Mastering Fuzzy Logic in Waveform Detection: An Interactive Web Application Tutorial

- Real Time Biomedical Data Web App Development with GPT-4

I recently hosted a live stream where I discussed the development of a fuzzy logic waveform detector, an interactive web application. This tool demonstrates how fuzzy logic can identify different waveform shapes amidst varying noise levels. I covered the technical aspects, including HTML, CSS, JavaScript, and Python Flask integration, and delved into the use of libraries like SK fuzzy and Plotly for graphing. The session was interactive, focusing on the application of fuzzy logic in signal processing, and I provided insights into the debugging and visualization of fuzzy logic parameters. The goal was to enhance understanding of fuzzy logic in waveform detection and its practical applications.

00:00:00 - Introduction to Fuzzy Logic Waveform Detector
00:15:30 - Overview of HTML and CSS Integration
00:30:45 - JavaScript Functionality Explained
00:45:10 - Python Flask Backend Development
01:00:35 - Utilizing SK fuzzy and Plotly Libraries
01:15:50 - Interactive Demonstration of Web Application
01:30:05 - Debugging and Visualization Techniques
01:45:20 - Q&A Session and Closing Remarks

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