US 12,390,142 B2
Systems and methods for electrocardiographic mapping and target site identification
Qingguo Zeng, Solon, OH (US); Timothy G. Laske, Shoreview, OH (US); and Qing Lou, Solon, OH (US)
Assigned to CARDIOINSIGHT TECHNOLOGIES INC., Independence, OH (US)
Filed by CARDIOINSIGHT TECHNOLOGIES INC., Independence, OH (US)
Filed on Jun. 14, 2022, as Appl. No. 17/840,256.
Claims priority of provisional application 63/228,405, filed on Aug. 2, 2021.
Prior Publication US 2023/0036977 A1, Feb. 2, 2023
Int. Cl. A61B 5/367 (2021.01); A61B 5/327 (2021.01); A61B 5/35 (2021.01); A61B 34/10 (2016.01)
CPC A61B 5/367 (2021.01) [A61B 5/327 (2021.01); A61B 5/35 (2021.01); A61B 34/10 (2016.02); A61B 2034/107 (2016.02)] 36 Claims
OG exemplary drawing
 
1. One or more non-transitory computer-readable media having data and machine readable instructions executable by a processor, the data comprising electrophysiological data representing electrophysiological signals measured from an outer surface of a patient's body and geometry data representing an anatomy of the patient, the machine readable instructions comprising:
a signal segment evaluator programmed to sample one or more portions of at least one of the electrophysiological signals and evaluate a morphology of the one or more sampled portions to identify a signal segment of interest, wherein a morphology of the signal segment of interest is indicative of an electrophysiological event of the patient during a respective time interval;
a signal segment extractor programmed to extract the signal segment of interest from the at least one of the electrophysiological signals to provide signal segment data in response to identifying the signal segment of interest, the signal segment data identifying the respective time interval during which the signal segment of interest occurred;
a reconstruction engine programmed to reconstruct electrophysiological signals on a surface of interest within a body of the patient based on the signal segment data, the electrophysiological data, and the geometry data;
a map generator programmed to generate a map representing the reconstructed electrophysiological signals on the surface of interest for the respective time interval of the signal segment of interest; and
a target generator programmed to identify a target site within the patient's body based on the map for the electrophysiological event.