US 11,839,479 B2
True onset identification
Richard M. Smith, Oronoco, MN (US); James Dean Hutchins, Advance, NC (US); John Henry Engel, Rochester, MN (US); and Michael McRoberts, Mazeppa, MN (US)
Assigned to BOSTON SCIENTIFIC CARDIAC DIAGNOSTIC TECHNOLOGIES, INC., Rochester, MN (US)
Filed by Preventice Technologies, Inc., Rochester, MN (US)
Filed on Nov. 18, 2019, as Appl. No. 16/687,156.
Claims priority of provisional application 62/769,370, filed on Nov. 19, 2018.
Prior Publication US 2020/0155025 A1, May 21, 2020
Int. Cl. A61B 5/316 (2021.01); A61B 5/00 (2006.01); G16H 40/67 (2018.01); G16H 50/20 (2018.01); A61B 5/361 (2021.01)
CPC A61B 5/316 (2021.01) [A61B 5/0006 (2013.01); A61B 5/361 (2021.01); G16H 40/67 (2018.01); G16H 50/20 (2018.01)] 15 Claims
OG exemplary drawing
 
1. A method carried out by a server, the method comprising:
determining, using the server, that a first strip of electrocardiogram (ECG) data includes cardiac events each comprising one or more critical rhythms;
calculating, by the server, a confidence level associated with the critical rhythms;
determining, by the server, that the confidence level is above a minimum confidence threshold;
associating, by the server, the cardiac events with an initial classification in response to the determining that the confidence level is above a minimum confidence threshold;
identifying, by the server, which one of the cardiac events is as an onset event;
identifying which of the cardiac events is a later event stemming from the onset event;
slicing the first strip of ECG data into a shorter strip to exclude the later event;
modifying, at the server, the initial classification of the cardiac event identified as the onset event; and
modifying the ECG data, using the server by:
generating meta-data for the ECG data based on the onset event, and
modifying the ECG data to include the generated meta-data.