Methods for treating and managing pain in a patient with therapeutic neuromodulation and associated systems and methods are disclosed herein. Chronic or debilitating pain can be associated, for example, with a disease or condition of the abdominal or reproductive viscera. One aspect of the present technology is directed to methods that at least partially inhibit sympathetic neural activity in nerves proximate a target blood vessel of a diseased or damaged organ of a patient experiencing pain. Targeted sympathetic nerve activity can be modulated at least along afferent pathways which can improve a measurable parameter associated with the pain of the patient The modulation can be achieved, for example, using an intravascularly positioned catheter carrying a therapeutic assembly, e.g., a therapeutic assembly configured to use electrically-induced, thermally-induced, and/or chemically-induced approaches to modulate the target sympathetic nerve.

The invention relates to a method for detecting epileptic or psychogenic seizures, comprising the steps of: a. recording a large number of temporally sequential parameter values for a parameter type, wherein a parameter value is determined on the basis of a series of temporally sequential RR intervals, the series of temporally sequential parameter values preferably differing in that the series that served as the basis for determining the following parameter value includes, in place of the oldest RR interval of the series that served as the basis for determining the preceding parameter value (preceding series), the RR interval temporally subsequent to the most recent RR interval of the preceding series, b. comparing the time course of the parameter values with the time course of parameter values for the same parameter type that had been determined according to method step a, and the determination thereof is based on RR intervals that indicate a seizure (parameter reference values), c. identifying a seizure when the time course of the parameter values exhibits a characteristic of the time course of the parameter reference values (course characteristic) indicating a seizure.

A method for assessing a patient's suitability for receiving a vagus nerve stimulation therapy includes receiving a criterion regarding the patient's suitability for receiving a vagus nerve stimulation therapy; controlling a stimulation device to provide stimulation to a vagus nerve of the patient; receiving, from a sensor, response data indicative of a physiological response of the patient to the stimulation of the vagus nerve; and determining the patient's suitability for receiving the vagus nerve stimulation therapy based on the criterion and the physiological response of the patient to the stimulation.

An example system disclosed herein includes an analyzer to analyze first neuro-response data and second neuro-response data and a selector to identify a candidate location in source material for introduction of an advertisement or entertainment based on first neuro-response data and second neuro-response data. The analyzer is to detect a first pattern of oscillation in a first frequency band of third neuro-response data; detect a second pattern of oscillation in a second frequency band of the third neuro-response data; determine a degree of phase synchrony or amplitude synchrony based on the first pattern of oscillation and the second pattern of oscillation; and determine an effectiveness of the advertisement or entertainment based on the degree of phase synchrony or amplitude synchrony.

The invention relates to an active implantable medical device comprising a processing unit able to be alternately operated during a predetermined period of activity and on standby during a standby period in a cyclical manner, and means for acquiring data relating to physiological and/or physical activity. The device also comprises means for calculating a frequency analysis of the data acquired, said calculating means being capable of successively perform part of the frequency analysis during periods of activity of the processing unit.

A method for calculating a numerical data pair representing an emotional state comprises: acquiring: ⋅a first series of physiological signals by a GSR and/or EDA electrodermal sensor; ⋅a second series of PPG physiological signals by a heart rate sensor; ⋅transmitting to a remote server the timestamped signals as well as an identifier of the acquisition device; and ⋅processing the signals to characterize an S.sub.arousal, S.sub.valence data pair. The processing of the first series of signals is of the empirical mode decomposition (EMD) type over a sliding time window, the result of which provides the first S.sub.arousal value of the pair (arousal level). Processing of the second series of signals comprises a step of band-pass filtering of frequencies between 0.04 and 0.26 Hz and of peak detection and RR inter-peak time measurement, over the sliding time window, the result of which provides the second S.sub.valence value of the pair (valence).

An example of a system for delivering neurostimulation to a patient and controlling the delivery of neurostimulation using sensors may include a stimulation output circuit, a sensing circuit, and a control circuit. The stimulation output circuit may be configured to deliver the neurostimulation. The sensing circuit may be configured to receive sensed signals from the sensors and to process the sensed signals. The sensing circuit has adjustable settings controlling the processing of the sensed signals. The control circuit may be configured to control the delivery of the neurostimulation using the processed sensed signals and to control the settings of the sensing circuit according to a sequence of sensing blocks each including a set of sensing parameters.

An example system to identify an advertisement to include in source material to increase an effectiveness of the advertisement includes an analyzer to determine one or more priming characteristics for a plurality of locations of a source material based on neuro-response data collected from a first subject exposed to the source material and a selector to identify an attribute of the advertisement, identify at least one of a temporal attribute or a spatial attribute for the plurality of locations, perform a comparison of the attribute of the advertisement to the at least one of the temporal attribute or the spatial attribute for the plurality of locations, select a first location of the plurality of locations for insertion of the advertisement based on the comparison and the priming characteristics, and transform the source material to include the advertisement at the first location.

A neurostimulation system includes a programming control circuit and a user interface. The programming control circuit may be configured to generate a plurality of stimulation parameters controlling delivery of neurostimulation pulses according to one or more neurostimulation programs each specifying a pattern of the neurostimulation pulses. The user interface includes a display screen, a user input device, and a neurostimulation program circuit. The neurostimulation program circuit may be configured to allow for construction of one or more pulse trains (PTs) and one or more train groupings (TGs) of the one or more neurostimulation programs, and to allow for scheduling of delivery of the one or more neurostimulation programs, using the display screen and the user input device. Each PT includes one or more pulse blocks each including a plurality of pulses of the neurostimulation pulses. Each TG includes one or more PTs.

The present disclosure describes a system for detecting abnormal blood pressure or blood volume in a user, the system comprising a processing system; a pulse transit time (PTT) detection system for providing a PTT signal indicative of a PTT of the user to the processing system, wherein PTT of the user is used as a surrogate for a blood pressure (BP) of the user; and an electrodermal activity (EDA) detection system for providing an EDA signal indicative of an EDA of the user to the processing system; wherein the processing system processes the PTT signal and the EDA signal to determine an index indicative of an abnormal blood pressure or blood volume of the user.