The combined technique for detection of artifacts in clinical electroencephalograms of sleeping newborns.

The combined technique for detection of artifacts in clinical electroencephalograms of sleeping newborns.

In this paper, we describe a new method combining the polynomial neural network and decision tree techniques in order to derive comprehensible classification rules from clinical electroencephalograms (EEGs) recorded from sleeping newborns. These EEGs are heavily corrupted by cardiac, eye movement, m...

全面介紹

書目詳細資料
發表在:IEEE Transactions on information technology in biomedicine 8, 1 (2004).
主要作者: Schetinin, V.
格式: Article
語言:English
主題:
Artifacts detection.
Cardiac.
Classification rules.
Clinical electroencephalograms.
Decision tree techniques.
Eye movement.
Feature evaluation.
Feature selection.
Machine learning technique.
Mining algorithms.
Mining methods.
Muscle.
Noise artifacts.
Polynomial neural network.
Sleeping newborns.