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4. The importance of topographic data in EEG phenomena, and an electrical model to reproduce them. Rémond A Electroencephalogr Clin Neurophysiol; 1968; ():Suppl 27:29+. PubMed ID: 4184011 [No Abstract] [Full Text] [Related]
5. [Significance of some parameters of the auto- and cross correlation functions of the EEG for characterizing the functional condition of the CNS in schizophrenia]. Titaeva MA; Voĭtenko GA; Koniukova GP Nov Med Priborostr; 1969; 1():90-9. PubMed ID: 5405428 [No Abstract] [Full Text] [Related]
6. A statistical method for automatic analysis of EEG data. Ferro-Milone F; Viviani P; Lorizio A; Denoth F Electroencephalogr Clin Neurophysiol; 1969 Jul; 27(1):98. PubMed ID: 4182908 [No Abstract] [Full Text] [Related]
7. On the application of the statistical amplitude analyser, ASA, in quantitative EEG. Drohocki ZA Electroencephalogr Clin Neurophysiol; 1971 Mar; 30(3):261. PubMed ID: 4103199 [No Abstract] [Full Text] [Related]
8. [Some indices of correlation functions for normal human electroencephalograms]. Zhirmunskaia EA; Voĭtenko GA; Koniukhova GP Nov Med Priborostr; 1969; 1():73-82. PubMed ID: 5405425 [No Abstract] [Full Text] [Related]
9. [Bioluminescence of bacteria--a rhythmic process]. Berzhanskaia LIu; Gitel'zon II; Fish AM; Chumakova RI; Shapiro VE Biofizika; 1973; 18(2):285-92. PubMed ID: 4701438 [No Abstract] [Full Text] [Related]
10. [Study of the interrelations of the sensorimotor and visual regions of the cerebral cortex by the method of cross-correlation analysis]. Zhegalkina NG Nov Med Priborostr; 1967; 1():28-31. PubMed ID: 5633925 [No Abstract] [Full Text] [Related]
11. [A simple device for automatic analysis of the electroencephalogram (EEG)]. Romanov VD Fiziol Zh SSSR Im I M Sechenova; 1968 Oct; 54(10):1237-8. PubMed ID: 5735955 [No Abstract] [Full Text] [Related]
12. A spreadsheet application for processing long-term EEG recordings. Ayala M; Cabrerizo M; Tito M; Barreto A; Adjouadi M Comput Biol Med; 2009 Sep; 39(9):844-51. PubMed ID: 19643398 [TBL] [Abstract][Full Text] [Related]
13. [The practical applications of quantitative electroencephalography: modifications of the spontaneous variability of the EEG provoked by a brain neoplasm]. Drohocki Z Rev Neurol (Paris); 1967 Jul; 117(1):199-204. PubMed ID: 6063858 [No Abstract] [Full Text] [Related]
14. Automatic detection of slow wave sleep using two channel electro-oculography. Virkkala J; Hasan J; Värri A; Himanen SL; Müller K J Neurosci Methods; 2007 Feb; 160(1):171-7. PubMed ID: 16965823 [TBL] [Abstract][Full Text] [Related]
15. [Statistical material in electronic processing of laboratory data]. Borner K; Dulce HJ Dtsch Med J; 1971 May; 22(9):281-4. PubMed ID: 5578895 [No Abstract] [Full Text] [Related]
16. An automatic procedure for the analysis of electric and magnetic mismatch negativity based on anatomical brain mapping. Zvyagintsev M; Thönnessen H; Dammers J; Boers F; Mathiak K J Neurosci Methods; 2008 Mar; 168(2):325-33. PubMed ID: 18093661 [TBL] [Abstract][Full Text] [Related]
18. Attempt at automation of conventional EEG analysis. Gremy F; Goldberg P; Samson-Dollfus D Electroencephalogr Clin Neurophysiol; 1970 Jul; 29(1):102-3. PubMed ID: 4194030 [No Abstract] [Full Text] [Related]
19. Temporal order of nonlinear dynamics in human brain. Tirsch WS; Stude P; Scherb H; Keidel M Brain Res Brain Res Rev; 2004 May; 45(2):79-95. PubMed ID: 15145619 [TBL] [Abstract][Full Text] [Related]
20. The IFAST model, a novel parallel nonlinear EEG analysis technique, distinguishes mild cognitive impairment and Alzheimer's disease patients with high degree of accuracy. Buscema M; Rossini P; Babiloni C; Grossi E Artif Intell Med; 2007 Jun; 40(2):127-41. PubMed ID: 17466496 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]