98 results about "Neurostimulation device" patented technology

The delivery of neurostimulation to a subject using a closed-loop neurostimulation device (e.g., using a brain stimulation device to provide neurostimulation to a subject's brain) is controlled based on a global optimization-based temporal prediction framework. As a result, the brain stimulation device (e.g., a transcranial magnetic stimulation (“TMS”) device) is synchronized with the ongoing neural state (e.g., brain state) in real time. For instance, a brain recording is analyzed to extract the brain process of interest (e.g., frequency of brain oscillations) and used train a prediction algorithm. After that, a stimulation stage is implemented, in which the individual brain state is analyzed in real-time, the occurrence of the biomarkers (e.g., brain oscillation phase) is predicted, and the stimulation is triggered at the expected time.

A wearable neurostimulation device is provided for providing transcutaneous peripheral nerve stimulation to a user. The neurostimulation device may include an enclosure housing the electronics for generating electric neurostimulation signals and an adjustable band detachably coupled to the enclosure. The enclosure may include a stimulation button and one or more auxiliary buttons. The band may be configured to be worn by a user, such as around the user's wrist or arm. The band may include a locking tab which prevents the loop from being opened. The band may comprise electrodes positioned to stimulate the user's radial and median nerves. Also provided is a charger for holding and charging the neurostimulation device. The band may include an RFID tag that wireless communicates with an RFID antenna in the charger. The charger may not charge the neurostimulation device if the band is determined to be beyond a threshold age.

A neurostimulation system that has a programmer which has a power supply and processors with processing circuitry and a neurostimulation device which has power supply, processors and communication circuitry for providing communication with a neurostimulation device as well as communication circuitry for communication with the programmer. The neurostimulation system is configured to deliver treatment to a patient in accordance with a clinician prescribed protocol of a regimen. The neurostimulation system compares a delivered therapy treatment which has a treatment protocol to a defined treatment protocol of a prescribed treatment and adjusts the prescribed treatment stimulation parameters to compensate for a difference between the delivered neurostimulation therapy treatment and the prescribed treatment protocol for closely approximating the prescribed treatment protocol.

Systems and techniques are disclosed to adjust programming of an implantable electrical neurostimulation device for treating chronic pain of a human subject, through the use of a dynamic model adapted to identify pain treatment parameters for a human patient and determine a best device operational program to implement the pain treatment parameters to address the chronic pain condition. In an example, the system to adjust programming of the neurostimulation device performs operations that: obtain data related to a state of pain of the human subject; identify pain treatment parameters using a dynamic model adapted to evaluate the pain treatment parameters in the human subject over a time period, based on the data related to the state of pain; and select a neurostimulation program for the neurostimulation device, corresponding to at least a portion of the identified pain treatment parameters.

A patient management system can include an implantable neurostimulation device configured to deliver vagus nerve stimulation (VNS) therapy to a patient and a non-invasive, external monitoring device comprising at least one sensor for detecting indicators of seizure or depression in the patient. In an example, the external monitoring device is configured to use information from the at least one sensor to detect a seizure event or a seizure precursor event, audibly ask questions of the patient and / or provide behavioral modification commands to the patient, and / or control the neurostimulation device to deliver the VNS therapy to the patient in response to a detected seizure event, seizure precursor event, or progression of depression symptoms.

An auditory neural interface device for sound perception by an individual that may be used as a hearing aid. The auditory neural interface device includes a receiver configured to receive sound signals, a processor operably connected to the receiver and configured to encode a received sound signal as a multi-channel neurostimulation signal, and a neurostimulation device operably connected to the processor and configured to apply the multi-channel neurostimulation signal to a neurostimulation electrode of the individual. The neurostimulation signal is configured to directly stimulate afferent sensory neurons of the central nervous system of the individual and thereby to elicit, for each channel of the neurostimulation signal, one or more non-auditory, preferably somatosensory, perceptions in a cortex area of the individual. Each channel of the neurostimulation signal is associated with a different non-auditory perception.

