{"title":"基于正交镜像滤波的单输入盲源分离脉冲波提取方法的思考","authors":"Seiya Ogawa, Minoru Komatsu, H. Matsumoto","doi":"10.1109/ISPACS57703.2022.10082802","DOIUrl":null,"url":null,"abstract":"BSS is known as a method to separate double sources using only the signals observed by double sensors. A study of Pulse Wave (PW) extraction using Blind Signal Separation (BSS) has been progressing. In the pulse wave extraction, various types of noises and PW are used as source signals, and the PW is extracted using BSS from the observed signals that are a mixture of these signals. However, since this method uses double sensors, there are still issues to be solved for practical use, such as adjusting the distance between sensors. The purpose of this study is to solve this problem by proposing a single-input BSS method for PW extraction. In the proposed method, two series of signals are generated by a single input signal using Quadrature Mirror Filter (QMF), and the BSS of these signals is used as the basis of the PW extraction. As a result, we can extract PW with the same degree of precision compared to the conventional double-input BSS method.","PeriodicalId":410603,"journal":{"name":"2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Consideration on a Single Input Blind Source Separation Method Using Quadrature Mirror Filter for Pulse Wave Extraction\",\"authors\":\"Seiya Ogawa, Minoru Komatsu, H. Matsumoto\",\"doi\":\"10.1109/ISPACS57703.2022.10082802\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"BSS is known as a method to separate double sources using only the signals observed by double sensors. A study of Pulse Wave (PW) extraction using Blind Signal Separation (BSS) has been progressing. In the pulse wave extraction, various types of noises and PW are used as source signals, and the PW is extracted using BSS from the observed signals that are a mixture of these signals. However, since this method uses double sensors, there are still issues to be solved for practical use, such as adjusting the distance between sensors. The purpose of this study is to solve this problem by proposing a single-input BSS method for PW extraction. In the proposed method, two series of signals are generated by a single input signal using Quadrature Mirror Filter (QMF), and the BSS of these signals is used as the basis of the PW extraction. As a result, we can extract PW with the same degree of precision compared to the conventional double-input BSS method.\",\"PeriodicalId\":410603,\"journal\":{\"name\":\"2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISPACS57703.2022.10082802\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPACS57703.2022.10082802","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Consideration on a Single Input Blind Source Separation Method Using Quadrature Mirror Filter for Pulse Wave Extraction
BSS is known as a method to separate double sources using only the signals observed by double sensors. A study of Pulse Wave (PW) extraction using Blind Signal Separation (BSS) has been progressing. In the pulse wave extraction, various types of noises and PW are used as source signals, and the PW is extracted using BSS from the observed signals that are a mixture of these signals. However, since this method uses double sensors, there are still issues to be solved for practical use, such as adjusting the distance between sensors. The purpose of this study is to solve this problem by proposing a single-input BSS method for PW extraction. In the proposed method, two series of signals are generated by a single input signal using Quadrature Mirror Filter (QMF), and the BSS of these signals is used as the basis of the PW extraction. As a result, we can extract PW with the same degree of precision compared to the conventional double-input BSS method.