ECG Compression method based on convolutional autoencoder and discrete wavelet transform
Küçük Resim Yok
Tarih
2020
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
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
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
