1386 results about "Electrical stimulations" patented technology

The invention belongs to the technical field of medical electronic equipment, and discloses a control system for alternative electrical stimulation of idiopathic tremor, and the system comprises a signal collection module which is used for obtaining tremor motion data of a patient in real time; the signal processing module is used for analyzing tremor frequency, amplitude and phase characteristics; the dynamic parameter generation module is used for generating an alternate stimulation mode according to the tremor characteristics; and the electrode array module comprises at least two stimulating electrodes and a reference electrode. The invention provides a non-invasive and dynamically optimized alternate electrical stimulation control system which is used for inhibiting hand tremor of an idiopathic tremor patient, regulation and control of a tremor network can be enhanced by alternately stimulating different peripheral nerves, the curative effect can be improved through closed-loop feedback optimization parameters, long-acting and safe tremor inhibition is achieved, and the treatment effect is improved. The problems of insufficient curative effect, nerve adaptability, surgical risk and the like in the prior art are solved.

A system that can deliver haptic feedback by applying an electrical stimulation to a first area of a user's body to induce a second area of the user's body to experience a level of natural sensation in response to an action occurring in a simulated remote environment and an intensity of the action is described. The system includes a controller to set parameters for the electrical stimulation based on the action occurring in the simulated remote environment and an intensity of the action. The system also includes a signal generator to generate the electrical stimulation comprising the parameters. The system also includes a skin surface electrode placed at a first location on a user's body remote from a second location on the user's body to deliver the electrical stimulation with the parameters to a nerve at or near the first area of the user's body.

The invention discloses a closed-loop noninvasive spinal cord electrical stimulation regulation and control method and system based on motion data, and the system is provided with a flexible electrode array patch which is attached to the skin surface of a to-be-tested human body; the sensing module is used for collecting electromyographic signals or acceleration signals of a user; the signals are processed, and characteristic values related to actions and motions are extracted; the closed-loop feedback module compares the characteristic value with a model set characteristic / threshold value, and judges whether to start stimulation site and stimulation parameter adjustment or not; automatically selecting an optimal electrode unit and a corresponding stimulation parameter based on a judgment result; the dynamic regulation and control module controls the optimal electrode unit to output stimulation current, and regulates the activity of corresponding spinal cord neurons; and continuously performing closed-loop adjustment on the electrode unit and the stimulation parameters according to the motion feedback data. According to the method and system, precise stimulation and closed-loop regulation and control based on the motion response of the patient are achieved, and the problems that stimulation target positioning depends on artificial experience, parameter adjustment is not timely, and individualized and closed-loop feedback capacity is lacked are solved.

The invention relates to the technical field of neural engineering and brain-computer interfaces, in particular to a closed-loop multi-modal nerve stimulation system and method based on time interference, and the system comprises a multi-modal stimulation module which is used for integrating electrical stimulation, magnetic stimulation and optical genetic stimulation, and generating a time interference field domain; the neural state sensing module is used for collecting real-time electroencephalogram signals, blood oxygen concentration and neural metabolite level data; the neural control center is used for fusing neural state data and stimulation parameters, and dynamically adjusting time interference frequency and stimulation intensity through an adaptive algorithm; the time sequence cooperation engine predicts a neural response time phase based on a deep learning model, and optimizes a stimulation time sequence and a mode switching strategy; and the visual interaction platform is used for rendering the nerve activation thermodynamic diagram and the stimulation parameter adjustment curve in real time. Therefore, the problems of adjustment strategy solidification, low adjustment precision, insufficient energy conversion efficiency and the like in the prior art are solved.

The invention provides an intracranial neuron electrical stimulation system for treating epilepsy and other brain diseases involving epileptic seizure, which can immediately apply intracranial neuron electrical stimulation to the interseizure epilepsy activity in a personalized manner after detecting the interseizure epilepsy pattern each time. And the stimulation is activated by intracranial electroencephalogram (EEG) detection. The intracranial stimulation for epileptic activities in the epileptic seizure period continuously acts along with time, the forming process of an epileptic network can be blocked, the neuronal super-synchronization risk is reduced, and therefore the control effect on epileptic seizure is improved. The invention also includes the use of nerve adjustment biomarkers, thereby dynamically optimizing the detectability and providing more accurate overall assessment for the patient's treatment progress. Finally, according to the scheme, by detecting the intracranial EEG mode and the high-risk state mode (such as the epileptic state and the sudden accidental death risk in epilepsy) in the attack period, an instant alarm is given to the patient / nursing personnel, and it is ensured that safe treatment measures are taken for the patient in time.

