MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641053957 A) filed by Sri Muthukumaran Institute Of Technology on April 28, 2026, for Deep Learning Based Healthcare Analytics Hardware System For Real-Time Medical Monitoring And Predictive Disease Detection.
Inventors include Hemachandran Munuswami; Dr. M. Lenin Kumar; A. G. Ignatius; Senthil Kumar Natarajan; and Bhavani. K.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: The present invention discloses a deep learning-based healthcare analytics hardware system designed for reaktime medical monitoring and predictive disease detection. The system integrates wearable and embedded biosensors with an edge-enabled processing unit capable of executing optimized deep learning models for continuous physiological data analysis. It captures vital parameters such as heart rate, oxygen saturation, temperature, and electrocardiogram signals, and processes them locally to minimize latency and ensure rapid clinical insights. A dedicated hardware accelerator enhances computational efficiency, enabling real-time anomaly detection and early prediction of chronic and acute diseases. The system further incorporates secure communication modules for transmitting encrypted data to cloud platforms and healthcare providers. By combining hardware-level optimization with intelligent analytics, the proposed invention improves diagnostic accuracy, reduces response time, and supports proactive healthcare management. It is particularly suitable for remote patient monitoring, telemedicine applications, and resource-constrained environments requiring reliable, low-power, and scalable healthcare solutions. /html
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