Kanishk1420/EEG-Signal-Processing
This project implements a real-time EEG (Electroencephalogram) signal processing and visualization system with epileptic seizure detection capabilities. The system combines machine learning for seizure detection with an interactive web interface for real-time signal monitoring and analysis.
This system helps neurologists, researchers, and medical professionals monitor brain activity in real-time. It takes raw EEG signals and displays them, breaking them down into different frequency bands. The system then automatically identifies potential epileptic seizure activity, providing a clear visual and an alert.
No commits in the last 6 months.
Use this if you need a visual tool to monitor EEG signals, analyze brainwave frequency components, and automatically detect epileptic seizures as they happen.
Not ideal if you need to connect directly to EEG hardware, perform advanced historical data analysis, or require a system with user authentication and custom alert thresholds.
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8
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Language
Jupyter Notebook
License
MIT
Category
Last pushed
Aug 04, 2025
Commits (30d)
0
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