MUMBAI, India, Oct. 5 -- Intellectual Property India has published a patent application (202641115341 A) filed by Dr. S. R. Rajabalayanan; Dr. M. Kalpana Devi; Dr. T. C. Ezhil Selvan; Dr. J. K. Kanimozhi; A. Ezhilmathi; Dr. M. Sathish Kumar; Dr Kumaran G; A. Nithya; K. Kanniyarasu; and M. Devendran on September 26, 2026, for System And Method For Ai-Enabled Early Detection Of Abnormal Physiological Conditions Using Multi-Parameter Healthcare Monitoring.
Inventors include Dr. S. R. Rajabalayanan; Dr. M. Kalpana Devi; Dr. T. C. Ezhil Selvan; Dr. J. K. Kanimozhi; A. Ezhilmathi; Dr. M. Sathish Kumar; Dr Kumaran G; A. Nithya; K. Kanniyarasu; and M. Devendran.
The application for the patent was published on October 02, 2026, under issue no. 40/2026.
Abstract: ABSTRACT SYSTEM AND METHOD FOR AI-ENABLED EARLY DETECTION OF ABNORMAL PHYSIOLOGICAL CONDITIONS USING MULTI- PARAMETER HEALTHCARE MONITORING The present invention discloses an AI-enabled smart healthcare device for the early detection of abnormal physiological conditions through continuous monitoring and intelligent analysis of physiological parameters. The system comprises a plurality of sensors configured to acquire real-time health data including heart rate, blood pressure, blood oxygen saturation, respiratory rate, body temperature, sleep patterns, and physical activity metrics. The acquired data are processed through a preprocessing module that performs filtering, normalization, calibration, and feature extraction to improve data reliability. An artificial intelligence analytics engine utilizes machine learning algorithms to identify abnormal physiological patterns, evaluate health trends, and predict potential health risks based on real-time and historical physiological information. A personalized health profiling mechanism establishes user-specific baseline characteristics to enhance detection accuracy and minimize false alerts. The system further includes a communication module for transmitting physiological data and health assessments to healthcare providers, caregivers, cloud platforms, and user devices. An alert generation module provides timely notifications for abnormal conditions, supporting preventive healthcare, remote patient monitoring, telemedicine applications, and early medical intervention.
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