MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202521002765 A) filed by Tata Consultancy Services Limited on January 13, 2025, for Predicting Cardiologist Level Clinical Explanations For Electrocardiogram Signal Classification Using Deep Learning.
Inventors include Jose, Akshay Kiran; Ukil, Arijit; Deb, Trisrota; and Pal, Arpan.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: ABSTRACT PREDICTING CARDIOLOGIST LEVEL CLINICAL EXPLANATIONS FOR ELECTROCARDIOGRAM SIGNAL CLASSIFICATION USING DEEP LEARNING This disclosure relates generally to a method and system for predicting cardiolo-gist level clinical explanations for electrocardiogram signal classification using deep learning. Conventional methods for explainability of artificial intelligence models are influenced by data distribution and do not provide clinical level ex-planations in cardiac healthcare. The method disclosed provides clinical level explanations for rhythm diagnosis from ECG signals. The method validates that clinical concepts in ECG signals can be extracted by generating a set of synthetic ECG signals. The set of synthetic ECG signals are generated using trained gener-ative adversarial networks and statistical parameterization techniques. Further the set of synthetic ECG signals are validated by classifying and comparing them with a set of real ECG signals. Then a clinical concept identifier model is trained for predicting the clinical concepts present in an ECG signal classified into a set of signal classes. These clinical concepts predicted are cardiologist level expla-nations. [
Disclaimer: Curated by HT Syndication.
