THE CLASSIFICATION OF FUNCTIONAL DISORDERS OF BRAIN ACTIVITY IN PATIENTS WITH BRAIN TUMORS | Zendy

I A Voronina | Zendy; В. Г. Воронов | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

THE CLASSIFICATION OF FUNCTIONAL DISORDERS OF BRAIN ACTIVITY IN PATIENTS WITH BRAIN TUMORS

Author(s) -

I A Voronina,

В. Г. Воронов

Publication year - 2012

Publication title -

annals of the russian academy of medical sciences

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research