Title :
A sleep scoring algorithm for the rat EEG based on AR modeling
Author :
Desai, Rupal ; Ning, Taikang ; Bronzino, Joseph
Author_Institution :
Trinity Coll., Hartford, CT, USA
Abstract :
An approach using the second-order autoregressive (AR) modeling technique is presented for distinguishing between the electroencephalographic patterns associated with vigilance states of quiet waking, slow-wave sleep, and REM sleep in the rat hippocampus and frontal cortex. The specific measures of energy, dominant frequency and its associated intensity, are computed. These parameters are used as the decision variables to discriminate between the various vigilance states.<>
Keywords :
electroencephalography; physiological models; REM sleep; decision variables; electroencephalographic patterns; frontal cortex; quiet waking; rat EEG; rat hippocampus; second-order autoregressive modelling; sleep scoring algorithm; slow-wave sleep; vigilance states;
Conference_Titel :
Engineering in Medicine and Biology Society, 1988. Proceedings of the Annual International Conference of the IEEE
Conference_Location :
New Orleans, LA, USA
Print_ISBN :
0-7803-0785-2
DOI :
10.1109/IEMBS.1988.94883
