51625.2021.9507014\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 17th International Conference on Wearable and Implantable Body Sensor Networks (BSN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BSN51625.2021.9507014","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Wireless respiration monitoring using a flexible sensor and bistable circuit
Passive wireless sensors based on resonant circuits can provide battery-free monitoring of physiological signals, but their use is limited by the sensitivity of wireless readout. Here we propose a wireless physiological sensing scheme using a flexible on-body sensor and a bistable circuit based on nonlinear parity-time symmetry. When operating in the bistable region, our system converts a periodic physiological signal into a sequence of bistable mode transitions, which exhibits greater sensitivity and ease of readout than conventional readout approaches. We demonstrate a wireless monitoring of human respiration rate and show a SNR enhancement over 10 $\boldsymbol{d}\boldsymbol{B}$ compared to the standard readout. Our method may pave the way for noise-robust wireless biosensors for health monitoring during daily life.