MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641080831 A) filed by S Singaravelan; K. Vijaya Lakshmi; Dr. Abdur Rahman N; Dr. I. Sofiya; N. Rigana Fathima; G S Arun Kumar; A. Reddy Chaitanya; Agnes Joshy S; Priyadharshini R; Dr. J. Kumaresan; G Praburam; and Dr. Aravind B on June 30, 2026, for An Intelligent Biomedical Signal Processing And Monitoring System Using Edge Artificial Intelligence.
Inventors include Dr S Singaravelan; K. Vijaya Lakshmi; Dr. Abdur Rahman N; Dr. I. Sofiya; N. Rigana Fathima; G S Arun Kumar; A. Reddy Chaitanya; Agnes Joshy S; Priyadharshini R; Dr. J. Kumaresan; G Praburam; and Dr. Aravind B.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: The present invention discloses an intelligent biomedical signal processing and monitoring system using Edge Artificial Intelligence for real-time healthcare analysis and remote patient monitoring applications. The proposed system integrates biomedical sensors, embedded processing units, wireless communication modules, and Edge AI algorithms to acquire, process, analyze, and monitor physiological signals such as electrocardiogram (ECG), electroencephalogram (EEG), electromyography (EMG), heart rate, body temperature, oxygen saturation, and blood pressure in real time. The system employs edge computing architecture to perform local data processing and artificial intelligence-based prediction without depending entirely on cloud infrastructure, thereby reducing latency, bandwidth utilization, and response time while improving data privacy and operational reliability. The embedded AI model is configured to identify abnormal physiological patterns, detect potential health risks, and generate automated alerts for emergency medical assistance. Further, the invention supports wireless communication technologies for transmitting processed biomedical data to healthcare professionals, hospital servers, or mobile applications for continuous remote monitoring and clinical assessment. The proposed framework enhances healthcare accessibility, improves diagnostic accuracy, minimizes computational overhead, and enables energy-efficient operation suitable for wearable devices, smart hospitals, telemedicine systems, and home-based healthcare environments. The invention provides an integrated, scalable, and intelligent biomedical monitoring solution capable of supporting predictive healthcare analytics and real-time medical decision-making using Edge Artificial Intelligence techniques.
Disclaimer: Curated by HT Syndication.
