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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
