Results 251 to 260 of about 3,887,920 (279)
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International Journal of Neural Systems, 2020
Olfactory-induced electroencephalogram (EEG) signal classification is of great significance in a variety of fields, such as disorder treatment, neuroscience research, multimedia applications and brain-computer interface.
Hui-Rang Hou +2 more
semanticscholar +1 more source
Olfactory-induced electroencephalogram (EEG) signal classification is of great significance in a variety of fields, such as disorder treatment, neuroscience research, multimedia applications and brain-computer interface.
Hui-Rang Hou +2 more
semanticscholar +1 more source
Ensemble Learning Approach to Motor Imagery EEG Signal Classification
Machine Learning in Bio-Signal Analysis and Diagnostic Imaging, 2019Brain-computer interface (BCI) is an alternative communication pathway between the human brain and computer system without involving any muscles or actual motor neuron activities.
Rajdeep Chatterjee +2 more
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Medical Hypotheses, 2019
Electroencephalography (EEG) signals have been widely used to diagnose brain diseases for instance epilepsy, Parkinson's Disease (PD), Multiple Skleroz (MS), and many machine learning methods have been proposed to develop automated disease diagnosis ...
Emrah Aydemir +2 more
semanticscholar +1 more source
Electroencephalography (EEG) signals have been widely used to diagnose brain diseases for instance epilepsy, Parkinson's Disease (PD), Multiple Skleroz (MS), and many machine learning methods have been proposed to develop automated disease diagnosis ...
Emrah Aydemir +2 more
semanticscholar +1 more source
EEG Signal Classification Method Based on Feature Priority Analysis and CNN
2019 International Conference on Communications, Information System and Computer Engineering (CISCE), 2019In recent years, with the advancement of technology, more and more people with disabilities use prosthetic limbs to compensate for the function of normal upper limbs, so the demand for the upper limb movement recognition has increased.
Sheng Li, Hanxin Feng
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EEG signal classification using improved intuitionistic fuzzy twin support vector machines
Neural computing & applications (Print), 2022M. A. Ganaie +3 more
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EEG signal classification via pinball universum twin support vector machine
Annals of Operations Research, 2022M. A. Ganaie, M. Tanveer, Jatin Jangir
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EEG signal classification using wavelet feature extraction and a mixture of expert model
Expert systems with applications, 2007A. Subasi
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EEG signal classification using PCA, ICA, LDA and support vector machines
Expert systems with applications, 2010A. Subasi, M. I. Gursoy
semanticscholar +1 more source
Signal, Image and Video Processing, 2021
Min-Min Miao, Wenjun Hu, Wen-Bin Zhang
semanticscholar +1 more source
Min-Min Miao, Wenjun Hu, Wen-Bin Zhang
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