標題: Time-Frequency Analysis of Heart Sound Signals Based on Hilbert-Huang Transformation
作者: Hung, Tzu-Hsun
Chou, Chia-Ching
Fang, Wai-Chi
Li, Arvin Huang-Te
Chang, Yu-Ching
Hwang, Bai-Kuang
Shau, Yio-Wha
電子工程學系及電子研究所
Department of Electronics Engineering and Institute of Electronics
關鍵字: Empirical Mode Decomposition (EMD);Hilbert-Huang Transformation (HHT);heart sound
公開日期: 2012
摘要: In this study, a method based on Hilbert-Huang Transformation (HHT) for time-frequency analysis of heart sound signals is presented. HHT is employed because most biomedical signals such as Electroencephalogram (EEG), Electrocardiogram (ECG) and heart sound signals are non-stationary signals. Heart sound signals recordings are often contaminated with the spike noise caused by the front-end circuits or measurement instruments in the real situations. A digital median filter is firstly employed to remove the spike noise of the heart sound signals. Then, the time series data are decomposed into several IMFs (Intrinsic Mode Function) using Empirical Mode Decomposition (EMD) algorithm. Hilbert transformation algorithm is utilized to acquire the instantaneous frequency for every IMF. Simulation results show that time-frequency domain analysis of heart sounds signals based on HHT algorithm is able to offer higher frequency resolution.
URI: http://hdl.handle.net/11536/20764
ISBN: 978-1-4673-1356-8
期刊: 2012 IEEE 16TH INTERNATIONAL SYMPOSIUM ON CONSUMER ELECTRONICS (ISCE)
Appears in Collections:Conferences Paper