Title :
A Separation method of one-channel heart voice signal
Author :
Tao Ye-wei ; Zhang Zhong ; Zhang Hui-xiang ; Sun Xia
Author_Institution :
Coll. of Math. & Phys., Nanjing Univ. of Posts & Telecommun., Nanjing, China
Abstract :
This paper presents a new BSS algorithm of single mixed heart voice signal. First the paper discussed the separation model of single-channel heart voice signal and the layered principles. How does this layered work? Can be separated into many layers? The problems are found the solution by to add a reference signal. The equal length layered technique and how to gain independent sub-band functions are studied. Enter the single-channel mixed heart voice signal through the independent sub-band functions, causes it be transformed into the multi-dimensional vector by a dimensional vector, and realized its blind separation and the algorithm does not use the prior knowledge. Finally through the heart voice separation experiments confirmed this method validity and the feasibility.
Keywords :
bioacoustics; blind source separation; cardiology; independent component analysis; medical signal processing; blind signal separation algorithm; equal length layered technique; multidimensional vector; separation method; single channel mixed heart voice signal; sub-band functions; Blind source separation; Eigenvalues and eigenfunctions; Heart; Sensors; Training data; Valves; Independent Sub-Band Functions; Layered Technique; Single-Channel Heart Voice Signal;
Conference_Titel :
Control Conference (CCC), 2010 29th Chinese
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6263-6