Analysis of ECG Data Compression Techniques

Journal Title: INTERNATIONAL JOURNAL OF ENGINEERING TRENDS AND TECHNOLOGY - Year 2013, Vol 5, Issue 3

Abstract

ECG (electrocardiogram) is a test that measures the electrical activity of the heart.The heart is a muscular organ that beats in rhythm to pump the blood through the body. Large amount of signal data needs to be stored and transmitted. So, it is necessary to compress the ECG signal data in an efficient way. In the past decades, many ECG compression methods have been proposed and these methods can be roughly classified into three categories: direct methods, parameter extraction methods and transform methods. In this paper a comparative study of Fast Fourier Transform (FFT), Discrete Cosine Transform (DCT), Discrete sine Transform (DST) and Discrete Cosine Transform-II (DCT-II). Records selected from MIT-BIH arrhythmia database are tested. For performance evaluation Compression Ratio (CR), Percent Root Mean Square differences (PRD) are used

Authors and Affiliations

V. S. R Kumari , Sridhar Abburi

Keywords

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  • EP ID EP146742
  • DOI -
  • Views 122
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How To Cite

V. S. R Kumari, Sridhar Abburi (2013). Analysis of ECG Data Compression Techniques. INTERNATIONAL JOURNAL OF ENGINEERING TRENDS AND TECHNOLOGY, 5(3), 116-124. https://europub.co.uk./articles/-A-146742