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Near-best WPT compression of polysomnograms

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2 Author(s)
Niederholz, J. ; Comput. Toolsmiths, Stanford, CA, USA ; Taswell, C.

Near-best and best wavelet packet transforms were compared with wavelet transforms for the compression of polysomnograms in a low bitrate telemonitoring application. Four different signal modes were used: ECG, EEG, blood pressure (BP), and nasal thermistor (NT). Near-best wavelet packet transforms provided better overall performance with respect to efficiency of computation and compression, and amenability for use in more sophisticated quality-on-demand algorithms

Published in:

[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint  (Volume:2 )

Date of Conference:

Oct 1999