Smart and Connected Soft Biomedical Stethoscope and Machine Learning for Continuous Real-Time Disease Detection

Explore a technical conference talk that delves into the development and implementation of a soft wearable stethoscope system (SWS) for continuous real-time auscultation and automated disease detection. Learn about computational mechanics studies that guide the design of wearable systems, focusing on mechanical reliability during repeated use with bending and stretching motions. Discover how biocompatible elastomers and soft adhesives are optimized for skin-friendly, robust adhesion while minimizing motion artifacts. Examine the system's superior performance in detecting high-quality cardiopulmonary sounds compared to commercial digital stethoscopes, achieved through wavelet denoising algorithms. Understand how deep learning integration enables automatic detection and diagnosis of lung diseases like crackle, wheeze, stridor, and rhonchi with 95% accuracy. Gain insights into various printing processes for nano-microscale sensors, hard-soft materials integration, and soft packaging strategies. Explore additional applications of soft electronic platforms including portable health monitoring devices, disease diagnostic devices, therapeutic systems, and human-machine interfaces, along with detailed discussions on sensor design, circuits, manufacturing, system optimization, signal processing, machine learning, and data classification.