Detection of the electrocardiogram P-wave using wavelet analysis

Kanwaldip S. Anant; Farid U. Dowla; Garry H. Rodrigue

doi:10.1117/12.170073

15 March 1994 Detection of the electrocardiogram P-wave using wavelet analysis

Kanwaldip S. Anant, Farid U. Dowla, Garry H. Rodrigue

Proceedings Volume 2242, Wavelet Applications; (1994) https://doi.org/10.1117/12.170073
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

Abstract

Since wavelet analysis is an effective tool for analyzing transient signals, we studied its feature extraction and representation properties for events in electrocardiogram (EKG) data. Significant features of the EKG include the P-wave, the QRS complex, and the T-wave. For this paper the feature that we chose to focus on was the P-wave. Wavelet analysis was used as a preprocessor for a backpropagation neural network with conjugate gradient learning. The inputs to the neural network were the wavelet transforms of EKGs at a particular scale. The desired output was the location of the P-wave. The results were compared to results obtained without using the wavelet transform as a preprocessor.

Citation Download Citation

Kanwaldip S. Anant, Farid U. Dowla, and Garry H. Rodrigue "Detection of the electrocardiogram P-wave using wavelet analysis", Proc. SPIE 2242, Wavelet Applications, (15 March 1994); https://doi.org/10.1117/12.170073

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