Literature DB >> 199805

Stationarity of the human electroendephalogram.

B A Cohen, A Sances.   

Abstract

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Year:  1977        PMID: 199805     DOI: 10.1007/bf02442278

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


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  8 in total

1.  PERIOD ANALYSIS OF THE ELECTROENCEPHALOGRAM ON A GENERAL-PURPOSE DIGITAL COMPUTER.

Authors:  N R BURCH; W J NETTLETON; J SWEENEY; R J EDWARDS
Journal:  Ann N Y Acad Sci       Date:  1964-07-31       Impact factor: 5.691

2.  Modeling the stationarity and Gaussianity of spontaneous electroencephalographic activity.

Authors:  J A McEwen; G B Anderson
Journal:  IEEE Trans Biomed Eng       Date:  1975-09       Impact factor: 4.538

3.  Clinical applications of spectral analysis and extraction of features from electroencephalograms with slow waves in adult patients.

Authors:  J Gotman; D R Skuce; C J Thompson; P Gloor; J R Ives; W F Ray
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1973-09

4.  A nonstationary analysis of the electroencephalogram.

Authors:  N Kawabata
Journal:  IEEE Trans Biomed Eng       Date:  1973-11       Impact factor: 4.538

5.  Ensemble characteristics of the human visual evoked response: periodic and random stimulation.

Authors:  D G Childers; T C Doyle; A G Brinck; N W Perry
Journal:  IEEE Trans Biomed Eng       Date:  1972-11       Impact factor: 4.538

6.  Some statistical properties of the visual evoked potential in man and their application as a criterion of normality.

Authors:  J R Bennett; J S MacDonald; S M Drance; K Uenoyama
Journal:  IEEE Trans Biomed Eng       Date:  1971-01       Impact factor: 4.538

7.  A new technique for the analysis of EEG by computer.

Authors:  E M Dewan
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1970-10

8.  Quantification of computer analyzed serial EEGs from stroke patients.

Authors:  B A Cohen; E J Bravo-Fernandez; A Sances
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1976-10
  8 in total
  13 in total

1.  New method of automated sleep quantification.

Authors:  S Roberts; L Tarassenko
Journal:  Med Biol Eng Comput       Date:  1992-09       Impact factor: 2.602

2.  Enhanced period-peak analysis of electro-encephalograms using a fast sinc function.

Authors:  M Ferdjallah; R E Barr
Journal:  Med Biol Eng Comput       Date:  1996-11       Impact factor: 2.602

3.  Non-stationarity of EEG during wakefulness and anaesthesia: advantages of EEG permutation entropy monitoring.

Authors:  Matthias Kreuzer; Eberhard F Kochs; Gerhard Schneider; Denis Jordan
Journal:  J Clin Monit Comput       Date:  2014-01-18       Impact factor: 2.502

4.  Stationarity of the somatosensory evoked potential.

Authors:  J B Myklebust; A Sances; J F Cusick; R H Friedman; S J Larson; B A Cohen
Journal:  Med Biol Eng Comput       Date:  1984-11       Impact factor: 2.602

5.  Atrophy and lower regional perfusion of temporo-parietal brain areas are correlated with impairment in memory performances and increase of EEG upper alpha power in prodromal Alzheimer's disease.

Authors:  Vito Davide Moretti
Journal:  Am J Neurodegener Dis       Date:  2015-09-10

6.  Prediction of Nociceptive Responses during Sedation by Linear and Non-Linear Measures of EEG Signals in High Frequencies.

Authors:  Umberto Melia; Montserrat Vallverdú; Xavier Borrat; Jose Fernando Valencia; Mathieu Jospin; Erik Weber Jensen; Pedro Gambus; Pere Caminal
Journal:  PLoS One       Date:  2015-04-22       Impact factor: 3.240

7.  Analysis of grey matter in thalamus and basal ganglia based on EEG α3/α2 frequency ratio reveals specific changes in subjects with mild cognitive impairment.

Authors:  Davide V Moretti; Donata Paternicò; Giuliano Binetti; Orazio Zanetti; Giovanni B Frisoni
Journal:  ASN Neuro       Date:  2012-12-14       Impact factor: 4.146

Review 8.  Mild Cognitive Impairment: Structural, Metabolical, and Neurophysiological Evidence of a Novel EEG Biomarker.

Authors:  Davide Vito Moretti
Journal:  Front Neurol       Date:  2015-07-06       Impact factor: 4.003

9.  EEG upper/low alpha frequency power ratio relates to temporo-parietal brain atrophy and memory performances in mild cognitive impairment.

Authors:  Davide V Moretti; Donata Paternicò; Giuliano Binetti; Orazio Zanetti; Giovanni B Frisoni
Journal:  Front Aging Neurosci       Date:  2013-10-25       Impact factor: 5.750

10.  Association of EEG, MRI, and regional blood flow biomarkers is predictive of prodromal Alzheimer's disease.

Authors:  Davide Vito Moretti
Journal:  Neuropsychiatr Dis Treat       Date:  2015-10-27       Impact factor: 2.570

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