DocumentCode :
2521817
Title :
Study on Noninvasive Auto-Estimation of Pulmonary Arterial Pressures by Doppler Echocardiography Audio Signal Processing System
Author :
Zhang, Yuqi ; Sun, Kun ; Wang, Yuanyuan ; Wu, Lanping ; Wang, Weiqi ; Ma, Yu
Author_Institution :
Dept. of Pediatric Cardiology, Shanghai Jiaotong Univ., Shanghai, China
fYear :
2009
fDate :
11-13 June 2009
Firstpage :
1
Lastpage :
4
Abstract :
The objective of this paper is to assess the accuracy of audio signal Processing system in noninvasive automatic estimation of Pulmonary arterial pressure(PAP). Comparative studies among Doppler echocardiography, audio signal processing system (ASPS) and cardiac catheterization for predicting PAP have been done in 51 children with left-to-right shunting congenital heart disease. Estimated pulmonary artery systolic and mean pressure adopting modified pulmonary to aortic flow time interval ratios (FPA/FAO) by ASPS correlated highly with those measured by cardiac catheterization (r = 0.95,0.96, p < 0.001), were correlated better than those measured by Doppler echocardiography (r = 0.86,0.86, p < 0.001). PAP can be estimated noninvasively adopting modified FPA/FAO by ASPS.
Keywords :
Doppler measurement; audio signal processing; blood pressure measurement; blood vessels; cardiovascular system; catheters; diseases; echocardiography; medical signal processing; paediatrics; ASPS noninvasive adoptive modification; Doppler echocardiography; aortic flow time interval ratio; audio signal processing system; cardiac catheterization; left-to-right shunting congenital heart disease; pulmonary arterial pressure auto-estimation; pulmonary artery systolic mean pressure; Application specific processors; Arteries; Blood pressure; Cardiac disease; Catheterization; Echocardiography; Fluid flow measurement; Pressure measurement; Signal processing; Time measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2901-1
Electronic_ISBN :
978-1-4244-2902-8
Type :
conf
DOI :
10.1109/ICBBE.2009.5163489
Filename :
5163489
Link To Document :
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