51 results about "Stimulus strength" patented technology

The invention provides a transcranial alternating current stimulation method and system with an automatic adjustment function, and relates to the technical field of transcranial alternating current stimulation, and the method comprises the steps: obtaining, compressing and sampling a multi-channel electroencephalogram signal, carrying out the multi-channel reconstruction through the physiological priori and the related information of adjacent brain regions, extracting the feature parameters of target brain waves, and carrying out the reconstruction of the target brain waves. Based on the parameters, dual-stage transcranial alternating current signals of prior stimulation and post stimulation are output; by introducing an adjacent matrix or a graph Laplacian operator in a compressed sensing acquisition and reconstruction link, high-fidelity recovery of cross-brain region oscillation can be maintained under the conditions of low sampling rate and noise; performing layered screening and dynamic fine tuning on characteristic frequency bands of different brain regions by combining general and individualized prior; the target brain wave phase is locked in advance in the first stimulation stage, and the stimulation intensity of each brain region is independently or cooperatively adjusted in the later stimulation stage, so that the requirement of coupling regulation and control of multiple brain regions is met, and the closed-loop intervention effect on nerve states such as insomnia and anxiety is improved.

The invention discloses a motor cortex excitability evaluation method based on threshold tracking magnetic stimulation, and relates to the technical field of biomedical engineering. The motor cortex excitability assessment method based on threshold tracking magnetic stimulation comprises the following steps: performing electrical stimulation on median nerves of a wrist of a subject, recording on an abductor politics brevis (APB), recording a stimuli-response curve, determining a stimuli-response (SR) curve of cortex stimulation by increasing the magnetic stimulation intensity to the following level, and determining the stimuli-response (SR) curve of cortex stimulation according to the stimuli-response (SR) curve. And calculating statistical parameters of the average value and the standard deviation of the excitability threshold values, and judging the dynamic trend of cortical excitability. According to the method, the stimulation-reaction curve of cortex stimulation is determined by improving the magnetic stimulation intensity to the following level, the central movement conduction time is calculated through the F-wave method based on the stimulation-reaction curve, initial stimulation and threshold determination are completed, subsequent threshold tracking is carried out on the technology, and the accuracy and the reliability of the system are improved. And an efficient and accurate brain motor cortex function detection means is provided for diagnosis of nervous system diseases.

The invention relates to the technical field of waking-up training monitoring systems, in particular to a disturbance of consciousness waking-up training monitoring system, which is characterized in that a brain wave response analysis module is used for analyzing and obtaining related information of brain waves of a patient; the action response analysis module is used for analyzing and obtaining related information of response after the patient completes the action; the control module obtains a patient state factor; the training intensity judgment module obtains information about whether the patient adapts to wake-up training or not; the brain wave monitoring module obtains total brain wave power and delta wave power; the stimulation intensity analysis module obtains intensity adjustment information; the vagus nerve electrical stimulation module starts power-off stimulation according to the information whether the patient adapts to waking-up training, and the electrical stimulation intensity is improved, reduced or maintained according to the vagus nerve electrical stimulation module. The system can more comprehensively reflect the state of the patient in the training process, provides data support for personalized treatment, and is beneficial to improving the overall flexibility.

An implantable device for controllably delivering neural stimuli, comprising a stimulus source configured to provide neural stimuli to be delivered via one or more stimulus electrodes to a neural pathway of a patient; measurement circuitry configured to capture signal windows from signals sensed on the neural pathway by one or more measurement electrodes subsequent to respective neural stimuli; and a control unit. The control unit is configured to: control the stimulus source to provide a direct current (DC) pulse according to a stimulus intensity parameter; control the stimulus source to provide a titration pulse in order to evoke a neural response from the neural pathway; measure an intensity of an evoked neural response in a captured signal window subsequent to the titration pulse; and adjust, using a feedback controller, the stimulus intensity parameter so as to maintain the measured intensity at or near a target value.

