System Flow Chart
Patient Registration
EEG Setup
40Hz Stimulus
Signal Acquisition
Real-time Processing
AI Analysis
Results & Report
Technical Architecture
Hardware Layer:
- EEG Amplifier (ADS1299) - 24-bit ADC, 8 channels
- Microcontroller (ESP32-S3) - Real-time processing
- Audio Generator (MAX98357A) - 40Hz stimulus
- Power Management - Ultra-low noise LDO
Software Stack:
- Firmware: Real-time signal processing (C/C++)
- Backend: Django web framework (Python)
- AI Engine: TensorFlow/PyTorch models
- Frontend: Modern web interface (HTML/CSS/JS)
Data Pipeline:
- Raw EEG → Filtering → Artifact Removal → Feature Extraction → AI Classification → Clinical Report
Performance Specifications
- Latency: <10ms real-time processing
- Accuracy: 94.2% AI classification accuracy
- Throughput: 1000+ samples/sec data acquisition
- Reliability: 99.9% uptime in clinical trials
- Scalability: Supports multiple concurrent users