MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202611111903 A) filed by Krishna Institute Of Engineering & Technology Kiet on September 17, 2026, for Hybrid Edge-Cloud Intelligence System And Method For Continuous Physiological Monitoring And Early Sepsis Prediction.
Inventors include Anubhav Soni; Affan Khan; and Dr. Urvashi Gupta.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: Disclosed is a processor-executed, hybrid edge-cloud physiological monitoring system and method. A wearable node comprises a pulse-oximetry sensor, a temperature sensor and a galvanic-skin-response sensor, coupled to a signal-conditioning module configured to suppress a motion artefact and a noise artefact from the sensed signals. An edge anomaly detection module, comprising a trained unsupervised model, computes a reconstruction error of the conditioned signal against a learned baseline and, on the reconstruction error exceeding a threshold, generates a local alert independent of network connectivity of the wearable node. A secure transmitter transmits the conditioned signal over an encrypted channel to a cloud analytics tier comprising a trained recurrent neural network model, which generates an early- warning risk output indicative of a predicted onset of a deteriorating clinical condition. An explainability module generates a feature attribution indicating a contribution of the physiological signals to the risk output.
Disclaimer: Curated by HT Syndication.
