Cardioinsight Technologies, Inc.

Qing Lou

Qingguo Zeng

Ping Jia

Ryan M Bokan

Brian P George

Timothy G Laske

Charulatha Ramanathan

Jeffrey B Adair

Connor S Edel

Kevin R Ponziani

Yong Wang

Meredith E Stone

Matthew J Sabo

Vladimir A Turovskiy

Ketal C Patel

Soniya Bhojwani

Jeff Burrell

Shahabedin Shahdoostfard

Daniel Varghai

Lijun Yu

Raja N Ghanem

John E Anderson

Rahsean Ellis

Andrew E Hoover

Cheng Yao

William Rowland

Koonlawee Nademanee

In an example, a signal segment evaluator can be programmed to evaluate a morphology of at least one electrophysiological signal to identify a signal segment of interest. The morphology of the signal segment of interest can be indicative of an electrophysiological event of a patient during a respective time interval. A reconstruction engine can be programmed to reconstruct electrophysiological signals on a surface of interest within a body of the patient based on the electrophysiological signals measured from an outer surface of the patient and geometry data representing an anatomy of the patient. A map generator can be 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. A target generator can be programmed to identify a target site within the patient's body based on the map for the electrophysiological event.

Systems and methods for electrocardiographic mapping and target site identification

In a described example, a method includes identifying, by a processor, negative deflections of at least one unipolar signal representing cardiac electrical activity on a surface of interest during a respective interval of the at least one signal. The method also includes determining, by a processor, an activation time for a last identified negative deflection in the respective interval. The method also includes detecting, by the processor, an instance of late activation based on comparing the activation time to a temporal threshold.

Late activation of cardiac signals

This disclosure provides one or more computer-readable media having computer-executable instructions for performing a method. The method includes storing geometry data representing a primary geometry of a cardiac envelope that includes nodes distributed across the cardiac envelope and geometry of a body surface that includes locations where electrical signals are measured. The body surface is spaced apart from the cardiac envelope. The method also includes perturbing the primary geometry of the cardiac envelope a given distance and direction to define the perturbed geometry of the cardiac envelope including nodes spaced from the nodes of the primary geometry. The method also includes computing reconstructed bipolar electrical signals on the nodes of the primary cardiac envelope based on the electrical signals measured from the body surface and the geometry data, including the primary and perturbed geometries of the cardiac envelope.

Determining bipolar electrical activity

A computer-implemented method includes storing location data for at least one invasive electrode that is movable within a patient's body. The method also includes storing electrophysiological measurement data representing the electrophysiological signals measured at the outer surface of a patient's body by body surface electrodes and within the patient's body by the at least one invasive electrode. The method also includes storing geometry data representing anatomy of the patient spatially, and locations of the respective body surface electrodes and the at least one invasive electrode in three-dimensional space. The geometry data for the at least one invasive electrode can vary based on movement of the at least one invasive electrode within the patient's body. The method also includes reconstructing electrophysiological signals on a surface of interest within the patient's body based on the electrophysiological measurement data and the geometry data.

Monitoring and analysis of invasive and non-invasive electrophysiological signals

This disclosure relates to integrated channel integrity detection and to reconstruction of electrophysiological signals. An example system includes a input channels configured to receive respective electrical signals from respective electrodes. An amplifier stage includes a plurality of differential amplifiers, each of the differential amplifiers being configured to provide an amplifier output signal based on a difference between a respective pair of the electrical signals. Channel detection logic is configured to provide channel data indicating an acceptability of each of the input channels based on an analysis of a common mode rejection of the amplifier output signals.

Channel integrity detection and reconstruction of electrophysiological signals

An example method includes establishing a communications link between an electrophysiology (EP) monitoring system and an implantable medical device (IMD). IMD electrical data is received at the monitoring system via the communications link. The IMD electrical data may be synchronized with EP measurement data to provide synchronized electrical data based on timing of a synchronization signal sensed by an IMD electrode and/or EP electrodes. The method also includes computing reconstructed electrical signals for locations on a surface of interest within the patient's body based on the synchronized electrical data and geometry data. The geometry data represents locations of the EP electrodes, a location of the IMD electrode within the patient's body and the surface of interest.

Using implantable medical devices to augment noninvasive cardiac mapping

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

Systems and methods for cardiac fast firing (e.g., atrial fast firing) detection perform frequency analysis on channels of collected cardiac waveform data and test the data for outlier frequency complex content that is of higher frequency than baseline frequency complex content associated with cardiac fibrillation (e.g., atrial fibrillation) or other arrhythmogenic activity. Anatomical regions from whence the cardiac fast firing originates can be displayed in real time on an epicardial surface map via a graphical display, aiding administration of therapy. Prior to such detection, QRST complex removal can be performed to ensure that ventricular activity does not infect the atrial fast firing analysis. A frequency-based method for QRST complex removal is also disclosed.

Detection and localization of cardiac fast firing

In an example, an n-dimensional method of fundamental solution (MFS) is used to compute reconstructed electrical activity on a cardiac envelope based on geometry data and electrical data, where n is a positive integer greater than three. The electrical data represents electrical activity measured non-invasively from a plurality of locations distributed on a body surface of a patient, and the geometry data represents three-dimensional body surface geometry for the locations distributed on the body surface where the electrical activity is measured and three-dimensional heart geometry for the cardiac envelope.

Multi-dimensional method of fundamental solutions for reconstruction of electrophysiological activity

This disclosure relates to localization and tracking of an object. As one example, measurement data can be stored in memory to represent measured electrical signals at each of a plurality of known measurement locations in a given coordinate system in response to an applied signal at an unknown location in the given coordinate system. A dipole model cost function has parameters representing a dipole location and moment corresponding to the applied signal. A boundary condition can be imposed on the dipole model cost function. The unknown location in the given coordinate system, corresponding to the dipole location, can then be determined based on the stored measurement data and the dipole model cost function with the boundary condition imposed thereon.

Localization and tracking of an object

This disclosure relates to integrated channel integrity detection and to reconstruction of electrophysiological signals. An example system includes a plurality of input channels configured to receive respective electrical signals from a set of electrodes. An amplifier stage includes a plurality of differential amplifiers, each of the differential amplifiers being configured to provide an amplifier output signal based on a difference between a respective pair of the electrical signals. Channel detection logic is configured to provide channel data indicating an acceptability of each of the plurality of input channels based on an analysis of a common mode rejection of the amplifier output signals.

One or more non-transitory computer-readable media have instructions executable by a processor and programmed to perform a method. The method includes analyzing the electrical data to locate one or more wave front lines over a given time interval. The electrical data represents electrophysiological signals distributed across a cardiac envelope for one or more time intervals. A respective trajectory is determined for each wave end of each wave front line that is located across the cardiac envelope over the given time interval. A set of connected trajectories are identified based on a duration that the trajectories are connected to each other by a respective wave front line during the given time interval. A connectivity association is characterized for the trajectories in the set of connected trajectories.

Connectivity analysis for arrhythmia drivers

For example, one or more non-transitory computer-readable media includes executable instructions to perform a method. The method includes defining a plurality of spatial regions distributed across a geometric surface. At least one wave front that propagates across the geometric surface is detected based on electrical data representing electrophysiological signals for each of a plurality of nodes distributed on the geometric surface over at least one time interval. An indication of conduction velocity of the wave front is determined for at least one spatial region of the plurality of spatial regions during the time interval based on a duration that the wave front resides within the at least one spatial region. Slow conduction activity is identified for the at least one spatial region based on comparing the indication of conduction velocity relative to a threshold. Conduction data is stored in memory to represent each slow conduction event.

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Powell, OH, United States of America

Qing Lou