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

fYear

2011

fDate

10-12 May 2011

Firstpage

1

Lastpage

3

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Biomedical Engineering, (iCBBE) 2011 5th International Conference on

Conference_Location

Wuhan

ISSN

2151-7614

Print_ISBN

978-1-4244-5088-6

Type

conf

DOI

10.1109/icbbe.2011.5780255

Filename

5780255