Flint Hills Scientific, L.l.c.

Other

Medtronic, Inc.

Cyberonics, Inc.

Globalfoundries Inc.

University of Kansas

Uchicago Argonne, LLC

Plint Hills Scientific LLC

Flint Hills Scentific, LLC

Flunt Hills Scientific, LLC

Flint Hills Scientfic, Llc.

Ivan Osorio

Mark G Frei

Naresh C Bhavaraju

Nina M Graves

Alexey Lyubushin

Jonathon E Giftakis

David L Carlson

Didier Sornette

Mark Turner Rise

Scott F Schaffner

Jonathan C Werder

Alexei V Nikitin

Thomas E Peters

John Craig Colborn

Josef Dorfmeister

David Lerner

John Ralston

Apostolos C Raptis

Timothy L Scott

Nachappa Gopalsami

Randy M Jensen

Ruslan L Davidchack

Stanislav Kulikov

D Sornette

John C Colborn

Methods, system and apparatus for identifying an extreme epileptic state/event in a patient are provided. In one aspect, at least two seizure events are identified. At least one inter-seizure interval (ISI) value related to the at least two seizure events are determined. The ISI value is compared to at least one reference value. An occurrence of an extreme seizure event is determined based upon the comparison of the determined ISI value to the at least one reference value. In another aspect, a first seizure event is detected. At least one body index affected by the first seizure event is determined. A second seizure event is detected. An occurrence of an extreme seizure event is determined based at least in part in response to a determination that the second seizure event occurred prior to the body index value returning to a reference value.

Detecting, assessing and managing extreme seizure events

Disclosed are methods and systems for treating epilepsy by stimulating a main trunk of a vagus nerve, or a left vagus nerve, when the patient has had no seizure or a seizure that is not characterized by cardiac changes such as an increase in heart rate, and stimulating a cardiac branch of a vagus nerve, or a right vagus nerve, when the patient has had a seizure characterized by cardiac changes such as a heart rate increase.

Contingent cardio-protection for epilepsy patients

Methods, systems, and apparatus for assessing a state of an epilepsy disease or a comorbidity thereof are provided. The methods comprise receiving at least one autonomic index, neurologic index, stress marker index, psychiatric index, endocrine index, adverse effect of therapy index, physical fitness index, or quality of life index of a patient; comparing the at least one index to at least one reference value; and assessing a state of an epilepsy disease or a body system of the patient based on the comparison. A computer readable program storage device encoded with instructions that, when executed by a computer, perform the method described above is also provided. A medical device system capable of implementing the method described above is also provided.

Systems approach to disease state and health assessment

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

A method, comprising detecting, in at least a first brain region of a patient, an electrical activity relating to an epileptic activity; determining a first regularity index of said electrical activity; and applying at least one first electrical stimulation to at least one neural target of said patient for treating said epileptic event, in response to said first regularity index being within a first range. A non-transitive, computer-readable storage device for storing instructions that, when executed by a processor, perform the method. A medical device system suitable for use in the method.

System and apparatus for increasing regularity and/or phase-locking of neuronal activity relating to an epileptic event

A method, comprising receiving a time series of patient body signal, determining first and second sliding time windows for the time series; applying an autoregression algorithm, comprising: applying an autoregression analysis to each of the first and second windows, yielding autoregression coefficients and a residual variance for each window; estimating a parameter vector for each window based on the autoregression coefficients and residual variances; and determining a difference between the parameter vectors; and determining seizure onset and seizure termination based on the difference between the parameter vectors. A non-transitory computer readable program storage unit encoded with instructions that, when executed by a computer, perform the method.

Seizure detection methods, apparatus, and systems using an autoregression algorithm

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

We report a method of a method for detecting an epileptic seizure, comprising providing a first body signal reference value; determining a current body signal value from a time series of body signals; comparing the current body signal value and the first reference value; determining a work level of the patient; determining whether the current body signal value comprises an ictal component, based on the work level and the comparing; issuing a detection of an epileptic seizure in response to the determination that the current body signal value comprises the ictal component; and taking at least one further action (e.g. warning, delivering a therapy, etc.), based on the detection. We also report a medical device system configured to implement the method. We also report a non-transitory computer readable program storage unit encoded with instructions that, when executed by a computer, perform the method.

Epileptic event detection based on correlation of body signals

A method for determining and responding in real-time to an increased risk of death relating to a patient with epilepsy is provided. The method includes receiving cardiac data and determining a cardiac index based upon the cardiac data. The method includes determining an increased risk of death associated with epilepsy if the indices are extreme, issuing a warning of the increased risk of death and logging information related to the increased risk of death. Also presented is a second method for determining and responding in real-time to an increased risk of death relating to a patient with epilepsy comprising receiving at least one of arousal data, responsiveness data or awareness data and determining an arousal index, a responsiveness index or an awareness index, where the indices are based on arousal data, responsiveness data or awareness data respectively. The second method includes determining an increased risk of death related to epilepsy if indices are extreme values, issuing a warning of the increased risk of death and logging information related to the increased risk of death. A computer readable program storage device is also provided. Also provided is a method for receiving body data, determining a cardiac, an arousal, a responsiveness, or a kinetic index, determining an increased or increasing risk of death over a first time window relating to a patient with epilepsy and issuing a warning and logging relevant information.

Detecting, assessing and managing a risk of death in epilepsy

We report a method comprising receiving a first indication to gather a first biological signal or feature thereof from a patient; gathering the first biological signal or feature thereof; receiving a second indication to stop gathering the first biological signal or feature thereof, wherein the second indication relates to a detection of an end of a brain state change; and stopping gathering the first biological signal or feature thereof. We also report a medical device system configured to implement the method. We also report a non-transitory computer readable program storage unit encoded with instructions that, when executed by a computer, perform the method.

Contigent acquisition and analysis of biological signal or feature thereof for epileptic event detection

A method of treating a medical condition in a patient using an implantable medical device, the implantable medical device including a first electrode coupled to a first cranial nerve structure and a second electrode coupled to a second cranial nerve structure, the method comprising: providing a first electrical signal to the first cranial nerve structure of the patient;

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Leawood, KS, United States of America

Ivan Osorio