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A Novel Brain Connectivity-Powered Graph Signal Processing Approach for Automated Detection of Schizophrenia from Electroencephalogram Signals
Schizophrenia is a severe neural disorder that affects around 24 million individuals globally. In this context, Electroencephalogram (EEG)...
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Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: a review
The brain–computer interface (BCI) is an emerging technology that has the potential to revolutionize the world, with numerous applications ranging...
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Trends in Machine Learning and Electroencephalogram (EEG): A Review for Undergraduate Researchers
This paper presents a systematic literature review on Brain-Computer Interfaces (BCIs) in the context of Machine Learning. Our focus is on...
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A new hybrid approach for feature extraction and selection of electroencephalogram signals in case of person recognition
Electroencephalogram (EEG) signals are possible biomarkers for person recognition. Biometric systems use an interdisciplinary approach for improving...
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Feature Analysis of Electroencephalogram Signals Evoked by Machine Noise
Recently, people who have been working in mines for a long time are affected by the noises of high-power coal mining machines. The noises of machines...
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A deep multi-source adaptation transfer network for cross-subject electroencephalogram emotion recognition
In real-world application of affective brain–computer interface (aBCI), individual differences across subjects and non-stationary characteristics of...
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Significance of Dimensionality Reduction in CNN-Based Vowel Classification from Imagined Speech Using Electroencephalogram Signals
The work presented in this paper aims to show the effectiveness of dimensionality reduction in convolutional neural network (CNN) based vowel...
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Algorithm for Medical Diagnostic Support Using Machine and Deep Learning for Depressive Disorder Based on Electroencephalogram Readings
Depression is one of the most common mental disorders affecting 121 million people worldwide. Depression is more than a low mood and those who suffer...
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Efficient machine learning algorithm for electroencephalogram modeling in brain–computer interfaces
Brain–computer interfaces (BCIs) provide the measurement of the activities of central nervous systems, and they convert the activities into...
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PTCERE: personality-trait map** using cognitive-based emotion recognition from electroencephalogram signals
Human emotion recognition is a technique for identifying human emotions with respect to various aspects of human life, such as in decision-making,...
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Machine Learning Algorithms Based on the Classification of Motor Imagination Signals Acquired with an Electroencephalogram
Recent studies of brain-computer interface (BCI) have focused on the use of machine learning algorithms for the classification of brain signals....
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Improved performance on seizure detection in an automated electroencephalogram signal under evolution by extracting entropy feature
In recent years, enormous people in all age category were affected with epilepsy throughout the world. To detect and evaluate the epilepsy seizure,...
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A Study for Evaluations of Automobile Digital Dashboard Layouts Based on Cognition Electroencephalogram
Electroencephalogram (EEG) performed an increasingly important role in user experience research. The study applied P300, one of the main components...
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Methods for inferring neural circuit interactions and neuromodulation from local field potential and electroencephalogram measures
Electrical recordings of neural mass activity, such as local field potentials (LFPs) and electroencephalograms (EEGs), have been instrumental in...
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Classification of Extraversion and Introversion Personality Trait Using Electroencephalogram Signals
Conventional methods for assessing personality include individual feedback questionnaires and personality assessment through social networking...
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Automated epilepsy detection techniques from electroencephalogram signals: a review study
Epilepsy is a serious neurological condition which contemplates as top 5 reasons for avoidable mortality from ages 5–29 in the worldwide. The...
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Hypersphere - XR Design for Metaverse by Synthesizing Neuro Reality and Virtual Reality
We design a product concept named Hypersphere - an XR wearable that integrates neuro reality and virtual reality based on electroencephalogram (EEG)...
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Digital Processing Algorithms of Biomedical Signals Using Cubic Base Splines
In this article, the issues of digital processing and restoration of electroencephalogram (EEG) signals from biomedical signals are considered, the...