MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641048440 A) filed by Sona College Of Technology, Salem, Tamil Nadu, on April 16, for 'an iot and ai-driven predictive maintenance system for critical care equipment.'
Inventor(s) include T. Sathiya; R. Reenadevi; B. Sathiyabhama; Pavinithik; Shifana Fathima M; Sailekha M; and Pavishya P L.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a predictive maintenance system for an extracorporeal membrane oxygenation (ECMO) machine used in critical care environments. The system comprises a plurality of externally mounted sensors configured to monitor operational and environmental parameters including vibration, temperature, humidity, flow rate, and pressure. A data acquisition and processing unit collects and structures sensor data and transmits the data through a secure communication interface to a cloud-based storage platform for real-time and historical logging. An analytics engine retrieves the stored data and performs rule-based evaluation and machine-learning based classification to detect deviations from normal operational patterns. A health state classification module categorizes the operational status of the ECMO machine into predefined states including Safe, Alert, and Danger. An alert module generates notifications upon detection of abnormal conditions. The system operates non-invasively without modification of internal ECMO control circuitry and enables continuous monitoring and predictive analysis of equipment health."
Disclaimer: Curated by HT Syndication.
