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An ECG Pre-Processing Algorithm for Reliable Transmission and Recovery Over an AWGN Channel

机译：用于在AWGN信道上可靠传输和恢复的ECG预处理算法

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摘要

The history of telecardiology dates back to early 1960 when Electrocardiogram (ECG) was delivered via telecommunication transmission lines. Recent advances in wireless telecardiology have brought ease of access, efficiency, remote monitoring, improvement in patient's quality of life and significant reduction in health care costs. The transmission of ECG over wireless communication channel introduces several challenges compared to standard wireline monitoring of cardiovascular activity. In this work, a pre-processing algorithm is presented for reliable recovery of ECG signal corrupted by additive white Gaussian noise (AWGN) even at very low signal-to-noise ratio (SNR) conditions. At low SNR conditions, interference of noise corrupts the ECG signal to such an extent that the received ECG signals when compared to the original signals show unreliable results. The proposed method involves removal of redundancy in the original signal by a two-step approach: transform based compression using orthogonal wavelet basis function followed by entropy encoding. This is to increase the compression ratio but not at the expense of the quality of the reconstructed signal. This is important to preserve the content of clinical information. The aim of the proposed algorithm is to improve the fidelity of the received ECG signal for accurate clinical interpretation. It is done by using data segmentation, data encoding, reassembly, features detection and signal reconstruction. These steps ensure that the diagnostically critical P-wave, QRS complex and T-wave are kept free of large reconstruction errors. The obtained results are evaluated in terms of compression ratio and PRMSD which are around 2.55:1 and 39.62% respectively at 3dB SNR. The visual perception of the reconstructed ECG signal also shows high quality signal recovery.
机译：心电图病的历史可以追溯到1960年初，当时通过电波传输线传送了心电图（ECG）。无线心电学的最新进展已带来了便捷的访问，效率，远程监控，改善了患者的生活质量并显着降低了医疗保健成本。与标准有线监测心血管活动相比，通过无线通信信道进行ECG传输带来了许多挑战。在这项工作中，提出了一种预处理算法，即使在极低的信噪比（SNR）条件下，也能可靠地恢复因加性高斯白噪声（AWGN）损坏的ECG信号。在低SNR条件下，噪声干扰会使ECG信号损坏到一定程度，以致与原始信号相比，接收到的ECG信号显示出不可靠的结果。所提出的方法涉及通过两步方法消除原始信号中的冗余：使用正交小波基函数的基于变换的压缩，然后进行熵编码。这是为了增加压缩率，但不以重建信号的质量为代价。这对于保留临床信息的内容很重要。提出算法的目的是为了提高接收到的ECG信号的保真度，以进行准确的临床解释。通过使用数据分段，数据编码，重组，特征检测和信号重建来完成。这些步骤可确保对诊断至关重要的P波，QRS复波和T波保持无较大重建误差。根据压缩比和PRMSD（在3dB SNR时分别约为2.55：1和39.62％）评估获得的结果。重建的ECG信号的视觉效果也显示出高质量的信号恢复。

著录项

  • 作者

    Abdullah, Syed Muhammad.;

  • 作者单位

    The University of Texas at Dallas.;

  • 授予单位 The University of Texas at Dallas.;
  • 学科 Electrical engineering.;Health care management.;Biomedical engineering.
  • 学位 Ph.D.
  • 年度 2017
  • 页码 123 p.
  • 总页数 123
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 康复医学;
  • 关键词

  • 入库时间 2022-08-17 11:38:46

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