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--- |
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title: EEG Mental Health Analysis Platform |
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emoji: 🧠 |
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colorFrom: blue |
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colorTo: purple |
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sdk: gradio |
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sdk_version: 5.8.0 |
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app_file: app.py |
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pinned: false |
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--- |
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# AI-Powered Mental Health Analysis Platform |
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This Hugging Face Space hosts an advanced platform that integrates EEG signal processing, AI-driven analysis, and personalized treatment planning for mental health assessment and care. |
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## Features |
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- **EEG Signal Processing & Analysis** |
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- Support for common EEG file formats (EDF, BDF, CNT) |
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- Advanced preprocessing and feature extraction |
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- Real-time processing capabilities |
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- **Interactive Brain Mapping** |
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- 2D topographic mapping |
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- 3D surface visualization |
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- Connectivity network analysis |
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- **AI-Powered Clinical Analysis** |
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- Mental health assessment |
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- Condition probability estimation |
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- Severity assessment |
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- Risk factor identification |
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- **Treatment Planning** |
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- Personalized recommendations |
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- Evidence-based interventions |
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- Lifestyle modifications |
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- Crisis management plans |
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## How to Use |
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1. Upload your EEG data file (supported formats: EDF, BDF, CNT) |
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2. Select the analysis type you want to perform |
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3. View the generated visualizations and analysis results |
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4. Get personalized treatment recommendations |
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## Data Requirements |
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- Supported formats: EDF, BDF, CNT |
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- Minimum sampling rate: 250 Hz |
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- Standard 10-20 electrode placement |
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- Good signal quality with minimal artifacts |
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## Models |
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The platform uses specialized models for: |
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- Clinical Text Analysis: BiomedNLP-PubMedBERT |
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- Mental Health Assessment: Custom classification models |
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- EEG Analysis: Deep learning models |
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## Disclaimer |
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This platform is designed to assist healthcare professionals and should not be used as a replacement for professional medical advice, diagnosis, or treatment. |
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## Credits |
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Created by [invincible-jha] |
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Based on research and collaboration with the scientific community. |
