General Electric Company

Ge Medical Systems Information Technologies Gmbh

Ge Precision Healthcare LLC

Alivecor, Inc.

Ge Medical Information Technologies, Inc.

Aalborg Universitet

Joel Qiuzhen Xue

Shankara Bonthu Reddy

Paul P Elko

Donald Brodnick

G Ian Rowlandson

Basel H Taha

David E Albert

Yao Liang Chen

Adrian F Warner

Daniel Richard Schneidewend

Gordon Ian Rowlandson

Mark Robert Kohls

Daniel J Nowicki

Hui Li

Jian Zhou

Kai Erik Thomenius

Brian Joseph Young

Johannes Jan Struijk

Bruce Richard Satchwell

Derek Exner

John Edward Lorbiecki

Lawrence Elwood Murphy

Willi Kaiser

Claus Graff

Fei Teng

James Russel Peterson

Kim Norman Barnett

Long Yu

Yongsheng Yang

Richard Andrew Valiga

Thomas Bork Hardahl

Mads Peter Andersen

Xiaodong Han

Weihua Gao

Sarah Alme

Ian Rowlandson

Michael Slawnych

Wenguang Li

Robert Farrell

Samuel Lee

Shankara B Reddy

A system and method for evaluating blood flow in a vessel of a patient includes a catheter containing a first pressure sensor and a second pressure sensor and configured to simultaneously measure pressure data within a vessel on either side of a stenosis. Pressure data generated by the catheter includes a first series of pressure measurements from the first pressure sensor a second series of pressure measurements from the second pressure sensor. The system and method further includes a fractional flow reserve (FFR) calculation module executable on one or more processors and configured to calculate a stability index for each of two or more portions of the pressure data, wherein each stability index indicates at least one of heart rate stability and catheter stability for the respective portion of the pressure data. An optimal time window is identified based on the stability indexes for calculation of FFR based on the pressure data. A FFR value is then calculated based on the pressure data in the optimal time window.

System and method for evaluating blood flow in a vessel

Methods and systems are provided for automatically diagnosing a patient based on a reduced lead electrocardiogram (ECG), using one or more deep neural networks. In one embodiment, a method for automatically diagnosing a patient using a reduced lead ECG comprises, acquiring reduced lead ECG data, wherein the reduced lead ECG data comprises less than twelve lead signals, determining a type of each of the less than twelve lead signals, selecting a deep neural network based on the type of each of the less than twelve lead signals, and mapping the less than twelve lead signals to a diagnosis using the deep neural network. In this way, reduced lead ECG data may be mapped to a diagnosis using an intelligently selected deep neural network, wherein the deep neural network was trained on reduced lead ECG data comprising a same set of ECG lead types as the acquired reduced lead ECG data.

Systems and methods for reduced lead electrocardiogram diagnosis using deep neural networks and rule-based systems

Multi-electrode device

A system for evaluating blood flow in a vessel of a patient includes a catheter containing a first pressure sensor and a second pressure sensor and configured to simultaneously measure pressure data within a vessel on either side of a stenosis. Pressure data generated by the catheter includes a first series of pressure measurements from the first pressure sensor a second series of pressure measurements from the second pressure sensor. The system further includes an FFR calculation module executable on one or more processors and configured to calculate a stability index for each of two or more portions of the pressure data, wherein each stability index indicates at least one of heart rate stability and catheter stability for the respective portion of the pressure data. An optimal time window is identified based on the stability indexes for calculation of fractional flow reserve (FFR) based on the pressure data. An FFR value is then calculated based on the pressure data in the optimal time window.

A system for modeling electrical activity of an anatomical structure. The system includes a database that is configured to store cell set data corresponding to a group of cells of the anatomical structure. The cell set data includes a cell model that represents electrical activity of the group of cells. The cell model has a model parameter that relates to ion channels in the cells. The electrical activity represented by the cell model is at least partially based upon the model parameter. The system also includes a user interface that is configured to accept user inputs to change the model parameter and thereby change the electrical activity represented by the cell model to form a reconfigured cell model. The system also includes a display that is configured to display the user inputs and a processor that is configured to determine the electrical activity of the anatomical structure using the reconfigured cell model.

Systems and methods for modeling electrical activity of an anatomical structure

A method is provided for determining cellular electrical potentials using a state estimator. The state estimator is generated using at least an electrical source model and an electrical conduction model. One or more parameters or states of the state estimator are adjusted based on a measured electrocardiographic and/or a measured body-surface-potential signal. The electrical potential of one or more cells is determined based on the one or more adjusted parameters or states. In one aspect of the present technique, one or more representations of an organ comprising the one or more cells is generated such that the electrical potential or its deriving characteristic of the one or more cells is visually indicated.

Determination of cellular electrical potentials

Devices and methods comprise or provide an ECG recording device containing a mailable base and electrode assembly and/or other means engageable with the base to receive ECG signals from a subject during a self-administered ECG examination. The devices and methods may also include a single-use or limited-use ECG recording device, in which the base is disposable or reusable or recyclable. In addition, the device may be self-contained, battery-operated, portable, disposable, mailable to a location remote from an ECG examination, provide feedback, indicate its method of use, including graphically depicting same, contain a finger cuff and/or sensor pad for receiving ECG signals, and/or contain a memory. Preferably, the base conforms to various body shapes and/or sizes, is made of flexible and/or semi-flexible material, and/or contains a receptor, such as sealable blood well. The device can also communicate the ECG signals to an ECG processing system, which can be remote from the ECG examinations and comprise wireless communications.

Devices and methods for self-administered ECG examinations

A method and apparatus for analyzing characteristics of ECG signal data having a succession of waveforms produced by the beating of the heart. ECG signal data is obtained from a patient. A depolarization feature and a second feature of the waveforms of the ECG signal data are determined. Waveforms of the ECG signal data having a stable heart rate are selected for use in determining the second feature. Waveforms selected are those having minimum depolarization feature standard deviation and minimum depolarization feature dispersion. The depolarization feature and second feature for the heart beats of the selected waveforms are displayed.

Method, computer readable medium, and system for analyzing ECG morphology and time series

A method and apparatus for processing electrocardiographic signals of a patient. The apparatus comprises ten or fewer electrodes connected to a patient at least one of the standard twelve lead ECG electrode positions. The apparatus further comprises a plurality of ECG interpretation algorithms, each of the algorithms specifically tailored for analyzing a twelve lead ECG comprising both measured and derived ECG leads. The method of the present invention comprises determining whether an ECG lead is measured or derived and selecting an ECG interpretation algorithm based upon this determination.

Method and apparatus with reduced electrode system specific ECG interpretation

In a multi-tier patient monitoring data analysis system, an algorithm server is positioned as a middle tier between an acquisition device, such as a cardiograph or patient monitor that can be seen as a lower tier, and a storage device for a database, such as that of a central computer for a hospital or clinic that can be seen as an upper tier. The algorithm server gathers current data from the real time acquisition device and obtains previously stored ECG signal data from the database. The algorithm server contains ECG analysis algorithm(s) and runs one or more algorithms using the current and previously acquired ECG signal data. Analysis algorithms may also be run on the acquisition device. The system provides the rapid, extensive, and thorough ECG analysis that is critical to patient welfare.

Multi-tier system for cardiology and patient monitoring data analysis

A system and method of presenting physiological data in a component ring. The method includes receiving a plurality of leads of physiological data. Morphology features are extracted from the plurality of leads. The morphology features are graphed by presenting a component ring associated with each of the morphology features. The system includes at least two sensors configured to collect physiological data. A processor is configured to extract amplitudes of morphology features. A graphical user interface is configured to graphically display the morphology features in a plurality of component rings.

Method of presenting electrocardiographic data

Method and apparatus for determining alternans data of an ECG signal. The method can include determining at least one value representing at least one morphology feature of each beat of the ECG signal and generating a set of data points based on a total quantity of values and a total quantity of beats. The method can also include separating the data points into a first group of points and a second group of points and generating a feature map by plotting the first group of points and the second group of points in order to assess an alternans pattern of variation. The feature map can be analyzed by statistical tests to determine the significance difference between groups and clusters.

Method and apparatus for determining alternans data of an ECG signal

A method for generating a cardiac electrical instability assessment is disclosed herein. The method includes obtaining a short duration T-wave alternans (SDTWA) measurement, obtaining a long duration T-wave alternans (LDTWA) measurement, and obtaining a cardiac electrical instability assessment based on both the SDTWA measurement and the LDTWA measurement.

Method and system for detecting T-wave alternans

A method and apparatus for processing electrocardiographic signals of a patient. The apparatus comprises ten or fewer electrodes connected to a patient at at least one of the standard twelve lead ECG electrode positions. The apparatus further comprises a plurality of ECG interpretation algorithms, each of the algorithms specifically tailored for analyzing a twelve lead ECG comprising both measured and derived ECG leads. The method of the present invention comprises determining whether an ECG lead is measured or derived and selecting an ECG interpretation algorithm based upon this determination.

A system and method is provided for registering a representation of a probe with an image. One embodiment of a method comprises acquiring an image of or pertaining to a heart and registering a representation of a probe which is in or adjacent to the heart with the image using a heart vector of the heart.

System and method for registering an image with a representation of a probe

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Germantown, WI, United States of America

Joel Qiuzhen Xue