Automated analysis of the electrical activity of the human brain (EEG): A progress report

Gevins, Alan; Yeager, Charles L.; Diamond, Stephen L.; Spire, Jean-Paul; Zeitlin, G.M; Gevins, A.H.

doi:10.1109/proc.1975.9966

Cited by 78 publications

(19 citation statements)

References 89 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Neuroscience methods for studying experience rely on psychophysiological systems that record metabolic and electrical signals from the body (Gevins et al 1975, Wubbels et al 2007). The majority of these systems have advantages of being objective, unobtrusive and continuous, allowing for signals to be processed in real-time (Dirican & Göktürk 2011).…”

Section: Approaches To Studying Experiencementioning

confidence: 99%

Neurophenomenology: an integrated approach to exploring awe and wonder¹

Reinerman-Jones

Sollins

Gallagher

et al. 2013

South African Journal of Philosophy

View full text Add to dashboard Cite

Astronauts often report experiences of awe and wonder while traveling in space. This paper addresses the question of whether awe and wonder can be scientifically investigated in a simulated space travel scenario using a neurophenomenological method. To answer this question, we created a mixed-reality simulation similar to the environment of the International Space Station. Portals opened to display simulations of Earth or Deep Space. However, the challenge still remained of how to best capture the resulting experience of participants. We could use psychological methods, neuroscientific methods or philosophical methods. Each of these approaches offer many benefits, but each is also limited. Neurophenomenology capitalises on and integrates all three methods. We employed questionnaires from psychology, electroencephalography, electrocardiography, and functional near-infrared spectroscopy from neuroscience, and a phenomenological interview technique from philosophy. This neurophenomenological method enabled extensive insight in experiencers and non-experiencers of awe and wonder (AW) in a simulated space scenario that otherwise would not have been possible. Traditional empirical analyses were completed, followed by individual differences analyses using interview transcriptions paired with physiological responses. Experiencers of AW showed differences in theta and beta activity throughout the brain compared to non-experiencers. Questionnaires indicated that non-experiencers of AW gave more positive responses of religious and spiritual practices than experiencers of AW. Interviews showed that awe and wonder were more likely to occur when watching the simulated Earth view instead of the Deep Space view. Our study is a successful example of neurophenomenology, a powerful and promising interdisciplinary approach for future studies of complex states of experience. BackgroundHouston, we are ready for launch. Ten, nine, eight, seven, six, five, four, three, two, one. Lift-off! Reading this sequence brings to mind a variety of feelings or experiences. However, research

show abstract

Section: Approaches To Studying Experiencementioning

confidence: 99%

Neurophenomenology: an integrated approach to exploring awe and wonder¹

Reinerman-Jones

Sollins

Gallagher

et al. 2013

South African Journal of Philosophy

View full text Add to dashboard Cite

show abstract

“…In previous work in our laboratory, we have developed and objectively evaluated several generations of automatic artifact detection algorithms. These include multi-criteria spectral detectors (Gevins et al 1975(Gevins et al , 1977, sharp transient waveform detectors (Gevins et al 1976), and detectors using neural networks (Gevins andMorgan 1986, 1988). We have found that our most recent generations of detection algorithms perform about as well as the consensus of expert human judges.…”

Section: Brain Signals Sensitive To Variations In Mental Effortmentioning

confidence: 99%

Neurophysiological measures of cognitive workload during human-computer interaction

Gevins

Smith

2003

Theoretical Issues in Ergonomics Science

331

253

View full text Add to dashboard Cite

Perhaps the most basic issue in the study of cognitive workload is the problem of how to actually measure it. The electroencephalogram (EEG) continues to be the clinical method of choice for monitoring brain function in assessing sleep disorders, level of anaesthesia and epilepsy. This preference reflects the EEG's high sensitivity to variations in alertness and attention, the unimposing conditions under which it can be recorded, and the low cost of the technology it requires. These characteristics also suggest that EEG-based monitoring methods might provide a useful tool in ergonomics. This paper reviews a long-term programme of research aimed at developing cognitive workload monitoring methods based on EEG measures. This research programme began with basic studies of the way neuroelectric signals change in response to highly controlled variations in task demands. The results yielded from such studies provided a basis on which to develop appropriate signal processing methodologies to automatically differentiate mental effort-related changes in brain activity from artifactual contaminants and for gauging relative magnitudes of mental effort in different task conditions. These methods were then evaluated in the context of more naturalistic computerbased work. The results obtained from these studies provide initial evidence for the scientific and technical feasibility of using EEG-based methods for monitoring cognitive load during human-computer interaction.

show abstract

“…A fast Fourier transform (FFT) was performed on-line on nonoverlapping, 2-second EEG epochs [Gevins et al, 1975[Gevins et al, , 1979, after subtracting any nonzero mean and applying a cosine taper. Eight successive 2-second periodograms were averaged to form estimates of spectral intensity, and were dis played on-line as a means of monitoring the quality of recordings.…”

Section: Analysis Proceduresmentioning

confidence: 99%

Differentiating the Effects of Three Benzodiazepines on Non-REM Sleep EEG Spectra

Gevins¹,

Stone²,

Ragsdale³

1988

Neuropsychobiology

View full text Add to dashboard Cite

Neural-network pattern classifiers were used to study the effects of long half-life flurazepam (30 mg) and quazepam (15 mg), and short half-life triazolam (0.5 mg) on non-REM sleep. We measured the magnitude of effect, time course, and EEG spectral signature of the three benzodiazepines as a function of third-of-night. Of the three benzodiazepines studied, flurazepam had the largest effect and quazepam had the most stable time course. The effects of triazolam were similar to those of quazepam. These EEG differences may prove to be more clinically useful markers than the usual measurement of plasma levels, and may be used to guide the therapy of sleep disorders.

show abstract

Automated analysis of the electrical activity of the human brain (EEG): A progress report

Cited by 78 publications

References 89 publications

Neurophenomenology: an integrated approach to exploring awe and wonder¹

Neurophenomenology: an integrated approach to exploring awe and wonder¹

Neurophysiological measures of cognitive workload during human-computer interaction

Differentiating the Effects of Three Benzodiazepines on Non-REM Sleep EEG Spectra

Contact Info

Product

Resources

About

Automated analysis of the electrical activity of the human brain (EEG): A progress report

Cited by 78 publications

References 89 publications

Neurophenomenology: an integrated approach to exploring awe and wonder1

Neurophenomenology: an integrated approach to exploring awe and wonder1

Neurophysiological measures of cognitive workload during human-computer interaction

Differentiating the Effects of Three Benzodiazepines on Non-REM Sleep EEG Spectra

Contact Info

Product

Resources

About

Neurophenomenology: an integrated approach to exploring awe and wonder¹

Neurophenomenology: an integrated approach to exploring awe and wonder¹