The invention provides an electronic acupuncture closed-loop control method and system based on multi-modal information feedback. The method comprises the following steps: acquiring long-term, short-term and real-time representation information of a testee under an initial stimulation scheme; the long-term and short-term characterization information is input into a collaborative generative network model for learning, a target stimulation scheme is output, the collaborative generative network model comprises traditional Chinese and western medicine agents, the traditional Chinese and western medicine agents learn the long-term and short-term characterization information, and a corresponding traditional Chinese medicine treatment scheme and an electrical stimulation scheme are output. The collaborative generation network model carries out collaborative training on traditional Chinese and western medicine agents; calculating an index deviation between the real-time characterization information and the standard characterization information to generate a real-time information deviation matrix; inputting the target electrical stimulation scheme and the real-time information deviation matrix into a parameter deviation prediction agent for learning and prediction; and performing parameter adjustment on the target stimulation scheme based on the predicted stimulation parameter deviation matrix to realize long / short time and real-time double-layer closed-loop control of the electronic acupuncture.

The invention discloses a patient improvement effect analysis method for controlling spinal cord electrical stimulation through an implantable brain-computer interface, and relates to the technical field of medical rehabilitation, and the method comprises the steps: multi-dimensional collaborative data collection: implanting electrodes in a target brain region and below a spinal cord injury segment, installing a detection element at an exoskeleton key part, and carrying out multi-dimensional collaborative data collection; a sensor is attached to a lower limb preset muscle group, electroencephalogram signals, SCS stimulation parameters, EXS motion data and neuromuscular response data are synchronously collected, and time correlation marks are embedded; according to the method, the reliability of motion intention decoding is remarkably improved by adopting a mode of combining multi-source signal preprocessing and a multi-mode intention recognition model, and in the signal preprocessing stage, the self-adaptive filtering algorithm combining Kalman filtering and wavelet threshold denoising is applied, so that the motion intention decoding efficiency is improved. SCS electrical stimulation interference, EXS motor noise and physiological noise in the electroencephalogram signals are effectively removed.

Disclosed herein are systems, devices, and methods for stimulating nerves, including electrically stimulating peripheral nerve(s) to treat various diseases and disorders, as well as systems and methods for applying stimulation waveforms for improving the therapeutic benefit, outcomes, and / or experience relating to the same. Some systems and methods generate a biphasic stimulation waveform that includes a plurality of pulses with alternating leading phases. Some systems and methods vary one or more parameters of the stimulation waveform to correlate with a characteristic of the user. Example characteristic of the user include a phase of a tremor exhibited by the user and a respiratory cycle of the user. For some systems and methods, the stimulation waveform includes a plurality of burst with each burst ramping up in amplitude. For some systems and methods, the stimulation waveform is delivered during a time period that includes an on-cycle portion and an off-cycle portion with the stimulation waveform only being delivered during the on-cycle portion of the time period.

The invention belongs to the technical field of nerve regulation and control engineering, and provides a cerebrospinal fluid rhythm-based Alzheimer's disease electrical stimulation system, which is characterized in that first frequency band range data and second frequency band range data in brain wave signals are coupled to obtain cerebrospinal fluid rhythm data; then, calculating the phase difference between the first frequency band range data and the cerebrospinal fluid rhythm data; finally, the stimulation frequency is dynamically controlled according to the phase difference, and the stimulation current is dynamically controlled according to the brain tissue water volume fraction. The problem that specific metabolism requirements of non-fast eye movement sleep and fast eye movement sleep cycles cannot be matched by adopting single-frequency-band stimulation is solved, dynamic changes of post-traumatic encephaledema and requirements and influences of cerebrospinal fluid rhythm on current control are considered, the real-time adaptive capacity to the dynamic changes of the post-traumatic encephaledema is improved, and the application prospect is wide. And the treatment effect of the Alzheimer's disease is ensured.

