Intellectual Property India Publishes Patent Application for 'Feature-Level Interpretability In Machine Learning Models For Cardiac Arrhythmia Classification' Filed by Dr. Ruhina Quazi; Dr. Rahil Khan; Dr. Vignesh V; Mr. Gunasekar M; Dr. Benjamin Arul S; Ms. L. Steffina Morin; Ms. C. Jeyalakshmi; Ms. Nithya S; Ms. A. Jothi Soruba Thaya; and Dr. Jose Anand A

MUMBAI, India, Jan. 23 -- Intellectual Property India has published a patent application (202521125495 A) filed by Dr. Ruhina Quazi; Dr. Rahil Khan; Dr. Vignesh V; Mr. Gunasekar M; Dr. Benjamin Arul S; Ms. L. Steffina Morin; Ms. C. Jeyalakshmi; Ms. Nithya S; Ms. A. Jothi Soruba Thaya; and Dr. Jose Anand A, Nagpur, Maharashtra, on Dec. 11, 2025, for 'feature-level interpretability in machine learning models for cardiac arrhythmia classification.'

Inventor(s) include Dr. Ruhina Quazi; Dr. Rahil Khan; Dr. Vignesh V; Mr. Gunasekar M; Dr. Benjamin Arul S; Ms. L. Steffina Morin; Ms. C. Jeyalakshmi; Ms. Nithya S; Ms. A. Jothi Soruba Thaya; and Dr. Jose Anand A.

The application for the patent was published on Jan. 23, under issue no. 04/2026.

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