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2. 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]
3. Adaptive segmentation of EEG records: a new approach to automatic EEG analysis. Praetorius HM; Bodenstein G; Creutzfeldt OD Electroencephalogr Clin Neurophysiol; 1977 Jan; 42(1):84-94. PubMed ID: 64352 [TBL] [Abstract][Full Text] [Related]
4. Identification and labeling of EEG graphic elements using autoregressive spectral estimates. Jansen BH; Bourne JR; Ward JW Comput Biol Med; 1982; 12(2):97-106. PubMed ID: 7105667 [TBL] [Abstract][Full Text] [Related]
5. 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]
6. [An automated study of EEG: a method of detection of non-stationary points]. Vachon B; Dubuisson B; Samson-Dollfus D Int J Biomed Comput; 1978 Mar; 9(2):147-62. PubMed ID: 738801 [TBL] [Abstract][Full Text] [Related]
7. An EEG simulator-a means of objective clinical interpretation of EEG. Isaksson A; Wennberg A Electroencephalogr Clin Neurophysiol; 1975 Oct; 39(4):313-20. PubMed ID: 51714 [TBL] [Abstract][Full Text] [Related]
8. Autoregressive estimation of short segment spectra for computerized EEG analysis. Jansen BH; Bourne JR; Ward JW IEEE Trans Biomed Eng; 1981 Sep; 28(9):630-8. PubMed ID: 7319522 [No Abstract] [Full Text] [Related]
10. [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]
11. [Data display and reduction in computer-assisted EEG analysis in the time domain]. Spiel G; Kundi M; Benninger F EEG EMG Z Elektroenzephalogr Elektromyogr Verwandte Geb; 1986 Mar; 17(1):2-6. PubMed ID: 3084199 [TBL] [Abstract][Full Text] [Related]
12. Automatic EEG analysis: a segmentation procedure based on the autocorrelation function. Michael D; Houchin J Electroencephalogr Clin Neurophysiol; 1979 Feb; 46(2):232-5. PubMed ID: 86433 [TBL] [Abstract][Full Text] [Related]
13. Frequency dependence of the transmission of the EEG from cortex to scalp. Pfurtscheller G; Cooper R Electroencephalogr Clin Neurophysiol; 1975 Jan; 38(1):93-6. PubMed ID: 45909 [TBL] [Abstract][Full Text] [Related]
14. [Primary analysis of the human EEG ON A SMALL DIGITAL COMputer]. Nikiforov AI; Bochkarev VK Zh Nevropatol Psikhiatr Im S S Korsakova; 1974; 74(2):288-90. PubMed ID: 4619272 [No Abstract] [Full Text] [Related]
15. Selection of optimal AR spectral estimation method for EEG signals using Cramer-Rao bound. Subasi A Comput Biol Med; 2007 Feb; 37(2):183-94. PubMed ID: 16476421 [TBL] [Abstract][Full Text] [Related]
17. A spectral method for removing eye movement artifacts from the EEG. Whitton JL; Lue F; Moldofsky H Electroencephalogr Clin Neurophysiol; 1978 Jun; 44(6):735-41. PubMed ID: 78802 [TBL] [Abstract][Full Text] [Related]
18. Parameter estimation of power spectra using Gaussian functions. Kingma YJ; Pronk CN; Sparreboom D Comput Biomed Res; 1976 Dec; 9(6):591-9. PubMed ID: 1000970 [No Abstract] [Full Text] [Related]
19. Some comments on the use of an EEG autoregressive model for the time-saving calculation of spectral power density distributions with a digital computer. Kleiner B Electroencephalogr Clin Neurophysiol; 1973 Sep; 35(3):331-2. PubMed ID: 4126185 [No Abstract] [Full Text] [Related]