Random Subspace Method for Sleep Stage Classification of Autism Patients

Autism is the most severe conditions in developmental disorders in children. The number of autism people has increased every year. The autism children often experience sleep problems when compared to children in the general population. Sleep problems are a major health problem in autism children. This problem can cause other disorders such as behavioral disorders, cognitive, and aggravate the symptoms of autism itself. To prevent it, the screening for quality sleep is needed in autism children. This process can be done through the polysomnography. But the doctors need several days to analyze it. Therefore this study proposed an automatic sleep stage classification based on the random subspace method. The method created the decision forest from some random tree. The results showed that it had the highest performance in this study.