VLSI Implementation for One-Dimensional Multilevel Lifting-Based Wavelet Transform
IEEE Transactions on Computers
A VLSI architecture for lifting-based forward and inverse wavelettransform
IEEE Transactions on Signal Processing
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
Novel Approach to Fuzzy-Wavelet ECG Signal Analysis for a Mobile Device
Journal of Medical Systems
A Heart Monitoring System for a Mobile Device
International Journal of Handheld Computing Research
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Efficient electrocardiogram (ECG) compression can reduce the payload of real-time ECG transmission as well as reduce the amount of data storage in long-term ECG recording. In this paper an ECG compression/decompression architecture based on the bit-field preserving (BFP) and running length encoding (RLE)/decoding schemes incorporated with the discrete wavelet transform (DWT) is proposed. Compared to complex and repetitive manipulations in the set partitioning in hierarchical tree (SPIHT) coding and the vector quantization (VQ), the proposed algorithm has advantages of simple manipulations and a feedforward structure that would be suitable to implement on very-large-scale integrated circuits and general microcontrollers.