Sessions Details
EEG/MEG signal processing for Brain Computer Interfaces: Neurological Disorder Diagnosis and convalescing techniques
Dr. Tharun Kumar Reddy Bollu
IIT Roorkee, India
Dr. Ramana Vinjamuri
UMBC, USA
Introduction:
Electroencephalography (EEG)/ Magnetoencephalography (MEG) is a non-invasive method that records the electrical activity in the brain, providing critical insights into neurological disorders and their treatment. EEG is widely employed in diagnosing and monitoring conditions such as Epilepsy, Alzheimer's, Dementia, Depression, Parkinson’s, Schizophrenia, and brain injuries, thanks to its ability to detect abnormal brainwave patterns indicative of these disorders. Moreover, it plays a pivotal role in developing personalized treatment strategies, aiding in neurofeedback therapies for rehabilitation, brain-computer interfaces, and research on brain function. EEG continues to be an invaluable tool in both diagnosis and convalescent techniques, offering hope for improved quality of life for those affected by neurological disorders.
Call for Participation:
Extended abstracts are invited for these special areas in topics such as (but not limited to):
- 1. Automated neurological disorders detection using EEG/ MEG Modalities.
- 2. Neurological biomarker identification for mental health screening
- 3. Neurological biomarker identification for mental health screening
- 4. Role of EEG/ MEG in post-neurological disorders rehabilitation.
- 5. Other relevant neurological disorder topics.
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