title: [Recognition of the depth of tumor extent in the cerebral hemispheres by electroencephalographic signs using a computer].
abstract: To obtain electroencephalographic criteria for in-depth occurrence of supratentorial tumours the mathematical theory of image recognition has been used. A map of electroencephalographic signs has been drawn up and 182 patients were coded electroencephalographically. Six signs were obtained with the help of the linear minimax algorhythm and in constructing diagnostic combinations of sign gradations--20 syndromes were fixed with whose help it becomes possible to recognize the depth of the tumour occurrence. Both rules were applied in an examination sequence of 51 EEG. The reliability of the results is as high as 0.95.
mesh_terms: D000328:Adult; D001254:Astrocytoma / Q000175:diagnosis; D001932:Brain Neoplasms / Q000175:diagnosis*; D002540:Cerebral Cortex; D003936:Diagnosis, Computer-Assisted; D004569:Electroencephalography / Q000379:methods*; D005260:Female; D005625:Frontal Lobe; D005910:Glioma / Q000175:diagnosis; D006801:Humans; D008297:Male; D008579:Meningioma / Q000175:diagnosis; D008875:Middle Aged; D009778:Occipital Lobe
vernacular_title: Raspoznavanie glubiny raspolozheniia opukholeĭ bol'shikh polushariĭ golovnogo mozga po élektroéntsefalograficheskim priznakam s pomoshch'iu EVM