Automatic ECG Characteristic Analysis using Wavelet Packet Transform

Author

Kusathitsiriphan, Wechit ; Yimman, Surapun ; Suwancheewasiri, Chaiyan ; Dejhan, Kobchai

Author_Institution

King Mongkut´´s Inst. of Technol., Bangkok

fYear

2006

fDate

Oct. 18 2006-Sept. 20 2006

Firstpage

1153

Lastpage

1157

Abstract

This paper present the automatic ECG signal analysis by wavelet packet transform (WPT) along with signal squaring, window integration and frame creating to cover each cycle of ECG signal to ease the process to calculate the set on points, and set off points, and time intervals within QRS complexes, T waves and P waves. The results of QRS complex detection from automatic ECG analysis on 15 sets of ECG data from MIT-BIH Arrhythmia with total number of 31,959 beats have shown that selectivity Se = 99.79%, the positive predictivity +P = 99.58% and the detection error DER = 0.632%

Keywords

electrocardiography; wavelet transforms; MIT-BIH Arrhythmia; QRS complex detection; automatic ECG characteristic analysis; signal squaring; wavelet packet transform; window integration; Binary trees; Electrocardiography; Frequency; Image edge detection; Low pass filters; Signal analysis; Signal processing; Wavelet analysis; Wavelet packets; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications and Information Technologies, 2006. ISCIT '06. International Symposium on

Conference_Location

Bangkok

Print_ISBN

0-7803-9741-X

Electronic_ISBN

0-7803-9741-X

Type

conf

DOI

10.1109/ISCIT.2006.339961

Filename

4141400