Cardioinsight Technologies, Inc.

Meredith E Stone

Charulatha Ramanathan

Ping Jia

Ryan M Bokan

Qingguo Zeng

Brian P George

Qing Lou

Jeffrey B Adair

Connor S Edel

Matthew J Sabo

Vladimir A Turovskiy

Ketal C Patel

Kevin R Ponziani

John E Anderson

Andrew E Hoover

Cheng Yao

Edel S Connor

Andy E Hoover

An example method includes analyzing morphology and/or amplitude of each of a plurality of electrophysiological signals across a surface of a patient's body to identify candidate segments of each signal satisfying predetermined conduction pattern criteria. The method also includes determining a conduction timing parameter for each candidate segment in each of the electrophysiological signals.

Detecting conduction timing

An example method includes receiving monitoring data representing one or more substantially real time electrical signals based on measurements from one or more respective electrodes. The method also includes selecting at least one signal of interest (SOI) from the monitoring data, each selected SOI being associated with a respective anatomical location and storing SOI data in memory corresponding to each selected SOI. The method also includes quantifying changes between signal characteristics of real time signals acquired for one or more respective anatomical locations and the at least one SOI that is associated with each of the respective anatomical locations. An output can be generated based on the quantifying to characterize spatially local signal changes with respect to each of the respective anatomical locations.

Signal characterization to facilitate therapy delivery

An example method includes performing amplitude-based detection to determine location of R-peaks for a plurality of electrograms. The method also includes performing wavelet-based detection to determine location of R-peaks for the plurality of electrograms. The method also includes adjusting the location of the R-peaks determined by the wavelet-based detection of R-peaks based on the location of R-peaks determined by the amplitude-based detection of R-peaks. The method also includes storing, in memory, R-peak location data to specify R-peak locations for the plurality of electrograms based on the adjusting.

Detection and analysis of cardiac waveforms

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Strongsville, OH, United States of America

Meredith E Stone