US Patent Issued to Pacesetter on March 25 for "Methods and systems for predicting arrhythmia risk utilizing machine learning models" (California Inventors)

ALEXANDRIA, Va., March 26 -- United States Patent no. 12,257,060, issued on March 25, was assigned to Pacesetter Inc. (Sylmar, Calif.).

"Methods and systems for predicting arrhythmia risk utilizing machine learning models" was invented by Kevin Davis (Thousand Oaks, Calif.) and Aditya Goil (Stevenson Ranch, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A system and method for determining an arrhythmia risk are provided and include memory to store specific executable instructions and a machine learning (ML) model trained to predict an arrhythmia with a characteristic of interest (COI) that exhibits a non-physiologic behavior. One or more processors are configured to execute the specific executable ins...