Beki?Ryazici, TahirAydemir, GürkanGürkan, Hakan2026-02-082026-02-0820259798331566555https://doi.org/10.1109/SIU66497.2025.11112498https://hdl.handle.net/20.500.12885/516533rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 -- 2025-06-25 through 2025-06-28 -- Istanbul -- 211450Efficient 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.trinfo:eu-repo/semantics/closedAccessECG signalsResidual vector quantizationSignal compressionWavelet packet transformConference Object10.1109/SIU66497.2025.111124982-s2.0-105015373258N/A