MUMBAI, India, Jan. 23 -- Intellectual Property India has published a patent application (202511126502 A) filed by Swami Rama Himalayan University, Dehradun, Uttarakhand, on Dec. 14, 2025, for 'a system and method for predictive fetal health classification using real-time ctg and machine learning.'
Inventor(s) include Vanshika Mahant; Shivani Nautiyal; Gaurav; and Dr. Deepak Srivastava.
The application for the patent was published on Jan. 23, under issue no. 04/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a system and method for predictive classification of fetal health using real-time Cardiotocogram (CTG) data and machine learning. Fetal heart rate and uterine contraction signals are continuously acquired from a cardiotocograph device, preprocessed to remove noise and artefacts, and segmented into analysis windows. From each window, clinically relevant features, including baseline rate, variability, accelerations, decelerations and contraction parameters, are automatically extracted. A trained machine learning classifier receives these features and outputs a fetal health class, such as normal, suspect or pathological, together with a numerical risk score and confidence estimate. A safety rule engine applies deterministic clinical thresholds and overrides the classifier when necessary, providing a fail-safe mechanism. A decision-support interface displays classifications, risk trends, alerts and explanatory indicators to clinicians at the point of care. The architecture supports deployment on edge devices and telemedicine platforms, improving timely, objective assessment of fetal well-being."
Disclaimer: Curated by HT Syndication.