A system and method for automated neurostimulation programming uses machine learning to determine target stimulation or discard suboptimal parameters based on actual or anticipated clinical effects. The system includes processors to generate a database of previously acquired lead and / or brain images, tested stimulation settings and associated clinical effects. A region of interest surrounding at least one stimulation lead is identified. Stimulation settings linked to specific clinical effects, including beneficial or detrimental effects, are determined for the region of interest. A trained machine learning model identifies desirable, undesirable, target, or other stimulation parameter values for a new patient by classifying or regressing raw imaging data from the region of interest. The model is trained to recommend settings that produce desired clinical effects. An output provides the target stimulation parameter values predicted to maximize therapeutic benefit and minimize side effects. This enables automated programming of neurostimulation devices through data-driven machine learning based on clinical outcomes.

Systems and techniques are disclosed to identify and monitor side effects and treatment outcomes relating to neurostimulation programming. An example technique to identify a side effect relating to neurostimulation programming includes: obtaining neurostimulation programming parameters to be used in a neurostimulation device of a patient; obtaining source data that defines effects of neurostimulation treatment in an anatomical area of the patient; modeling use of the neurostimulation programming parameters in the anatomical area of the neurostimulation treatment, based on the source data, to determine a predicted side effect; and outputting information that identifies characteristics of the predicted side effect.

The invention discloses an ear nerve stimulator, and belongs to the technical field of biomedical engineering and nerve regulation and control. The device mainly comprises a plurality of flexible patches attached to the ear, ear electrodes arranged according to ear acupuncture points and embedded in the flexible patches, and a stimulator adopting a cross-ear design. And the flexible patch has biocompatibility and adhesion, so that comfortable and stable wearing is ensured. A control unit and a stimulation module are contained in the stimulator shell, and stimulation current parameters can be generated and accurately regulated and controlled. Through flexible fitting and precise acupoint electrode design, the defects that a traditional electrode is uncomfortable to wear, and a stimulation area is fixed and inaccurate are overcome. And the equipment is light and stable due to the ear-crossing structure. A selectable air pump and air bag mechanism further ensures the reliability of electric contact. The device can realize safe, accurate and comfortable ear vagus nerve stimulation, is suitable for treatment and rehabilitation of epilepsy, depression and other diseases, and has a wide application prospect.

Systems and techniques are disclosed to adapt neurostimulation programming in closed-loop adjustment of an implantable neurostimulation device, based on evaluation and weighting of patient data that excludes or reduces effects of interfering events. In an example, adapting a neurostimulation programming model includes: obtaining patient data observed during a prior time period; identifying events experienced by the patient during the prior time period (e.g., confounding events, intervention events) that cause variance in measurements of patient data; determining weighted data by weighting patient data observed during the one or more events, as the weighting of the patient data reduces effects of the patient data during the one or more events on a modification of the programming model; and modifying (e.g., re-training, reinforcing, or adapting) the programming model based on the weighted data. The modified programming model can then be used to generate updated programming parameters for subsequent neurostimulation treatment.

The invention discloses a wireless control method and system for a sacral nerve stimulator, and particularly relates to the technical field of nerve control. Myoelectricity, pressure and temperature signals in a sacral nerve area of a user are collected through a multi-modal sensor, an initial parameter set is generated through feature extraction, and the initial parameter set is dynamically matched with a preset physiological adaptation model to generate a target stimulation parameter set. The target parameters are subpackaged, encrypted and transmitted to the stimulator control module by using wireless communication protocols such as Bluetooth with low power consumption, and an executable stimulation instruction is generated; physiological feedback is monitored in real time in the execution process, and an optimized stimulation parameter set is dynamically adjusted and generated according to the deviation condition of the feedback and target parameters; meanwhile, optimizing parameters and historical data are synchronized to a cloud end, and cross-device data synchronization and mode verification are carried out; finally, a final control instruction is executed according to a safety verification result of the device, the method is suitable for nerve regulation and rehabilitation treatment, the prospect is wide, and self-adaptive adjustment and safety management and control of stimulation parameters are achieved.

