{"title":"一个高度集成的连续、无创BP估计计算平台","authors":"Nazrul Khan, J. M. Eklund","doi":"10.1109/CCECE.2018.8447680","DOIUrl":null,"url":null,"abstract":"Bio-Signal computing involves signal acquisition, conditioning and processing. Inherently, signal acquisition and conditioning is done through analog discrete front end circuitry. Signal processing in the analog domain involves higher component counts, inaccuracies, and limitations. Due to the recent developments in VLSI technology, highly integrated Analog Front Ends (AFEs) are emerging, capable of processing bio-signals under program control. This ushers a new design paradigm for the embedded system designers. In this paper, we present a highly integrated AFE based embedded system-a novel, low cost remote platform, capable of multimodal bio-signal computing including continuous, and non-invasive blood pressure estimation.","PeriodicalId":181463,"journal":{"name":"2018 IEEE Canadian Conference on Electrical & Computer Engineering (CCECE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Highly Integrated Computing Platform for Continuous, Non-Invasive BP Estimation\",\"authors\":\"Nazrul Khan, J. M. Eklund\",\"doi\":\"10.1109/CCECE.2018.8447680\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Bio-Signal computing involves signal acquisition, conditioning and processing. Inherently, signal acquisition and conditioning is done through analog discrete front end circuitry. Signal processing in the analog domain involves higher component counts, inaccuracies, and limitations. Due to the recent developments in VLSI technology, highly integrated Analog Front Ends (AFEs) are emerging, capable of processing bio-signals under program control. This ushers a new design paradigm for the embedded system designers. In this paper, we present a highly integrated AFE based embedded system-a novel, low cost remote platform, capable of multimodal bio-signal computing including continuous, and non-invasive blood pressure estimation.\",\"PeriodicalId\":181463,\"journal\":{\"name\":\"2018 IEEE Canadian Conference on Electrical & Computer Engineering (CCECE)\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE Canadian Conference on Electrical & Computer Engineering (CCECE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCECE.2018.8447680\",\"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 Canadian Conference on Electrical & Computer Engineering (CCECE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCECE.2018.8447680","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Highly Integrated Computing Platform for Continuous, Non-Invasive BP Estimation
Bio-Signal computing involves signal acquisition, conditioning and processing. Inherently, signal acquisition and conditioning is done through analog discrete front end circuitry. Signal processing in the analog domain involves higher component counts, inaccuracies, and limitations. Due to the recent developments in VLSI technology, highly integrated Analog Front Ends (AFEs) are emerging, capable of processing bio-signals under program control. This ushers a new design paradigm for the embedded system designers. In this paper, we present a highly integrated AFE based embedded system-a novel, low cost remote platform, capable of multimodal bio-signal computing including continuous, and non-invasive blood pressure estimation.