Abstract: In some embodiments, the present disclosure relates to a medical device system, comprising: a medical device capable of receiving a plurality of body signal types, wherein the body signal types comprise an electrical body signal, a temperature body signal, or a pressure body signal; and an electrode operatively coupled to the medical device, the electrode capable of sensing a plurality of body signal types, wherein the body signal types comprise an electrical body signal, a temperature body signal, or a pressure body signal; the electrode comprising: an electrical sensor; a temperature sensor; and a pressure sensor.

Abstract: We report method of detecting a pathological body state of a patient, comprising receiving a body signal of the patient; determining a body index from said body signal; determining an activity level of said patient; determining a value range for said body index for said patient, based at least in part on said activity level; comparing said body index to said value range; and detecting a pathological state when said body index is outside said value range. 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.

Abstract: We report a method of treating an epileptic seizure in a patient, comprising: detecting said epileptic seizure, based on body data from said patient; and reducing a flow of blood to a brain of said patient in response to said detected seizure; wherein said reducing is effected by at least one of: applying a pressure, applying a cooling, or administering a vasoconstrictive agent to a vessel supplying blood to at least a portion of the brain. 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.

Abstract: 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.

Abstract: 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.

Abstract: We disclose methods and medical device systems for automated delivery of therapies for pain and determination of need for and safety of treatment. In one embodiment, such a medical device system may comprise a sensor configured to sense at least one body signal from a patient; and a medical device configured to receive a first sensed body signal from the sensor; determine a patient pain index based at least in part on said first sensed body signal; determine whether said patient pain index is above at least a first pain index threshold; determine a safety index based at least in part on a second sensed body signal; select a pain treatment regimen based on at least one of said safety index and or a determination that said pain index is above said first pain index threshold; and deliver said pain treatment regimen.

Abstract: We report a method for optimizing the therapeutic efficacy of evoked responses elicited by one or more electrical impulses delivered to a neural structure, comprising: comparing a test evoked response to an evoked response elicited by therapeutically efficacious electrical stimulation; adjusting at least one parameter of the electrical impulses in response to a determination that said test evoked response is not similar to the therapeutic evoked response; determining that the test evoked response resembles the therapeutic evoked response after performing at least one of said adjustments; and saving to memory at least one adjusted parameter that increased the similarity between the test evoked response and the therapeutic evoked response. 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.

Abstract: We report a method of detecting a pathological body state of a patient, comprising receiving a body signal of the patient; determining a BDV from said body signal; determining an activity level of said patient; determining a value range for said BDV for said patient, based at least in part on said activity level; comparing said BDV to said value range; and detecting a pathological state when said BDV is outside said value range. 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.

Abstract: We report a method of determining an occurrence of an epileptic convulsive seizure in a patient, comprising: receiving body data from a patient during a first time period, determining a work level relating to said first time period at least based partially upon said body data; determining whether said work level exceeds an extreme work level threshold; performing a responsive action, in response to a determination that said work level exceeds said extreme work level threshold. 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.

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: 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 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.

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.

Abstract: In one embodiment, the present disclosure relates to an implantable sensor system for sensing biological signal of a patient comprising: an anchor for coupling the sensor to at least one patient skull base structure; a first sensor coupled to the anchor for sensing, at a first location proximate to the at least one patient skull base structure, at least one biological signal of a patient; and a transmitter coupled to the sensor and capable of transmitting data from the sensor to an external device.

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: 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, 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 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: 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.