This document discusses a neurostimulation device to monitor electrical neural activity when connected to implantable electrodes. The neurostimulation device includes a sensing circuit configured to sense sensing a local field potential (LFP) signal of a patient when connected to implantable electrodes and signal processing circuitry operatively coupled to the sensing circuit. The signal processing circuitry is configured to compute a power spectral density (PSD) of the sensed LFP signal, compute a slope of the PSD of the sensed LFP signal, and determine a physiological state of the patient using the computed slope of the PSD of the sensed LFP signal.

A method of predictive analysis of one or more characteristics associated with multiple neurostimulators used by respective multiple users, the method comprising: processing at a first site first input data collected from a first plurality of neurostimulation devices and / or neurostimulation users, and generating first machine learning model data from the first input data, the first machine learning model data comprising first model parameters; processing at a second site second input data collected from a second plurality of neurostimulation devices and / or neurostimulation users, and generating second machine learning model data from the second input data, the second machine learning model data comprising second model parameters; processing the first model parameters and the second model parameters to generate third machine learning model data representative of at least one neurostimulation characteristic; and using the third machine learning model data to predict evolution of at least one neurostimulation characteristic.

This document discusses a neurostimulation device. The neurostimulation device includes a stimulation circuit; a sensing circuit to sense evoked synaptic activity potential (ESAP) signals when coupled to the implantable lead, and a control circuit. The control circuit is configured to initiate delivery of neurostimulation energy by the stimulation circuit, initiate sensing by the sensing circuit of ESAP signals produced by the delivery of neurostimulation energy, change at least one parameter of the neurostimulation energy and continue the sensing of the ESAP signals, compare the sensed ESAP signals to a stored best sensed ESAP signal, wherein the best sensed ESAP signal was previously sensed at a recorded anatomical location using a different trial lead, and determine neurostimulation therapy parameters including a neurostimulation location to produce a best match ESAP signal at the recorded anatomical location that is a closest match to the stored best sensed ESAP signals.

Systems and techniques to determine programming of an implantable electrical neurostimulation device, through chronic pain treatment modeling that evaluates pain experience states and transitions for a patient. In an example, a system to determine programming of a neurostimulation device performs operations to: determine possible pathways to traverse pain experience states of a chronic pain condition, as the possible pathways provide respective paths among the states from a starting state to one or more intermediate states to a goal state; determine transition costs between the states used in the possible pathways, with respective pain experience states being associated with different pain management characteristics of neurostimulation therapy; identify a path of the possible pathways to reach the goal state, based on the transition costs and patient characteristics; and select programming parameters for the neurostimulation device, to provide neurostimulation therapy based on the identified path to achieve the goal state.

The utility model relates to the technical field of medical equipment, and provides a nerve stimulation acupuncture needle, which comprises a needle seat, a needle core, a conductor wire, a needle core, a needle core, a needle core, a needle core, a needle core, a needle core, a needle core, a needle core, a needle core and a needle core, the needle core and the conductor wire are electrically connected, and the needle seat is of an insulating material structure; the cannula is provided with a through hole, the cannula is arranged on the needle base and the needle core in a sleeving mode through the through hole, and scale marks are arranged on the outer side wall of the cannula and used for displaying the insertion depth of the needle core; the needle base and the needle core are slidably arranged along the through hole, and scale reference marks are arranged at the positions, close to the scale marks, of the needle base. During use, the needle core is slowly inserted into the subcutaneous part of a patient, the sleeve abuts against the skin of the patient, and at the moment, the needle base slides along the through hole of the sleeve. The scale mark pointed by the scale reference mark on the needle seat is the current depth of the needle core inserted into the subcutaneous part of the patient, and the sleeve with the scales helps a doctor to master the insertion depth. Meanwhile, the nerve stimulation acupuncture needle can be connected into a nerve stimulator, and a target nerve is searched through the nerve stimulator.

