Learning machines and sleeping brains: Automatic sleep stage classification using decision-tree multi-class support vector machines

摘要

Background: Sleep staging is a critical step in a range of electrophysiological signal processing pipelines used in clinical routine as well as in sleep research. Although the results currently achievable with automatic sleep staging methods are promising, there is need for improvement, especially given the time-consuming and tedious nature of visual sleep scoring.