A 65nm CMOS low power impulse radar for respiratory feature extraction

Shao-Ting Tseng, Yu-Hsien Kao, Chun-Chieh Peng, Jinn-Yann Liu, Shao-Chang Chu, Guo-Feng Hong, Chi-Hsuan Hsieh, K. Hsu, Wen-Te Liu, Yuan-Hao Huang, Shi-Yu Huang, Ta-Shun Chu
{"title":"A 65nm CMOS low power impulse radar for respiratory feature extraction","authors":"Shao-Ting Tseng, Yu-Hsien Kao, Chun-Chieh Peng, Jinn-Yann Liu, Shao-Chang Chu, Guo-Feng Hong, Chi-Hsuan Hsieh, K. Hsu, Wen-Te Liu, Yuan-Hao Huang, Shi-Yu Huang, Ta-Shun Chu","doi":"10.1109/RFIC.2015.7337752","DOIUrl":null,"url":null,"abstract":"This paper presents a wireless sensor system for monitoring human respiratory activities. The sensor is composed of a fully-integrated CMOS impulse radar chip and a DSP platform that is used for human respiratory feature extraction. The proposed and implemented radar chip was fabricated using in the TSMC 65nm CMOS technology. It can achieve the 1.5mm scanning resolution over the 15m scanning range with total 21mW power consumption. Moreover, the timing circuitry supporting range gated sensing and the pulse generator are all digital standard cell-based design which is very favorable to the technology scaling. The real-time DSP platform captures the wireless data via the CMOS radar chip and processes that through a human respiratory feature extraction algorithm. The entire system can fully operate to validate the performance of the wireless sensor system. Furthermore, the clinical trial was carried on and the system was proved helpful in rapid screen for respiratory diseases.","PeriodicalId":121490,"journal":{"name":"2015 IEEE Radio Frequency Integrated Circuits Symposium (RFIC)","volume":"127 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Radio Frequency Integrated Circuits Symposium (RFIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RFIC.2015.7337752","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

This paper presents a wireless sensor system for monitoring human respiratory activities. The sensor is composed of a fully-integrated CMOS impulse radar chip and a DSP platform that is used for human respiratory feature extraction. The proposed and implemented radar chip was fabricated using in the TSMC 65nm CMOS technology. It can achieve the 1.5mm scanning resolution over the 15m scanning range with total 21mW power consumption. Moreover, the timing circuitry supporting range gated sensing and the pulse generator are all digital standard cell-based design which is very favorable to the technology scaling. The real-time DSP platform captures the wireless data via the CMOS radar chip and processes that through a human respiratory feature extraction algorithm. The entire system can fully operate to validate the performance of the wireless sensor system. Furthermore, the clinical trial was carried on and the system was proved helpful in rapid screen for respiratory diseases.
一种用于呼吸特征提取的65nm CMOS低功率脉冲雷达
提出了一种用于人体呼吸活动监测的无线传感器系统。该传感器由全集成的CMOS脉冲雷达芯片和用于人体呼吸特征提取的DSP平台组成。该雷达芯片采用台积电65nm CMOS工艺制造。在15m扫描范围内可实现1.5mm扫描分辨率,总功耗为21mW。此外,支持量程门控传感的时序电路和脉冲发生器都是基于数字标准单元的设计,非常有利于技术的规模化。实时DSP平台通过CMOS雷达芯片捕获无线数据,并通过人体呼吸特征提取算法进行处理。整个系统可以充分运行,验证无线传感器系统的性能。并进行了临床试验,结果表明该系统有助于呼吸系统疾病的快速筛查。
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