Building Open-Source Biomedical AI Tools: Heart Rate, EEG & Sentiment

Welcome to another live development and testing session where we explore browser-based, open-source biomedical data science tools available freely on bionichaos.com! If you are interested in the intersection of AI, health tech, and front-end web development, this stream covers a variety of interactive projects that run entirely locally on your machine. In this session, we test out the real-time signal amplification microscope—a tool that uses Eulerian video magnification to detect your heart rate by tracking microscopic color changes in your face via webcam. We also experiment with PCA (Principal Component Analysis) face reconstruction, custom local camera filters for background removal, and a real-time speech-to-text sentiment analyzer built in JavaScript. Beyond the code, we host a live debate with various AI models (Perplexity, Grok, and ChatGPT) discussing a highly debated topic in medical data: the diagnostic value of long-term continuous recordings from consumer wearables (like Garmin or Apple Watch) versus short-term, high-quality clinical-grade recordings. We also showcase our latest EEG seizure detection machine learning model, which achieves 96% accuracy while remaining lightweight enough for mobile deployment. All of the tools, simulations, and data analysis models shown are open-source and free to explore. Feel free to inspect the code, modify the lexicons, and suggest new features on our ideas page at bionichaos.com. #BiomedicalDataScience #AI #WebDevelopment #MachineLearning #BioniChaos #OpenSource #HealthTech #DataScience #JavaScript #Bioinformatics #Wearables 00:00 Open-source biomedical tools on bionichaos.com 01:30 Real-time signal amplification for webcam heart rate tracking 03:45 PCA face reconstruction and altering eigenvalues 06:35 Testing local browser-based background removal filters 09:30 Trying to use an AI voice model as a live stream co-host 11:35 AI explains the BioniChaos FaceBloodWebCam tool 15:00 Consumer wearables vs. clinical grade devices debate 21:20 Grok AI roleplays a doctor to debate continuous health tracking 23:25 ChatGPT analyzes clinical specificity vs. consumer sensitivity 26:40 Reviewing the EEG seizure detection machine learning model 28:55 Real-time sentiment and emotion analysis using a local audio visualizer 33:20 Discussing the mental effort and stress estimator tools 35:50 Modifying AI-generated web apps and future tool ideas Check out the tools we develop at https://bionichaos.com Support BioniChaos on Patreon:   / bionichaos   Become a channel member to get exclusive perks:    / @bionichaos