ECG Signal Compression for Diverse Transforms

Ruqaiya Khanam; Syed Naseem Ahmad

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ECG Signal Compression for Diverse Transforms

机译：用于多种变换的ECG信号压缩

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Biological signal compression and especially ECG has an important role in the diagnosis, prognosis and survival analysis of heart diseases. Various techniques have been proposed over the years addressing the signal compression. Compression of digital electrocardiogram (ECG) signals is desirable for three reasons- economic use of storage data, reduction of the data transmission rate and transmission bandwidth conversation. ECG signal. In this paper a comparative study of Discrete Fourier Transform (DFT), Fast Fourier Transform (FFT), Discrete Cosine compression is used for telemedicine field and re Transform (DCT) and Wavelet Transform (WT) transform based approach is carried out. Different ECG signals are tested from MIT-BIH arrhythmia database using MATLAB software. The experimental results are obtained for Percent Root Mean Square Difference (PRD), Signal to Noise ratio (SNR) and Compression ratio (CR). The result of ECG signal compression shows better compression performance in DWT compared to DFT, FFT and DCT.

机译：生物信号压缩，尤其是ECG在心脏病的诊断，预后和生存分析中具有重要作用。多年来已经提出了解决信号压缩的各种技术。出于以下三个原因，需要压缩数字心电图（ECG）信号：经济地使用存储数据，降低数据传输速率和传输带宽会话。心电图信号。本文对离散傅里叶变换（DFT），快速傅里叶变换（FFT），离散余弦压缩用于远程医疗领域进行了比较研究，并基于重变换（DCT）和小波变换（WT）进行了研究。使用MATLAB软件从MIT-BIH心律失常数据库测试了不同的ECG信号。获得了百分比均方根差（PRD），信噪比（SNR）和压缩率（CR）的实验结果。与DFT，FFT和DCT相比，ECG信号压缩的结果在DWT中显示出更好的压缩性能。

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《Information and Knowledge Management》 |2012年第5期|共9页
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Ruqaiya Khanam; Syed Naseem Ahmad;
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1. Mixed-transform based codec for 2D compression of ECG signals [J] . Chagnon Johan, Rebollo-Neira Laura Biomedical signal processing and control . 2020,第Sepa期

机译：基于混合变换的Codec，用于ECG信号的2D压缩
2. Compression of ECG signals using variable-length classifıed vector sets and wavelet transforms [J] . Hakan Gurkan EURASIP journal on advances in signal processing . 2012,第1期

机译：使用可变长度分类矢量集和小波变换压缩ECG信号
3. On lossy transform compression of ECG signals with reference to deformation of their parameter values. [J] . Koski A, Tossavainen T, Juhola M Journal of medical engineering & technology . 2004,第2期

机译：关于其参数值变形的ECG信号的有损变换压缩。
4. COMBINED MODEL-BASED AND TRANSFORM-BASED COMPRESSION FOR ECG SIGNAL COMPRESSION [C] . Zahra Passand, Mehrdad Abolbashari Proceedings of the IASTED international conference series on imaging and signal processing in health care and technology ; Human-computer interaction ; Communication, internet and information technology . 2012

机译：基于组合模型和基于变换的ECG信号压缩
5. Compression of ECG signals with feature extraction, classification, and browsability. [D] . Huang, Bin. 2004

机译：具有特征提取，分类和可浏览性的ECG信号压缩。
6. A Fast Walsh Transform ECG Data Compression Algorithm [O] . Walter S. Kuklinski 1981

机译：一种快速Walsh变换ECG数据压缩算法
7. Figure 2: Transforming ECG signal into 124 segments of 1024 values: (A) raw ECG signal, (B) digitized ECG signal, (C) ECG signal segment transformed to image. [O] . -1

机译：图2：将ECG信号转换为1024个值的124个段：（a）原始的ECG信号，（b）数字化的ECG信号，（C）ECG信号段变换为图像。
8. New Nonlinear Transform for IFS Compression of ECG and Other Signals. [R] . Huang, B., Kinsner, W. 2001

机译：心电图及其他信号IFs压缩的新非线性变换。

ECG Signal Compression for Diverse Transforms

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