EEG Data Visualization

Overview of the EEG Data Plot Web Application

Introduction

Welcome to the EEG Data Plot web application! This tool is designed to help you visualize and analyze EEG (electroencephalography) data interactively. EEG is a non-invasive method to record the electrical activity of the brain using electrodes placed along the scalp. It is widely used in various fields such as neuroscience, psychology, and clinical diagnostics to study brain function, detect anomalies, and monitor brain activity in real-time.

Background Science

EEG signals are the result of electrical impulses produced by neurons in the brain. These signals are recorded as continuous waveforms with varying frequencies and amplitudes, representing different states of brain activity. Common EEG patterns include alpha, beta, theta, and delta waves, each associated with different levels of arousal, cognitive states, and sleep stages.

EEG Usage in Epilepsy

EEG is a critical tool in the diagnosis and management of epilepsy, a neurological disorder characterized by recurrent seizures. Seizures are sudden, uncontrolled electrical disturbances in the brain that can cause changes in behavior, movements, feelings, and levels of consciousness. EEG helps clinicians identify abnormal brain wave patterns associated with epilepsy, determine the type of seizures, and locate the seizure origin within the brain. The current dataset displayed in this tool includes an epileptic seizure, providing a practical example of how EEG data can be used to detect and analyze seizure activity.

Application Features

1. Interactive Data Visualization:
   • The application utilizes Plotly, a powerful graphing library, to create dynamic and interactive plots. You can explore EEG data with features like zooming, panning, and range sliders, making it easy to focus on specific time intervals or patterns within the data.
2. User-Friendly Interface:
   • The interface is designed to be intuitive and accessible. Input fields allow you to specify the start time, duration, and display duration for the EEG data you wish to visualize. These controls give you the flexibility to customize your data view according to your needs.
3. Dynamic Plot Updates:
   • The application dynamically updates the plot based on your input without the need to reload the page. This is achieved using JavaScript and AJAX, ensuring a smooth and responsive user experience.
4. Environment Adaptability:
   • The application is capable of determining whether it is running locally or in a production environment. This adaptability ensures that it functions correctly regardless of the deployment scenario.

How to Use the Application

1. Accessing the Application:
   • Open your web browser and navigate to the URL where the application is hosted. The application will automatically determine if it is running in a local or production environment and adjust its behavior accordingly.
2. Loading EEG Data:
   • The application fetches EEG data from a specified file on the server. This data is then processed and displayed in an interactive plot.
3. Interacting with the Plot:
   • The EEG data is displayed as multiple traces, each representing a different channel of EEG recording. The x-axis represents time (in seconds), and the y-axis represents amplitude.
   • You can zoom in and out on the plot, pan across different time intervals, and use the range slider at the bottom of the plot to adjust the visible time window. This allows for detailed examination of specific segments of the EEG recording.

Technical Details

• Backend:
  • The application is built using Flask, a lightweight and flexible web framework for Python. Flask handles the server-side logic, including serving the EEG data file and rendering the HTML template.
• Frontend:
  • The user interface is created using HTML and CSS for structure and styling, and JavaScript for interactivity. The form submission and dynamic plot updates are managed using jQuery and AJAX.
• Data Visualization:
  • Plotly is used to create the interactive EEG plots. Plotly provides a range of features for data visualization, making it an ideal choice for creating detailed and interactive graphs.

Conclusion

The EEG Data Plot web application is a powerful tool for visualizing and analyzing EEG data. By combining the strengths of Flask and Plotly, it offers a seamless and interactive user experience. Whether you are a researcher, clinician, or student, this application provides an intuitive way to explore brain activity and gain insights from EEG recordings. We hope you find this tool useful for your EEG data analysis needs.

Contact and Support

If you encounter any issues or have questions about using the application, please contact the support team or refer to the documentation provided. Thank you for using the EEG Data Plot web application!