Enhancing EEG Data Visualization: Developing an Intuitive Web Application
Channel: BioniChaos
Date: 2023-11-07

Wavelet Based EEG Noise Removal: Time Frequency Web App Development Part 2

In this video, I delve into the development of a web application for EEG data visualization. I start by discussing a basic EEG tool that allows users to select channels from a 16-channel EEG recording, showcasing intracranial seizures. I highlight the challenges with the user interface controls and emphasize the importance of using spin buttons judiciously. The video progresses to a Flask application development, where I aim to enhance the tool with wavelet denoising options. I encounter various challenges, particularly in transitioning from Python 3.5 to 4, and explore ways to improve the code with GitHub Copilot's assistance.

I demonstrate the application's functionality, including the ability to visualize EEG data with and without denoising. The video also covers the intricacies of adjusting the denoising levels and the impact on the EEG signal's visualization. I address the need for a more intuitive user interface, replacing spin buttons with sliders and checkboxes with toggle switches for a better user experience. Throughout the video, I iteratively test and refine the application, ensuring that the EEG data is accurately represented and the interface is user-friendly.

[00:02] Introduction to the EEG tool and user interface challenges.
[03:06] Discussion on Flask application development for EEG data visualization.
[04:03] Challenges with transitioning from Python 3.5 to 4.
[05:08] Exploring code improvements with GitHub Copilot.
[07:05] Implementing wavelet denoising in the EEG visualization tool.
[10:08] Comparing results between Python 3.5 and 4.
[17:27] Enhancing the user interface with sliders and color adjustments.
[23:22] Debugging and refining the Flask application.
[33:01] Streamlining JavaScript code for better user interaction.
[39:02] Suggestions for front-end improvements.
[47:00] Finalizing changes to the EEG visualization tool.
[54:02] Replacing checkboxes with toggle switches.
[58:04] Final testing and review of the application.

#EEG #DataVisualization #FlaskApplication #UserInterface #WaveletDenoising #PythonDevelopment #GitHubCopilot #JavaScript #UIUXDesign #WebDevelopment #Python3.5 #Python4 #SignalProcessing #Neuroscience #HealthTech

The tools I develop are available on https://bionichaos.com 
You can support my work on https://patreon.com/bionichaos