135 results about "Neurostimulation device" patented technology

A system for determining a target neurostimulation device position, comprising one or more cameras 108 to capture one or more images of a subject’s body part, and a neurostimulation device 102. A computer 112 is arranged to receive the images 120 from the cameras, and determine using computer vision a 3D target neurostimulation position 118 located relative to the subject’s body part. The target position comprises a 3D translational position metric indicating an area of operation of the neurostimulation device. Also disclosed is a method for determining a position of a plurality of target positions comprising obtaining for each training subject a neurostimulation device position and an image dataset of a body part of the subject. Each dataset is formatted and provided to a network architecture including a neural network path, and a scorer. The images are scored and compared to the target device position to train and adjust weighting of the network architecture.

A system is provided for determining a target neurostimulation device position. The system comprises: one or more cameras arranged to capture one or more images of a body part of a subject; a neurostimulation device arranged to provide a neurostimulation to the body part of the subject; and a computer comprising a processor and a computer-readable medium arranged to: receive the one or more images from the one or more cameras; determine, by the processor using computer vision to process the one or more images, a three-dimensional (3D) target neurostimulation device position located relative to the body part of the subject; wherein the target neurostimulation device position comprises a 3D translational position metric indicating an area of operation of the neurostimulation device located relative to the body part of the subject. The described system aims to provide a non-invasive manner of providing neurostimulation which reduces the complexity of resources required, the time taken and the level of skill required, while providing a greater level of consistency of treatment provided.

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.

In an aspect, a wearable device for reducing symptoms of neurological movement disorders is presented. The wearable device includes controlling unit. The controlling unit includes a power supply and a controller in communication with the power supply. The controller is configured to generate stimulation output. The controlling unit includes an electrical connector in electrical communication with both the power supply and the controller. The wearable device includes an interchangeable stimulation assembly configured to provide the stimulation output to a body part of a patient through one or more stimulators within the interchangeable stimulation assembly positioned to be in contact with the body part. The interchangeable stimulation assembly includes a housing having an interior adapted to securely house both the power supply and the controller.

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.

In an aspect, a wearable device for reducing symptoms of neurological movement disorders is presented. The wearable device includes controlling unit. The controlling unit includes a power supply and a controller in communication with the power supply. The controller is configured to generate stimulation output. The controlling unit includes an electrical connector in electrical communication with both the power supply and the controller. The wearable device includes an interchangeable stimulation assembly configured to provide the stimulation output to a body part of a patient through one or more stimulators within the interchangeable stimulation assembly positioned to be in contact with the body part. The interchangeable stimulation assembly includes a housing having an interior adapted to securely house both the power supply and the controller.

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.

The invention relates to a neurostimulation device for stimulating the brain of a patient by means of electrical stimulation signals, comprising: a) at least one electrode arrangement with multiple electrodes for delivering electrical stimulation signals to the tissue, b) at least one signal transmitter connected to the electrode arrangement, which is designed to generate and deliver electrical stimulation signals to the electrode arrangement.

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.

This document discusses a computer-implemented method of operating a neurostimulation device to deliver electrical neurostimulation when connected to an implantable stimulation lead. The method includes delivering neurostimulation to a subject using the neurostimulation device; recording electrical signals sensed using the implantable stimulation lead; extracting one or more features from the recorded electrical signals; detecting clustering of the one or more extracted features of the recorded electrical signals; and identifying, by the neurostimulation device, an evoked response signal of interest from among the recorded electrical signals using the detected clustering of the one or more extracted features of the recorded electrical signals.

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. computer-implemented method of operating a neurostimulation device to deliver electrical neurostimulation when connected to an implantable stimulation lead. The method includes delivering neurostimulation to a subject using the neurostimulation device; recording electrical signals sensed using the implantable stimulation lead; extracting one or more features from the recorded electrical signals; detecting clustering of the one or more extracted, features of the recorded electrical signals; and identifying, by the neurostimulation device, an evoked response signal of interest from among the recorded electrical signals using the detected clustering of the one or more extracted features of the recorded electrical signals.

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.

Systems and methods for generating and implementing customized recommendations as part of closed-loop neurostimulation programming and device configuration approaches are disclosed. In an example, a system is configured to: identify, with a recommendation model (e.g., a closed-loop programming algorithm), a programming setting for use in a neurostimulation device that controls neurostimulation treatment of a patient; communicate, to a patient device (e.g., a patient smartphone), a command to present a recommendation to use the programming setting; and communicate, to the patient device, data values associated with the programming setting, to reconfigure the neurostimulation device according to the programming setting. In various examples, a medical user interface enables a medical user (e.g., clinician) to customize the recommendation, and a patient user interface enables a patient to view and use the recommendation.

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.

1. The name of the product of this design: A neurostimulator with a graphical user interface for parameter adjustment. 2. Purpose of the product of this design: used in a neurostimulator to display key information of the neurostimulator and adjust parameters. 3. The key design point of this appearance design product lies in the graphical user interface. 4. The picture or photo that best illustrates the design points: Changing state diagram 1. 5. Other views are of conventional design and are omitted. 6. Purpose of the graphical user interface: It is used to display the real-time status information of the neurostimulator, so that the neurostimulator can adjust parameters according to the information displayed by the graphical user interface. 7. Description of the changing states of the graphical user interface: Long press the power button to enter the main view power-on interface. After loading is complete, the interface automatically jumps to the changing state diagram 1. Click the "Hz" button twice, the interface jumps from the changing state diagram 1 to the changing state diagram 2, turn the knob to enter the working state, if the actual current is less than the set target current, the interface jumps from the changing state diagram 2 to the changing state diagram 3, click the right direction key, the interface jumps from the changing state diagram 3 to the changing state diagram 4, click the down direction key three times, the interface jumps from the changing state diagram 4 to the changing state diagram 5, click the down direction key twice, and then click the right direction key, the interface jumps from the changing state diagram 5 to the changing state diagram 6, click the right direction key, the interface jumps from the changing state diagram 6 to the changing state diagram 7.