Disclosed is an automated programming system for a neuromodulation device that is configured to assist a clinician to efficiently program the neuromodulation device for a particular patient. In particular, the assisted programming system comprises a stimulation user interface control that is configured to cause the intensity of the neural stimulus to ramp up with time as long as the patient continues to interact with the control. The value of stimulus intensity at which the patient ceases to interact with the control is recorded as a significant perceptual marker upon which subsequent steps in the assisted programming workflow are based. This user interface design takes advantage of the human withdrawal reflex, whereby the patient is likely to instinctively release the button upon receiving uncomfortable stimulation. The design therefore minimises the training burden placed on the patient in using the assisted programming system.

Disclosed are methods and devices for analysing signal windows captured subsequent to delivered neural stimuli and for providing a quality score for each signal window. The quality score is indicative of how closely the captured signal window resembles, or how likely that the captured signal window contains, an ECAP. The quality score may be provided to a process supervising a feedback loop of the closed-loop neural stimulation device delivering the stimuli and capturing the signal windows to ensure the delivered stimuli are appropriate. For example, if the score falls below a predetermined threshold, the supervisor may take a mitigation action to prevent inappropriate adjustment to the intensity of the delivered stimuli by the feedback loop, such as suspending operation of the feedback loop.

The invention belongs to the technical field of human body electroencephalogram signal processing and brain regulation and control, and provides a noradrenaline oscillation time-frequency-phase three-dimensional coupling sleep coordinated regulation and control device which comprises the following steps: calculating a three-dimensional coupling coefficient by combining a time domain correlation coefficient, a frequency domain correlation coefficient and an instantaneous phase difference between multi-modal physiological signals; determining the coupling state of the signal based on the three-dimensional coupling coefficient and a preset threshold value; predicting to obtain an optimal regulation factor and a modal weight based on a coupling coefficient matrix constructed based on a time domain correlation coefficient and a frequency domain correlation coefficient and a constructed three-dimensional coupling double-layer optimization architecture in combination with the multi-modal physiological signal; calculating the optimized stimulation intensity in combination with the modal weight, the optimal regulation factor and the multi-modal signal characteristic parameters; and adaptively selecting a stimulation mode and outputting a stimulation signal according to the coupling state of the current multi-mode signal and the optimized stimulation intensity. Accurate matching of stimulation parameters and nerve-blood vessel-cerebrospinal fluid system collaborative rhythm is realized.

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.

A method of controlling a neural stimulus, the neural stimulus being defined by at least one stimulus intensity parameter. The method comprises, generating a stimulus intensity parameter to control a stimulator that generates a stimulus current for application to a tissue, measuring a response of the tissue, evoked by the stimulus current, determining a response parameter indicative of the measured response, in response to the response parameter being less than a first threshold, setting the stimulus intensity parameter to a desired stimulus intensity level; and in response to the response parameter being greater than a second threshold, adjust the stimulus intensity parameter according to a feedback variable derived from the measured response.

A vibration control device that while responding to music being played, generates a vibration that gives desired arousal effect and / or relaxing effect regardless of the contents is provided, the vibration control device controlling a vibration device that generates vibration according to the music being played and gives a stimulus to a user includes a vibration signal acquisition unit for acquiring a vibration signal representing the vibration in which a stimulus intensity falls within a predetermined stimulus intensity range, and an output unit for outputting the vibration signal acquired by the vibration signal acquisition unit to the vibration device.

This invention provides an all-optical intelligent computing control method and system based on biological neural networks. The method involves determining the position of an obstacle relative to the vehicle and the distance between the obstacle and the vehicle using sensors installed on the vehicle; determining the stimulus position based on the obstacle's position relative to the vehicle and the stimulus intensity based on the distance between the obstacle and the vehicle; applying stimulation to pre-set biological neural samples based on the stimulus position and intensity; constructing a feedback vector based on the responses of the biological neural samples; and inputting the feedback vector into a pre-trained neural network model, which then outputs vehicle commands. This solution first utilizes the application of light stimulation to pre-set biological neural samples, causing neurons to respond by changing their brightness. This approach leverages the realistic reflection of biological neural samples to improve processing efficiency and response accuracy, and combines biological neural networks with artificial intelligence, using biological neural networks to enhance the processing efficiency of artificial intelligence.

