ECG Compression method based on convolutional autoencoder and discrete wavelet transform

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Tarih

2020

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Yayıncı

Institute of Electrical and Electronics Engineers Inc.

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

In this work, a compression method based on one dimensional convolutional autocoder architecture and wavelet transform is proposed for the compression of ECG signals. The proposed method is tested on the MIT-BIH Arrhythmia Database and its performance is evaluated with respect to compression ratio (CR) and mean-independent percentage mean square difference (MPRD). Experimental results showed that the proposed method achieves an average CR value of 32.27:1 with an averages MPRD of %18.91. © 2020 IEEE.

Açıklama

28th Signal Processing and Communications Applications Conference, SIU 2020 -- 5 October 2020 through 7 October 2020 -- -- 166413

Anahtar Kelimeler

convolutional auto-encoder, data compression, discrete wavelet transform, ECG signals

Kaynak

2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings

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