René Jaros, R. Martínek, R. Kahankova, J. Vanus, M. Fajkus, J. Nedoma
{"title":"小波变换与FIR滤波胎儿心音降噪的比较","authors":"René Jaros, R. Martínek, R. Kahankova, J. Vanus, M. Fajkus, J. Nedoma","doi":"10.1109/HealthCom.2018.8531111","DOIUrl":null,"url":null,"abstract":"This work deals with fetal phonocardiogram (fPCG) processing. Two classical de-noising methods: wavelet transform (WT) method and the finite impulse response filter (FIR filter) are used and compared. For testing, real recordings were used and the evaluation was based on subjective observation and listening to signal improvement after performing individual methods. The results showed that both methods contributed to improved fPCG extraction from noise abdominal phonocardiogram (aPCG). On the basis of the subjective evaluation, in the end, we identified WT as a more appropriate method for processing the fPCG signal.","PeriodicalId":232709,"journal":{"name":"2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Comparison of fetal phonocardiography de-noising by wavelet transform and the FIR filter\",\"authors\":\"René Jaros, R. Martínek, R. Kahankova, J. Vanus, M. Fajkus, J. Nedoma\",\"doi\":\"10.1109/HealthCom.2018.8531111\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work deals with fetal phonocardiogram (fPCG) processing. Two classical de-noising methods: wavelet transform (WT) method and the finite impulse response filter (FIR filter) are used and compared. For testing, real recordings were used and the evaluation was based on subjective observation and listening to signal improvement after performing individual methods. The results showed that both methods contributed to improved fPCG extraction from noise abdominal phonocardiogram (aPCG). On the basis of the subjective evaluation, in the end, we identified WT as a more appropriate method for processing the fPCG signal.\",\"PeriodicalId\":232709,\"journal\":{\"name\":\"2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HealthCom.2018.8531111\",\"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 20th International Conference on e-Health Networking, Applications and Services (Healthcom)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HealthCom.2018.8531111","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparison of fetal phonocardiography de-noising by wavelet transform and the FIR filter
This work deals with fetal phonocardiogram (fPCG) processing. Two classical de-noising methods: wavelet transform (WT) method and the finite impulse response filter (FIR filter) are used and compared. For testing, real recordings were used and the evaluation was based on subjective observation and listening to signal improvement after performing individual methods. The results showed that both methods contributed to improved fPCG extraction from noise abdominal phonocardiogram (aPCG). On the basis of the subjective evaluation, in the end, we identified WT as a more appropriate method for processing the fPCG signal.