Title :
An Automatic Wavelet Transform Based ECG Detection Algorithm
Author :
Su Wei-jia ; Huang Fan ; Mo Shun-hao
Author_Institution :
Sino-Dutch Biomed. & Inf. Eng. Sch., Northeastern Univ., Shenyang, China
Abstract :
The cardiovascular disease is one of the main diseases endangering human´s life. ECG signal, or electrocardiogram, is a synthetic reflection of the heart electricity on body surface. Therefore, Clinical ECG examination has important significance in diagnosis of cardiovascular disease. In this paper, we conclude from former experiences in ECG Processing, and develop an automatically ECG analysis algorithm which is based on wavelet transform, aim to accurately locate the position of Q, R and S wave in a piece of ECG signal preparing for the following diagnosis of heart diseases.
Keywords :
electrocardiography; medical signal processing; patient diagnosis; wavelet transforms; ECG detection algorithm; ECG signal; automatic wavelet transform; body surface; cardiovascular disease; clinical ECG examination; electrocardiogram; heart disease diagnosis; heart electricity; synthetic reflection; Continuous wavelet transforms; Convolution; Electrocardiography; Microscopy; Wavelet analysis;
Conference_Titel :
Bioinformatics and Biomedical Engineering, (iCBBE) 2011 5th International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5088-6
DOI :
10.1109/icbbe.2011.5780255
