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NeuralScan App

🧠 Welcome to the NeuralScan App Respository 🧠

NeuralScan is an open-source application designed to detect neurological disorders using Magnetoencephalography (MEG) signals and deep neural networks. This README provides an overview of the application's structure and usage guidelines.

Usage Guide

Data Acquisition Module

Click the "Start Acquisition" button in the application to initiate the data acquisition process.

Data Processing Module

After data acquisition is complete, click the "Process Data" button to process the acquired MEG signals.

Neural Network Module

Once data processing is complete, click the "Detect Disorders" button to use a deep neural network to detect neurological disorders from the processed MEG signals.

Results Module

The results of the disorder detection will be displayed in the application after the process is complete.

Repository Structure

📂 Root Directory

📂 Source Code Directory

  • /data_processing: Scripts for MEG signal processing.
  • /model: Scripts related to the deep neural network model.
  • /ui: Scripts for the user interface.

📂 Test Directory

  • Test scripts and data for quality control.

📂 Documentation Directory

  • Detailed descriptions, API references, and user manuals.

📂 Data Directory

  • Sample data for testing (no real patient data).

📂 Scripts Directory

  • Utility scripts for data preprocessing, model training, etc.

📂 Results Directory

  • Output data, including model predictions and metrics.

📂 Contrib Directory

  • Contributions from other developers.

📄 .gitignore: Specifies files and directories to ignore.

This organized structure ensures efficient collaboration, easy navigation, and effective version control.

For more details, refer to the project's documentation or contact the support team.

License

This project is licensed under MIT LICENSE. See the LICENSE file for details.

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