ECG Signal Compression Based on Wavelet Packet Transform and Residual Vector Quantization
Küçük Resim Yok
Tarih
2025
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Efficient compression of electrocardiogram (ECG) signals is of great importance, particularly in facilitating data transmission and reducing storage costs in remote monitoring systems. For this purpose, a two-stage compression method based on Wavelet Packet Transform (WPT) and Residual Vector Quantization (RVQ) has been developed. The performance of the proposed method was tested on the widely used MIT-BIH Arrhythmia dataset. Performance evaluation was conducted using statistical metrics such as compression ratio (CR), percentage root-mean-square difference normalized (PRDN), and quality score (QS). Experimental results show that the method achieved a compression ratio of 8.8 : 1 with 6.54% PRDN and 17.6 : 1 with 14.38% PRDN. © 2025 IEEE.
Açıklama
33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 -- 2025-06-25 through 2025-06-28 -- Istanbul -- 211450
Anahtar Kelimeler
ECG signals, Residual vector quantization, Signal compression, Wavelet packet transform
Kaynak
WoS Q Değeri
Scopus Q Değeri
N/A