The invention relates to the technical field of biomedicine, in particular to a time interference dynamic multi-target accurate focusing transcranial electric therapeutic instrument which comprises a host module, an electric stimulation module, an intelligent stimulation mode optimization coordination module, an integrated electrode module, an electroencephalogram processing module, an adaptive treatment navigation module based on fMRI + EEG and a safety protection module. The navigation module calculates fMRI and EEG information, generates and optimizes a stimulation mode, the host module overall controls all the modules, the electrical stimulation module outputs multiple paths of high-frequency interference signals and low-frequency compensation signals, the integrated electrode module achieves stimulation and electroencephalogram collection in a time-sharing mode, the electroencephalogram processing module collects and processes the signals, and the safety protection module guarantees treatment safety. According to the application, the bottleneck that the current utilization rate is low, the positioning is fuzzy and the mode is rigid in the existing transcranial electrical stimulation technology is broken through, accurate synchronous / sequential stimulation of multiple deep brain regions is realized, and the accuracy, effectiveness and safety of treatment of neurological and mental diseases are improved.

The invention belongs to the cross technical field of biomedical engineering and nerve regulation technology. According to the brain-heart linkage transcranial strong alternating current stimulation feedback control method and system, heart rate variability characteristics are obtained according to electroencephalogram signals, electroencephalogram signal characteristics are obtained according to the electroencephalogram signals, and a dynamic coupling index is determined according to the electroencephalogram signals and electrocardiosignals; when the heart rate variability characteristic is greater than or equal to a corresponding heart rate characteristic baseline threshold value, the electroencephalogram signal characteristic is greater than or equal to a corresponding electroencephalogram characteristic baseline threshold value, and the dynamic coupling index is greater than or equal to a set threshold value, judging that the emotional disorder is improved, and keeping the intensity of the stimulation current unchanged; otherwise, increasing the intensity of the stimulation current to a set threshold value until the emotional disorder is improved. Through combined calculation of the electroencephalogram signals and the electrocardiosignals, dynamic monitoring and accurate evaluation of the process of treating the emotional disorder through transcranial strong alternating current stimulation are achieved, and the accuracy of electrical stimulation is guaranteed.

The invention relates to the field of rehabilitation instruments, in particular to an intelligent pneumatic hand function rehabilitation training system which comprises a flexible exoskeleton glove provided with a pneumatic muscle array and used for assisting fingers of a user in grasping training. The fingertip position of the glove is connected with a magnetorheological damper through a flexible cable, and the magnetorheological damper is used for providing dynamic resistance in the training process. The electrical stimulation module is used for activating hand muscle groups in a targeted manner through a surface electrode and enhancing neuromuscular control; the sensor module is used for collecting physiological data of a user in real time; the physiological data comprises electromyographic signals and tissue blood oxygen saturation; the control unit is used for switching training modes, by means of the intelligent air pressure hand function rehabilitation training system, the training intensity can be matched with the real-time ability of a patient all the time, and the rehabilitation training effect is improved.

The invention relates to the technical field of nose stimulation, in particular to a nose electrical stimulation device, system and method wherein the nose electrical stimulation device comprises a patch body; the first electrode group and the second electrode group are electrically connected, the first electrode group and the second electrode group are symmetrically arranged relative to the central axis of the patch body, and a switch piece is arranged on a path between the first electrode group and the second electrode group; the pressure sensors are arranged on the patch body, the number of the pressure sensors is 2n, n is an integer larger than or equal to 1, and the multiple pressure sensors are symmetrically arranged relative to the central axis of the patch body. The patch type flexible pressure sensors are symmetrically arranged, so that the pressure change of the nose wings can be collected without being inserted into the nasal cavity, and foreign body sensation is thoroughly eliminated. A traditional rod body structure is abandoned, the electrode group, the sensor and the processing unit are integrated on the flexible patch, and miniaturization and light weight of equipment are achieved. Through the design of the symmetrical electrode group and multiple switches, the stimulation mode can be flexibly switched.

