Characterization of Signals from Multiscale Edges
IEEE Transactions on Pattern Analysis and Machine Intelligence
ECG data compression using truncated singular value decomposition
IEEE Transactions on Information Technology in Biomedicine
Compression of electrocardiogram signals using JPEG2000
IEEE Transactions on Consumer Electronics
Wavelet filter evaluation for image compression
IEEE Transactions on Image Processing
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
Foveated ROI compression with hierarchical trees for real-time video transmission
MCPR'11 Proceedings of the Third Mexican conference on Pattern recognition
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Foveation principles suggested by natural vision systems enable the construction of a proper mask that may modulate the coefficients given by the Discrete Wavelet Transform of an ECG record. The mask is spatially selective and provides maximum accuracy around specific regions of interest. Subsequent denoising and coefficient quantization are further combined with efficient coding techniques such as SPIHT in order to provide high compression ratios at low reconstruction errors. Experimental results reported on a number of MIT-BIH records show improved performances over existing solutions.