Computational Intelligence Techniques in Diagnosis of Brain Diseases
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Beschreibung
This book highlights a new biomedical signal processing method of extracting a specific underlying signal from possibly noisy multi-channel recordings, and shows that the method is suitable for extracting independent components from the measured electroencephalogram (EEG) signal. The system efficiently extracts memory spindles and is also effective in Alzheimer seizures. Current developments in computer hardware and signal processing have made it possible for EEG signals or “brain waves” to communicate between humans and computers – an area that can be extended for use in this domain.
Autor*in
Sasikumar Gurumoorthy
Themen in »Computational Intelligence Techniques in Diagnosis of Brain Diseases«
Epilepsy Captures Artificial Neural Networks (ANN) Electroencephalogram (EEG) Alzheimer’s Disease Back Propagation Network (BPN) Mean Relative Error (MRE) Support Vector Machine (SVM) Noisy Multi-channel Recordings Brain Waves Human Computer Interaction