4537results about "Electrotherapy" patented technology

A system and method for maintaining an oxygen concentration of a biological sample. The oxygen concentration can be maintained by measuring the oxygen concentration within the biological sample and adjusting a rate of an oxygen supplier in response to this measurement. For example, when the oxygen concentration is below a threshold, oxygen can be delivered to the biological sample at a higher rate.

Systems and methods herein generally relate to prolonging viability of bodily tissue, especially an organ, by adjusting pressure as needed to maintain a constant pressure within the organ even during external pressure fluctuations due, for example, to transportation of the organ in an airplane. The systems and methods herein can include an electronic pump that pumps gas into an organ and a mechanical pressure regulator to release gas based on organ pressure.

The invention discloses a sleep monitoring and intervention method and system based on electroencephalogram signals, and belongs to the technical field of sleep monitoring and intervention. The method comprises the steps that electroencephalogram signals are collected through a dry electrode worn on the head of a user; the signals are preprocessed; performing automatic sleep staging on the pre-processed signal based on a layered space-time joint modeling network, and outputting a waking period label, an N1 period label, an N2 period label, an N3 period label and an REM period label; whether intervention conditions are met or not is judged based on the staging labels and the real-time electroencephalogram spectrum features; and if yes, generating and applying an alternating current stimulation signal for intervention. The system comprises a wearable electroencephalogram acquisition device, a signal analysis module and an intervention module. According to the method, the deep learning model integrating front-end self-adaptive processing, the graph neural network and Transform is adopted for sleep staging, closed-loop phase synchronous stimulation driven by the digital phase-locked loop is combined on the basis, connection from sleep monitoring to closed-loop intervention is achieved, and the sleep monitoring accuracy and the intervention effect are effectively improved.

The invention belongs to the technical field of nerve regulation and control, and discloses a portable noninvasive brain deep electrical stimulation system based on time interference, and the system comprises an electroencephalogram signal collection unit which is used for obtaining an electroencephalogram signal in a high-quality resting state, and carrying out the signal preprocessing and feature extraction, thereby obtaining an optimal stimulation envelope frequency; the personalized finite element modeling unit is used for constructing a head personalized model and outputting optimal electrode configuration and stimulation parameters for a target brain region target spot; the electrode positioning and stimulation execution unit is used for realizing accurate positioning of an electrode position and implementing time interference electrical stimulation; the MCU unit is used for realizing data management, task scheduling and remote communication; the human-computer interaction unit is used for realizing visual treatment flow and parameter setting; and the power supply management unit provides stable working voltage for the system. According to the invention, the portable, intelligent and personalized modeling of the electrical stimulation treatment equipment is realized, and the precision and efficiency of nerve regulation and control are remarkably improved.

The invention provides a transcranial stimulation magnetic therapy closed-loop control method and system, and the method comprises the steps: determining a multi-modal physiological signal of a user, the multi-modal physiological signal at least comprising an electroencephalogram signal, an autonomic nerve physiological signal and a subjective feedback signal; constructing an individual dynamic baseline spectrum based on user multi-state data collected before treatment; the method comprises the following steps: preprocessing a multi-modal physiological signal collected in a treatment process, and extracting a real-time feature vector; calculating a comprehensive deviation index of the real-time feature vector and the individual dynamic baseline spectrum, and determining a deviation type based on the comprehensive deviation index; the adjustment amount of transcranial magnetic stimulation parameters is dynamically calculated according to the deviation type, the individual response characteristics and the historical treatment data, stimulation operation is conducted according to the adjustment amount of the transcranial magnetic stimulation parameters, and the transcranial magnetic stimulation parameters at least comprise the stimulation frequency, the intensity, the pulse width and the stimulation duration. Parameters of transcranial magnetic stimulation are adaptively changed according to changes of neuron oscillation of a patient in the treatment process.

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.

The utility model discloses a tumor electric field treatment device and a treatment system, the tumor electric field treatment device is provided with a frame body and a pole piece module, the frame body forms a skeleton structure of the treatment device, the pole piece module is attached to the frame body, the pole piece module is provided with a plurality of electrode contacts, and each electrode contact can form an active contact or a passive contact. The active contact and the radio frequency generation module can form a loop; after the treatment device is implanted into a tumor excision part, all the electrode contacts form active contacts, and all the electrode contacts and the radio frequency generation module form a loop to distinguish normal tissues from pathological tissues; after the normal tissue and the lesion tissue are distinguished, the electrode contacts in the normal tissue area form passive contacts, and the electrode contacts in the lesion tissue area form active contacts, so that targeted treatment of the lesion tissue is realized, and side effects generated by electric field treatment are reduced.

Wearable modular mask systems for combination face and skincare diagnostics and therapeutics. Systems include devices that can be attached to wearable masks for diagnosis and treatment of skin conditions, diseases, and disorders, as well as for cosmetic improvements to the skin of the face and scalp.

