Abstract: Methods, systems, and apparatus for detecting an epileptic event, for example, a seizure in a patient using a medical device. The determination is performed by providing an autonomic signal indicative of the patient's autonomic activity; providing a neurologic signal indicative of the patient's neurological activity; and detecting an epileptic event based upon the autonomic signal and the neurologic signal.

Abstract: A method for identifying changes in an epilepsy patient's disease state, comprising: receiving at least one body data stream; determining at least one body index from the at least one body data stream; detecting a plurality of seizure events from the at least one body index; determining at least one seizure metric value for each seizure event; performing a first classification analysis of the plurality of seizure events from the at least one seizure metric value; detecting at least one additional seizure event from the at least one determined index; determining at least one seizure metric value for each additional seizure event, performing a second classification analysis of the plurality of seizure events and the at least one additional seizure event based upon the at least one seizure metric value; comparing the results of the first classification analysis and the second classification analysis; and performing a further action.

Abstract: A method, apparatus, and system are provided for mucous membrane therapy. The method includes receiving at least one body signal from a patient; detecting a condition of the patient based on the body signal; and administering the therapy to at least one of a mucous membrane or a serous membrane of the patient. A medical device system configured to implement the method is provided. A computer-readable storage device for storing instructions that, when executed by a processor, perform the method is also provided.

Abstract: 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.

Abstract: A method, comprising detecting an epileptic event in a neural network, wherein the event occurs in a first node; identifying a second node; and applying a therapy to the second node or any connection. A method, comprising determining a first body index indicative of epileptic activity; monitoring a second body index; detecting an indication of activity spread, based upon at least the second body index; and taking a responsive action, such as delivering therapy, modifying therapy, logging the indication, or warning. A method, comprising detecting an epileptic event in a first node of a neural network; applying a first therapy to a first neural structure for treating the event; and applying a second therapy to a second neural structure of the patient based on an event spread proclivity to a third neural structure. A non-transitive, computer-readable storage device for storing data that when executed by a processor, perform a method.

Abstract: Methods and apparatus for identifying an extreme epileptic state/event in a patient are provided. One method includes determining at least one of an autonomic index, a neurologic index, a metabolic index, an endocrine index, or a tissue stress index, where at least one determined index is based upon body data. The method also includes identifying a seizure event based upon the at least one determined index and determining at least one seizure severity index (SSI) value indicative of the severity of the seizure event. The method further includes comparing the determined at least one SSI value to at least one reference value and identifying an occurrence of an extreme seizure event, based upon the comparison of the determined SSI value to the at least one reference value. A non-transitory, computer readable program storage device is also provided.

Abstract: 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.

Abstract: Disclosed are probabilistic approaches to patient evaluation, warning and treatment of a neurological disorder. Disclosed techniques estimate probability distribution functions or cumulative distribution functions, determined by relying on representative historical profiles, comprising information in short and/or long timescales obtained at times that may be intermittent or temporally discontinuous from each other or from other events of interest. The patient may thereby be treated based on the determined probability information.

Abstract: A medical device system capable of scoring a severity of sensed neurological signals relating to a nervous system disorder. The system comprises a monitoring element that receives a neurological signal having at least one event to be scored. The medical device system identifies one or more features of the neurological signal to use in scoring and computes a score of relative severity of the event using the identified feature. Once two or more events have been scored, the events may be ranked by severity relative to each other.

Abstract: A method of distinguishing a non-epileptic seizure from an epileptic seizure in a patient, comprising: detecting a seizure in a patient based on at least one first body signal of the patient selected from an autonomic signal, a neurologic signal, a metabolic signal, an endocrine signal, and a tissue stress marker signal; analyzing at least one second body signal of the patient selected from an autonomic signal, a neurologic signal, a metabolic signal, an endocrine signal, and a tissue stress marker signal; determining, based on the analyzing, at least a first classification index comprising at least one of an epileptic seizure index and a non-epileptic seizure index; and classifying the seizure as a non-epileptic seizure or an epileptic seizure based on the at least a first classification index. A medical device system capable of implementing the method. A computer-readable device for storing data that, when executed, perform the method.

Abstract: A system and method for predicting and avoiding a seizure in a patient. The system and method includes use of an implanted surface acoustic wave probe and coupled RF antenna to monitor temperature of the patient's brain, critical changes in the temperature characteristic of a precursor to the seizure. The system can activate an implanted cooling unit which can avoid or minimize a seizure in the patient.

Abstract: Methods, systems, and apparatus for detecting an epileptic event, for example, a seizure in a patient using a medical device. The determination is performed by providing an autonomic signal indicative of the patient's autonomic activity; providing a neurologic signal indicative of the patient's neurological activity; and detecting an epileptic event based upon the autonomic signal and the neurologic signal.

Abstract: A method, comprising receiving at least one of a signal relating to a first cardiac activity and a signal relating to a first body movement from a patient; triggering at least one of a test of the patient's responsiveness, awareness, a second cardiac activity, a second body movement, a spectral analysis test of the second cardiac activity, and a spectral analysis test of the second body movement, based on at least one of the signal relating to the first cardiac activity and the signal relating to the first body movement; determining an occurrence of an epileptic event based at least in part on said one or more triggered tests; and performing a further action in response to said determination of said occurrence of said epileptic event. Further methods allow classification of epileptic events. Apparatus and systems capable of implementing the method.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A method comprising detecting an epileptic event in a patient; applying an electrical therapy to a first target area in at least one of a brain region or a cranial nerve of said patient in response to said detecting; receiving a body signal responsive to the electrical therapy, wherein said body signal is selected from an autonomic signal, a neurologic signal, a metabolic signal, an endocrine signal, or a tissue stress marker signal; determining whether said body signal indicates that said electrical therapy has an efficacious effect; and terminating the application of said electrical therapy if the response indicates that the electrical therapy has an efficacious effect. An apparatus capable of performing the method. A non-transitive, computer-readable storage device for storing data that when executed by a processor, perform the method.

Abstract: Methods, systems, and apparatus for assessing a state of a comorbidity associated with a primary disease 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 a body system of the patient that is a site of the comorbidity, 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.

Abstract: 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.

Abstract: Methods, including a method, comprising selecting a plurality of dependent variables relating to each of a plurality of seizures in a patient; selecting a plurality of independent variables, wherein each independent variable comprises a therapy parameter, a therapy delivery parameter, a temporal factor, an environmental factor, or a patient factor; quantifying at least one relationship between each of at least two dependent variables and each of at least two independent variables; and performing an action in response to said quantifying, selected from reporting said at least one relationship, assessing an efficacy of a therapy, assessing an adverse effect of said therapy, providing a therapy modification recommendation, or adjusting said therapy. A medical device system capable of implementing a method. A non-transitory computer readable program storage medium containing instructions that, when executed by a computer, perform a method.