50 results about "Deep brain stimulation" patented technology

A method of facilitating a skill learning process or improving performance of a task, comprising: determining a brainwave pattern reflecting neuronal activity of a skilled subject while engaged in a respective skill or task; processing the determined brainwave pattern with at least one automated processor; and subjecting a subject training in the respective skill or task to brain entrainment by a stimulus selected from the group consisting of one or more of a sensory excitation, a peripheral excitation, a transcranial excitation, and a deep brain stimulation, dependent on the processed temporal pattern extracted from brainwaves reflecting neuronal activity of the skilled subject.

Embodiments of present disclosure provide systems and methods relating to neuromodulation. In particular, the present disclosure provides systems and methods for administering deep brain stimulation (DBS), and for evaluating the efficacy and efficiency of DBS for the treatment of neurological conditions (e.g., Parkinson's disease).

The present disclosure relates to a method for suggesting personalized and symptom-specific DBS stimulation parameters, comprising the steps of: creating a three-dimensional symptom network library comprising a data-driven three-dimensional model of symptom-specific nerve tracts in a stereotactic space established based on a detailed and comprehensive pathway profile; registering patient data with the three-dimensional symptom network library to analyze how an electrode of a single patient is mapped thereto; stimulation parameters are derived and suggested from baseline symptom severity characteristics for each patient. Another object of the invention relates to a system for predicting DBS parameters, the system comprising an interface for providing DBS parameters to an electrode and receiving signals from a patient, and a computer programmable unit comprising a data memory for storing a network library of three-dimensional symptoms, the three-dimensional symptom network library includes a stored data driven three-dimensional model of symptom-specific nerve tracts in a stereotactic space established based on detailed and comprehensive pathways for predicting DBS parameters.

A stimulation electric field display method, an apparatus, an electronic device, and a storage medium. The method comprises: in response to a model display operation, determining a target object and a brain tissue image model corresponding to the target object, wherein the brain tissue image model comprises at least one electrode model for deep brain stimulation (S110); in response to an electrode configuration operation, determining electrode configuration information and stimulation parameter application information of each electrode model (S120); and in response to an electric field display operation, determining program-controlled electric field information of the at least one electrode model under the electrode configuration information and the stimulation parameter application information, and displaying the program-controlled electric field information on the displayed brain tissue image model (S130).

Techniques are disclosed for defining a homeostatic window for controlling delivery of electrical stimulation therapy to a patient. In one example, a method includes generating and delivering electrical stimulation therapy to tissue of a patient via electrodes. Further, the method includes adjusting a level of a parameter of the electrical stimulation therapy such that a signal of the patient is not less than a lower bound and not greater than an upper bound. The lower bound is determined to be the magnitude of the signal while receiving electrical stimulation therapy sufficient to reduce one or more symptoms of a disease while the patient was receiving medication for reduction of the one or more symptoms. Further, the upper bound is determined to be the magnitude of the signal while receiving electrical stimulation therapy sufficient to reduce the one or more symptoms when the patient was not receiving the medication.

Embodiments of an implantable system and apparatus for providing electrical and optical deep brain stimulation are disclosed. Through the biological introduction of light-responsive opsins to neurons, the system is operable to transform neurons into optogenetically programmable state and history-dependent logical transformers. Embedded processors of the system are operable to stimulate individual neurons using phase-shifted electrical and / or optical signals through a neural interface comprising a plurality of carbon nanotubes, then electrically and / or optically measure the neurons. Due to the parallelism and chemical superposition of the human brain, the implantable system is operable to establish a quantum-like processing ability using its neural interface.

This disclosure is directed to devices, systems, and techniques for delivering electrical stimulation. In some examples, a system includes processing circuitry configured to: receive information representative of a bioelectric brain signal recorded from a brain of a patient; and determine, based on the information, at least one pathological frequency of the bioelectric brain signal. Additionally, the processing circuitry is configured to select, based on the at least one pathological frequency, a sequence of pulse bursts at a pulse burst frequency, the sequence of pulse bursts at least partially defining electrical stimulation deliverable to an area of a brain of a patient, wherein adjacent pulse bursts within the sequence comprise different intra-burst pulse frequencies; and control a medical device to deliver the electrical stimulation comprising the sequence of pulse bursts to the area of the brain of the patient.

