Proceedings ArticleDOI
ECG signal compression using hybrid 1D and 2D wavelet transform
K Surekha,B. P. Patil +1 more
- pp 468-472
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TLDR
A new compression technique for Electrocardiogram (ECG) signals is proposed, which uses transform based with hybrid stage, suitable for compressing the complete ECG signal as well as the QRS complex.Abstract:
In this paper, we present a compression technique for Electrocardiogram (ECG) signals. Different data compression techniques are available. As the ECG data to be handled is huge, we must use an appropriate compression technique. When we try to compress an ECG signal, the clinically important features of the signal must be properly retained which are useful to the doctors for proper diagnosis. We have proposed a new compression technique, which uses transform based with hybrid stage. In this method, a Discrete Cosine Transform (DCT) stage is combined with 1D or 2D discrete wavelet transforms (DWT) respectively. The hybrid stage is suitable for compressing the complete ECG signal as well as the QRS complex. The compression ratio (CR) and Percent Root Mean Square Difference (PRD) are controlled by proper selection of the threshold value. The threshold value has better hold on the CR.read more
Citations
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Journal ArticleDOI
A Comparative Analysis of Methods for Evaluation of ECG Signal Quality after Compression
TL;DR: An overview of objective algorithms for the assessment of both ECG signal quality after compression and compression efficiency and a combination of these methods are recommended: PSim SDNN, QS, SNR1, MSE, PRDN1, MAX, STDERR, and WEDD SWT.
Journal ArticleDOI
ECG Monitoring Based on Dynamic Compressed Sensing of Multi-Lead Signals.
TL;DR: In this article, a dynamic sensing method for multiple lead ECG monitoring based on compressed sensing (CS) was proposed. But the proposed method was only applied on a single ECG signal.
Journal ArticleDOI
ECG Signal Compression Using the High Frequency Components of Wavelet Transform
Surekha K.S,B. P. Patil +1 more
TL;DR: This paper proposes to use detail coefficients of Wavelet transform for ECG signal compression by comparing the Compression Ratio of both the approximation and detail coefficients and finding the one achieved by detail coefficients is better.
References
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Journal ArticleDOI
ECG data compression techniques-a unified approach
TL;DR: The theoretical bases behind the direct ECG data compression schemes are presented and classified into three categories: tolerance-comparison compression, DPCM, and entropy coding methods and a framework for evaluation and comparison of ECG compression schemes is presented.
Book
Handbook of Biomedical Instrumentation
TL;DR: Handbook of biomedical instrumentation, Handbook of biomedical Instrumentation, کتابخانه مرکزی دانشگاه علوم پزشدکی اتهران.
Journal ArticleDOI
Beta wavelet based ECG signal compression using lossless encoding with modified thresholding
TL;DR: An ECG compression method based on beta wavelet using lossless encoding technique is presented, which shows the superiority of this technique in terms of compression ratio and a desirable signal quality.
Journal ArticleDOI
A new algorithm for the compression of ECG signals based on mother wavelet parameterization and best-threshold levels selection
TL;DR: It can be deduced that the performance of the optimized signal dependent wavelet outperforms that of Daubechies and Coiflet standard wavelets, however, the computational complexity of the proposed technique is the price paid for the improvement in the compression performance measures.