Open AccessTHE CLASSIFICATION OF FUNCTIONAL DISORDERS OF BRAIN ACTIVITY IN PATIENTS WITH BRAIN TUMORS
Author(s) -
Voronina Ia,
Voronov Vg
Publication year - 2012
Publication title -
vestnik rossijskoj akademii medicinskih nauk
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.122
H-Index - 15
eISSN - 2414-3545
pISSN - 0869-6047
DOI - 10.15690/vramn.v67i4.198
Subject(s) - classification scheme , abnormality , brain activity and meditation , set (abstract data type) , brain tumor , electroencephalography , psychology , medicine , computer science , artificial intelligence , natural language processing , neuroscience , machine learning , pathology , psychiatry , programming language
This paper is devoted to the automatic classification of functional disorders of brain activity in patients with brain tumors on the basis of the reference groups. The test of statistical hypotheses set made crisp classification. Functional activity of the brain abnormality is assessed indicators of the frequency spectrum of the EEG. We describe the scheme of the algorithm and an analysis of the results. The publication is intended for IT-professionals and clinicians who are actively applying them in their work.