Compression of an ECG Signal Using Mixed Transforms

• DOI: 10.31026/j.eng.2014.06.08
• Publication Date: 2023-07-24T19:57:49Z
• Authors: Sadiq J. Abou-Loukh; Jaleel Sadoon Jameel
• Keywords: SIGNAL (programming language)

Electrocardiogram (ECG) is an important physiological signal for cardiac disease diagnosis. With the increasing use of modern electrocardiogram monitoring devices that generate vast amount data requiring huge storage capacity. In order to decrease costs or make ECG signals suitable and ready transmission through common communication channels, datavolume must be reduced. So effective compression method required. This paper presents efficient technique signals. this technique, different transforms have been used compress At first, a 1-D was segmented aligned 2-D array, then mixed transform implemented in form. The algorithms were tested using multiwavelet, wavelet slantlet form proposed based on transforms. Then vector quantization employed extract coefficients. Some selected records from MIT/BIH arrhythmia database contrastively performance theproposed methods analyzed evaluated MATLAB package. Simulation results showed gave high ratio (CR) comparing with other available methods. For example, one record (record 100) yielded CR 24.4 associated percent root mean square difference (PRD) 2.56% achieved.