Optimal Selection of Wavelet Coefficients for Electrocardiograph Compression

Optimal Selection of Wavelet Coefficients for Electrocardiograph Compression
复制标题

心电图压缩小波系数的优化选择

DOI：
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
I. Borrego
I. Borrego
中科院分区：
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文献类型：
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作者：
M. Elena;J. Quero;I. Borrego

文献摘要

被引文献

相似文献

本文提出了一种简单的方法来实现一个完整的在线便携式无线霍尔特，包括心电图（ECG）监测，处理和通信协议。该算法使用随每个新输入信号样本更新的标准差，显著减少了用于ECG压缩的阈值估计的硬件资源。新方法在硬件复杂度、通道占用和存储器要求方面实现了上级性能，同时将ECG质量保持在临床可接受的水平。
This paper presents a simple method to implement a complete on‐line portable wireless holter including an electrocardiogram (ECG) monitoring, processing, and communication protocol. The proposed algorithm significantly reduces the hardware resources of threshold estimation for ECG compression, using the standard deviation updated with each new input signal sample. The new method achieves superior performance in terms of hardware complexity, channel occupation and memory requirements, while keeping the ECG quality at a clinically acceptable level.