A61N1/36132

BRAIN MONITORING AND STIMULATION DEVICES AND METHODS
20230051757 · 2023-02-16 ·

Embodiments may provide self-guided, self-directed diagnostics and treatment of neural conditions. For example, a system may comprise a processor, memory accessible by the processor, and program instructions and data stored in the memory, a plurality of stimulation devices connected to signal output circuitry interfacing the processor with the stimulation devices, program instructions and data to control the stimulation devices to generate and transmit stimulation signals, a plurality of sensing devices connected to signal input circuitry interfacing the processor with the sensing devices, program instructions and data to receive sensed signals from the sensing devices, a communication device adapted to wirelessly communicate with a server computer system, and program instructions and data to perform dynamic closed loop feedback of the stimulation signals based on the received sensed signals to provide self-guided, self-directed diagnostics and treatment of neural conditions using at least one recipe for a treatment strategy guided by artificial intelligence.

METHODS FOR TREATING TINNITUS WITH VNS
20230040112 · 2023-02-09 ·

A method (of treating a patient who has tinnitus) includes: providing to the patient a series of tones including at least a single tone which is at least a half-octave outside a tinnitus frequency of the patient; and applying vagus nerve stimulation to the patient to induce a period of plasticity in a cortex of the patient that is transitory and that represents a transitory opportunity for learning to occur; and wherein the at least a single tone occurs during the transitory opportunity for learning.

SYSTEMS, METHODS, AND DEVICES FOR EVALUATING LEAD PLACEMENT BASED ON GENERATED VISUAL REPRESENTATIONS OF SACRUM AND LEAD
20180008834 · 2018-01-11 ·

A method of evaluating an implantation of a lead is disclosed. Via a graphical user interface of an electronic device, a visual representation of a sacrum of the patient and a lead that is implanted in the sacrum is displayed. The lead includes a plurality of electrode contacts. An evaluation is made as to how well the lead has been implanted in the sacrum based on the visual representation of the sacrum and the lead. The evaluating comprises: determining whether the lead is inserted in a predetermined region of the sacrum, determining how far a predetermined one of the electrode contacts is located from an edge of the sacrum, and determining a degree of curvature of the lead.

Automatic determination of inputs for closed-loop algorithms for optimization of stimulation parameters

Methods and systems for facilitating the determining and setting of stimulation parameters for programming an electrical stimulation system are disclosed. The disclosed systems and methods use algorithms to identify patient-specific metrics to use as feedback variables for optimizing stimulation parameters for a patient. The patient-specific metric(s) are determined by ranking a plurality of clinical indicators for the patient with and without the presence of a medical intervention to determine which clinical indicators respond most strongly to the medical intervention. The clinical indicators that respond most strongly can be used as the patient-specific metric for optimizing stimulation, or a composite patient-specific metric may be derived as a mathematical combination of a plurality of clinical indicators that respond well to the intervention.

METHODS FOR PROGRAMMING A DEEP BRAIN STIMULATION SYSTEM AND A CLINICIAN PROGRAMMER DEVICE

In some embodiments, a clinician programmer device for controlling a deep brain stimulation (DBS) system is adapted to assist a clinician to conduct an electrode screening review for the DBS system including screening of segmented electrodes. The clinician programmer stores software code for conducting a screening review in memory. The software code may comprise: code for providing one or more interface screens for guiding the user of the device through testing of electrode configurations of the implantable stimulation lead, wherein the code for providing applies at least one testing progression for guiding the user of the device through a defined testing order.

Power Efficient Stimulators

This disclosure relates to a device for applying a neural stimulus. A battery supplies electrical energy at a battery voltage and an electrode applies the electrical energy to neural tissue. A circuit measures the nervous response of the tissue and a voltage converter receives the electrical energy from the battery and controls a voltage applied to the electrode based on the measured nervous response of the tissue. This direct voltage control is energy efficient because losses across a typical current mirror are avoided. Further, the control based on the measured nervous response leads to automatic compensation of impedance variation due to in-growth or change in posture. As a result, the stimulation results in a desired neural response.

Systems, devices, components and methods for the delivery of electrical stimulation to cranial nerves to treat mood or mood affective disorders
11559686 · 2023-01-24 ·

Disclosed are various examples and embodiments of systems, devices, components and methods configured to treat mood disorders in a patient using a compact implantable neurostimulator and corresponding lead(s) that are shaped, sized and configured to be implanted beneath a patient's skin in the head or neck, and to stimulate one or more target cranial nerves. The one or more medical electrical leads comprising electrode(s) are positioned adjacent to, in contact with, or in operative positional relationship to, the one or more target cranial nerves of the patient. In some embodiments, electrical stimulation is provided to the one or more target cranial nerve(s) of the patient for periods of time ranging between 30 and 60 minutes, once or twice per day. In some embodiments, power is provided to the implantable neurostimulator transcutaneously by inductive, wireless, RF, acoustic, microwave, or other suitable non-invasive means.

Multimodal brain sensing lead
11690553 · 2023-07-04 · ·

A medical lead with at least a distal portion thereof implantable in the brain of a patient is described, together with methods and systems for using the lead. The lead is provided with at least two sensing modalities (e.g., two or more sensing modalities for measurements of field potential measurements, neuronal single unit activity, neuronal multi unit activity, optical blood volume, optical blood oxygenation, voltammetry and rheoencephalography). Acquisition of measurements and the lead components and other components for accomplishing a measurement in each modality are also described as are various applications for the multimodal brain sensing lead.

MEDICAL LEAD RECONFIGURATION SYSTEM
20230001183 · 2023-01-05 ·

A medical device for electrical stimulation therapy including an implantable lead with multiple levels of lead electrodes in a first segmented electrode configuration, at least one level of the lead electrodes comprising segmented electrodes. A flexible member is configured to be disposed over the first electrode segmented electrode configuration, the flexible member having a first inner side and a first set of member electrodes, at least some of the first set of member electrodes configured to be positioned to electrically contact corresponding lead electrodes of the first segmented electrode configuration. The flexible member having a second outer side and a second set of member electrodes in a second segmented electrode configuration which is different than the first segmented electrode configuration, at least some of the second set of member electrodes electrically coupled to corresponding member electrodes of the first set of member electrodes.

SYSTEM AND METHOD FOR SELF-PROGRAMMING STIMULATION SETTINGS
20230001185 · 2023-01-05 · ·

A method includes configuring, by a computing device, stimulation settings for each electrode in an at least one electrode array in physical contact with a patient, the stimulation settings having adjustable parameters comprising frequency, pulse width, and amplitude, obtaining, by the computing device, feedback information from the patient, and automatically adjusting, by the computing device, at least one of the adjustable parameters based on the feedback information from the patient.