Optimization of least squares support vector machine technique using genetic algorithm for electroencephalogram multi-dimensional signals
Human-computer intelligent interaction (HCII) is a rising field of science that aims to refine
and enhance the interaction between computer and human. Since emotion plays a vital role …
and enhance the interaction between computer and human. Since emotion plays a vital role …
EEG based brain state classification technique using support vector machine-a design approach
Brain Computer Interface is a good beneficial route for severely physically challenged
person who is underprivileged to communicate in conventional way or have lost their ability …
person who is underprivileged to communicate in conventional way or have lost their ability …
Classification of eeg signals under different mental tasks using wavelet transform and neural network with one step secant algorithm
D Upadhyay - … Journal of Scientific Engineering and Technology, 2013 - indianjournals.com
The ability to effectively classify electroencephalograms (EEG) is the foundation for building
usable Brain-Computer Interfaces. In this presented work EEG signals were used to extract …
usable Brain-Computer Interfaces. In this presented work EEG signals were used to extract …
[引用][C] A Survey on Emotion Recognition from EEG Signals for Autism Spectrum Disorder
N Mohanapriya, L Malathi, B Revathi - International Journal of Computer Applications, 2018
EEG analysis of neurodevelopmental disorders by integrating wavelet transform and visual analysis
Identifying neurodevelopmental disorders, ADHD, autism spectrum disorder, and other
disorders (eg, depression and mental health diseases), are important for planning …
disorders (eg, depression and mental health diseases), are important for planning …
Computer-aided diagnosis of autism spectrum disorder from EEG signals using deep learning with FAWT and multiscale permutation entropy features
Autism spectrum disorder (ASD), a neurodevelopment disorder, is characterized by
significant difficulties in social interaction and emerges as a major threat to children. Its …
significant difficulties in social interaction and emerges as a major threat to children. Its …
[PDF][PDF] Directions of autism diagnosis by electroencephalogram based brain computer interface: a review
EA Alsaggaf, SS Baaisharah - Life Science Journal, 2014 - academia.edu
Autism is a social development disorder that is a difficult task to diagnose by a medical
professional with support from physical, occupational and speech therapists. It is being …
professional with support from physical, occupational and speech therapists. It is being …
Classification of epileptic electroencephalograms signals using combining wavelet analysis and support vector machine
Y Wang - Journal of Medical Imaging and Health Informatics, 2018 - ingentaconnect.com
Epileptic Electroencephalograms signals (EEG signals) depict the electrical activities of
neurons and consist of many physiological and pathological information. EEG signals are …
neurons and consist of many physiological and pathological information. EEG signals are …
Wavelet transforms for feature engineering in EEG data processing: An application on Schizophrenia
B Gosala, PD Kapgate, P Jain, RN Chaurasia… - … Signal Processing and …, 2023 - Elsevier
Abstract Applying Artificial Intelligence (AI) in the healthcare domain is getting benefitted day
by day with the advancement of approaches, one of them being Bio-Signal analysis. In Bio …
by day with the advancement of approaches, one of them being Bio-Signal analysis. In Bio …
Feature generation of EEG data using wavelet analysis
CF Chesnutt - 2012 - ttu-ir.tdl.org
Wavelet analysis is a modern method of time-frequency analysis that can be used to analyze
EEG signals. There are several popular methods of generating wavelet-based features for …
EEG signals. There are several popular methods of generating wavelet-based features for …