Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
ECG compression method using Lorentzian functions model
Digital Signal Processing
ECG signal compression by multi-iteration EZW coding for different wavelets and thresholds
Computers in Biology and Medicine
Lossless and Near-Lossless Compression of Ecg Signals with Block-Sorting Techniques
International Journal of High Performance Computing Applications
A 2-D ECG compression algorithm based on wavelet transform and vector quantization
Digital Signal Processing
On the Use of 2-D Coding Techniques for ECG Signals
IEEE Transactions on Information Technology in Biomedicine
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
Electrocardiogram Signal Compression Using Beta Wavelets
Journal of Mathematical Modelling and Algorithms
Efficient health data compression on mobile devices
Proceedings of the 3rd ACM MobiHoc workshop on Pervasive wireless healthcare
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Presented is a novel method dedicated to ECG compression. It uses the block-based discrete cosine transform (DCT) and considers the percent root-mean-square difference (PRD) as a controlled quality criterion. The simple and efficient resulting lookup table coding in coordination with the non-zero resulting DCT coefficients adaptive linear quantization, proffer to the method a high performance. The experiments carried out on the MIT-BIH arrhythmia records point out its effectiveness and classify it as a valid concurrent to some recently published powerful methods.