Title :
Quality controlled compression of polysomnograms
Author :
Taswell, Carl ; Niederholz, Juergen
Author_Institution :
Comput. Toolsmiths, Stanford, CA, USA
Abstract :
A novel compression algorithm incorporating the near-best wavelet packet transform is introduced for multi-modal signals in low bitrate telemonitoring applications. The method permits flexible control of the total bitrate subject to the constraints of the channel, and the allocation of the total bitrate to each of the constituent modes subject to the quality preferences of the observer. Its performance is demonstrated using polysomnograms with 4 different signal modes (ECG, EEG, BP and NT)
Keywords :
data compression; electrocardiography; electroencephalography; medical signal processing; patient monitoring; sleep; telemedicine; wavelet transforms; BP; ECG; EEG; NT; compression algorithm; constituent modes; flexible control; low bitrate telemonitoring applications; multi-modal signals; near-best wavelet packet transform; performance; polysomnograms; quality controlled compression; quality preferences; total bitrate; Bit rate; Cost function; Databases; Displays; Electrocardiography; Electroencephalography; Proportional control; Testing; 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.1999.804098
