Results 11 to 20 of about 236,683 (245)
Pakistan Armed Forces Medical Journal, 2021 Objective: To compare the yield of interictal epileptiform discharges on prolonged (1-2 hours) electroencephalogram (EEG) as compared to standard routine (30 minutes) electroencephalogram (EEG). Study Design: Comparative observational study. Place
Saima Shafait +5 more
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IEEE Access, 2020 Electroencephalogram (EEG) extraction has widely used Stone's Blind Source Separation (Stone's BSS) algorithm. However, Stone's BSS algorithm is sensitive to the initial half-life (hlong, hshort) and weight vector W parameters, which affect the ...
Mohammed Ali Ahmed +2 more
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Frontiers in Neuroscience, 2023 IntroductionThe classification model of motor imagery-based electroencephalogram (MI-EEG) is a new human-computer interface pattern and a new neural rehabilitation assessment method for diseases such as Parkinson's and stroke.
Yuxuan Huang +7 more
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Coherence analysis: Methods, solutions and problems [PDF]
, 2008 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.A coherence function is a measure of the correlation of two signals and may be used as a measure for functional relationship between brain areas.
Irfan, Memon
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Measurement: Sensors, 2022 Nowadays, Electroencephalogram (EEG) signals are widely used in brain-computer interfaces (BCIs), including the identification of motor imagery (MI) activities and prostheses.
Pawan, Rohtash Dhiman
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Mirror Visual Feedback Combining Vibrotactile Stimulation Promotes Embodiment Perception: An Electroencephalogram (EEG) Pilot Study [PDF]
Frontiers in Bioengineering and Biotechnology, 2020 Wang Hewei, Shugeng Chen, Jiayuan He
exaly +2 more sources
Electroencephalogram changes in Autism Spectrum Disorder Patients at Zagazig University Pediatric Neurology Outpatient Clinic [PDF]
Zagazig University Medical Journal, 2023 Background: Electroencephalogram (EEG) changes have been recorded in Autism Spectrum Disorder (ASD) patients among hundreds of studies all over the world. Some may have stated EEG as a necessity in the ASD investigations.
Angi Alsharif +2 more
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Novel Early EEG Measures Predicting Brain Recovery after Cardiac Arrest
Entropy, 2017 In this paper, we propose novel quantitative electroencephalogram (qEEG) measures by exploiting three critical and distinct phases (isoelectric, fast progression, and slow progression) of qEEG time evolution.
Kab-Mun Cha +2 more
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A statistical technique for measuring synchronism between cortical regions in the EEG during rhythmic stimulation [PDF]
, 2001 The coherence function has been widely applied in quantifying the degree of synchronism between electroencephalogram (EEG) signals obtained from different brain regions.
Miranda de Sa, A.M.F.L. +2 more
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A Deep Learning Model for Stroke Patients’ Motor Function Prediction
Applied Bionics and Biomechanics, 2022 Deep learning models are effectively employed to transfer learning to adopt learning from other areas. This research utilizes several neural structures to interpret the electroencephalogram images (EEG) of brain-injured cases to plan operative imagery ...
Abeer Abdulaziz AlArfaj +2 more
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