S. Hsu, Yingchieh Ho, Yuhwai Tseng, Ting-You Lin, Po-Yao Chang, Jen-Wei Lee, Ju-Hung Hsiao, Siou-Ming Chuang, Tze-Zheng Yang, Po-Chun Liu, Ten-Fang Yang, Ray-Jade Chen, C. Su, Chen-Yi Lee
{"title":"A sub-100µW multi-functional cardiac signal processor for mobile healthcare applications","authors":"S. Hsu, Yingchieh Ho, Yuhwai Tseng, Ting-You Lin, Po-Yao Chang, Jen-Wei Lee, Ju-Hung Hsiao, Siou-Ming Chuang, Tze-Zheng Yang, Po-Chun Liu, Ten-Fang Yang, Ray-Jade Chen, C. Su, Chen-Yi Lee","doi":"10.1109/VLSIC.2012.6243837","DOIUrl":null,"url":null,"abstract":"A multi-functional cardiac signal processor (CSP) with integrated sensor interfaces is designed for mobile healthcare applications, especially for heart activity diagnosis in different phases. Applying dedicated processing engines, the CSP extracts critical cardiac signal features based on compressed data with 90% storage reduction, while keeping the data network secure. Implemented in 90nm CMOS, the CSP consumes 22.6μW to 46.5μW at 0.5/1.0V in different configurations. Besides, the 10.2μW biopotential and 11.4μW capacitive sensor interfaces further enhance the system functionality.","PeriodicalId":6347,"journal":{"name":"2012 Symposium on VLSI Circuits (VLSIC)","volume":"26 1","pages":"156-157"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"27","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Symposium on VLSI Circuits (VLSIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VLSIC.2012.6243837","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 27
Abstract
A multi-functional cardiac signal processor (CSP) with integrated sensor interfaces is designed for mobile healthcare applications, especially for heart activity diagnosis in different phases. Applying dedicated processing engines, the CSP extracts critical cardiac signal features based on compressed data with 90% storage reduction, while keeping the data network secure. Implemented in 90nm CMOS, the CSP consumes 22.6μW to 46.5μW at 0.5/1.0V in different configurations. Besides, the 10.2μW biopotential and 11.4μW capacitive sensor interfaces further enhance the system functionality.