MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641066828 A) filed by Dayananda Sagar University on May 27, 2026, for System And Method For Multimodal Physiological Monitoring And Patient-Specific Digital Twin Generation Using An Intelligent Stethoscope And Adaptive Physiological Signal Fusion.
Inventors include Suryanarayana G K; S Bahubali; and Gilbert Jospeh.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: Title: System and Method for Multimodal Physiological Monitoring and Patient- Specific Digital Twin Generation Using an Intelligent Stethoscope and Adaptive Physiological Signal Fusion The current invention relates to a multimodal physiological monitoring and digital twin generation system for predictive cardiac and respiratory healthcare. The system integrates an AI-enabled stethoscope and wearable sensing devices to acquire cardio-respiratory acoustic signals, electrocardiogram signals, blood oxygen saturation measurements, pulse-related information, blood pressure data and patient clinical information (101). A pre-processing and feature extraction framework (102) performs signal conditioning, noise reduction, synchronization and modality-specific feature generation. An artificial intelligence-driven multimodal fusion engine (103) performs adaptive weighting and integrated physiological analysis to generate a unified latent physiological representation. A patient- specific digital twin generator (104) continuously models cardiac, respiratory, circulatory and oxygenation-related physiological states using temporal modelling and predictive analytics (105). The system further enables disease progression prediction, treatment response simulation, emergency healthcare advisory generation (107), explainable clinical decision support (106) and edge-cloud deployment (109), thereby providing non-invasive, predictive, personalized and affordable healthcare delivery.
Disclaimer: Curated by HT Syndication.
