Journal ArticleDOI
Constrained ECG compression using best adapted wavelet packet bases
TLDR
A study of ECG compression using an upper bound on the percentage root mean square difference (PRD) is presented, which could be specified by the clinician after correlating the quality of the compressed versions of the ECG and the resulting PRD.Abstract:
The main goal of any electrocardiogram (ECG) compression algorithm is to reduce the bit rate while keeping the signal distortion at a clinically acceptable level. Percentage root mean square difference (PRD), the commonly used figure of merit, does not directly reveal whether the clinically significant ECG waveform information is preserved or not. We present the results of a study of ECG compression using an upper bound on the PRD. This bound is based on the initial performance of the algorithm and could be specified by the clinician after correlating the quality of the compressed versions of the ECG and the resulting PRD.read more
Citations
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Journal ArticleDOI
ECG data compression using truncated singular value decomposition
TL;DR: The results showed that truncated SVD method can provide an efficient coding with high-compression ratios and demonstrated the method as an effective technique for ECG data storage or signals transmission.
Journal ArticleDOI
An efficient compression of ECG signals using deep convolutional autoencoders
TL;DR: A new deep convolutional autoencoder (CAE) model for compressing ECG signals that can learn to use different ECG records automatically and allow secure data transfer in a low-dimensional form to remote medical centers is proposed.
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.
Journal ArticleDOI
Wavelet-based electrocardiogram signal compression methods and their performances: A prospective review
TL;DR: A prospective review of wavelet-based ECG compression methods and their performances based upon findings obtained from various experiments conducted using both clean and noisy ECG signals is presented.
References
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Journal ArticleDOI
Best wavelet packet bases in a rate-distortion sense
TL;DR: A fast rate-distortion (R-D) optimal scheme for coding adaptive trees whose individual nodes spawn descendents forming a disjoint and complete basis cover for the space spanned by their parent nodes is presented.
Journal ArticleDOI
A New Data-Reduction Algorithm for Real-Time ECG Analysis
TL;DR: A new algorithm called CORTES is described here that is suited for real-time applications of ECG analysis and combines the best features of two other techniques called TP and AZTEC.
Proceedings ArticleDOI
ECG compression using discrete symmetric wavelet transform
TL;DR: This paper proposes a new ECG signal compression algorithm using a discrete symmetric wavelet transform that may find applications in digital Holter recording, inECG signal archiving and in ECG data transmission through communication channels.
Journal ArticleDOI
Vector quantization of ECG wavelet coefficients
K. Anant,Farid Dowla,G. Rodrigue +2 more
TL;DR: An improved wavelet compression algorithm for ECG signals has been developed with the use of vector quantization on wavelet coefficients and preliminary results indicate that the proposed method excels over standard techniques for high fidelity compression.
Journal Article
ECG data compression with wavelet and discrete cosine transforms.
Zou F,Gallagher Rr +1 more
TL;DR: The effectiveness of the two transforms in compressing ECG data is investigated and it is observed that with the new techniques, better visualization quality can be achieved with the same total number of transform coefficients.