The utility model discloses a kind of electromagnetic shielding's mouse brain deep electrical stimulation and collection device, including protective shell and shielding shell, protective shell bottom is equipped with opening, top is equipped with connecting port, opening is fixedly adhered with animal skull surface, electrode main body, adapter terminal wire and USB conversion interface connected in sequence are equipped in protective shell, electrode main body implants in animal brain through opening;Shielding shell is inserted with connecting port, shielding shell is inserted with connecting port in, USB interface and preamplifier are equipped in shielding shell, USB interface connects USB conversion interface, preamplifier is connected host computer by data line and passes out shielding shell.The utility model, the production and composition of electrode are modularized split, standardization production and surgical implantation process;Modularization installed USB conversion interface hardware cost is very small, improve the Omnetics interface utilization of host computer;USB conversion interface and electrode main body between using adapter terminal wire, namely soft line connection, can avoid the screw drop caused by multiple plug and unplug, prolongs the implantation time of electrode.

Provided herein are wire fixation instruments and methods of using wire fixation instruments to mount a stimulation wire to a skull. The lead fixation instrument may be used to mount a stimulation lead for deep brain stimulation. The wire fixation instrument may maintain the relative position of the stimulation wire while allowing the wire to axially float. The wire fixation instrument may include one or more flexure or bellows couplers to maintain the position of the stimulation wire while isolating forces acting on the wire.

The invention relates to the technical field of medical electronics and artificial intelligence crossing, in particular to an implantable closed-loop deep brain nerve stimulation system and method with edge intelligence. The system comprises a core master control and functional circuit module, a pulse generation module, a deep brain electrode, a physiological signal acquisition module, a wireless communication module and a power management module. The core of the method is that a lightweight long-short-term memory network model is locally integrated and operated in an implantable device, electroencephalogram signals collected in real time are subjected to preprocessing and pathological state recognition, and the pathological states comprise multiple symptoms and different degrees of the symptoms; and according to the identified specific state, a corresponding electrical stimulation strategy is adaptively matched and executed to form closed-loop regulation and control. Real-time, accurate and personalized analysis of electroencephalogram signals is realized through edge intelligence, the technical problems that a traditional deep brain stimulation system depends on in-vitro equipment, response is delayed, and multiple symptoms and multiple degrees cannot be finely recognized are solved, and the effectiveness and safety of treatment are remarkably improved.

In some variations provided herein, the system for deep brain stimulation includes an implantable device that acquires and stores recordings of neural activity signals and applies electrical stimulation. The system also includes a personal controller device that establishes a first wireless connection to the implantable device. The personal controller device transmits power to the implantable device, and the implantable device transmits recordings of neural activity signals to the personal controller device via the first wireless connection. The system further includes a clinician programmer device that establishes a second wireless connection based on activation of the first wireless connection to receive recordings of neural activity signals from the implantable device. The clinician programmer device sets one or more stimulation parameters based on the neural activity signal recordings.

This invention discloses a neural microprobe for bimodal functional localization and precise electrical stimulation of deep brain nuclei in non-human primates. It comprises a basal layer, a conductive metal layer, and an insulating layer. The conductive layer includes a set of detection sites and stimulation sites. This invention employs a dry etching process on the back of the silicon basal layer using two insulating layers with opposite stresses, balancing the stress differences between the different materials. This overcomes the technological challenges of extending silicon microprobes and solves the problems of probe bending and low mechanical stress caused by the large aspect ratio of silicon probes in non-human primates. The detection sites acquire bimodal signals using modified nanomaterials and polymer anti-interference ion-exchange membranes as localization markers for functional localization. The detection sites are arranged between the positive and negative electrodes of the electrical stimulation, controlling the stimulation range to be near the detection sites, thus achieving precise electrical stimulation. This invention provides a new research method and means for deep brain stimulation therapy of diseases such as Parkinson's disease.

A stimulation engine configured to identify a fault condition in an implantable lead, including a regulator configured to deliver an electrical pulse between at least two electrodes of the implantable stimulation lead, and a sensing module configured to detect at least an initial voltage and a subsequent voltage between the at least two electrodes at different times during delivery of the electrical pulse, and compare at least the subsequent voltage to a defined threshold value representing an expected voltage at the same time during the electrical pulse to determine the presence of a fault condition.

