Processing and analysis of ECG signal using nonorthogonal wavelet transform

Author

Dai, Wei-Wen ; Yang, Zhen ; Lee Lim, Soon ; Mikhailova, Olga ; Chee, Johnny

Author_Institution

Dept. of Electron. & Comput. Eng., Ngee Ann Polytech., Singapore

fYear

1998

fDate

29 Oct-1 Nov 1998

Firstpage

139

Abstract

An algorithm based on wavelet transform (WT) is developed for enhancement and detection of ECG signals. Random noise and low frequency baseline drift are both reduced by processing of the wavelet transform in the finest and coarsest scales. The coefficients in the intermediate scales are used for the extraction of ECG characteristic points. Discussion of some testing results is also presented

Keywords

discrete wavelet transforms; electrocardiography; filtering theory; interference suppression; medical signal detection; medical signal processing; random noise; signal reconstruction; signal sampling; ECG signal processing; characteristic points extraction; discrete wavelet transform; intermediate scales; nonorthogonal wavelet transform; reduced low frequency baseline drift; reduced random noise; signal detection; signal enhancement; Electrocardiography; Frequency; Low-frequency noise; Noise reduction; Signal analysis; Signal detection; Signal processing; Testing; Wavelet analysis; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE

Conference_Location

Hong Kong

ISSN

1094-687X

Print_ISBN

0-7803-5164-9

Type

conf

DOI

10.1109/IEMBS.1998.745849

Filename

745849