Multi-modal smart bio-sensing SoC platform with >80dB SNR 35µA PPG RX chain

Ajit Sharma, Seung Bae Lee, Arup Polley, Sriram Narayanan, Wen Li, T. Sculley, S. Ramaswamy
{"title":"Multi-modal smart bio-sensing SoC platform with >80dB SNR 35µA PPG RX chain","authors":"Ajit Sharma, Seung Bae Lee, Arup Polley, Sriram Narayanan, Wen Li, T. Sculley, S. Ramaswamy","doi":"10.1109/VLSIC.2016.7573488","DOIUrl":null,"url":null,"abstract":"A multi-modal analog front end (AFE) and ultra-low energy bio-sensing CMOS SoC is presented. System/ circuit techniques enable signal path duty cycles as low as sub-1% and result in a 35μA Photo Plethysmography (PPG) RX Chain - 5X lower than published state of the art - while maintaining overall SNR > 80dBFS. The signal chain is adaptively synchronized by an ultra-low power FSM and includes a 1.3μW 14b 1kSPS SAR A/D. Input signal-aware, real-time data path adaptation is achieved by leveraging on-the-fly algorithms running on an external microcontroller (μC) to further reduce system energy. A programmable, asynchronous capacitive reset amplifier (PARCA) with NEF of 4.8 and dx/dt analog feature extractor demonstrate energy efficient ECG capture. A battery-powered, Bluetooth low energy (BLE) based, wearable platform with simultaneous ECG and PPG acquisition using this AFE has been demonstrated.","PeriodicalId":6512,"journal":{"name":"2016 IEEE Symposium on VLSI Circuits (VLSI-Circuits)","volume":"65 1","pages":"1-2"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Symposium on VLSI Circuits (VLSI-Circuits)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VLSIC.2016.7573488","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16

Abstract

A multi-modal analog front end (AFE) and ultra-low energy bio-sensing CMOS SoC is presented. System/ circuit techniques enable signal path duty cycles as low as sub-1% and result in a 35μA Photo Plethysmography (PPG) RX Chain - 5X lower than published state of the art - while maintaining overall SNR > 80dBFS. The signal chain is adaptively synchronized by an ultra-low power FSM and includes a 1.3μW 14b 1kSPS SAR A/D. Input signal-aware, real-time data path adaptation is achieved by leveraging on-the-fly algorithms running on an external microcontroller (μC) to further reduce system energy. A programmable, asynchronous capacitive reset amplifier (PARCA) with NEF of 4.8 and dx/dt analog feature extractor demonstrate energy efficient ECG capture. A battery-powered, Bluetooth low energy (BLE) based, wearable platform with simultaneous ECG and PPG acquisition using this AFE has been demonstrated.
多模态智能生物传感SoC平台,具有>80dB信噪比35µA PPG RX链
提出了一种多模态模拟前端(AFE)和超低能量生物传感CMOS SoC。系统/电路技术使信号通路占空比低至低于1%,并产生35μA的光容积脉搏波(PPG) RX链-比目前公布的状态低5倍-同时保持总体信噪比> 80dBFS。信号链由超低功耗FSM自适应同步,包括1.3μW 14b 1kSPS SAR a /D。通过利用运行在外部微控制器(μC)上的动态算法来实现输入信号感知,实时数据路径自适应,以进一步降低系统能量。NEF为4.8的可编程异步电容复位放大器(PARCA)和dx/dt模拟特征提取器演示了高能效的心电捕获。一个基于电池供电、蓝牙低功耗(BLE)的可穿戴平台,使用该AFE同时进行ECG和PPG采集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信