Explicit parameterization of sleep EEG transients Export

@article{citeulike:2461779, abstract = {Adaptive time-frequency approximations, implemented via the matching pursuit algorithm, offer description of local signals structures in terms of their time occurrence and width, frequency and amplitude. This allows to construct explicit filters for finding EEG waveforms, known from the visual analysis, in the matching pursuit decomposition of signals. In such a way detectors of relevant structures of both transient and oscillatory nature can be constructed in the space of physically meaningful parameters. This study presents evaluation of changes of power and frequency of sleep spindles and delta waves, related to the depth of the sleep, which were previously assessed in a qualitative way. We confirm quantitatively the decrease of frequencies of sleep spindles and delta waves with the depth of the sleep.}, author = {Malinowska, U. and Durka, P. and Zygierewicz, J. and Szelenberger, W. and Wakarow, A.}, booktitle = {Wavelet-based Algorithms for Medical Problems}, citeulike-article-id = {2461779}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.compbiomed.2006.08.005}, citeulike-linkout-1 = {http://linkinghub.elsevier.com/retrieve/pii/S0010482506001351}, citeulike-linkout-2 = {http://www.sciencedirect.com/science/article/B6T5N-4KY88RX-1/2/996391a4564164f3ecdc7a7a36f3ae06}, doi = {10.1016/j.compbiomed.2006.08.005}, issn = {00104825}, journal = {Computers in Biology and Medicine}, keywords = {eeg, matching\_pursuit, pattern\_recognition, sleep, wavelets}, month = {April}, number = {4}, pages = {534--541}, posted-at = {2009-10-26 08:46:34}, priority = {2}, title = {Explicit parameterization of sleep EEG transients}, url = {http://dx.doi.org/10.1016/j.compbiomed.2006.08.005}, volume = {37}, year = {2007} }

TY - JOUR ID - citeulike:2461779 L3 - citeulike-article-id:2461779 N2 - Adaptive time-frequency approximations, implemented via the matching pursuit algorithm, offer description of local signals structures in terms of their time occurrence and width, frequency and amplitude. This allows to construct explicit filters for finding EEG waveforms, known from the visual analysis, in the matching pursuit decomposition of signals. In such a way detectors of relevant structures of both transient and oscillatory nature can be constructed in the space of physically meaningful parameters. This study presents evaluation of changes of power and frequency of sleep spindles and delta waves, related to the depth of the sleep, which were previously assessed in a qualitative way. We confirm quantitatively the decrease of frequencies of sleep spindles and delta waves with the depth of the sleep. IS - 4 JF - Computers in Biology and Medicine SN - 00104825 EP - 541 TI - Explicit parameterization of sleep EEG transients VL - 37 T2 - Wavelet-based Algorithms for Medical Problems SP - 534 KW - eeg KW - matching_pursuit KW - pattern_recognition KW - sleep KW - wavelets AU - Malinowska, U AU - Durka, P AU - Zygierewicz, J AU - Szelenberger, W AU - Wakarow, A PY - 2007/04// UR - http://dx.doi.org/10.1016/j.compbiomed.2006.08.005 ER -