Abstract:
While time and cost intensive tests are the current standard for diagnosing and classifying sleep disorders, we present results of using ten minute electroencephalographi...Show MoreMetadata
Abstract:
While time and cost intensive tests are the current standard for diagnosing and classifying sleep disorders, we present results of using ten minute electroencephalographic recordings to differentiate between narcolepsy and idiopathic hypersomnia. Using a novel and fast machine learning approach, we reach an accuracy of almost 75 percent and moreover we show that there are systematic differences in the delta and beta-1 frequencies. For personalized treatments, it is important to differentiate between sleep disorders as they not only have side effects, but are also not equally effective for each respective sleep disorder.
Published in: 2019 IEEE International Conference on E-health Networking, Application & Services (HealthCom)
Date of Conference: 14-16 October 2019
Date Added to IEEE Xplore: 28 February 2020
ISBN Information: