Cardioinsight Technologies, Inc.

John E Anderson

Charulatha Ramanathan

Ping Jia

Harold Wodlinger

Steven G Arless

Harris Gasparakis

Soniya Bhojwani

Qingguo Zeng

Ryan M Bokan

Brian P George

Qing Lou

Jeffrey B Adair

Connor S Edel

Meredith E Stone

Ketal C Patel

Vladimir A Turovskiy

Matthew J Sabo

Andrew E Hoover

Cheng Yao

Edel S Connor

Andy E Hoover

Jia Ping

Gasparakis Harris

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

A method for visualization of electrophysiology information can include storing electroanatomic data in memory, the electroanatomic data representing electrical activity on an anatomic region within a patient's body over a time period. An interval within the time period is selected in response to a user selection. A visual representation of physiological information for the user selected interval can be generated by applying at least one analysis method to the electroanatomic data. The visual representation can spatially represented on a graphical representation of the anatomic region within the patient's body.

Visualization of electrophysiology data

Systems and methods can be utilized to visualize physiological data relative to a surface region (e.g., an organ) of a patient. A computer-implemented method can include storing electroanatomic data in memory representing electrical activity for a predetermined surface region of the patient and providing an interactive graphical representation of the predetermined surface region of the patient. A user input is received to define location data corresponding to a user-selected location for at least one virtual electrode on the graphical representation of the predetermined surface region of the patient. A visual representation of physiological data for the predetermined surface region of the patient is generated based on the location data and the electroanatomic data.

Visualization of physiological data for virtual electrodes

A method for visualization of electrophysiology information can include storing electroanatomic data () in memory, the electroanatomic data representing electrical activity on a surface of an organ over a time period. An interval within the time period is selected in response to a user selection (). Responsive to the user selection of the interval, a visual representation () of physiological information for the user selected interval is generated by applying at least one method to the electroanatomic data (). The visual representation () is spatially represented on a graphical representation of a predetermined region of the surface of the organ.

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Chagrin Falls, OH, United States of America

John E Anderson