[Statistical EEG detection of subjects with intracranial tumors. Study of a sample of 40 quantified recordings].
Spectral analysis of 16 channel EEG recordings was applied to 40 normal subjects (N) and 40 patients with supratentorial intracranial tumor (T). A set of 22 spectral parameters was computed from each lead. This study tries to evaluate if univariate and multivariate scoring techniques of quantified EEG data can achieve good separation of the two groups. A reference profile of data is derived from the standardized data of the group N. The 40 patients as well as the 40 normal subjects are compared to the reference data profile. Scorings from 264 univariate features do not separate the two groups. Scorings from a smaller number of multivariate features proved to be more powerful and distinguished 90% of patients. Badly classified subjects are discussed.
Dolisi
C
C
Service d'Explorations Fonctionnelles du Système Nerveux, CHRU de Nice, France.
Suisse
G
G
Delpont
E
E
Grellier
P
P
Roche
J L
JL
D000328:Adult; D000368:Aged; D001932:Brain Neoplasms / Q000175:diagnosis*; D004569:Electroencephalography; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged
Détection statistique des EEG de sujets porteurs d'une tumeur intracrânienne. Etude sur un échantillon de 40 enregistrements quantifiés.