MUMBAI, India, Jan. 23 -- Intellectual Property India has published a patent application (202541117192 A) filed by Psg Institute Of Technology And Applied Research, Coimbatore, Tamil Nadu, on Nov. 26, 2025, for 'helora: a low-cost lora-based wearable health monitoring and triage framework for rural healthcare.'
Inventor(s) include Swethaswini R; Roshini Priya R; Yogapoorvaja V; Dr I Kala; and Dr Hemkiran S.
The application for the patent was published on Jan. 23, under issue no. 04/2026.
According to the abstract released by the Intellectual Property India: "The rapid proliferation of wearable health sensors and loT-cnabled medical devices has significantly advanced modem healthcare by facilitating continuous and real-time monitoring of physiological parameters such as ECG, blood glucose levels, body temperature, and heart rate. Despite these advancements, the transmission of sensitive medical data through public Wi-Fi networks introduces serious challenges related to data confidentiality, integrity, and unauthorized access. Conventional systems primarily depend on centralized cloud infrastructures for data storage and processing, which exposes them to high risks of cyberattacks, privacy breaches, and single points of failure. The present invention introduces a secure and privacy-preserving loT-based health monitoring framework that combines Blockchain technology with Federated Learning to achieve decentralized, intelligent, and tamper-resistant health data management. The proposed system continuously acquires physiological signals from wearable IoT sensors, preprocesses the data locally at the edge level, and transmits it securely over public Wi-Fi using robust encryption mechanisms. Each data exchange is recorded immutably on a blockchain ledger, thereby ensuring transparency, authenticity, and resistance to tampering while allowing access only to authorized healthcare participants. A federated learning model is incorporated to enable collaborative training of Al- driven diagnostic algorithms across multiple hospitals and medical institutions without the need to share raw patient data. This approach preserves data privacy, complies with healthcare data protection regulations, and enhances the predictive performance of diagnostic models. Smart contracts deployed within the blockchain infrastructure autonomously manage access control, verity model updates, and facilitate secure aggregation of learned parameters across distributed nodes. This invention ensures real-time remote health monitoring, secure handling of medical information, and intelligent analytics, while simultaneously maintaining patient confidentiality and fostering trust among healthcare providers. Additionally remote healthcare delivery- ensuring continuous, reliable, and privacy-compliant medical services even in resource-constrained environments. Keywords: IoT Healthcare, Blockchain, Federated Learning, Secure Data Transmission, Public Wi-Fi, Smart Contracts, Privacy Preservation, Remote Health Monitoring, Edge Computing."
Disclaimer: Curated by HT Syndication.
