Abstract: Apparatus and method support a neurological event screening for a medical device. The medical device assists a user in determining a configuration of the medical device for delivering an effective treatment for a nervous system disorder. The medical device detects a neurological event, such as a seizure, and reports a neurological event focus location and a neurological event spread to the user. The user may use the information to provide a configuration of a therapeutic delivery unit and associated therapy parameters. Therapeutic treatment is delivered to the patient, and the medical device is provided an indication of the patient's acceptance to the treatment. The user may modify the configuration and therapy parameters in order to achieve efficacy and acceptance. Depending upon the patient's acceptance, therapy is applied in either an open loop mode or a closed loop mode. The medical device determines whether the treatment is successful in accordance with a criterion.

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 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: 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.

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.

Abstract: A method for assessment, optimization and logging of the effects of a therapy for a medical condition, including (a) receiving into a signal processor input signals indicative of the subject's brain activity; (b) characterizing the spatio-temporal behavior of the brain activity using the signals; (c) delivering a therapy to a target tissue of the subject; (d) characterizing the spatio-temporal effect of the therapy on the brain activity; (e) in response to the characterizing, optimizing at least one parameter of the therapy if the brain activity has not been satisfactorily modified and/or has been adversely modified by the therapy; (f) characterizing the spatio-temporal effect of the at least one optimized parameter; and (g) logging to memory the at least one optimized parameter. A computer readable program storage unit encoded with instructions that, when executed by a computer, performs the method.

Abstract: Apparatus and method support the configuration and testing of therapy parameters for a medical device system in the treatment of nervous system disorders. With the embodiment, the medical device system operates in a manual treatment therapy mode, in which the medical device system evaluates a set of information that is indicative of a system configuration. The medical device system determines if the set of information is acceptable. During the manual treatment therapy mode, the medical device system applies therapeutic treatment to a patient in accordance with the set of information. If the patient cannot tolerate the therapeutic treatment, the user indicates so through a user interface. The medical device system may associate the patient's intolerance to therapeutic treatments that equal or exceed the patient's level of tolerance. Moreover, the medical device system may use this information to prevent a delivery of therapeutic treatment that exceeds the patient's level of tolerance during a run mode.

Abstract: A method of treating a medical condition in a patient using an implantable medical device, comprising providing an electrical signal generator; providing at least a first electrode operatively coupled to the electrical signal generator and to a vagus nerve of the patient; sensing cardiac data of the patient; determining at least a first cardiac parameter based upon said cardiac data; setting at least a first value; declaring an unstable brain state of a patient from said at least a first cardiac parameter and said at least a first value; and adjusting the at least a first value. Also, a computer readable program storage device encoded with instructions that, when executed by a computer, performs the method. In addition, the implantable medical device used in the method.

Abstract: A failure detection and warning system for monitoring a medical device wherein the system includes means structured to passively or actively detect faults occurring in the medical device being monitored, and wherein the fault includes an unprogrammed and/or undesired shut off of the medical device being monitored or an unprogrammed and/or undesired shut-off of the output of the medical device being monitored by the system.

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 a 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 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.

Abstract: Methods, systems, and apparatus for determining probabilistic measures of seizure activity (PMSA) values based on a plurality of seizure detection algorithms and/or body signals used as inputs by the seizure detection algorithms. Use of the PMSA values to detect seizure activity based on a consensus of the algorithms and/or body signals, and/or warn, log, administer a therapy, or assess the efficacy of a therapy.

Abstract: Methods for detecting a seizure, by use of a wavelet transform maximum modulus (WTMM) algorithm applied to body data. A non-transitive, computer-readable storage device for storing data that when executed by a processor, perform such a method.

Abstract: Methods for detecting a seizure, by use of a short term average/long term average (STA/LTA) algorithm applied to body data. A non-transitive, computer-readable storage device for storing data that when executed by a processor, perform such a method.

Abstract: A method of treating a medical condition in a patient using an implantable medical device, comprising providing an electrical signal generator; providing at least a first electrode operatively coupled to the electrical signal generator and to a vagus nerve of the patient; sensing cardiac data of the patient; determining at least a first cardiac parameter based upon said cardiac data; setting at least a first value; declaring an unstable brain state of a patient from said at least a first cardiac parameter and said at least a first value; and adjusting the at least a first value. Also, a computer readable program storage device encoded with instructions that, when executed by a computer, performs the method. In addition, the implantable medical device used in the method.

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, 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.

Abstract: A method and system for monitoring and/or controlling a glycemic state of a subject, comprising a housing device having one or more chambers, extendable and retractable sensors, extendable and retractable catheters, insulin reservoir, neuroprotective agent reservoir, release mechanism for releasing insulin and neuroprotective agent into the subject, and a control mechanism with a processor for receiving and analyzing outputs from the sensors and for controlling the release mechanism, a clock mechanism for providing logging and/or circadian information to the processor.

Abstract: 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.