The invention relates to a method for realizing individualized selection of transcranial magnetic stimulation target spots and stimulation intensity based on electrocardiosignal guidance, and the method comprises the following steps: (1) setting the stimulation intensity range / step number of a patient, the type of a regulation scheme to be applied and the number of target spots to be tested; (2) the scheme designer calculates the stimulation intensity of each stimulation unit according to the set parameters, generates a unit stimulation time sequence and obtains a corresponding stimulation scheme; (3) the controller controls the TMS stimulation equipment to stimulate at a specific moment through a hardware interface according to the unit stimulation time sequence and the stimulation intensity parameter output by the scheme designer, and records the time stamp and the stimulation intensity parameter of a stimulation event through the electrocardio recording equipment; and (4) after the stimulation is completed, the data analyzer carries out calculation by combining the time stamps of the stimulation events, the stimulation intensity parameters and the electrocardio data, and obtains the optimal target spot and the optimal regulation and control intensity of the transcranial magnetic stimulation for the current patient.

The embodiment of the invention provides a blind state maintaining system in a nerve regulation random double-blind test, and relates to the field of intelligent medical treatment. The system comprises an information acquisition module used for acquiring grouping information of a plurality of detection objects including stimulation groups and pseudo stimulation groups; the execution receiving module is used for receiving an execution operation for the target detection object by using the experimental equipment; the first pre-stimulation module and the second pre-stimulation module are used for responding to the execution operation and controlling the execution mechanism to execute a first action and a second action on the target detection object based on the execution operation no matter whether the target detection object is the stimulation group or the pseudo-stimulation group; the test stimulation module is used for controlling an execution mechanism to execute an action for maintaining rated stimulation intensity on the target detection object based on execution operation when the target detection object is the stimulation group; and when the target detection object is the pseudo stimulation group, controlling the execution mechanism to execute an action with the stimulation intensity of 0 on the target detection object based on the execution operation.

The invention provides an audio-visual synchronization nerve regulation method and a related device. The method comprises the following steps: acquiring an electroencephalogram signal of a user; according to the electroencephalogram signals, gamma wave power values of a preset frequency band are extracted from a plurality of continuous time windows through a spectrum analysis method; according to the gamma wave power values and the electroencephalogram signals in the adjacent time windows, the gamma wave change rate is determined through a time difference method; determining a current stimulation state according to the gamma wave change rate; according to the current stimulation state and the gamma wave change rate, a proportional function algorithm is adopted to determine stimulation intensity or frequency adjustment amplitude; determining new stimulation regulation and control parameters according to the stimulation intensity or the frequency regulation amplitude; according to the new stimulation regulation and control parameters, visual and auditory pulse same-frequency stimulation signals are determined, and by establishing a second-level adaptation mechanism of the stimulation parameters and neural activity fluctuation, under the premise of guaranteeing audio-visual stimulation synchronization, the stimulation intensity and frequency can be dynamically adjusted along with the instant response characteristics of the human brain gamma rhythm all the time, and the nerve synchronization efficiency is improved.

The application provides a neural internal medicine rehabilitation training system and regulation method based on artificial intelligence, extracts the rhythm power of a stimulation pulse of a rehabilitation training device to a patient and the blood oxygen concentration of a target nerve point of the patient, classifies the efficiency of the remodeling level of the neural function in the rehabilitation training through the blood oxygen concentration and the rhythm power, and obtains a graded remodeling index of the neural function regulation in the rehabilitation training; determines the cortex excitability index of the patient in the neural internal medicine rehabilitation training through the motor evoked potential of the target patient muscle cortex, the stimulation frequency and the stimulation intensity of the stimulation pulse in the rehabilitation training device; multi-modal synergistically integrates the cortex excitability index and the graded remodeling index of the neural function regulation, obtains the neural regulation target parameter of the remodeling index in the rehabilitation training device, and then dynamically regulates the stimulation parameter in the rehabilitation training device based on the neural regulation target parameter. Based on the above scheme, multi-modal coupling regulation of the stimulation parameter in the rehabilitation training process can be realized.

