{"title":"Proposal of Extracting Pulse Wave During Driving a Car Based on Frequency Domain BSS","authors":"Kakeru Ishikawa, Minoru Komatsu, H. Matsumoto","doi":"10.1109/ISPACS48206.2019.8986382","DOIUrl":null,"url":null,"abstract":"Recently, monitor for the health condition of a driver during driving a car is actively studied [1]. Especially, pulse wave (PW) is studied to monitor the health condition of a driver during driving a car. Conventionally, the observed signals are assumed instantaneous mixture of PW and noise, and the separation precision with conventional method is lower [3]. Therefore, the observed signal may be convolutive mixtures. In this paper, in order to improve separation precision, we propose the method based on frequency domain Blind Source Separation (BSS) for convolutive mixture. We evaluate the advantage of the proposed method by computer simulation.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"31 1","pages":"1-2"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPACS48206.2019.8986382","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Recently, monitor for the health condition of a driver during driving a car is actively studied [1]. Especially, pulse wave (PW) is studied to monitor the health condition of a driver during driving a car. Conventionally, the observed signals are assumed instantaneous mixture of PW and noise, and the separation precision with conventional method is lower [3]. Therefore, the observed signal may be convolutive mixtures. In this paper, in order to improve separation precision, we propose the method based on frequency domain Blind Source Separation (BSS) for convolutive mixture. We evaluate the advantage of the proposed method by computer simulation.