MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202541112315 A) filed by B. R. Tapas Bapu; and S. A. Engineering College, Chennai, Tamil Nadu, on Nov. 17, 2025, for 'deep learning and mm-wave radar in a contactless vital sign estimation system.'
Inventor(s) include B. R. Tapas Bapu.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "Conventional methods for monitoring vital signs such as electrocardiograms (ECG) or photoplethysmography (PPG) require physical contact with sensors, which can cause discomfort, hygiene concerns, and inconvenience for continuous monitoring-especially in hospitals, elderly care, and pandemic scenarios.The proposed invention introduces a noncontact, radar-based system integrated with deep learning that estimates human vital signs accurately by analyzing micro-motion and Doppler shifts caused by physiological activity. Using a millimeter-wave radar module, the system captures reflected signals from the human thoracic region, while a trained deep learning model extracts and correlates features to determine heart rate, respiration rate, and motion parameters in real-time.This innovation enables continuous, hygienic, and privacy-preserving health monitoring suitable for home care, hospital environments, and emergency response systems."
Disclaimer: Curated by HT Syndication.