Disclosed is a neurostimulation system and method. A control unit controls a stimulus source to deliver neural stimuli via selected electrodes to a neural pathway according to a stimulus intensity parameter. An external computing device in communication with the neurostimulation device comprises a display and processor. The processor initialises the stimulus intensity parameter, and renders on the display a stimulation control and a graphical element adjacent the stimulation control. Upon user activation of the stimulation control, the processor ramps a value of the stimulus intensity parameter, while instructing the control unit to cause delivery of stimuli according to the ramping value of the stimulus intensity parameter. Upon user deactivation of the stimulation control, the processor ceases ramping the value of the stimulus intensity parameter. The graphical element is configured to dynamically indicate the ramping value of the stimulus intensity parameter; and indicate a discomfort threshold for the selected electrodes.

Systems and techniques to determine programming of an implantable electrical neurostimulation device, through chronic pain treatment modeling that evaluates pain experience states and transitions for a patient. In an example, a system to determine programming of a neurostimulation device performs operations to: determine possible pathways to traverse pain experience states of a chronic pain condition, as the possible pathways provide respective paths among the states from a starting state to one or more intermediate states to a goal state; determine transition costs between the states used in the possible pathways, with respective pain experience states being associated with different pain management characteristics of neurostimulation therapy; identify a path of the possible pathways to reach the goal state, based on the transition costs and patient characteristics; and select programming parameters for the neurostimulation device, to provide neurostimulation therapy based on the identified path to achieve the goal state.

A neurostimulation device with ultrasound transducer elements is disclosed. The ultrasound transducer elements may be adapted for endoluminal delivery to a deployment site in a lumen of the substrate. The transducer elements may be used to focus acoustic energy, by controlling either the phase delay, time delay, or both, or the ultrasound signals. Further, the plurality of transducer elements may be arranged in a grid arrangement having at least two dimensions.

A system is provided for connecting a surgically implantable neurostimulation device to an neurophysiological monitoring device. The system includes an apparatus connecting the neurophysiological monitoring device to the implanted neurostimulation device. The connecting apparatus includes a port couplable to the neurostimulation device and a plurality of electrode pin connectors extending from the port that are connectable to the neurophysiologic monitoring device. Using the connecting apparatus, signals from the neurophysiologic monitoring device can be transmitted for stimulation and responses can be transmitted to the neurophysiologic monitoring device to enable accurate positioning of electrodes of the neurostimulation device.

A leadless neurostimulation device configured for implantation in a leg of a patient comprising a header with a first electrode and an elongated main body containing stimulation circuitry and a battery with a second electrode extending circumferentially around at least a portion of the main body. The electrode configuration proves greater volume of tissue activation with lower power requirements and improved battery efficiency.

An implantable neurostimulation device includes a system for determining at least one physiological and / or at least one biological parameter. The device is configured to derive a health status based at least in part on the at least one parameter. The system includes at least one element or shares at least one element associated with a neurostimulation therapy for determining the at least one parameter. Further aspects relate to a method carried out by such a device and a computer program.

The invention discloses an in-ear non-invasive vagus nerve stimulator, and relates to the field of vagus nerve stimulators, and the in-ear non-invasive vagus nerve stimulator comprises an in-ear stimulating electrode, an electrocardiogram monitoring module, a pulse generator, a microcontroller and a man-machine interaction module. The microcontroller is used for controlling the pulse generator to generate electrical stimulation pulses with set stimulation intensity and set stimulation frequency according to the current stimulation parameters; the in-ear stimulation electrode is used for transmitting the electrical stimulation pulse to the vagus nerve of a user; the electrocardiogram monitoring module is used for monitoring electrocardiogram data of a user and calculating a heart rate value of the user according to the electrocardiogram data; the man-machine interaction module is used for a user to set initial stimulation parameters and adjust current stimulation parameters; the microcontroller is further used for controlling the man-machine interaction module to display the heart rate value and the current stimulation parameters in real time. The atrial fibrillation postoperative recurrence rate can be safely and effectively reduced with low cost.