The embodiment of the invention relates to the field of intelligent wearable equipment, in particular to intelligent ear vagus nerve regulation and control glasses and a control method, control device and regulation and control system thereof, and the method comprises the following steps: acquiring pupil dynamic characteristic parameters monitored by the intelligent ear vagus nerve regulation and control glasses; calling a trained machine learning model to analyze real-time physiological state information according to the pupil dynamic characteristic parameters; according to the real-time physiological state information obtained through analysis, generating an electrical stimulation control instruction corresponding to the real-time physiological state information; and controlling an ear vagus electrode in the intelligent ear vagus nerve regulation and control glasses to implement nerve regulation based on the electrical stimulation control instruction. According to the method, the limitation of fixed parameter output of a traditional ear vagus nerve stimulation device can be broken through, the individualization and accuracy of an ear vagus nerve stimulation scheme are improved, and the problem that the treatment effect is insufficient or discomfort is caused is solved.

The invention relates to the technical field of medical equipment and instruments, and discloses a real-time artifact removal method and system for deep brain stimulation, and the method comprises the steps: controlling the generation and sampling of a stimulation signal through a same clock source, and guaranteeing the phase alignment of a sampling point and a stimulation artifact in each stimulation period; before real-time artifact removal, dynamically setting artifact template update parameters based on latest historical data; when real-time artifact removal is carried out, firstly, an artifact template is initialized according to signals collected in the early stage after stimulation is started, then artifact removal is carried out on each sampling point which is newly input later through a dynamic template subtraction method, and the artifact template is dynamically updated based on current sampling point data and set artifact template updating parameters; and at the end of each stimulation period, de-averaging processing is performed on the updated artifact template to eliminate low-frequency accumulative errors, and by means of the method, stimulation artifacts are removed in real time with the minimum calculation requirement at the extremely low sampling rate.

The invention relates to the technical field of rehabilitation medical treatment and neural engineering, and particularly discloses an epidural electrical stimulation lower limb rehabilitation system and method based on a brain-computer interface, the epidural electrical stimulation lower limb rehabilitation system comprises a weight reduction suspension device, an epidural electrical stimulation module and a brain-computer interface module, the epidural electrical stimulation module controls left and right electrical stimulation through a program controller, and the brain-computer interface module comprises a wireless electroencephalogram acquisition device and an interaction terminal and is used for acquiring electroencephalogram signals of a movement area of a patient and presenting a virtual gait scene and voice prompt at a computer end. The method comprises the steps of electroencephalogram signal collection and feature extraction, motion intention judgment, stimulation control and feedback backtracking, and by combining a motion intention decoding result with electrical stimulation output, activation of a lower limb target muscle group is achieved, a training closed loop is constructed, and the method is used for postoperative rehabilitation of a spinal cord injury patient.

The invention relates to the field of medical instruments, in particular to a percutaneous microflow acupuncture system closed-loop regulation and control method and system based on multi-channel acupoint impedance, and the method comprises the steps: obtaining a first surface electromyogram signal in a human body action period, and constructing a relation between an action behavior and surface electromyogram; determining a multi-channel implementation path of the percutaneous microflow acupuncture system according to the relationship; impedance characteristics of acupuncture points along the multi-channel implementation path are obtained, and percutaneous microflow electrical stimulation operation is set according to the impedance characteristics; acquiring a second surface electromyogram signal during the implementation of the electrical stimulation operation, and adjusting the electrical stimulation operation according to the first surface electromyogram signal and the second surface electromyogram signal; and acquiring a response signal for adjusting the multi-channel implementation path association region during the implementation of the electrical stimulation operation so as to change the multi-channel electrical stimulation mode. According to the invention, path calibration of multiple acupoint associated stimulation areas is implemented through multiple channels, feedback closed-loop stimulation regulation is formed by combining acupoint impedance and electromyographic signals formed during stimulation, and the stimulation efficiency is improved.