The invention relates to the technical field of deep brain stimulation, in particular to a deep brain electrical stimulation parameter intelligent optimization method for Parkinson patients. According to the method, feature measurement is carried out on neural residual signals in the deep brain stimulation process, waveform slope features and observation credibility are analyzed through the neural residual signals, and therefore an artifact form penalty term and path accumulation cost are determined; based on the path accumulation cost, a dynamic programming algorithm is adopted to obtain pathological signal estimation intensity, the pathological signal estimation intensity is utilized to perform characteristic measurement on the pathological outbreak density, and the stimulation pulse amplitude in the deep brain stimulation process is optimized based on the pathological outbreak density. According to the method, the intensity is estimated by measuring the pathological signals, the problem of signal fragmentation of the pathological signals is avoided, and therefore the stimulation pulse amplitude in the deep brain stimulation process is accurately optimized.

Techniques are disclosed for delivering electrical stimulation therapy to a patient. In one example, a medical system delivers electrical stimulation therapy to a tissue of the patient via electrodes. The medical system determines a first change of a first sensed signal of the patient to movement by the patient and a second change of a second sensed signal of the patient to the movement by the patient. Based on the first change and the second change, the medical system selects one of the first sensed signal and the second sensed signal of the patient for controlling the electrical stimulation therapy. The medical system adjusts a level of at least one parameter of the electrical stimulation therapy based on the selected one of the first sensed signal and the second sensed signal.

There are many devices that are used to deliver electromagnetic energy to biological tissues. However, physical properties of current techniques limit the strength and efficacy of the applied field. This invention introduces a new apparatus for the application of evanescent waves into biological tissue. The apparatus is planar, conformal, and electrically insulated and is comprised of two or more conductive regions spatially separated by a non-conductive gap insulated by low-dielectric constant, non-conductive material. The apparatus is powered by one or more RF voltage sources that can be applied to individual or several conductive regions to create voltage differentials that generate evanescent waves. The apparatus can be used for treating cancer tumors, deep brain stimulation, and other therapeutic purposes.

The present application relates to the field of medical equipment, and particularly to a pulse generator and a control method thereof. The pulse generator of the present application uses the same pulse output circuit to send the same pulse output signal to the deep brain stimulation circuit and the vagus nerve stimulation circuit, so that the pulse generator can send the vagus nerve stimulation electrical signal to stimulate the vagus nerve and send the deep brain stimulation electrical signal to stimulate the deep brain. Since the deep brain stimulation electrical signal and the vagus nerve stimulation electrical signal are synchronously started based on the same pulse output signal, the two can be coordinated according to certain rules to achieve better therapeutic effect.

An implant that can be implanted non-invasive or minimally-invasively into the sphenoid cavity of a subject for delivery of stimulation to deep brain reward circuit nodes of the brain and / or to drive hormonal release through stimulation of nuclei in the hippocampus or cells in the pituitary or nearby structures such as blood vessels. The implant is alternatively or additionally capable of sensing signals in the deep brain, and for powering deep-brain implants (i.e., devices placed in the brain that are difficult to power from the scalp due to distance).

Methods and systems for providing stimulation to a patient's brain using one or more electrode leads implanted in the patient's brain are described. The methods and systems use evoked potentials (EPs) and other indicators of therapeutic effectiveness / side effects to provide closed-loop control of the stimulation. Some embodiments involve recording EPs and using one or more features of the EPs to model how the stimulation activates networks within the patient's brain. A control algorithm can be used to maintain the network activation within a predetermined ranges.

Provided is a closed-loop neuromodulation system involving coordinated intervention of the brain, the spinal cord, and the lumbosacral region, which comprises a deep brain stimulation unit (401), a deep brain field potential sensing unit (402), a spinal cord stimulation unit (501), an evoked potential sensing unit (502), a control decision-making unit (10), a deep brain electrode (403), a spinal cord electrode (503), a lumbosacral electrode (602), a docking lead (601), a radio frequency transmission unit (20), and a wireless charging and power management unit (30). By constructing an application strategy for coordinated regulation of the brain, the spinal cord, and the lumbosacral region, only one neurostimulator needs to be implanted. It can be used alone for brain diseases or spinal cord-related diseases, and can also be used for coordinated stimulation for motor function reconstruction and recovery in paralyzed patients and patients with motor dysfunction, as well as for the treatment of urinary system complications. The whole system is modular in application, can be selectively used according to disease conditions, and has a wider application range.

