Abijith Rajan, S. Logeshwaran, S. P. Kumar, Geethanjali
{"title":"多普勒超声血流应用的基于实验室视图的噪声去除和基线校正","authors":"Abijith Rajan, S. Logeshwaran, S. P. Kumar, Geethanjali","doi":"10.1109/ICCCNT.2012.6396025","DOIUrl":null,"url":null,"abstract":"Doppler Ultrasound has been widely used in the measurement of blood flow parameters such as blood velocity, blood pressure etc. Success of the automated quantification algorithms for these variables depends on the interference or noise free strength of the signal and position of the base line with respect to zero. Preprocessing and baseline correction techniques suitable for accurate measurement of these parameters are compared in this work. A 1 KHz calibration signal from the vascular Doppler recorder is used as a reference signal for this purpose. Performances of Butterworth low pass filters with different orders and detrending methods employing different wavelets are compared in terms of mean square error (MSE) in this paper. This has resulted in successful measurements of blood velocity of brachial, DorsalisPedis and post tibial vein.","PeriodicalId":364589,"journal":{"name":"2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Lab VIEW based noise removal and baseline correction for doppler ultrasound blood flow applications\",\"authors\":\"Abijith Rajan, S. Logeshwaran, S. P. Kumar, Geethanjali\",\"doi\":\"10.1109/ICCCNT.2012.6396025\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Doppler Ultrasound has been widely used in the measurement of blood flow parameters such as blood velocity, blood pressure etc. Success of the automated quantification algorithms for these variables depends on the interference or noise free strength of the signal and position of the base line with respect to zero. Preprocessing and baseline correction techniques suitable for accurate measurement of these parameters are compared in this work. A 1 KHz calibration signal from the vascular Doppler recorder is used as a reference signal for this purpose. Performances of Butterworth low pass filters with different orders and detrending methods employing different wavelets are compared in terms of mean square error (MSE) in this paper. This has resulted in successful measurements of blood velocity of brachial, DorsalisPedis and post tibial vein.\",\"PeriodicalId\":364589,\"journal\":{\"name\":\"2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-07-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCCNT.2012.6396025\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCNT.2012.6396025","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Lab VIEW based noise removal and baseline correction for doppler ultrasound blood flow applications
Doppler Ultrasound has been widely used in the measurement of blood flow parameters such as blood velocity, blood pressure etc. Success of the automated quantification algorithms for these variables depends on the interference or noise free strength of the signal and position of the base line with respect to zero. Preprocessing and baseline correction techniques suitable for accurate measurement of these parameters are compared in this work. A 1 KHz calibration signal from the vascular Doppler recorder is used as a reference signal for this purpose. Performances of Butterworth low pass filters with different orders and detrending methods employing different wavelets are compared in terms of mean square error (MSE) in this paper. This has resulted in successful measurements of blood velocity of brachial, DorsalisPedis and post tibial vein.