Zhihong Lin, Feng Ye, W. Qin, Xiaofei Cao, Yanchao Wang, Rongtao Hu, R. Yan, Yajie Qin, Ting Yi, Zhiliang Hong
{"title":"一个低功耗、无线、实时、可穿戴的医疗保健系统","authors":"Zhihong Lin, Feng Ye, W. Qin, Xiaofei Cao, Yanchao Wang, Rongtao Hu, R. Yan, Yajie Qin, Ting Yi, Zhiliang Hong","doi":"10.1109/IEEE-IWS.2016.7912155","DOIUrl":null,"url":null,"abstract":"A low-power, wireless, real-time, wearable healthcare system for monitoring bio-potential signals including ECG, EEG and EMG signal is proposed. The system consists of Analog Front End (AFE), Incremental EδADC and Short Range Device (SRD) Transceiver. All the ICs are implemented in 0.35μm CMOS technology and integrated on the printed circuit board (PCB). The AFE and the Incremental E/δADC consume less than 100μW and can be configured to various gains, bandwidths and sampling rates for best energy efficiency when capturing different ExG signals. Lithium-battery provides power for the system. Integrating with Huahong MCU, the system is capable of restoring the ExG signals at real time on TFTLCD after wireless communication, storing the ExG information in SD card, and transferring the ExG data to PC for analyzing it in MATLAB.","PeriodicalId":185971,"journal":{"name":"2016 IEEE MTT-S International Wireless Symposium (IWS)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A low-power, wireless, real-time, wearable healthcare system\",\"authors\":\"Zhihong Lin, Feng Ye, W. Qin, Xiaofei Cao, Yanchao Wang, Rongtao Hu, R. Yan, Yajie Qin, Ting Yi, Zhiliang Hong\",\"doi\":\"10.1109/IEEE-IWS.2016.7912155\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A low-power, wireless, real-time, wearable healthcare system for monitoring bio-potential signals including ECG, EEG and EMG signal is proposed. The system consists of Analog Front End (AFE), Incremental EδADC and Short Range Device (SRD) Transceiver. All the ICs are implemented in 0.35μm CMOS technology and integrated on the printed circuit board (PCB). The AFE and the Incremental E/δADC consume less than 100μW and can be configured to various gains, bandwidths and sampling rates for best energy efficiency when capturing different ExG signals. Lithium-battery provides power for the system. Integrating with Huahong MCU, the system is capable of restoring the ExG signals at real time on TFTLCD after wireless communication, storing the ExG information in SD card, and transferring the ExG data to PC for analyzing it in MATLAB.\",\"PeriodicalId\":185971,\"journal\":{\"name\":\"2016 IEEE MTT-S International Wireless Symposium (IWS)\",\"volume\":\"59 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE MTT-S International Wireless Symposium (IWS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEEE-IWS.2016.7912155\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE MTT-S International Wireless Symposium (IWS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEEE-IWS.2016.7912155","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A low-power, wireless, real-time, wearable healthcare system
A low-power, wireless, real-time, wearable healthcare system for monitoring bio-potential signals including ECG, EEG and EMG signal is proposed. The system consists of Analog Front End (AFE), Incremental EδADC and Short Range Device (SRD) Transceiver. All the ICs are implemented in 0.35μm CMOS technology and integrated on the printed circuit board (PCB). The AFE and the Incremental E/δADC consume less than 100μW and can be configured to various gains, bandwidths and sampling rates for best energy efficiency when capturing different ExG signals. Lithium-battery provides power for the system. Integrating with Huahong MCU, the system is capable of restoring the ExG signals at real time on TFTLCD after wireless communication, storing the ExG information in SD card, and transferring the ExG data to PC for analyzing it in MATLAB.