The invention provides a closed-loop nerve regulation and control system and method based on electroencephalogram detection. The defects that a traditional open-loop method lags in stimulation, equipment is heavy and the like are overcome. The system integrates an electroencephalogram acquisition module, an electroencephalogram analysis module, a remote program control module and a stimulation output module to form a closed-loop link. Through 32-channel 1kHz signal acquisition and 1-100Hz filtering pretreatment, pathological features are extracted in real time by using a deep convolutional neural network, stimulation parameters are modified through a remote program control module, and multi-channel collaborative stimulation and safe electrical stimulation are realized in combination with a time division multiplexing architecture and bipolar optocoupler isolation output. The method has the advantages that the pathological feature recognition accuracy of the deep convolutional neural network is greater than or equal to 95%, and the dynamic response delay is less than 50ms; a time division multiplexing hardware architecture is designed, multi-channel collaborative stimulation is achieved through a single DAC, and the size is reduced by 30%; + / -5V bipolar output is realized by using an optocoupler isolated H bridge driver, and the IEC 60601 medical safety standard is met; wireless regulation and control of stimulation parameters are supported, the long-term implantation requirement is met, and the risk of a secondary operation is reduced.

The invention discloses a mouse spinal cord flexible electrode and a stimulation parameter optimization method, and relates to the technical field of parameter optimization. The mouse spinal cord flexible electrode comprises a soluble insertion layer, a gradient substrate layer, spinal cord anastomosis ribs, a conductive snakelike net, a hemispherical touch dot matrix, a microfluidic layer, an optical waveguide layer and a top packaging layer; the soluble insertion layer is photo-crosslinked PEG-DMA with the thickness of 5-25 m, the Young modulus is kept within the range of 0.8-1.5 GPa before implantation, and the soluble insertion layer is hydrolyzed in cerebrospinal fluid within 0.5-3 hours after implantation and completely falls off; the spinal cord anastomosis rib comprises an expandable S-shaped folding structure arranged on the upper surface of the gradient substrate layer, the distance between every two adjacent ribs ranges from 80 m to 200 m, the height of the folded state is not larger than 15 m, the height of the unfolded state ranges from 15 m to 40 m, and the spinal cord anastomosis rib is used for forming a cerebro-spinalfluid bypass groove extending in the longitudinal direction of the spinal cord on the surface of the dura mater. According to the invention, the positioning precision, safety and long-term efficiency of mouse spinal cord electrical stimulation can be effectively improved.

According to the flexible array type external field program control nerve stimulation device, the preparation method and the application thereof, the flexible array type external field program control nerve stimulation device comprises a flexible substrate layer and a stimulation response fiber array layer, and the stimulation response fiber array layer is prepared from a functional material capable of converting external field energy such as ultrasound, magnetism and light into electric energy; the flexible substrate layer with high flexibility is adopted, so that the flexible substrate layer can be matched with the surface of a nerve target tissue in a conformal manner; the stimulation response fiber array layer integrated on the flexible substrate layer in an array arrangement mode can meet the stimulation spatial resolution of neuron and even sub-neuron precision, has the characteristics of excellent flexibility, biocompatibility, passivity and wireless performance, can provide nerve electrical stimulation signals with high spatial resolution, and can be applied to the field of nerve electrical stimulation. The high-resolution nerve electrical stimulation device can be in conformal fit with the irregular surface of nerve soft tissue, and is suitable for high-resolution nerve electrical stimulation of different parts such as eyes, the brain and peripheral nerves.

The embodiment of the invention discloses an electrical stimulation parameter determination method, device and equipment, a medium and a medical system. The method comprises the following steps: acquiring a brain three-dimensional model corresponding to a target user of which the brain is implanted with at least one stimulation electrode; determining at least one electrode contact combination corresponding to the target nucleus simulation model according to the first spatial position information of the target nucleus simulation model and the second spatial position information of the electrode simulation model; determining at least one group of candidate electrical stimulation parameters of the electrode contact combination according to the electrode contact combination and a target nucleus simulation model; determining the total power consumption of the stimulator of the candidate electrical stimulation parameters according to a preset total power consumption quantitative model of the stimulator and the candidate electrical stimulation parameters; and determining at least one group of target recommended electrical stimulation parameters from the plurality of groups of candidate electrical stimulation parameters according to the total power consumption of the plurality of stimulators. According to the technical scheme, the effect of accurately screening the recommended electrical stimulation parameters with low energy consumption and efficient stimulation effect according to the electrical stimulation power consumption is achieved.

