Optimizing EEG Data: Fuzzy Logic and Artifact Analysis in Biomedical Engineering
Channel: BioniChaos
Date: 2024-02-07

Hey everyone, welcome back to my channel! In this video, I'm tackling some exciting challenges in biomedical engineering, specifically in EEG data analysis. I kick things off with a focus on displaying the artifact risk, which initially doesn't show. As I dive into troubleshooting, I touch on integrating fuzzy logic in our analysis and the importance of backend and frontend harmony. We'll explore calculating the artifact risk while scrolling through synthetic EEG data, and I'll address issues like non-numeric values and ensuring accurate display of artifact probability. The video also delves into the nuances of artifact risk calculation over different window sizes, the role of sampling rates, and consistent data display. I face a few hurdles with the EEG chart container and discuss the necessity of handling both amplitude and frequency inputs. Stay tuned as I navigate through error handling, data preprocessing, and more. And don't forget to check out BioniChaos.com for additional insights!

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

00:00:00 - Introduction to EEG Data Analysis
00:00:10 - Troubleshooting: Displaying Artifact Risk with Fuzzy Logic
00:01:03 - Dynamic Artifact Risk Calculation in Scrolling
00:01:12 - UI Adjustments for Better Data Representation
00:02:09 - Optimizing Audio and Visuals for Analysis
00:02:38 - Real-Time Value Updates with Scroller
00:03:04 - Artifact Risk Calculation: Window Size and Details
00:03:54 - Importance of Sampling Rate and Scroller Positioning
00:04:14 - Consistent EEG Data Display Techniques
00:04:36 - Synchronizing Frontend and Backend for EEG Analysis
00:05:03 - Handling Scrolling Errors and Data Anomalies
00:05:33 - Ensuring Effective Data Preprocessing
00:05:45 - Closing Remarks and Website Promotion

#EEGAnalysis
#FuzzyLogic
#BiomedicalEngineering
#ArtifactRisk
#DataPreprocessing
#SyntheticEEG
#BackendFrontendIntegration
#TroubleshootingBiomedicalTech
#BioniChaos