| Literature DB >> 3719031 |
Abstract
A model has been proposed for the stochastic occurrence of bursts of rapid eye movements (REMs) during sleep. REM-burst are simulated by a Poisson counting process with a rate that depends on a binary Markov "sleep state". The corresponding maximum likelihood detector, that continuously monitors the current sleep state based on the observed REM-bursts, has been derived and implemented. Simulations show 97% correct decisions.Mesh:
Year: 1986 PMID: 3719031 DOI: 10.1007/bf00320484
Source DB: PubMed Journal: Biol Cybern ISSN: 0340-1200 Impact factor: 2.086