Building an Interactive EEG Data Explorer with Python: A Kaggle Dataset Deep Dive
Join me as I embark on building an interactive tool for exploring EEG data using Python! In this video, I delve into a Kaggle EEG dataset, showcasing its unique challenges and intricacies. Together, we'll examine mislabeled and noisy signals, tackle DC shifts and missing segments, and investigate peculiar seizure-like patterns with unusual ECG correlations. I'll guide you through the process of setting up a Python environment for EEG analysis, incorporating informative spectrograms, and creating dynamic label filtering. Get ready for a hands-on exploration of real-world EEG data and the practical steps involved in creating an interactive analysis tool!
#EEG #spectrogram #Python #dataanalysis #Kaggle #biomedicaldata #signalprocessing #machinelearning #datavisualization #neuroinformatics
The tools I develop are available on https://bionichaos.com
You can support my work on / bionichaos
00:00:00 - Introduction and Kaggle EEG dataset overview
00:01:09 - Exploring noisy and mislabeled EEG data
00:02:10 - Discussing data structure and labels in the train CSV file
00:03:18 - Integrating a spectrogram chart into the HTML interface
00:04:10 - Troubleshooting issues with missing chart functionality
00:05:09 - Regenerating JavaScript code to incorporate new data fields
00:06:30 - Returning to a working version of the HTML and testing
00:07:21 - Attempting to display a 50-second EEG window based on sub ID selection
00:08:43 - Investigating issues with data retrieval and x-axis label formatting
00:09:47 - Addressing formatting issues with decimal points on the x-axis
00:11:10 - Loading spectrogram data from Parquet files
00:12:44 - Understanding the structure of the Parquet files
00:13:37 - Removing unnecessary functions and refining the code
00:15:12 - Eliminating the data_utils file and observing the results
00:16:17 - Addressing issues with the spectrogram display and data fetching
00:17:37 - Discussing the EEG chart expanding issue and spectrogram visibility
00:18:18 - Conclusion and future steps for enhancing the EEG data explorer