A method of controlling a neural stimulus, the neural stimulus being defined by at least one stimulus intensity parameter. The method comprises, generating a stimulus intensity parameter to control a stimulator that generates a stimulus current for application to a tissue, measuring a response of the tissue, evoked by the stimulus current, determining a response parameter indicative of the measured response, in response to the response parameter being less than a first threshold, setting the stimulus intensity parameter to a desired stimulus intensity level; and in response to the response parameter being greater than a second threshold, adjust the stimulus intensity parameter according to a feedback variable derived from the measured response.

The invention belongs to the technical field of upper limb auxiliary training, and discloses an upper limb auxiliary training device based on the early stage of hemiplegia, which comprises an analysis module, a design module, a training module and an optimization module, according to the training device, through the integrated circuit and the pressure sensor, feelings are input and transmitted to a patient in real time, and stimulation intensity and auxiliary strength are adjusted according to feedback of the patient. The design objective is to provide upper limb extensor active movement induction training for early hemiplegic patients, and operation repeatability and safety are both considered. Clinical practice verifies that the active motion induction training of the upper limb extensor in the early stage of hemiplegia has remarkable effects in promoting motion recovery and improving the functions of the upper limbs. A new technical solution is provided for early hemiplegia rehabilitation treatment, the workload of primary therapists is relieved, and the development of early rehabilitation is promoted. The method is of great significance in promoting functional recovery of hemiplegic patients, improving the life quality of the patients and relieving family and social burdens.

Disclosed is an implantable device for controllably delivering neural stimuli. The device comprises: a plurality of electrodes including one or more stimulus electrodes and one or more measurement electrodes; a stimulus source configured to provide neural stimuli to be delivered via the one or more stimulus electrodes to a neural pathway of a patient in order to evoke neural responses from the neural pathway; measurement circuitry configured to capture signal windows sensed on the neural pathway via the one or more measurement electrodes subsequent to respective neural stimuli; and a control unit configured to: control the stimulus source to provide a neural stimulus according to a stimulus intensity parameter; and measure an intensity of an evoked neural response in a signal window capture subsequent to the provided neural stimulus by correlating the captured signal window with a template. The template is orthogonal to a predetermined artefact basis that models an artefact component in the captured signal window.

The present invention discloses an overlapping stimulation coil assembly and system for bioelectromagnetic stimulation, which relates to the field of bioelectromagnetic stimulation technology. The assembly includes a lower stimulation coil and an upper stimulation coil for vertical placement above a bioelectromagnetic stimulation target area, wherein the upper and lower stimulation coils have the same and similar geometric structure of a semicircular coil structure, the upper and lower stimulation coils are arranged overlappingly, and the arc portion of the lower stimulation coil, the arc portion of the upper stimulation coil, the straight long axis portion of the lower stimulation coil, and the straight long axis portion of the upper stimulation coil are arranged in sequence from bottom to top, and the upper and lower stimulation coils are used to respectively access excitation currents through different discharge circuits to jointly exert bioelectromagnetic stimulation on the target area. In this way, while ensuring that the stimulation intensity reaches the stimulation threshold, the focusing of the stimulation coil is improved, the stimulation depth within the skull is enhanced, the adverse effects on non-target areas are effectively reduced, and the safety of transcranial electromagnetic stimulation treatment is ensured.

The embodiment of the specification provides a system for blind state maintenance in neuromodulation randomized double-blind test, and relates to the field of intelligent medical treatment. The system comprises: an information acquisition module configured to acquire grouping information of a plurality of detection objects including a stimulation group and a pseudo-stimulation group; an execution receiving module configured to receive an execution operation for a target detection object by using an experimental device; a first pre-stimulation module and a second pre-stimulation module configured to, in response to the execution operation, control an execution mechanism to execute a first action and a second action on the target detection object based on the execution operation regardless of whether the target detection object is the stimulation group or the pseudo-stimulation group; and a test stimulation module configured to, when the target detection object is the stimulation group, control the execution mechanism to execute an action of maintaining a rated stimulation intensity on the target detection object based on the execution operation, and when the target detection object is the pseudo-stimulation group, control the execution mechanism to execute an action of 0 stimulation intensity on the target detection object based on the execution operation.

