Research on Time-Frequency Analysis Algorithm of Heart Sound Signal in Smart Clothing

Author

Li-de, Zhu ; Chang-yun, Miao ; Hua, Gao ; Chen, Zhang ; Fang-fang, Bai ; Jing-meng, Gan ; Ming, Ma

Author_Institution

Coll. of Inf. & Commun. Eng., Tianjin Polytech. Univ., Tianjin, China

fYear

2011

fDate

16-17 July 2011

Firstpage

161

Lastpage

164

Abstract

Aimed at the heart sound signal acquired by new type FBG heart sound sensor in smart clothing, time-frequency algorithm is proposed to analyze the first heart sound (s1) and the second heart sound (s2). Firstly, db4 wavelet is used to decompose the signal which is reconstructed according to different signal contained in different layers of component after compulsory denoising. The reconstructed signal is then transformed into analytical signal by Hilbert transform, and negative frequency components are eliminated. Finally, analytical signal is analyzed by Wigner-Ville distribution, and the parameters of s1 and s2 are obtained. Analysis results show that the method can get the frequency range, duration time and amplitude of s1 and s2 accurately.

Keywords

cardiology; clothing; signal denoising; signal reconstruction; time-frequency analysis; Hilbert transform; Wigner Ville distribution; denoising; heart sound signal; signal decompose; signal reconstruction; signal transformation; smart clothing; time frequency analysis; Fiber gratings; Heart; Monitoring; Noise; Noise reduction; Time frequency analysis; FBG heart sound sensor; heart sound; smart clothing; wavelet; wigner-ville distribution;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Society (ISCCS), 2011 International Symposium on

Conference_Location

Kota Kinabalu

Print_ISBN

978-1-4577-0644-8

Type

conf

DOI

10.1109/ISCCS.2011.51

Filename

6004409