EEG Spectrogram: A Python Flask EEG Analysis Tool Development - Part 2

Timestamps
(00:00) Introduction to the frequency spectrogram issue
(01:02) Discussing the need for an HTML spectrogram plotly container
(02:00) Explaining data fetching and rendering in JavaScript
(03:06) Troubleshooting and explaining code functions
(05:10) Modifying JavaScript for better data visualization
(06:03) Addressing issues with spectrogram display in HTML
(08:05) Revising HTML and JavaScript for spectrogram rendering
(09:05) Debugging and refining the code
(10:02) Displaying the complete spectrogram and discussing issues
(11:04) Adjusting amplitude and frequency scales
(12:07) Modifying controls and removing unnecessary elements
(13:06) Optimizing performance and server load
(14:01) Updating spectrogram based on user controls
(15:01) Finalizing noise control and frequency scale adjustments
(16:02) Demonstrating the seizure spectrogram in different channels
(17:05) Discussing the responsiveness of controls
(18:03) Explaining the effect of different controls on the spectrogram
(19:06) Analyzing seizure energy in low-frequency components
(20:03) Linking wavelet denoise control to spectrogram updates
(21:11) Investigating granular appearance in the spectrogram
(22:00) Exploring Python functions for spectrogram generation

I use GitHub Copilot and ChatGPT for development.