Title :
Combination of Linear and Nonlinear Methods on Electroencephalogram State Recognition
Author :
Fang, S.C. ; Chan, H.L. ; Chen, W.H.
Author_Institution :
Dept. of Neurology, Cardinal Tien Hospital Yung Ho Branch, Taipei
Abstract :
Electroencephalogram (EEG) reveals brain state, i.e. awake, sleep, rather than the content of thinking. We calculated fast/slow power spectrum ratio and approximate entropy on the EEG of three brain states, normal awake, sleep and coma. Based on the above EEG quantities, the EEG in different brain states can be clearly separated in the following way: (1) fast and complex for normal awake, (2) slow and complex for sleep and (3) slow and simple for coma
Keywords :
electroencephalography; entropy; medical signal processing; sleep; spectral analysis; EEG; approximate entropy; brain state; coma; electroencephalogram state recognition; linear methods; nonlinear methods; normal awake state; power spectrum; sleep; Brain modeling; Electroencephalography; Entropy; Fourier transforms; Frequency; Hospitals; Nervous system; Signal analysis; Sleep; Statistical analysis; Approximate entropy; Electroencephalogram;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1615495
