Braemar Manufacturing LLC

Cardionet, Inc.

Infobionic, Inc.

Ventrilink Corporation

Other

Biomedical Systems Corporation

Eric N. Prystowsky

Lev Korzinov

Eric Baumann

Scott Denis

Manuel E. Jaime

Justin James

David Churchville

Manuel Eduardo Jaime

Eric N Prystowsky

Anna McNamara

James E Ott

David Bondietti

Habib Homayoun

Manuel E Jaime

A computer-implemented method for processing ECG data may include: receiving, over an electronic network, ECG data, wherein the ECG data represents a plurality of heartbeats; analyzing the ECG data, by at least one processor, to determine whether each of the plurality of heartbeats is a normal heartbeat or an abnormal heartbeat; associating, by the at least one processor, each of the abnormal heartbeats with either only one of a plurality of existing templates or a new template; receiving, from a user, input related to each new template, wherein the input includes either: a) a confirmation that the new template represents an abnormal heartbeat, or b) a reclassification of the new template as representing a normal heartbeat or a different abnormal heartbeat; and in response to the user input, updating, by the at least one processor, a label of each of the heartbeats associated with each confirmed new template and each of the heartbeats associated with each reclassified new template. The ECG data may be received from a portable monitor configured to be carried on a patient's body.

Systems and methods for classifying ECG data

Systems and techniques for managing biological signals. In one implementation, a method includes receiving a cardiac biological signal that includes information describing events, determining a merit of each event based on one or more of a severity of a cardiac condition associated with the event and a quality of the event, and handling a subset of the events that meet a merit criterion. The subset can be handled for medical purposes.

Biological signal management

An electrical patch and associated system for acquisition of physiological data is described. The patch has a design that enables a variety of configurations depending upon the requirements physiological measurements to be made. Patches with single input channels to patches with multiple input channels, processing capabilities and radio communication can all use the same physical configuration. The design includes a battery management system to enable long term data acquisition and an optimization process that includes mirroring of algorithms on the patch and devices local to the user with algorithms running on a centrally located server. The server can then optimize data acquisition and analysis algorithms. The components of the system and methods of use are included.

Electrical patch for physiological measurements

Devices and methods are described that provide improved diagnosis from the processing of physiological data. The methods include use of multiple algorithms and intelligently combing the results of multiple algorithms to provide a single optimized diagnostic result. The algorithms are adaptive and may be customized for particular data sets or for particular patients. Examples are shown with applications to electrocardiogram data, but the methods taught are applicable to many types of physiological data.

Electrocardiogram device and methods

Devices and methods are described that provide improved diagnosis from the processing of physiological data. The methods include use of transforms prior to submitting the data to a multiple level neural network. In one embodiment for ECG analysis, a template is used to subtract data that is not pertinent to the diagnosis and then a Fourier transform is applied to the time series data. Examples are shown with applications to electrocardiogram data, but the methods taught are applicable to many types of physiological data.

A system and method for presenting information relating to heart data can involve operations including identifying arrhythmia events in physiological data obtained for a living being, receiving human assessments of at least a portion of the arrhythmia events, determining a measure of correlation between the human assessments and the identified events, and selectively presenting information regarding the identified events based on the measure of correlation. The operations can also include identifying atrial fibrillation events in physiological data obtained for a living being, obtaining heart rate data for the living being, and presenting information regarding the heart rate data and duration of the atrial fibrillation events together with a common time scale to pictographically represent heart rate trend with atrial fibrillation burden during a defined time period.

System and method for processing and presenting arrhythmia information to facilitate heart arrhythmia identification and treatment

A computer-implemented method for processing ECG data may include: receiving ECG data representing a plurality of heartbeats; analyzing the ECG data to determine whether each of the plurality of heartbeats is a normal heartbeat or an abnormal heartbeat; associating each of the abnormal heartbeats with an existing template or a new template; receiving input related to each new template, wherein the input includes either: a) a confirmation that the new template represents an abnormal heartbeat, or b) a reclassification of the new template as representing a normal heartbeat or a different abnormal heartbeat; and in response to the user input, updating a label of each of the heartbeats associated with each confirmed new template and each of the heartbeats associated with each reclassified new template.

Systems and methods for processing ECG data

High resolution full disclosure ECG data is transferred from a body sensor device to a handheld device via a wireless protocol. The handheld device transfers the full disclosure ECG data via a network to a center for analysis.

System and method for high resolution wireless full disclosure ECG episode monitoring and analysis

High resolution full disclosure ECG data is transferred from a body sensor device to a handheld device via a wireless protocol. The handheld device transfers the full disclosure ECG data via a cellular network to a data center for analysis. A monitoring center communicating with the data center facilitates technician and physician review and interactions.

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San Diego, CA, United States of America

Eric Baumann