Flint Hills Scientific, LLC

Medtronic, Inc.

Cyberonics, Inc.

Other

University of Kansas

Plint Hills Scientific LLC

Mark G Frei

Ivan Osorio

Naresh C Bhavaraju

David L Carlson

Nina M Graves

Jonathon E Giftakis

Mark Turner Rise

Jonathan C Werder

Alexei V Nikitin

Scott F Schaffner

Thomas E Peters

John Craig Colborn

John Ralston

Josef Dorfmeister

David Lerner

Randy M Jensen

Ruslan L Davidchack

Ivan Osoria

Ruslan Davidchak

John C Colborn

Methods, systems, and apparatus for detecting and/or validating a detection of a state change by matching the shape of one or more of an cardiac data series, a heart rate variability data series, or at least a portion of a heart beat complex, derived from cardiac data, to an appropriate template.

Detecting or validating a detection of a state change from a template of heart rate derivative shape or heart beat wave complex

Detecting or validating a detection of a state change from a template of heart rate derivative shape or heat beat wave complex

A system and method for analyzing and logging changes in brain state of a subject for administering therapy to the subject based on the at least one cardiac signal wherein the system and method comprises the steps of receiving at least one cardiac signal of the subject into a processor, analyzing the cardiac signal to detect at least one cardiac signal change indicative of a brain state change, and logging at least one characteristic of the detected signal change or the brain state change.

Method and system for logging quantitative seizure information and assessing efficacy of therapy using cardiac signals

State change indication by matching instantaneous heart rate shape to shape change template

Methods, systems, and apparatus for quantifying the quality of a fiducial time marker for a candidate heart beat, quantifying the quality of a candidate heart beat, or determining a time of beat sequence of the patient's heart. A fiducial time marker is obtained for a candidate heart beat. A quality index of said candidate heart beat is set to a first value. The candidate heart beat is tested with at least one beat validity test. At least a second value is added to said quality index of said candidate heart beat if said candidate heart beat passes said at least one beat validity test. The candidate heart beat is tested with at least a second heart beat validity test. At least a third value is added to said quality index of said candidate heart beat if said candidate heart beat passes said at least second heart beat validity test. In one class of beat validity test, a constraint defining a pass is modified at one or more times after the most recent prior valid heart beat that is greater than a constraint modification time threshold.

Validity test adaptive constraint modification for cardiac data used for detection of state changes

Method, apparatus and system for validating and quantifying cardiac beat data quality

Methods, systems, and apparatus for detecting the seizure in a patient using a medical device. The determination is performed by collecting cardiac data; determining valid heart beats suitable for seizure detection from the cardiac data; calculating heart rate data of interest from the valid heart beats; and identifying a seizure event from the heart rate data. The medical device may then take a responsive action, such as warning, logging the time of the seizure, computing and storing one or more seizure severity indices, and/or treating the seizure.

Algorithm for detecting a seizure from cardiac data

A method, computer program, and system for real-time signal analysis providing characterization of temporally-evolving densities and distributions of signal features of arbitrary-type signals in a moving time window by tracking output of order statistic filters (also known as percentile, quantile, or rank-order filters). Given a raw input signal of arbitrary type, origin, or scale, the present invention enables automated quantification and detection of changes in the distribution of any set of quantifiable features of that signal as they occur in time. Furthermore, the present invention's ability to rapidly and accurately detect changes in certain features of an input signal can also enable prediction in cases where the detected changes associated with an increased likelihood of future signal changes.

Method, computer program, and system for automated real-time signal analysis for detection, quanitification, and prediction of signal changes

The system, device, and method may use electrical stimulation of the vagus nerve to treat epilepsy with minimized or no effect on the heart. Treatment is carried out by an implantable signal generator, one or more implantable electrodes for electrically stimulating a predetermined stimulation site of the vagus nerve, and a sensor for sensing characteristics of the heart such as heart rate. The heart rate information from the sensor can be used to determine whether the vagus nerve stimulation is adversely affecting the heart. Once threshold parameters are met, the vagus nerve stimulation may be stopped or adjusted. In yet another embodiment, the system, device, and method may be simply a modified pacemaker having circuitry that determines whether a vagus nerve is being stimulated. In the event that the vagus nerve is being stimulated, the modified pacemaker may control the heart to maintain it within desired conditions during the vagus nerve stimulation.

Vagal nerve stimulation techniques for treatment of epileptic seizures

Methods, systems, and apparatus for detecting the seizure in a patient using a medical device. The determination is performed by collecting cardiac data determining valid heart beats suitable for seizure detection from the cardiac data; calculating heart rate data of interest from the valid heart beats; and identifying a seizure event from the heart rate data. The medical device may then take a responsive action, such as warning, logging the time of the seizure, computing and storing one or more seizure severity indices, and/or treating the seizure.

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Lawrence, KS, United States of America

Mark G Frei