2023Unpublished venueRequires access

Lossless Compression Technique For ECG Signals Using A-law Companding Algorithm

Mustapha El Hanine, Hicham Ouldzira, Abdelghani Boudaoud, Elhassane Abdelmounim

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Abstract

In this work, we present a lossless compression technique based on the use of the A-law companding algorithm, associated with the inter-leads correlation to compress ECG signals by reducing the dynamic range and number of encoded signals. Experiments are conducted on the selected records from the PTB Arrhythmia Database, and the performance is evaluated using the compression ratio (CR) and the percent root mean square difference (PRD). the results show that this technique efficiently retains pathological informations, whether for patients in normal condition or with arrhythmias, a total compression ratio CR of 4.92 is achieved with a PRD of 0 %.

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What this paper is about

In this work, we present a lossless compression technique based on the use of the A-law companding algorithm, associated with the inter-leads correlation to compress ECG signals by reducing the dynamic range and number of encoded signals. Experiments are conducted on the selected records from the PTB Arrhythmia Database, and the performance is evaluated using the compression ratio (CR) and the percent root mean square difference (PRD). the results show that this technique efficiently retains pathological informations, whether for patients in normal condition or with arrhythmias, a total compression ratio CR of 4.92 is achieved with a PRD of 0 %.

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Available abstract

In this work, we present a lossless compression technique based on the use of the A-law companding algorithm, associated with the inter-leads correlation to compress ECG signals by reducing the dynamic range and number of encoded signals. Experiments are conducted on the selected records from the PTB Arrhythmia Database, and the performance is evaluated using the compression ratio (CR) and the percent root mean square difference (PRD). the results show that this technique efficiently retains pathological informations, whether for patients in normal condition or with arrhythmias, a total compression ratio CR of 4.92 is achieved with a PRD of 0 %.

Key concepts: Companding, Lossless compression, Compression ratio, Data compression, Compression (physics), Algorithm, Computer science, Data compression ratio

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