The present invention relates to a combined neuromodulation and / or neurostimulation system (10) for mitigating locomotor deficits and / or neuronal disorders, especially Parkinson's disease. Said system (10) comprises: - at least one deep brain stimulation (DBS) system for providing deep brain stimulation to the brain tissue of a subject (P), - at least one control unit, configured and adapted to provide stimulation data, - at least one stimulation unit (12), operatively connected to the at least one control unit, the at least one stimulation unit (12) being configured and adapted to deliver epidural electrical stimulation (EES) to the dorsal side of the spinal cord (S) of said subject (P), and - at least one implantable pulse generator (IPG) (13), wherein the at least one stimulation unit (12) includes one or more electrodes (14) configured to be implanted epidurally.The one or more electrodes (14) are operatively connected to at least one IPG (13).

Provided herein are lead and stylet systems and methods of implanting a lead into the brain using a stylet. The lead may be used for deep brain stimulation (DBS) and may be connected to a skull-mounted implantable pulse generator (IPG) of a deep brain stimulation system. The lead may include a lumen configured to removably receive a stylet to assist in implanting an electrode disposed on the lead into the brain. The lead and stylet systems described herein may allow for a minimum of excess lead length between an implantation site of the lead in the brain and an implantable pulse generator (e.g., implanted in the skull).

Systems and methods for configuring a neurostimulation system to identify optimized therapy for a patient. Position data and anatomical data of a lead implanted within a patient are obtained. A non-linear response structure is identified within a patient, and a therapy metric is generated using a non-linear function of the number of volume segments in the non-linear response structure, which is to be activated by a given therapy configuration that includes a combination of current subdivision and current amplitude.

Disclosed herein is a system and method for performing floating transcranial electrical stimulation in which one or more free-floating insulated wires or bundles of wires are surgically implanted in the brain. The wires have exposed electrodes at both ends and are coupled with an electrode array applied to an external surface of the skull. The single wire or a bundle of wires acts to relay an electric field generated by the electrode array to a target area deep in the brain, thereby realizing the benefits of conventional deep brain stimulation without the inherent risk of infection associated therewith.

Systems, devices, and methods support sensing one or more electrical signals from one or more electrodes in contact with or proximate to an anatomical element, determining variance values associated with a plurality of metric values of the one or more electrical signals, generating a control signal based on a comparison of the variance values to a threshold variance value, and delivering treatment for the anatomical element in response to the control signal.

The embodiment is a Parkinson's disease deep brain electrical stimulation hierarchical program control and remote cooperative system, candidate action sets are generated and output by an action output end based on observation data, disease information and current hierarchical state of a patient, a final judgment is made by a doctor end based on on-site data collected by a local end and the candidate action sets output by the action output end, and then a final executed action is determined, the determined action is input to the local end after the doctor end determines the final executed action, and the local end executes based on the received action, the embodiment forms an automatic program control decision pipeline from "raw data - scene recognition - candidate generation - safety filtering", and through hierarchical determination and candidate set screening, clinical consensus and safety boundaries are solidified into system logic, so that program control decision is more standardized and reproducible, and then human differences are reduced.

Systems and methods for providing evoked response guided multi-site deep brain stimulation (DSB) at various brain targets are disclosed. An exemplary system includes at least one multi-electrode lead, an electrical stimulator to provide electrical stimulation to a neural target, a sensing circuit to sense an evoked response (ER) to the electrical stimulation, and a controller circuit. In response to electrical stimulation of the first neural target in accordance with the first stimulation setting, the controller circuit collects the ER from the first sensing location and determines or adjusts a second stimulation setting for stimulating the second neural target based on the sensed ER at the first neural target. The second neural target may be stimulated according to the second stimulation setting to modulate the ER of the electrical stimulation at the first neural target and produce a desired therapeutic outcome in the patient.

The present invention amalgamates the domains of deep brain stimulation, wearable and wireless inertial sensor systems, machine learning, and multidisciplinary design optimization to achieve an optimal parameter configuration. This present invention's respective amalgamation attains a means to automate the acquisition of an optimal parameter configuration for deep brain stimulation for movement disorders, such as essential tremor and Parkinson's disease, in a closed loop context. Wearable inertial sensors provide quantified feedback of movement disorder response to a deep brain stimulation parameter configuration. Using multidisciplinary design optimization, a minimal effective power, which is derived from tremor power and deep brain stimulation power, is acquired constituting an optimal parameter configuration.

The disclosed apparatus, systems and methods relate to interventional magnetic resonance imaging (iMRI). More specifically, clinical applications of the disclosed include magnetic resonance (MR) guided procedures such as endovascular interventions, percutaneous biopsies or deep brain stimulation