The application discloses a respiratory neuromuscular stimulation control method and system, and relates to the technical field of medical treatment. The method comprises the following steps: collecting body parameter information of a user; determining stimulation parameters of the user according to the body parameter information and parameters stored in a database; processing an initial muscle contraction signal obtained from a treatment terminal through a signal processing module before electric stimulation is performed on the body of the user, so as to obtain an initial muscle contraction filtered signal; wherein the initial muscle contraction signal is sensed by the treatment terminal attached to the body of the user; and controlling the current of the electric stimulation generated by the treatment terminal arranged on the body of the user in real time according to the stimulation parameters of the user, the initial muscle contraction filtered signal, a real-time muscle contraction filtered signal and real-time breathing conditions, through a self-adaptive current adjustment model which is trained and optimized. The application improves the efficiency of electric stimulation.

The invention belongs to the technical field of human body electroencephalogram signal processing and brain regulation and control, and provides a multi-modal coupling type closed-loop electrical stimulation sleep synergy signal regulation and control device and system.The technical scheme includes that multi-modal physiological signals including EEG slow wave power, cerebral blood flow and cerebrospinal fluid flow signals are obtained; screening and preprocessing the obtained multi-modal physiological signal to obtain a preprocessed multi-modal signal; calculating the time domain correlation between the EEG slow wave power and the cerebral blood flow and the frequency domain coherence between the cerebral blood flow and the cerebrospinal fluid flow signal; introducing regulatory factors of time domain correlation of EEG slow wave power and cerebral blood flow and frequency domain coherence of cerebral blood flow and cerebrospinal fluid flow signals to obtain a signal stimulation intensity calculation formula; and optimizing the signal stimulation intensity by combining a signal stimulation intensity calculation formula and the constructed double-layer optimization architecture to obtain the optimized signal stimulation intensity. And an accurate sleep regulation and control signal is generated.

The invention discloses a pelvic floor muscle repairing instrument, a pelvic floor muscle training indication method, pelvic floor muscle training indication equipment and a medium, and the pelvic floor muscle repairing instrument comprises a main body part which is used for being inserted into or placed in a part corresponding to pelvic floor muscle; the first electrode and the second electrode are arranged on the main body part and are used for electrically stimulating pelvic floor muscles and detecting pelvic floor muscle surface electromyogram signals after the pelvic floor muscles are electrically stimulated; the third electrode is attached to the peripheral muscle of the pelvic floor muscle during use and is used for detecting an electromyographic signal of the peripheral muscle of the pelvic floor muscle; the posture detection unit is arranged on the trunk part and is used for detecting a posture time sequence signal after the action of the trunk part is changed; the controller is electrically connected with the first electrode and the second electrode and is used for performing feature extraction on the three signals in the same time sequence, generating a fusion feature vector, determining a pelvic floor muscle training evaluation result and generating a training feedback instruction according to the pelvic floor muscle training evaluation result; the training feedback instruction is used for instructing the user to train.

The present disclosure provides a method and a system for electrical stimulation based on physiological parameter feedback regulation. The method includes: continuously acquiring action data and corresponding tremor manifestation data in daily activities of a user; calculating an average tremor level of the user based on the tremor manifestations; identifying a plurality of actions exhibiting tremor manifestations deviating from the average tremor level, and constructing an action set; constructing a continuous action sequence based on the action set; and guiding the user to execute the continuous action sequence while respectively applying electrical nerve stimulation with a plurality of candidate stimulation parameter sets, determining a first electrical stimulation parameter set that satisfies the conditions that the tremor level of the Category I actions decreases, and the tremor level of the Category II actions does not rise, and performing subsequent electrical stimulation using the first electrical stimulation parameter set.

