MUMBAI, India, Sept. 22 -- Intellectual Property India has published a patent application (202617072193 A) filed by Accurkardia, Inc. on June 10, 2026, for A Machine Learning Algorithm For The Detection Of Cardiac Amylodosis From 12 Lead Ecg Data.
Inventors include Bose, Sluso Anne; Antony, Catherine Vinnarasi; Komala, T. A; and Shaikh, Rozina Moazzam Ali.
The application for the patent was published on September 18, 2026, under issue no. 38/2026.
Abstract: The present disclosure provides systems and methods for detection of cardiac amyloidosis from electrocardiogram (ECG) signals. In particular, the present disclosure identified critical novel features that can be incorporated in systems and methods for the detection of cardiac amyloidosis from one or more ECG signals. In some embodiments, it includes annotating a plurality of electrocardiogram (ECG) parameters in a database as associated with one or more cardiac amyloidosis designations or a negative cardiac amyloidosis control designation; instructing a machine learning model to distinguish the plurality of electrocardiogram (ECG) parameters; applying a machine learning analysis to the plurality of distinguished electrocardiogram (ECG) parameters thereby providing a numeric value that represents the contribution of each parameter to the one or more cardiac amyloidosis designation and identifies one or more electrocardiogram (ECG) parameters that are informative of cardiac amyloidosis.
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