Abnormal ECG Detection: Fuzzy Logic in Python & JavaScript: Web App Development
Channel: BioniChaos
Date: 18/02/2024

Hey everyone, welcome to my video where I dive into the fascinating world of fuzzy logic and its application in ECG waveform analysis. As a biomedical engineer, I explored the potential of using fuzzy logic and neural networks to create a bot that can play an ECG detection game, "Cardio Quest." The video covers the journey from basic JavaScript coding for the game to integrating Python's SciKit and SK-fuzzy for fuzzy logic algorithm design. I delve into the technical aspects of designing fuzzy logic systems, processing ECG signal data, and the challenges of integrating front-end JavaScript with a Python Flask backend. This session is a deep dive into the practical implementation of fuzzy logic in biomedical applications, discussing various aspects like amplitude and frequency analysis, peak detection, and the nuances of creating a robust fuzzy logic system. Join me as I navigate through the complexities of combining different programming languages and libraries to achieve a functional and efficient biomedical application.

00:00:00 - Introduction to Game Development and Synthetic ECG
00:01:05 - Discussing Fuzzy Logic, Neural Networks, and JavaScript Coding
00:03:20 - Exploring JavaScript Libraries for Fuzzy Logic and Brain JS Adaptation
00:05:51 - Adapting Brain JS for Fuzzy Logic and Decision-Making Processes
00:07:00 - Flask Backend Integration for ECG Waveform Detection
00:09:57 - Implementing Security and Data Processing in Flask Server
00:11:06 - Simplifying Flask Application Structure and Static File Management
00:13:20 - GitHub Co-Pilot Assistance and Workspace Feature Exploration
00:15:00 - Using Psyched Fuzzy Library for ECG Detection Game in Python Flask App
00:17:10 - Visual Studio Code Workspace Analysis and Flask App Testing
00:19:02 - Membership Functions and Fuzzy Logic Implementation
00:21:06 - JavaScript Integration with Python Flask Backend
00:23:02 - Troubleshooting Flask App and HTML Server Testing
00:25:07 - Triangular vs Trapezoidal Membership Functions in Fuzzy Logic
00:27:06 - Independent Backend Analysis and Frontend Display in Flask App
00:29:00 - Flask Backend as Dedicated Expert System for Fuzzy Logic Analysis
00:31:04 - Application File Upload and Modification Assistance
00:33:00 - Integrating Adaptive Normalization into Flask Application
00:35:03 - Updating Flask App for Fuzzy Logic Analysis and HTML Integration
00:37:10 - Flask Application Refactoring for Fuzzy Logic Analysis
00:39:09 - Signal Processing and Feature Extraction in Flask App
00:41:01 - Fuzzy Logic Analysis Function Implementation in Flask App
00:43:00 - Troubleshooting JSON Data Parsing in JavaScript
00:45:10 - Flask App Testing and Adaptive Normalization Integration
00:47:01 - Flask Backend and JavaScript Game Logic Interaction
00:49:00 - Troubleshooting Flask App and Type Error Resolution
00:51:13 - Adaptive Normalization Implementation and Flask App Modification
00:53:30 - Dynamic Adaptive Normalization Method for Flask App
00:55:00 - Further Guidance on Adaptive Normalization in Flask App

#biomedicalengineering   #fuzzylogic  #ecganalysis  #pythoncoding  #scikit  #SKfuzzy #javascriptintegration  #flask  #signalprocessing  #gamedevelopment  #CardioQuest #biomedicaldata #bionichaos

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