Head-Specific Spatial Spectra of Electroencephalography Explained: A Sphara and BEM Investigation. [PDF]
Biosensors (Basel)Graichen U +4 more
europepmc +1 more source
An interpretable XAI deep EEG model for schizophrenia diagnosis using feature selection and attention mechanisms. [PDF]
Front OncolAlmadhor A +6 more
europepmc +1 more source
Enhancing EEG-Based Emotion Detection with Hybrid Models: Insights from DEAP Dataset Applications. [PDF]
Sensors (Basel)Mouazen B +4 more
europepmc +1 more source
Workload Assessment in Flight using Dense Array Eeg
2006 ieee/aiaa 25TH Digital Avionics Systems Conference, 2006 As cockpit technologies advance and increase information-rich content is provided to aircrews, and it is possible that we are reaching the cognitive limits of the human operator. With additional layers of automation, crew alertness becomes equally important as high levels of workload.
Tom Schnell +3 more
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Dense array EEG: Methodology and new hypothesis on epilepsy syndromes
Epilepsia, 2008 Summary Dense array EEG is a method of recording electroencephalography (EEG) with many more electrodes (up to 256) than is utilized with standard techniques that typically employ 19–21 scalp electrodes. The rationale for this approach is to enhance the spatial resolution of scalp EEG.
Mark Holmes
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WS1.9. Advances in EEG Analysis – Wide-Band EEG, Dense-Array EEG and Quantitative EEG
Clinical Neurophysiology, 2021 1) Wide-band EEG As the faster frequency extreme of wide-band EEG, high frequency oscillation (HFO) was originally described by means of 1) micro-electrode recording in animal model, and ictal HFO occurred before clinical onset. Recently, 2 more types of HFO were well described; 2) invasive electrodes recording in epilepsy surgery (macro-invasive ...
Akio Ikeda
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COMPLEXITY ANALYSIS OF DENSE ARRAY EEG SIGNAL REVEALS SEX DIFFERENCE
International Journal of Neuroscience, 2005 This article deals with the complexity aspects of the recorded electroencephalogram (EEG) signal from male and female subjects. The analysis follows direct application of time series measures of global linear complexity and characterization of the embedded complexity in the signals using the nonlinear statistic of approximate entropy. The study reveals
Pravitha Ramanand +2 more
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Geodesic photogrammetry for localizing sensor positions in dense-array EEG
Clinical Neurophysiology, 2005 An important goal for functional brain studies using EEG technology is to estimate the location of brain sources that produce the scalp-recorded signals. The accuracy of source estimates is dependent upon many variables, one of which is the accurate description of the scalp positions of the EEG sensors.
Gerald S. Russell +4 more
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Feasibility of blind source separation methods for the denoising of dense-array EEG
2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015 High-density electroencephalographic recordings have recently been proved to bring useful information during the pre-surgical evaluation of patients suffering from drug-resistant epilepsy. However, these recordings can be particularly obscured by noise and artifacts. This paper focuses on the denoising of dense-array EEG data (e.g.
Nasrin Taheri +6 more
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