A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Wavelets and subband coding
A genetic-designed beta basis function neural network for multi-variable functions approximation
Systems Analysis Modelling Simulation - Special issue: Advances in control and computer engineering
A novel algorithm for wavelet based ECG signal coding
Computers and Electrical Engineering
Embedded filter bank-based algorithm for ECG compression
Signal Processing
A 2-D ECG compression algorithm based on wavelet transform and vector quantization
Digital Signal Processing
Wavelet-based hybrid ECG compression technique
Analog Integrated Circuits and Signal Processing
Beta wavelets. Synthesis and application to lossy image compression
Advances in Engineering Software - Advanced algorithms and architectures for signal processing
Wavelet-based low-delay ECG compression algorithm for continuous ECG transmission
IEEE Transactions on Information Technology in Biomedicine
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In this paper, an ECG compression method based on beta wavelet using lossless encoding technique is presented. Wavelet based compression techniques minimize the compression distortion, while run-length encoding (RLE) further increases the compression without any loss of relevant signal information. The developed technique employs a modified thresholding. The wavelet filters based on beta function and its derivative, improves the compression of signal as compared to earlier existing thresholding technique. The simulation results clearly show the superiority of this technique in terms of compression ratio and a desirable signal quality. For performance evaluation, several significant parameters such as percent root mean square difference (PRD), signal-to-noise ratio (SNR) and compression ratio (CR) are used, whereas signal quality and its relevant information are evaluated by QRS peak detection.