Please use this identifier to cite or link to this item: http://localhost:8081/jspui/handle/123456789/17279
Title: ECG COMPRESSION USING DWT
Authors: Chauhan, Kuldeep Kumar
Keywords: ECG Compression;Signal Processing Techniques;Methodology;Discrete Wavelet Transform
Issue Date: May-2015
Publisher: IIT ROORKEE
Abstract: The field of ECG Compression deals with digital signal processing techniques that focuses on reducing bit-rate of ECG signals to enhance transmission speed and to reduce the storage requirement of fast developing multimedia age. ECG compression techniques are utilized to reduce the number of bits required to represent ECG signals (by reducing redundancy) in order to minimize the requirement for transmission bandwidth or to reduce the storage costs. This report explores a different methodology for compression of the ECG signal. Different transforms methods are explored which involve Discrete Wavelet Transform (DWT), Fourier Transform (FT) and Discrete Cosine Transform (DCT). Work done here mainly focuses on compression using DWT. A comparative study of performance of various wavelets is made in terms of Signal to noise ratio (SNR), Compression ratio (CR), percentage root mean square difference (PRD %) and Retained energy (RE). Run Length Encoding (RLE) technique has been used for encoding wavelet coefficients. Matlab code is written and simulated for compressing the ECG samples.
URI: http://localhost:8081/jspui/handle/123456789/17279
metadata.dc.type: Other
Appears in Collections:MASTERS' THESES (Electrical Engg)

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