Advanced Electroencephalography Analytical Methods
portes grátis
Advanced Electroencephalography Analytical Methods
Fundamentals, Acquisition, and Applications
Gargiulo, Gaetano; Naik, Ganesh; Santos, Wellington Pinheiro dos
Taylor & Francis Ltd
12/2024
268
Dura
9781032171708
Pré-lançamento - envio 15 a 20 dias após a sua edição
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1. Diagnostic applications of EEG signal patterns in Neuroscience. 2. Deep Learning Techniques for Automatic Sleep Pattern Identification and Disorder Evaluation using EEG Signals. 3. Recent Trends in EEG-Based MI and SSVEP Brain-Computer Interface Applications - A Review. 4. Recent Trends in EEG-Based P300, Neuromarketing and E-sports Brain-Computer Interface Applications - A Review. 5. Significance of Fourier Transform for Epileptic EEG Signals Analysis. 6. Alternative treatment with nonperiodic acoustic stimulation for pharmacoresistant epileptic patients: an exploratory study. 7. Artifacts removal in Electroencephalogram (EEG) signals. 8. Multi-channel and multi-label decision-making system (MCL-DMS) for sleep stage and sleep disorder recognition from EEG signals. 9. Analyzing and Decoding Natural Reach & Grasp Action Using Convolutional Neural Network. 10. Classification of motor imagery EEG signals based on sparse representations of Empirical Mode Decomposition features. 11. Prediction of Onset of Seizures from EEG signals using ML Techniques.
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Neurophysiology;Machine Learning;Big Data;Epilepsy;Neuroscience;post-processing;Pre-processing;Acquisitions
1. Diagnostic applications of EEG signal patterns in Neuroscience. 2. Deep Learning Techniques for Automatic Sleep Pattern Identification and Disorder Evaluation using EEG Signals. 3. Recent Trends in EEG-Based MI and SSVEP Brain-Computer Interface Applications - A Review. 4. Recent Trends in EEG-Based P300, Neuromarketing and E-sports Brain-Computer Interface Applications - A Review. 5. Significance of Fourier Transform for Epileptic EEG Signals Analysis. 6. Alternative treatment with nonperiodic acoustic stimulation for pharmacoresistant epileptic patients: an exploratory study. 7. Artifacts removal in Electroencephalogram (EEG) signals. 8. Multi-channel and multi-label decision-making system (MCL-DMS) for sleep stage and sleep disorder recognition from EEG signals. 9. Analyzing and Decoding Natural Reach & Grasp Action Using Convolutional Neural Network. 10. Classification of motor imagery EEG signals based on sparse representations of Empirical Mode Decomposition features. 11. Prediction of Onset of Seizures from EEG signals using ML Techniques.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
