Abstract
The optimization of the parameters of a uniform scalar dead zone quantizer used in a wavelet-based ECG data compression scheme is presented. Two quantization parameters: a threshold T and a step size Δ are optimized for a target bit rate through the particle swarm optimization algorithm. Experiment results on several records from the MIT-BIH arrhythmia database show that the optimized quantizer produces improved compression performance.
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Chen, J., Yang, M., Zhang, Y., Shi, X. (2006). ECG Compression by Optimized Quantization of Wavelet Coefficients. In: Huang, DS., Li, K., Irwin, G.W. (eds) Intelligent Computing in Signal Processing and Pattern Recognition. Lecture Notes in Control and Information Sciences, vol 345. Springer, Berlin, Heidelberg . https://doi.org/10.1007/978-3-540-37258-5_96
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DOI: https://doi.org/10.1007/978-3-540-37258-5_96
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37257-8
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