A system and method for treating anorectal and/or genitourinary dysfunction includes implanting, in a minimally invasive manner, an electro-medical device for stimulation of two or more anatomical or histological structures of the anorectal region and/or genitourinary region. Electrodes operably connected to the device are positioned proximate the target anatomical or histological structures. The device provides either the same or different stimulation algorithms to each anatomical or histological structure, which may be the same or different. The varied stimulation parameters, such as pulse width, pulse amplitude, and pulse frequency, are defined such that after an application of the electrical pulses, an abdominal leak pressure, an abdominal leak volume, or a urine volume increases or a number of incontinent episodes or a mean incontinence volume per episode decreases relative to said parameters prior to the application of the electrical pulses.

Electrical crosstalk between two implantable medical devices or two different therapy modules of a common implantable medical device may be evaluated, and, in some examples, mitigated. In some examples, one of the implantable medical devices or therapy modules delivers electrical stimulation to a nonmyocardial tissue site or a nonvascular cardiac tissue site, and the other implantable medical device or therapy module delivers cardiac rhythm management therapy to a heart of the patient.

A system and method may provide for conducting a stimulation of anatomic regions to treat a neuromotor, neurocognitive or neuromotor and neurocognitive disorder, according to which stimulation, motor regions are stimulated, while creep of current to non-motor regions is minimized. Stimulation parameters may be selected based on tests of motor function, tests of cognitive function, and tests of a combination of motor and cognitive functions.

This disclosure includes techniques for securing the proximal ends of a medical lead to the connector block of an IMD with a fastener device that incorporates a flexible clamp. A fastener device for a medical device comprising a flexible clamp forming a clamp aperture, wherein the flexible clamp includes a clamp protrusion configured to facilitate actuation of the flexible clamp, a rigid body, wherein the rigid body connects to and surrounds the flexible clamp, and an actuator configured to actuate on the clamp protrusion to change a perimeter of the clamp aperture, wherein the change of the perimeter of the clamp aperture by the actuator is configured to apply a compressive force about a perimeter of an electrical contact of a medical lead in the clamp aperture to electrically and mechanically connect the medical lead to the fastener device.

A stimulation lead can include segmented electrodes arranged in a single or double helix or other helical arrangement. In one method of manufacture, an electrode carrier with segmented electrode receiving openings is used. Another method employs a connected framework of helically arranged pre-electrodes that are separated during manufacture. Yet another method employs a mold to generate a planar carrier over the segmented electrodes followed by rolling the carrier into a cylinder. A further method includes forming an electrode assembly by alternative segmented electrodes with non-conducting spacers.

Systems, methods, and graphical user interfaces are described herein for non-invasively detecting phrenic nerve stimulation during cardiac pacing therapy. Phrenic nerve stimulation information may be generated for one or more electrical pacing vectors at one or more power configurations. The phrenic nerve stimulation information may be displayed to a user for use in configuring and/or evaluating cardiac pacing therapy.

Arrangements are described for generating electrode stimulation signals for an implanted electrode array having multiple stimulation contacts. An audio input preprocessor receives an input audio signal and generates band pass signals that represent associated bands of audio frequencies. A band pass signal analyzer analyzes each band pass signal to detect when one of the band pass signal components reaches a defined transition event state. A stimulation signal generator generates a set of electrode stimulation signals for the stimulation contacts from the band pass signals such that the electrode stimulation signals to a given stimulation contact: i. use a transition event stimulation pattern whenever a transition event is detected in a band pass signal associated with the given stimulation contact, and ii. use a different non-transition stimulation pattern after the transition event stimulation pattern until a next subsequent transition event is detected.

A control device of an electrostimulator is used in the electrostimulator including an electrode, an angular velocity sensor, and a notifier. The control device includes a controller that controls electrostimulation which is output from the electrode and that counts the number of times of movements as the number of times of the reciprocating movements of the target site; and a storage that stores preset information. The storage stores a first threshold value and a second threshold value. The controller causes the notifier to display movement information including the number of times of the movements, based on a state in which an angular velocity reaches the second threshold value after reaching the first threshold value.

Techniques for automatically analyzing neural activity within a target neural region. In one example, electrical stimulation is applied to the target neural region at an initial current level that approximates a typical threshold-Neural Response Telemetry (NRT) level. An NRT measurement of neural activity within the target neural region in response to the stimulation is recorded. A machine-learned expert system, which is configured with a decision tree that includes at least two levels of nodes which consider parameters relating to the NRT measurement, respectively, is utilized to predict, based on one or more features of the neural activity, whether the NRT measurement includes a neural response or does not include a neural response.

Techniques for automatically analyzing neural activity within a target neural region. In one example, electrical stimulation is applied to the target neural region at an initial current level that approximates a typical threshold-Neural Response Telemetry (NRT) level. An NRT measurement of neural activity within the target neural region in response to the stimulation is recorded. A machine-learned expert system, which is configured with a decision tree that includes at least two levels of nodes which consider parameters relating to the NRT measurement, respectively, is utilized to predict, based on one or more features of the neural activity, whether the NRT measurement includes a neural response or does not include a neural response.