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Comparison of Sleep State Classification Performance Using Random Forests, Hidden Markov Models, and Non-homogeneous Hidden Markov Models
DownloadFall 2020
In this work, the CF00N polysomnograph data of 75 patients, with ranging severeties of Obstructive Sleep Apnea (OSA), is presented and analyzed in terms of sleep state classification. The pre-processing and cleaning of each polysomnograph recording were performed in R (R Core Team, 2019) using...
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Spring 2018
Using models in order to formalize and abstract the view of a system is a popular approach in different research areas. Deriving behavioral models from software executions is a common approach used in supporting a broad range of software development, maintenance, and verification and validation...
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