ECG Analysis with AI: Fuzzy Logic Enhancements and the Interactive ECG Game
Channel: BioniChaos
Date: 2024-02-29

Hey everyone! In this video, I dive into the fascinating world of fuzzy logic and its application in ECG waveform analysis. I start by comparing fuzzy logic with neural networks, highlighting the explainability of fuzzy logic in decision-making processes. We're revamping our fuzzy logic examples, starting with a simple shape detector and then advancing to more complex applications like EEG seizure detection and ECG analysis. I discuss our use of synthetic EEG and ECG data, the tools we're employing (like Flask, Numpy, Scipy, and SKfuzzy), and the challenges we face in our development process.

Moreover, I delve into the specifics of ECG waveform analysis, focusing on identifying abnormalities and noise using AI. I go through debugging and refining our fuzzy logic functions within a Flask application and touch upon the importance of data visualization. We also compare GPT-4 and GitHub Copilot in coding assistance.

Finally, I address some technical issues in our code, particularly in frequency calculation and peak detection, and how we're adjusting our fuzzy logic system to better detect ECG abnormalities. I share insights on implementing and testing new rules and membership functions in our system. Join me as I explore these cutting-edge technologies and their potential to revolutionize medical diagnostics!

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

0:00:00 - Introduction to Fuzzy Logic vs. Neural Networks
0:00:28 - Revamping Fuzzy Logic Examples
0:01:00 - Applying AI to EEG and ECG Data
0:02:05 - Tools Used: Flask, Numpy, Scipy, SKfuzzy
0:02:48 - ECG Waveform Analysis: Fuzzy Logic design
0:03:07 - Data Visualization Aspects
0:03:18 - Backend Development with Flask
0:03:45 - GPT-4 and GitHub Copilot in Coding
0:04:01 - Addressing Code Issues: Frequency and Peak Detection
0:07:01 - ECG Components: PQRST Complex
0:08:01 - Adjusting Fuzzy Logic for Abnormal ECG Detection
0:09:29 - Testing Fuzzy Logic Adjustments
0:10:08 - Code Review: Addressing Errors and Improvements
0:11:01 - ECG Game Demonstration
0:12:13 - Achieving High Scores in the ECG Game
0:13:05 - Clarification on ECG Peaks
0:14:17 - Analyzing a Normal ECG Waveform
0:15:11 - Adjusting Fuzzy Membership Functions
0:17:15 - Debugging Waveform Function
0:18:03 - Refining Fuzzy Logic Detector
0:20:11 - Finalizing Fuzzy Logic Rules
0:22:35 - Implementing Code Changes
0:23:09 - Updating Membership Functions
0:24:00 - Frequency Analysis in Code
0:25:01 - Extracting Fuzzy Membership Values
0:26:12 - Code Review and Fixes
0:27:09 - Testing Abnormality Detection
0:28:32 - Addressing Code Issues
0:29:06 - ECG Game and Future Developments
Tags:
#FuzzyLogic #ECGAnalysis #AIinHealthcare #BiomedicalEngineering #DataVisualization #PythonCoding #FlaskDevelopment #EEGData #ECGWaveform #MachineLearning #HealthTech #AIApplications #CodingTutorial #BiomedicalTech #InnovativeDiagnostics #MedicalAI #TechEducation #Bioinformatics #AIResearch