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.
Click the "Start Acquisition" button in the application to initiate the data acquisition process.
After data acquisition is complete, click the "Process Data" button to process the acquired MEG signals.
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.
The results of the disorder detection will be displayed in the application after the process is complete.
- /data_processing: Scripts for MEG signal processing.
- /model: Scripts related to the deep neural network model.
- /ui: Scripts for the user interface.
- Test scripts and data for quality control.
- Detailed descriptions, API references, and user manuals.
- Sample data for testing (no real patient data).
- Utility scripts for data preprocessing, model training, etc.
- Output data, including model predictions and metrics.
- 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.
This project is licensed under MIT LICENSE. See the LICENSE file for details.