{"title":"8通道生物医学前端(BFE)，每通道6.2 μ w，用于EEG/ECoG采集","authors":"Li Dong, Xiaoyan Gui, Ying Xie, Li Geng","doi":"10.1109/CICTA.2018.8705950","DOIUrl":null,"url":null,"abstract":"This paper presents the design of a low power biomedical front-end (BFE) for Electroencephalogram (EEG)/Electrocorticography (ECoG) acquisition applications through 0.18 $\\mu m$ CMOS process. By balancing the design constrains of total input-referred noise of the BFE, gain and power of multi-channel LNAs, and resolution of the ADC, the BFE achieves power consumption of 6.2 $\\mu W$ per channel, for an 8-channel design. In addition, a 12-bit SAR ADC with data weighted averaging (DWA) calibrations is proposed to alleviate the design burdens in the low noise amplifier (LNA).","PeriodicalId":186840,"journal":{"name":"2018 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"An 8-Channel Biomedical Front-End (BFE) with 6.2-μW Per Channel for EEG/ECoG Acquisition\",\"authors\":\"Li Dong, Xiaoyan Gui, Ying Xie, Li Geng\",\"doi\":\"10.1109/CICTA.2018.8705950\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the design of a low power biomedical front-end (BFE) for Electroencephalogram (EEG)/Electrocorticography (ECoG) acquisition applications through 0.18 $\\\\mu m$ CMOS process. By balancing the design constrains of total input-referred noise of the BFE, gain and power of multi-channel LNAs, and resolution of the ADC, the BFE achieves power consumption of 6.2 $\\\\mu W$ per channel, for an 8-channel design. In addition, a 12-bit SAR ADC with data weighted averaging (DWA) calibrations is proposed to alleviate the design burdens in the low noise amplifier (LNA).\",\"PeriodicalId\":186840,\"journal\":{\"name\":\"2018 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA)\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CICTA.2018.8705950\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CICTA.2018.8705950","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An 8-Channel Biomedical Front-End (BFE) with 6.2-μW Per Channel for EEG/ECoG Acquisition
This paper presents the design of a low power biomedical front-end (BFE) for Electroencephalogram (EEG)/Electrocorticography (ECoG) acquisition applications through 0.18 $\mu m$ CMOS process. By balancing the design constrains of total input-referred noise of the BFE, gain and power of multi-channel LNAs, and resolution of the ADC, the BFE achieves power consumption of 6.2 $\mu W$ per channel, for an 8-channel design. In addition, a 12-bit SAR ADC with data weighted averaging (DWA) calibrations is proposed to alleviate the design burdens in the low noise amplifier (LNA).
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
