EEG Trigger Experiment

This project is a Flask-based web application for conducting EEG experiments with synchronized image presentation and hardware triggering.

It displays a sequence of images in fullscreen mode while triggering a relay on a NodeMCU via serial communication. The application also processes EEG data and visualizes event-related potentials.

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Features

• Image Sequence Presentation

  • Displays a sequence of images (stimulus4.png, stimulus5.png) defined in a triggers.csv file.
  • Each image is shown for a specified duration (e.g., 3 seconds).
  • The sequence repeats for a configurable number of cycles (default: 60).

• Relay Triggering

  • Sends trigger pulses to a NodeMCU connected on COM5 for each image presentation.

• EEG Data Processing

  • Upload and process EEG data (EDF files) using MNE-Python.
  • Visualize ERPs in a Matplotlib window.
  • Export plots as PNG and PDF.

• Manual Trigger Mode

  • Select images, durations, and repeats manually through the web interface.

• Fullscreen Display

  • Smooth image transitions with fade effects (0.5s).
  • Optimized for single-tab operation.

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📂 Prerequisites

• Python 3.8+
• NodeMCU connected to COM5
  • Flash the provided nodemcu_eeg_trigger.ino firmware.
• Images
  • stimulus4.png
  • stimulus5.png (place in the static/ folder)
• CSV File
  • triggers.csv (place in the uploads/ folder)

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Dependencies

Install required Python packages: pip install Flask pyserial mne numpy matplotlib Pillow

Output graph

pip install Flask pyserial mne numpy matplotlib Pillow