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International Journal of Advanced Research in Computer and Communication Engineering
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
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← Back to VOLUME 2, ISSUE 9, SEPTEMBER 2013

A Survey on Compression Techniques for Ecg Signals

RANJANA CHATURVEDI, MRS. YOJANA YADAV Student, Department of ET & T, Chhatrapati Shivaji Institute of Technology, Durg, India Associate Professor, Department of ET & T, Chhatrapati Shivaji Institute of Technology, Durg, India

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Abstract: Electrocardiogram (ECG) signal play important role in diagnosis and survival analysis of heart diseases. Various techniques have been proposed over the years addressing the signal compression. Compression of ECG signals is desirable for three reasons- economic use of storage data, reduction of the data transmission rate and transmission bandwidth conversation. In this paper a comparative study of Discrete Fourier Transform (DFT), Fast Fourier Transform (FFT), Discrete Cosine compression and Discrete Wavelet Transform (DWT) is used. Different ECG signals taken from MIT-BIH arrhythmia database are tested. The experimental results are obtained for Percent Root Mean Square Difference (PRD) and Compression ratio (CR). The result of ECG signal compression shows better compression performance for DCT and DWT with appropriate PRD. The main purpose of this research work is to compare the major techniques of ECG signal compression in a single view.

Keywords: ECG, Data compression technique, Compression ratio, PRD.

How to Cite:

[1] RANJANA CHATURVEDI, MRS. YOJANA YADAV Student, Department of ET & T, Chhatrapati Shivaji Institute of Technology, Durg, India Associate Professor, Department of ET & T, Chhatrapati Shivaji Institute of Technology, Durg, India, “A Survey on Compression Techniques for Ecg Signals,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)

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