An Efficent Lossless Compression Scheme for ECG Signal

Abstract

Cardiac diseases constitute the main cause of mortality around the globe. For detection and identification of cardiac problems, it is very important to monitor the patient's heart activities for long periods during his normal daily life. The recorded signal that contains information about the condition of the heart called electrocardiogram (ECG). As a result, long recording of ECG signal amounts to huge data sizes. In this work, a robust lossless ECG data compression scheme for real-time applications is proposed. The developed algorithm has the advantages of lossy compression without introducing any distortion to the reconstructed signal. The ECG signals under test were taken from the PTB Diagnostic ECG Database. The compression procedure is simple and provides a high compression ratio compared to other lossless ECG compression methods. The compressed ECG data is generated as a text file. The decompression scheme has also been developed using the reverse logic and it is observed that there is no difference between original and reconstructed ECG signal.

Authors and Affiliations

O. *El B’charri, R. Latif, A. Abenaou, W. Jenkal

Keywords

Related Articles

Nonlinear Mixing Model of Mixed Pixels in Remote Sensing Satellite Images Taking Into Account Landscape

Nonlinear mixing model of mixed pixels in remote sensing satellite images taking into account landscape is proposed. Most of linear mixing models of mixed pixels do not work so well because the mixed pixels consist of se...

Biometric Recognition using Area under Curve Analysis of Electrocardiogram

In this paper, we introduce a human recognition system that utilizes lead I electrocardiogram (ECG). It proposes an efficient method for ECG analysis that corrects the signal and extract all major features of its wavefor...

Denoising in Wavelet Domain Using Probabilistic Graphical Models

Denoising of real world images that are degraded by Gaussian noise is a long established problem in statistical signal processing. The existing models in time-frequency domain typically model the wavelet coefficients as...

Comparative study of Authorship Identification Techniques for Cyber Forensics Analysis

Authorship Identification techniques are used to identify the most appropriate author from group of potential suspects of online messages and find evidences to support the conclusion. Cybercriminals make misuse of online...

Detection of SQL Injection Using a Genetic Fuzzy Classifier System

SQL Injection (SQLI) is one of the most popular vulnerabilities of web applications. The consequences of SQL injection attack include the possibility of stealing sensitive information or bypassing authentication procedur...

Download PDF file
  • EP ID EP144024
  • DOI 10.14569/IJACSA.2016.070728
  • Views 107
  • Downloads 0

How To Cite

O. *El B’charri, R. Latif, A. Abenaou, W. Jenkal (2016). An Efficent Lossless Compression Scheme for ECG Signal. International Journal of Advanced Computer Science & Applications, 7(7), 210-215. https://europub.co.uk/articles/-A-144024