Systems and methods for transforming electrocardiogram images for use in one or more machine learning models

US12376777B1 · kind B1 · utility

Assignee

• Anumana, Inc. · US

Inventors

• Sairam Bade · Suryapet, IN
• Yash Mishra · Kanchinakote, IN
• Shiva Verma · Kanchinakote, IN
• Uddeshya Upadhyay · Bengaluru, IN
• Ashim Prasad · Kanchinakote, IN
• Rakesh Barve · Bengaluru, IN
• Samir Awasthi · Boston, US
• Shashi Kant · Bengaluru, IN

Key dates

• Filing date: Apr 19, 2024
• Grant date: Aug 5, 2025
• Expiry date: Apr 19, 2044

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N20/00
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

A system for transforming electrocardiogram images for use in one or more machine learning models, the system including at least a processor configured to receive paired data including a plurality of ECG images correlated to a plurality of standardized images, wherein each ECG image of the plurality of ECG images is correlated with each standardized image of the plurality of standardized images, train an ECG transformation model as a function of the paired data, wherein training the transformation model includes adjusting one or more parameter values of the ECG transformation model as a function of a comparison between at least one predicted standardized image and at least one standardized image of the plurality of standardized images, receive non-conforming data, generate standardized data as a function of the ECG transformation model and the non-conforming data and train an ECG machine learning model as a function of the standardized data.