ECG signal compression using wavelet foveation

I. Ciocoiu
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引用次数: 4

Abstract

Foveation enables the definition of a proper mask that will modulate the coefficients given by the Discrete Wavelet Transform of an ECG record. The mask is spatially selective and provides maximum accuracy around specific regions of interest. Subsequent denoising and coefficient quantization is further combined with a lossless compression technique in order to provide high compression ratios at low reconstruction errors. Experimental results reported on a number of MIT-BIH records show improved performances over existing solutions.
基于小波注视点的心电信号压缩
注视点能够定义适当的掩模,该掩模将调制由心电记录的离散小波变换给出的系数。掩模具有空间选择性,并在特定区域周围提供最大的准确性。随后的去噪和系数量化进一步与无损压缩技术相结合,以便在低重构误差下提供高压缩比。在MIT-BIH的一些记录上报告的实验结果表明,与现有的解决方案相比,性能有所提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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