Title :
Near-best WPT compression of polysomnograms
Author :
Niederholz, Juergen ; Taswell, Carl
Author_Institution :
Comput. Toolsmiths, Stanford, CA, USA
Abstract :
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
Keywords :
data compression; electrocardiography; electroencephalography; haemodynamics; medical signal processing; patient monitoring; sleep; telemedicine; wavelet transforms; ECG; EEG; best wavelet packet transforms; blood pressure; computation efficiency; low bitrate telemonitoring application; nasal thermistor; near-best WPT compression; performance; polysomnograms; quality-on-demand algorithms; signal modes; wavelet transforms; Databases; Discrete wavelet transforms; Distortion measurement; Electrocardiography; Electroencephalography; Niobium; Statistics; Telemedicine; Wavelet packets; Wavelet transforms;
Conference_Titel :
[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
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-5674-8
DOI :
10.1109/IEMBS.1999.804115
