{"title":"基于AFE4403的光容积脉搏波信号噪声滤波","authors":"Zuhua Fang, Jiale Wang","doi":"10.1109/ICNISC57059.2022.00030","DOIUrl":null,"url":null,"abstract":"In this paper, a system based on the AFE4403 chip is built to acquire the Photoplethysmography signal. This study aims to explore the light intensity changes of the monochromatic light to the reflected light after entering the human tissue with the human heartbeat. The Photoplethysmography signal is acquired by the photoelectric sensor, and the signal is de-baseline drifted and eliminated. The features of the Photoplethysmography signal is extracted, and the bleeding oxygen saturation is calculated by using its features.","PeriodicalId":286467,"journal":{"name":"2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Noise Filtering of Photoplethysmography Signal Based on AFE4403\",\"authors\":\"Zuhua Fang, Jiale Wang\",\"doi\":\"10.1109/ICNISC57059.2022.00030\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a system based on the AFE4403 chip is built to acquire the Photoplethysmography signal. This study aims to explore the light intensity changes of the monochromatic light to the reflected light after entering the human tissue with the human heartbeat. The Photoplethysmography signal is acquired by the photoelectric sensor, and the signal is de-baseline drifted and eliminated. The features of the Photoplethysmography signal is extracted, and the bleeding oxygen saturation is calculated by using its features.\",\"PeriodicalId\":286467,\"journal\":{\"name\":\"2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC)\",\"volume\":\"53 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNISC57059.2022.00030\",\"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 8th Annual International Conference on Network and Information Systems for Computers (ICNISC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNISC57059.2022.00030","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Noise Filtering of Photoplethysmography Signal Based on AFE4403
In this paper, a system based on the AFE4403 chip is built to acquire the Photoplethysmography signal. This study aims to explore the light intensity changes of the monochromatic light to the reflected light after entering the human tissue with the human heartbeat. The Photoplethysmography signal is acquired by the photoelectric sensor, and the signal is de-baseline drifted and eliminated. The features of the Photoplethysmography signal is extracted, and the bleeding oxygen saturation is calculated by using its features.