MUMBAI, India, April 20 -- Intellectual Property India has published a patent application (202441083953 A) filed by Dr. S. Thalapathiraj; Dr. T. Stalin; Dr. J. Jayanthi; Dr. A. Britto Manoj; and Dr. R. Balakumar, Chennai, Tamil Nadu, on Oct. 16, 2024, for 'iot-based remote patient monitoring and healthcare data analysis system using machine learning.'
Inventor(s) include Dr. S. Thalapathiraj; Dr. T. Stalin; Dr. J. Jayanthi; Dr. A. Britto Manoj; and Dr. R. Balakumar.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "An IoT-based remote patient monitoring and healthcare data analysis system utilizing machine learning is presented. The system comprises IoT devices for real-time data collection, a central server for data storage and analysis, and a machine learning module for detecting patterns and providing insights. Healthcare providers and patients access data through a secure user interface, enabling remote consultation and personalized content delivery. The system offers improved patient care, early health issue detection, enhanced patient engagement, and efficient healthcare resource utilization. A machine learning-based Internet of Things (IoT) platform is presented for remote patient monitoring and healthcare data analysis. The platform integrates IoT sensors and wearable devices to capture physiological data, employing secure data transmission protocols to protect patient privacy. Advanced machine learning algorithms analyze the captured data, providing predictive analytics and early prognosis. The platform generates clinically relevant summaries, known as Personalized Health Motifs (PHMs), translating complex sensor data into actionable information for healthcare providers. With ethical and cultural considerations, seamless EHR integration, and a user-friendly interface, this innovation improves patient care and enables timely interventions."
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