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Wavelet based filters for artifact elimination in electroencephalography signal: A review
Published 2022“…Electroencephalography (EEG) is a diagnostic test that records and measures the electrical activity of the human brain. …”
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2
Background auditory stimuli effect on memorizing tasks performance based on electroencephalography
Published 2016“…Brain signal was recorded during memorization duration using 10-20 electrode placement system of electroencephalography (EEG) machine. EEG is a neurological test for measuring and recording the electrical activity of the brain. …”
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3
Effect of audiovisual stimulation on adult memory performance based electroencephalography wavelet analysis
Published 2022“…This research investigates the effect of audiovisual stimulation on adult memory based on electroencephalography (EEG) analysis. Sixty college students are participating in this experimental study. …”
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4
Features of brain rhythms during the visual memorizing task and auditory stimuli using electroencephalography
Published 2022“…Introduction: Brain rhythms are usually measured using electroencephalography (EEG) to detect changes in neuronal activity associated with specific human activity and behavior. …”
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5
Safe-level SMOTE method for handling the class imbalanced problem in electroencephalography dataset of adult anxious state
Published 2023“…Measuring brain signals using the electroencephalography (EEG) modality is one of the ways to detect anxiety. …”
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Decomposition level comparison of stationary wavelet transform filter for visual task electroencephalogram
Published 2015“…Many modalities such as medical resonance imaging (MRI), computerized tomography (CT), positron emission tomography (PET), electroencephalography (EEG) and etc. has been invented. However, between this modality the electroencephalography widely chosen by researchers due to it is low cost, non-invasive techniques, and safely use. …”
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Artifact removal and brain rhythm decomposition for eeg signal using wavelet approach
Published 2016“…This recent study introduces and discusses briefly the use of wavelet approach in removing the artifacts and extraction of features for electroencephalography (EEG) signal. Many of new approaches have been discovered by the researcher for processing the EEG signal. …”
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Denoising semi-simulated EEG signal contaminated ocular noise using various wavelet filters
Published 2022“…Denoising is crucial in electroencephalography (EEG) processing to remove undesired components contaminated in a signal. …”
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Denoising semi-simulated EEG signal contaminated ocular noise using various wavelet filters
Published 2022“…Denoising is crucial in electroencephalography (EEG) processing to remove undesired components contaminated in a signal. …”
Conference or Workshop Item -
10
Electroencephalogram pattern under exposure of audio stimulation and verbal memory assessment
Published 2022“…This recent work aims to investigate brain activities using electroencephalography (EEG) under audio and verbal memory assessment stimulation. …”
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Article