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6. Detection and evolution of rhythmic components in ictal EEG using short segment spectra and discriminant analysis. Hilfiker P; Egli M Electroencephalogr Clin Neurophysiol; 1992 Apr; 82(4):255-65. PubMed ID: 1372547 [TBL] [Abstract][Full Text] [Related]
7. Effect of epoch length on power spectrum analysis of the EEG. Levy WJ Anesthesiology; 1987 Apr; 66(4):489-95. PubMed ID: 3565814 [TBL] [Abstract][Full Text] [Related]
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11. [Automatic classification of sleep staging by autoregressive model of EEG]. Katano K; Ishii N; Iwata A; Suzumura N; Terashima M Iyodenshi To Seitai Kogaku; 1982 Apr; 20(2):73-9. PubMed ID: 7131904 [No Abstract] [Full Text] [Related]
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15. Analysis of rat EEG using autoregressive power spectra. Madhavan PG; Stephens BE; Klingberg D; Morzorati S J Neurosci Methods; 1991 Dec; 40(2-3):91-100. PubMed ID: 1800858 [TBL] [Abstract][Full Text] [Related]
16. Prediction of spike-wave bursts in absence epilepsy by EEG power-spectrum signals. Siegel A; Grady CL; Mirsky AF Epilepsia; 1982 Feb; 23(1):47-60. PubMed ID: 6799284 [TBL] [Abstract][Full Text] [Related]
17. A software system for syntactic analysis of the EEG. Bourne JR; Jagannathan V; Giese B; Ward JW Comput Programs Biomed; 1980 Jun; 11(3):190-200. PubMed ID: 7408459 [TBL] [Abstract][Full Text] [Related]
18. Spectral analysis vs. period-amplitude analysis of narrowband EEG activity: a comparison based on the sleep delta-frequency band. Ktonas PY; Gosalia AP Sleep; 1981; 4(2):193-206. PubMed ID: 7256080 [TBL] [Abstract][Full Text] [Related]
19. [Partial autocorrelation function as a suitable description of basic EEG activity for use in classification procedures]. Gundel A EEG EMG Z Elektroenzephalogr Elektromyogr Verwandte Geb; 1983 Sep; 14(3):121-7. PubMed ID: 6414800 [TBL] [Abstract][Full Text] [Related]
20. Visual evaluation and computer analysis of the EEG--a comparison. Isaksson A; Wennberg A Electroencephalogr Clin Neurophysiol; 1975 Jan; 38(1):79-86. PubMed ID: 45906 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]