Proceedings ArticleDOI
Performance evaluation of ECG compression techniques
Goutam Kumar Sahoo,Samit Ari,Sarat Kumar Patra +2 more
- pp 1-5
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TLDR
The experimental result shows that the proposed method achieves better compression ratio along with better PRD compared to earlier methods.Abstract:
Compression of bulky electrocardiogram (ECG) signal is a common requirement for most of the computerized applications. In this paper, a new compression and reconstruction technique based on Empirical Mode Decomposition (EMD) is proposed. The performance evaluation of the proposed technique is based on comparisons of Compression Ratio (CR) and Percent Root mean square Difference (PRD). The compression method consists of mainly five stages: EMD based signal decomposition, downsampling, discrete cosine transform (DCT), window filtering and Huffman encoding. The ECG signal reconstruction method follows the compression process in reverse order. The proposed algorithm is validated by testing on 48 ECG records available in MIT/BIH arrhythmia database. The compression efficiency is evaluated and the average values of CR and PRD are found to be 23.74:1 and 1.49, respectively. The experimental result shows that the proposed method achieves better compression ratio along with better PRD compared to earlier methods.read more
Citations
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Journal ArticleDOI
ECG data compression algorithm for tele-monitoring of cardiac patients
TL;DR: An efficient electrocardiogram (ECG) data compression algorithm for tele-monitoring of cardiac patients from rural area, based on combination of two encoding techniques with discrete cosine transform, which provides good compression ratio (CR) with low percent root-mean-square difference (PRD) values.
Proceedings ArticleDOI
Study of various data compression techniques used in lossless compression of ECG signals
TL;DR: This paper has studied and analyzed various lossless data compression techniques used in the compression of ECG signals, and calculated and compared the CR and PRD values using all above discussed techniques for 28 sets of the recorded data.
Proceedings ArticleDOI
Study and analysis of ECG compression algorithms
M Pallavi,H M Chandrashekar +1 more
TL;DR: The experimental result indicates that the compression by EMD gives better CR and PRD compare to all other methods.
Book ChapterDOI
A Novel Approach for ECG Compression and Use of Cubic Spline Method for Reconstruction
TL;DR: By applying cubic spline method, the clean ECG signals are obtained and derived in the result section as discussed by the authors , it is observed that the proposed method is providing better performance as compared to other techniques.
References
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Book
Advances in Cardiac Signal Processing
TL;DR: The Electrocardiogram and Wavelets and its Application in Cardiology, 1/f Fluctuation of Heart Rate in Postoperative and Brain-Dead Patients, and Stress During Speech Therapy.
Journal ArticleDOI
ECG Data Compression Using Fourier Descriptors
TL;DR: The method of Fourier descriptors (FD's) is presented for ECG data compression, resistant to noisy signals and is simple, requiring implementation of forward and inverse FFT.
Journal ArticleDOI
A Real-Time ECG Data Compression and Transmission Algorithm for an e-Health Device
TL;DR: Because the proposed real-time data compression and transmission algorithm can compress and transmit data in real time, it can be served as an optimal biosignal data transmission method for limited bandwidth communication between e-health devices.
Journal ArticleDOI
ECG data compression using cut and align beats approach and 2-D transforms
Hanwoo Lee,K.M. Buckley +1 more
TL;DR: A new electrocardiogram (ECG) data compression method is presented which employs a two dimensional (2-D) transform which illustrates substantial improvement in compression ratio over one-dimensional methods for comparable percent root-mean-square difference (PRD).
Journal ArticleDOI
A 2-D ECG compression method based on wavelet transform and modified SPIHT
TL;DR: A two-dimensional wavelet-based electrocardiogram (ECG) data compression method which employs a modified set partitioning in hierarchical trees (SPIHT) algorithm and achieves high compression ratio with relatively low distortion and is effective for various kinds of ECG morphologies.