Disclosed is a neural stimulation system comprising a neuromodulation device for controllably delivering neural stimuli, comprising a stimulus source configured to deliver neural stimuli via a stimulus electrode configuration (SEC) to a neural pathway of a patient, wherein a stimulus electrode configuration comprises one or more stimulus electrodes of a plurality of stimulus electrodes in an electrode array; a control unit configured to control the stimulus source to deliver interleaved neural stimuli via each of one or more candidate SECs at respective stimulus intensities and pulse widths; and a rechargeable battery configured to provide power to the stimulus source and the control unit. A processor estimates a single-charge life of the rechargeable battery of the neuromodulation device based on the one or more candidate SECs and their respective stimulus intensities and pulse widths.

A neuromodulation device comprises stimulus electrodes and sense electrodes. A stimulus source provides stimuli to evoke a neural response on a neural pathway. A signal sensed at the sense electrodes includes an evoked neural response. A control unit controls the stimulus source to provide the neural stimulus according to a stimulus intensity parameter; measures an intensity of the evoked response; and completes a feedback loop using the measured intensity and controller parameters to control the stimulus intensity parameter to maintain the measured intensity at a target value. Optimal values of the controller parameters are determined from a representative value of a characteristic of the feedback loop, the representative value having been derived from data of previously programmed patients, and / or the processor is configured to determine optimal values of the one or more controller parameters from a predetermined value of an amplification parameter of the feedback loop.

According to the neurology rehabilitation training system based on artificial intelligence and the regulation and control method, the rhythm power of stimulation pulses of rehabilitation training equipment on a patient and the blood oxygen concentration of a target nerve target of the patient are extracted, and the remodeling level of the neural function in rehabilitation training is subjected to efficiency grading through the blood oxygen concentration and the rhythm power; obtaining graded remodeling indexes of nerve function regulation in rehabilitation training; determining the cortex excitability index of the patient in neurology rehabilitation training through the motor evoked potential of the muscle cortex of the target patient and the stimulation frequency and the stimulation intensity of the stimulation pulse in the rehabilitation training equipment; the method comprises the following steps: carrying out multi-modal collaborative integration on a cortex excitability index and a neural function regulation hierarchical remodeling index to obtain a neural regulation target parameter of a remodeling index in rehabilitation training equipment, and then carrying out dynamic regulation on a stimulation parameter in the rehabilitation training equipment based on the neural regulation target parameter. Based on the scheme, multi-mode coupling regulation and control of stimulation parameters in the rehabilitation training process can be achieved.

The application provides an enhanced non-invasive deep brain stimulation system and method based on time interference, which comprises: an enhanced sawtooth wave stimulation waveform; a stimulation circuit supporting the enhanced sawtooth waveform; and a finite element simulation subsystem for guiding the stimulation mode. Compared with the traditional sine wave time interference, the sawtooth wave time interference generates a steeper envelope, thereby enhancing the stimulation intensity. The sawtooth wave spectrum has more complex components and contains more high-frequency components, and a specific constant-current source stimulator is required to ensure that the high-frequency component output constant current is not distorted. The system further comprises a simulation subsystem for determining stimulation parameters using a corrected finite element method and a stimulation subsystem for stimulating according to the parameters. Compared with the traditional sine wave, the application provides a non-invasive deep brain stimulation based on sawtooth wave time interference, improves the stimulation intensity, and provides a more effective method for non-invasively regulating the brain and intervening in diseases.

Described is an infant monitor- ing and alerting system capable of determining an absence of movement by an infant. When an absence of movement is detected the monitor at- tempts to stimulate movement using stimuli that may include a vibration, an audible alert, or a visual alert. If no movement is detected in re- sponse to the stimuli, the monitor may provide another instance of stimuli which may include stimuli at an elevated intensity or additional and / or different stimuli. The additional instance of stimuli may further attempt to stimulate movement by the infant and may also function as an alert to the caregiver that their attention may be required.

