Patent classifications
A61N1/37235
Non-regular electrical stimulation patterns for treating neurological disorders
Systems and methods for stimulation of neurological tissue generate stimulation trains with temporal patterns of stimulation, in which the interval between electrical pulses (the inter-pulse intervals) changes or varies over time. Compared to conventional continuous, high rate pulse trains having regular (i.e., constant) inter-pulse intervals, the non-regular (i.e., not constant) pulse patterns or trains that embody features of the invention provide a lower average frequency.
Systems and methods for activating a circuit of an implant device
The present disclosure relates to systems and methods for activating a circuit of an implant device. Consistent with one implementation, an implant device is provided with a sensor including a working electrode (WE) and a counter electrode (CE). The sensor may be configured to generate a first current at the CE when the implant device is implanted in a body of a subject. A sensing circuit may also be provided that is electrically coupled to the WE of the sensor. The sensing circuit may be activated based on the first current and utilize the sensor to measure one or more parameters of an individual or other subject.
Digitally adjustable phrenic nerve stimulator system
A system for electrical ventilation stimulation of a patient including an implantable nerve stimulator including a stimulation circuit and a pulse generator that produces biphasic charge-balanced pulses to stimulate a phrenic nerve, an external digital programming device having near field communication transmission and a digital interface, and wherein the external digital programming device is used to control settings of the implantable nerve stimulator.
User-weighted closed loop adjustment of neuromodulation treatment
Systems and techniques are disclosed to generate programming parameters and modifications during closed-loop adjustment of an implantable neurostimulation device treatment programming, through the identification and application of weights determined from user input indications and rankings of therapy objectives. In an example, a system to generate programming values of a neurostimulation device performs operations that: obtains human input which indicates multiple therapy objectives for neurostimulation treatment of a human patient; operates a model (such as an artificial intelligence model) to determine parameter outputs for programming of the neurostimulation device; identifies weights, based on the therapy objectives, usable in the model; produces a composite output from the model, by applying the identified weights to a combination of the parameter outputs of the programming model; and the resulting composite output provides neurostimulation device programming values for neurostimulation treatment designed to address the therapy objectives.
Methods, systems, and devices for treating tinnitus with VNS pairing
A method of treating tinnitus comprising measuring a patient's hearing, determining the patient's hearing loss and the patient's tinnitus frequency using the measurements of the patient's hearing, programming a clinical controller with the measurements of the patient's hearing, selecting a plurality of therapeutic tones, where the therapeutic tones are selected to be at least a half-octave above or below of the patient's tinnitus frequency, setting an appropriate volume for each of the plurality of tones, repetitively playing each of the plurality of therapeutic tones, and pairing a vagus nerve stimulation pulse train with each playing of a therapeutic tone, thereby reducing the patient's perception of tinnitus.
System and Method For Electrical Stimulation of Anorectal Structures To Treat Urinary Dysfunction
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.
PROGRAMMING OF COCHLEAR IMPLANT ACCESSORIES
Pairing systems for pairing external devices to a cochlear implant system can comprise an external housing and an external pairing system. The external housing may comprise a first surface and one or more compartments, each configured to house an external device capable of wirelessly interfacing with an implantable cochlear implant system. The external pairing device may comprise a second surface and one or more corresponding near field communication devices. The near field communication devices may be arranged such that the first surface of the external housing can be aligned with the second surface of the external pairing device in such a way that each of the near field communication devices aligns with a corresponding compartment of the external housing. The external pairing device can provide communication between a programming device and external devices contained within compartments of the external housing via one or more corresponding near field communication devices.
SYSTEMS AND METHODS FOR OPTIMIZING IMPLANTABLE MEDICAL DEVICE CHARACTERISTICS USING DATA STRUCTURES AND GRAPHICAL REPRESENTATIONS
In some examples, a computing apparatus may determine information corresponding to a data structure and indicating delays associated with an atrium lead, a left ventricle (LV) lead, and a right ventricle (RV) lead based on one or more input variables. The computing apparatus may determine a plurality of individualized characteristics based on the information corresponding to the data structure. The computing apparatus may receive, from the plurality of measurement electrodes, a plurality of second sets of electrical measurements indicating second electrical signals applied to the patient's heart based on the plurality of individualized characteristics. The computing apparatus may determine cardiac resynchronization index (CRI) values using a first set of electrical measurements (e.g., native measurements) and the plurality of second sets of electrical measurements. The computing apparatus may generate a graphical representation based on a populated data structure and cause display of the graphical representation.
Modular Post and Partition Assembly for Equipment Sterilization
The present disclosure provides advantageous post and partition assembly that is configured and adapted to promote modularity and withstand the harsh environment of central sterile processing processes. Modular post assembly may be removed and relocated on tray without additional fasteners or components. Tray and bracket assembly may further provide identification features to correctly associate cataloged reusable medical devices to identified trays.
GUIDED REHABILITATION TO RELEARN MOTOR CONTROL USING NEUROMUSCULAR ELECTRICAL STIMULATION
In rehabilitation, a stimulation pattern when applied to a body part by a neuromuscular electrical stimulation (NMES) device is effective to cause the body part to perform an intended action. The applying includes increasing a stimulation level at which the stimulation pattern is applied over time and, during the applying, acquiring video of the body part. The body part is monitored during the applying by analysis of the video, and the applying is automatically stopped in response to the monitoring indicating the body part has performed the intended action. The stimulation pattern may be defined as one or more subsets of electrodes of the NMES device and an electrode group stimulation level for each respective subset of electrodes, and the increasing of the stimulation level comprises increasing a scaling factor applied to the electrode group stimulation levels over time.