US 12,402,838 B2
Method and system for cardiac signal processing
David Golan, San Francisco, CA (US); Eli Goz, San Francisco, CA (US); Shelly Yehezkely, San Francisco, CA (US); Ruth Ann Forney, San Francisco, CA (US); Jacob Schiftan, San Francisco, CA (US); Christopher Mansi, San Francisco, CA (US); and Clayton Eli Radakovich, San Francisco, CA (US)
Assigned to Viz.ai Inc., San Francisco, CA (US)
Filed by Viz.ai Inc., San Francisco, CA (US)
Filed on Apr. 11, 2024, as Appl. No. 18/633,371.
Application 18/633,371 is a continuation of application No. 18/209,936, filed on Jun. 14, 2023, granted, now 11,980,483.
Claims priority of provisional application 63/352,081, filed on Jun. 14, 2022.
Prior Publication US 2024/0252120 A1, Aug. 1, 2024
Int. Cl. G06K 9/00 (2022.01); A61B 5/00 (2006.01); A61B 5/366 (2021.01); G16H 50/70 (2018.01)
CPC A61B 5/7267 (2013.01) [A61B 5/366 (2021.01); G16H 50/70 (2018.01); A61B 5/7203 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for cardiac signal processing, comprising:
receiving cardiac data associated with a patient;
determining that the cardiac data is valid for use with a trained detection model, comprising providing the cardiac data to a trained quality model and a set of criteria-based models, wherein the trained quality model is trained to detect low quality input data within the cardiac data based on a set of quality indices, wherein the low quality input data is not valid for use with the trained detection model, wherein the set of criteria-based models validates the cardiac data based on a signal format of the cardiac data and a set of signal characteristics of the cardiac data, wherein the trained detection model is associated with detection of a medical condition;
processing the cardiac data with the trained detection model to produce an output indicative of the medical condition.