Using hidden Markov models for sleep disordered breathing identification

Introducing Busy Customer Portfolio Using Hidden Markov Model

Due to the effective role of Markov models in customer relationship management (CRM), there is a lack of comprehensive literature review which contains all related literatures. In this paper the focus is on academic databases to find all the articles that had been published in 2011 and earlier. One hundred articles were identified and reviewed to find direct relevance for applying Markov models...

Speaker Independent Speech Recognition Using Hidden Markov Models for Persian Isolated Words

Speaker Independent Speech Recognition Using Hidden Markov Models for Persian Isolated Words

Sleep Apnea Syndrome Identification Using Hidden Markov Models

In this work, a sleep apnea diagnosis system based on Hidden Markov Models (HMMs) is presented. Conventional and new simulated annealing based methods for the training of HMMs are incorporated. The inference method of this system translates parameter values into interpretations of physiological and pathophysiological states. The interpretation is extended to sequences of states in time to obtai...

Sleep and sleep disordered breathing in hospitalized patients.

Sleep is a fundamental physiological process necessary for recovery from acute illness. Unfortunately for hospitalized patients, sleep is often short, fragmented, and poor in quality, and may be associated with adverse outcomes including inpatient delirium. Many factors contribute to poor sleep in the hospital setting, including preexisting sleep deprivation, sleep disordered breathing, environ...