Systems and techniques are disclosed to adjust programming of an implantable electrical neurostimulation device for treating chronic pain of a human subject, through the use of a dynamic model adapted to identify pain treatment parameters for a human patient and determine a best device operational program to implement the pain treatment parameters to address the chronic pain condition. In an example, the system to adjust programming of the neurostimulation device performs operations that: obtain data related to a state of pain of the human subject; identify pain treatment parameters using a dynamic model adapted to evaluate the pain treatment parameters in the human subject over a time period, based on the data related to the state of pain; and select a neurostimulation program for the neurostimulation device, corresponding to at least a portion of the identified pain treatment parameters.

1. Name of the product in this design: Walking Assistive Rehabilitation Device. 2. Purpose of this design: It is used in a walking rehabilitation device, which is a wearable functional neurostimulation instrument used for lower limb rehabilitation and recovery of muscles damaged by motor neurons. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1. 5. Other circumstances requiring explanation: The human lower limb model is a supporting element and is not part of the content for which protection is sought.

The utility model relates to the technical field of medical instruments, and discloses a vagus nerve stimulator suspension device which comprises a protection box, a box cover, a plate sleeve, a connecting plate and a fixing assembly. A long bandage is fixed to the top end of one side of the protection box through a bolt, and a hook-and-loop fastener sub-face is sewn to one side of the long bandage; the short bandage is fixed to the bottom end of one side of the protection box through bolts, the hook-and-loop fastener female face is sewn to one side of the short bandage, the plate sleeve is fixedly arranged on the side, away from the long bandage, of the protection box, the top end of the plate sleeve is sleeved with the connecting plate, the box cover is fixedly arranged on one side of the connecting plate, and the fixing assemblies are arranged on the two sides of the plate sleeve. The fixing assembly comprises sleeves arranged on the two sides of the plate sleeve at equal intervals. The ear nerve stimulator is arranged in the protection box and is fixed on the shoulder of a user through the long bandage and the short bandage, so that the ear nerve stimulator can be effectively protected, the movement and movement of the user cannot be influenced after the ear nerve stimulator is fixed, and the ear nerve stimulator is suitable for wide popularization and use.

A method of controlling operation of a neurostimulation device comprises receiving, by the neurostimulation device, an indication of a physiological search area of a subject for delivering electrical neurostimulation and a prioritized search list of neurostimulation parameters for neurostimulation therapy delivered to the search area; delivering the neurostimulation therapy to the search area and varying the neurostimulation parameters according to the parameter priority, wherein a highest priority parameter is varied first while lower priority parameters are held constant; determining the optimum value of the highest priority parameter; delivering neurostimulation to the search area using the determined optimum value of the highest priority parameter and varying one or more lower priority parameters according to the parameter priority; and determining optimum lower priority parameters for the neurostimulation.

A leadless neurostimulation device configured for implantation in a leg of a patient comprising a header with a first electrode and an elongated main body containing stimulation circuitry and a battery with a second electrode extending circumferentially around at least a portion of the main body. The electrode configuration proves greater volume of tissue activation with lower power requirements and improved battery efficiency.

The present disclosure relates to a tinnitus suppression device, method, system and computer program. In some aspects, a tinnitus suppression device comprises a receiver module configured to receive sound signals, a processing module operably connected to a memory and to the receiver module, and a neurostimulation module operably connected to the processing module. In some aspects, the processing module and the neurostimulation module may be configured to determine a received sound signal that corresponds to a template stored in the memory, that is above a preconfigured threshold, preferably above a preconfigured threshold which is specific for the individual, or both. A multi-channel neurostimulation signal encoding the determined sound signal may be generated and applied to a neurostimulation device of the individual that may be configured to directly stimulate afferent sensory neurons of the central nervous system of the individual and thereby to elicit, for each channel of the neurostimulation signal, one or more non-auditory, preferably somatosensory, perceptions in a cortex area of the individual.