A biological feedback detection device, a biological sensation expansion device, a biological sensation expansion method, and a computer program product are provided that enable presentation of a variety of tactile stimulations. The biological feedback detection device according to the application concerned includes: a first stimulating unit that stimulates a tactile sensation in a first body part of a biological object; a second stimulating unit that stimulates a tactile sensation in a second body part of the biological object; a second stimulus sensation intensity measuring unit that measures a second stimulus sensation intensity indicating the intensity of the sensation of a stimulation felt in the second body part; and a stimulation intensity ratio calculating unit that calculates the ratio regarding whether the second stimulus sensation intensity corresponds to a stimulation applied to the first body part or corresponds to a stimulation applied to the second body part.

The embodiment of the invention provides a stimulation intensity determination method of a target regulation cortex, computing equipment and a computer program product. The method for determining the stimulation intensity of the target regulation cortex comprises the following steps: acquiring a first movement threshold value of a primary movement cortex of a tested head by using a transcranial magnetic stimulation experiment; constructing an anisotropic conductivity head model corresponding to the tested head based on the magnetic resonance imaging data of the tested head; determining a first test area corresponding to the primary movement cortex and a second test area corresponding to the target regulation cortex in the anisotropic conductivity head model; respectively carrying out electric field simulation on the first test area and the second test area by utilizing a stimulation intensity value corresponding to the first motion threshold value; determining a scaling factor based on the first electric field value and the second electric field value; a target stimulation intensity of the target regulatory cortex is determined based on the scaling factor and the first motion threshold. According to the technical scheme provided by the embodiment of the invention, the more accurate target stimulation intensity of the target regulation cortex can be obtained.

The invention provides a system and method for improving sleep breathing disorder based on nerve stimulation, and belongs to the technical field of medical treatment. Comprising a mask for collecting nasopharyngeal airflow, snore and vibration signals; the nerve stimulation module is used for stimulating hypoglossal nerves and phrenic nerves through electric pulses; the fixed flow positive pressure support module is used for providing continuous positive airway pressure ventilation; the multi-source data acquisition module is used for acquiring respiratory movement amplitude data and blood oxygen saturation data; the control unit module comprises a data processing core and a double-closed-loop controller; the data processing core is used for identifying a respiratory event type based on an LSTM model and establishing a stimulation-ventilation response relation matrix; the double-closed-loop controller is used for adjusting the stimulation intensity of the nerve stimulation module in real time. By dynamically adjusting parameters, reducing sequential control errors and realizing multi-signal synchronization, the limitation of single nerve stimulation is effectively solved, and the accuracy and effectiveness of intervention are ensured.

A system for training animals includes a hand-held device and a remote device, where the remote device applies a stimulus when a user presses a button or trigger on the hand-held device. The amount of pressure applied is measured by a pressure sensitive transducer and transformed into proportional transducer signals. These transducer signals are transmitted to the remote device, which then applies a stimulus to an animal being trained. The amplitude of the applied stimulus corresponds to the amplitude of the transducer signals; a trainer can thus precisely control the intensity of the stimulus by applying and relieving pressure on the button. The type of stimulus applied is controlled based on the position of a rotary switch on the hand-held device. Sensor data generated by specialized sensors in the remote device may be transmitted to the hand-held device to provide the user with sensory feedback.

An implantable neuromodulation device (100) that includes a plurality of stimulus electrodes, measurement electrodes, a stimulus source and measurement circuitry (128). The device also includes a control unit (116) configured to: control the stimulus source to provide a neural stimulus to a neural pathway (180) according to a stimulus intensity parameter; measure an intensity of the evoked neural response in captured signal windows; determine a feedback variable from the measured intensity of the evoked neural response; implement a feedback loop by using the feedback variable to control the stimulus intensity parameter so as to maintain the feedback variable at a target value; convert (1404) a loop variable of the feedback loop to a representation, where the representation is one of a time-domain representation and a frequency-domain representation; and analyse (1406) the representation to determine a loop stability measure of the feedback loop.