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Скачать или смотреть AI Unlocks Brainwaves: Advanced Seizure Detection with Joint Time-Frequency Scattering

  • BioniChaos
  • 2025-08-02
  • 68
AI Unlocks Brainwaves: Advanced Seizure Detection with Joint Time-Frequency Scattering
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Описание к видео AI Unlocks Brainwaves: Advanced Seizure Detection with Joint Time-Frequency Scattering

Struggling to understand the complex, dynamic nature of brainwaves? Detecting seizures in EEG data is notoriously difficult because the signals are "non-stationary"—they change constantly and unpredictably. Standard analysis methods often miss the subtle, fleeting patterns that indicate a seizure.

In this video, we explore a powerful solution: the Joint Time-Frequency Scattering tool from BioniChaos. We break down how this advanced technique uses a Wavelet Scattering Transform and Fast Fourier Transform (FFT) to analyze EEG data in both the time and frequency domains simultaneously. Discover how this dual perspective provides a much richer, multi-layered view of brain activity, making it possible to identify complex seizure patterns that were previously hidden.

We'll walk you through the tool's interactive features, explaining how adjusting parameters like "Scale" and "Data Length" allows you to fine-tune the analysis and uncover the intricate dynamics of neurological signals. Whether you're a student, researcher, or enthusiast in neuroscience, biomedical engineering, or data science, this deep dive will bridge the gap between complex theory and practical application.

Explore this tool: https://bionichaos.com/TimeFreq/

#EEG #SeizureDetection #AI #SignalProcessing #Neuroscience #BiomedicalEngineering #DataScience #MachineLearning #TimeFrequencyAnalysis #WaveletTransform #FFT #HealthTech #DataVisualization #WebDevelopment #BioniChaos

00:00 The Challenge: Decoding Complex EEG Signals
00:17 Why Seizures are "Non-Stationary" Events
00:50 A New Solution: The Joint Time-Frequency Scattering Tool
01:10 The Breakthrough: Analyzing Time & Frequency Together
01:34 How It Works: The Wavelet Scattering Transform (WST)
02:02 Visualizing the Data: Comparing Raw vs. Transformed Signals
02:55 Interactive Feature: Adjusting the "Scale Parameter"
03:27 Interactive Feature: The Importance of "EEG Data Length"
03:57 The Big Takeaway: A Better Lens for Complex Signals
04:32 Broader Applications: Beyond Brainwaves

Check out the tools we develop at https://bionichaos.com
Support BioniChaos on Patreon:   / bionichaos  
Become a channel member to get exclusive perks:    / @bionichaos  

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