The invention relates to the technical field of intelligent medical assistance, in particular to a skin disease treatment electrode positioning system based on potential distribution. The system comprises a potential gradient severe region identification module, a lesion minimum surrounding region identification module, a similar potential region grouping module, an optimal electrode position prediction module, an electric field distribution calculation module, a sweat gland dense region identification module, an optimal electrode placement point screening module, an enhanced feature generation module and a final electrode position determination module. By fusing multi-source information such as skin surface potential distribution, lesion geometric characteristics, tissue conductivity, historical treatment data and the like, systematic optimization is performed on electrode positioning in skin disease treatment, the effectiveness of electrode stimulation is maximized on the premise of ensuring the treatment safety, and the treatment efficiency is improved. An accurate electrode placement scheme is provided for treatment of different types of skin diseases, and the method is suitable for accurate determination of the electrode placement position in electrical stimulation treatment.

An electrical stimulation device for modulating a blood-brain barrier (BBB) of a subject includes at least one electrode configured to delivery electrical stimulation to the subject to stimulate a sphenopalatine ganglion (SPG) of the subject, and a control unit in communication with the at least one electrode. The control unit generates a first electrical stimulation signal to the at least one electrode to apply a first electrical stimulation to the subject to stimulate a sphenopalatine ganglion (SPG) of the subject thereby increasing porosity of the BBB from an initial porosity to an increased porosity, and generate, after said first electrical stimulation signal, a second electrical stimulation signal to the at least one electrode to apply a second electrical stimulation to the subject to stimulate the SPG of the subject thereby decreasing porosity of the BBB from the increased porosity to a decreased porosity that is less than the increased porosity.

The invention discloses a multi-mode closed-loop feedback thumbtack needle electrical stimulation anti-depression system, belongs to the technical field of drug delivery systems, and particularly relates to collaborative treatment of acupoint stimulation and drug sustained release. The problems that in the prior art, cooperation of acupoint stimulation and medicine slow release cannot be achieved, and further improvement of the treatment effect is limited are solved. The system comprises an AI regulation and control module and a collaborative treatment module. The AI regulation and control module predicts treatment parameters; and the collaborative treatment module is used for carrying out collaborative treatment of acupoint electrical stimulation and skin administration on the patient based on the predicted treatment parameters. The multi-mode closed-loop feedback thumbtack needle electrical stimulation anti-depression system is suitable for collaborative treatment of acupoint stimulation and drug sustained release.

The present application relates to a kind of respiratory synchronous diaphragm nerve electric stimulator in vitro, belong to medical equipment technical field.The technical scheme of a kind of diaphragm nerve electric stimulation based on real-time breathing signal synchronization trigger is proposed for the problems of high weaning failure rate and quality of life decline caused by VIDD.The technical scheme points include: detecting inspiration negative pressure signal through nasal cavity air pressure sampling tube, control unit dynamically adjusts trigger threshold according to negative pressure signal, when negative pressure is lower than preset value and waveform slope meets the standard, trigger electric stimulation module to output biphasic pulse, pulse parameters include positive and negative alternating waveform, width 0.1ms to 1ms, frequency 10Hz to 50Hz and current intensity 5mA to 30mA, and strictly limit electric stimulation to be only output in inspiration cycle, and expiration cycle is completely blocked stimulation by hardware switch circuit.It is mainly suitable for intensive care and rehabilitation therapy scene, effectively prevent and treat VIDD, improve patient weaning success rate and quality of life.

The invention discloses an external diaphragm pacemaker regulation and control method and device based on a respiratory radar. The method comprises the following steps: acquiring a chest radar echo signal of a target; analyzing the radar echo signal to obtain a target breathing signal; analyzing the target breathing signal to obtain breathing parameters, and generating a synchronizing signal; the treatment parameters are adjusted by adopting the breathing parameters and the synchronizing signals; the treatment parameters are adopted to output control signals; and regulating and controlling the external diaphragm pacemaker based on the control signal. The breathing state of the target is detected and sensed in real time through the breathing radar, key parameters are extracted, and the opportunity and intensity of electrical stimulation are dynamically adjusted based on the key parameters, so that personalized synchronization with the natural breathing rhythm is realized, and the treatment efficiency and the user comfort are improved.