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A wavelet footprints-based compression scheme for ECG signals

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2 Author(s)
Ho Tatt Wei ; Universiti Teknologi Petronas, Tronoh, Malaysia ; Jeoti, V.

Herein, an ECG compression scheme is proposed, which is based on the wavelet footprint representation of ECG signals [Ho Tatt Wei and Varun Jeoti, July 2004] in combination with some signal preprocessing, linear quantization and Huffman coding. Experiments conducted on selected records of the MTT-BlH Arrythmia database indicate that compression ratios of about 10x are achievable with average PRD of 0.8450%.

Published in:

TENCON 2004. 2004 IEEE Region 10 Conference  (Volume:A )

Date of Conference:

21-24 Nov. 2004