The invention discloses a transcranial magnetic navigation and curative effect evaluation system based on electroencephalogram power spectrum analysis, particularly relates to the technical field of electroencephalogram signal processing, and is used for solving the technical problem that existing transcranial magnetic stimulation treatment lacks interference evaluation and stimulation path optimization on a cortical collaborative area. According to the method, electroencephalogram signals of a testee in a resting state and a task state are collected, phase-amplitude coupling indexes between frequency bands are extracted, a frequency-crossing coupling matrix is constructed, a nested chain structure with modulation direction consistency is identified, a stable resonance channel group is extracted from a channel intersection set to form a collaborative active region, and the collaborative active region is constructed. And after mapping to a standard brain map, carrying out space matching with a TMS target spot, evaluating an interference risk level, formulating a stimulation avoidance strategy, recording side reactions during treatment, and constructing a curative effect scoring window in a normalization manner, so as to realize synchronous optimization of stimulation planning and curative effect evaluation.

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.

A mobility augmentation system monitors a user's motor intent data and augments the user's mobility based on the monitored motor intent data. A machine-learned model is trained to identify an intended movement based on the monitored motor intent data. The machine-learned model may be trained based on generalized or specific motor intent data (e.g., user-specific motor intent data). A machine-learned model initially trained on generalized motor intent data may be re-trained on user-specific motor intent data such that the machine-learned model is optimized to the movements of the user. The system uses the machine-learned model to identify a difference between the user's monitored movement and target movement signals. Based on the identified difference, the system determines actuation signals to augment the user's movement. The actuation signals determined can be an adjustment to a currently applied actuation such that the system optimizes the actuation strategy during application.

The invention relates to the technical field of electric acupuncture apparatuses, and discloses a method and a system for automatically adjusting stimulation parameters of an electric acupuncture apparatus. According to the method, body surface electromyographic signals, skin impedance and capillary hemodynamic parameters of a user are collected in real time through a sensor set, feature extraction and analysis are conducted through a time sequence prediction model of a Transform architecture, and physiological feature data are generated. And then, constructing a user physiological state characterization model by adopting a multi-modal neural perception fusion algorithm, and carrying out collaborative optimization on the electrical stimulation parameters through an adaptive quantum particle swarm optimization algorithm to generate a stimulation parameter combination matched with the real-time neuromuscular response characteristics of the user. The system drives electrical stimulation output according to the parameter combination, monitors physiological data changes in real time, realizes closed-loop dynamic balance of stimulation parameters and biological feedback signals through the dynamic parameter compensation module, and improves the treatment effect and safety.

Methods and apparatus for changing a brain state of a person from an initial brain state to a target brain state are described. The method includes receiving information characterizing the initial brain state, the information including a structural composition and a functional architecture of the brain, estimating based, at least in part, on the received information, a potential for the brain to change from the initial brain state to the target brain state, determining based, at least in part, on the received information and the estimated potential for the brain to change from the initial brain state to the target brain state, a non-invasive brain stimulation protocol, and controlling at least one non-invasive brain stimulation device to stimulate the brain according to the non-invasive brain stimulation protocol. The method also includes using brain information to inform the design of computational general artificial intelligence agents.

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 relates to the technical field of beauty instrument control methods, in particular to a beauty instrument control method and system. According to the method, skin optical characteristics, biological impedance parameters and environmental parameters are acquired through multi-dimensional data acquisition, and a characteristic data set containing hemoglobin concentration, moisture content, real part of electrical impedance and environmental temperature is generated after preprocessing. Based on the data set, a multi-engine prediction model is adopted to analyze the skin state change trend, and predicted values of the moisture demand, the temperature sensitivity, the barrier function and the microcirculation state are generated. Then, optimization instructions of radio frequency energy, a phototherapy mode, micro-current parameters and temperature control are calculated respectively according to prediction results, and safety and coordination of parameter adjustment are ensured through cooperative verification. According to the invention, through dual-time scale prediction and multi-parameter collaborative optimization, the problem of nursing effect lag caused by environment change and skin state fluctuation of a traditional beauty instrument is solved, and the nursing precision and stability are significantly improved.

The invention relates to the technical field of biomedical materials, and discloses an electret electrostatic therapy membrane and a preparation process thereof.The electret electrostatic therapy membrane is prepared from, by mass, 15%-20% of fluorinated polyether ester, 10%-20% of a composite nano-fiber material, 10%-20% of a composite nano-fiber material, 10%-20% of a composite nano-fiber material and the balance water. 1%-2% of carboxymethyl chitosan; 2-5% of nano cerium oxide particles with the particle size of 50-100 nm; 0.5-1.0% of graphene quantum dots, the particle size of which is 5-10 nm; 1%-2% of sodium hyaluronate; the components are prepared into a film through an electrostatic spinning method, electret performance is given to the film through a charge injection process, finally, the film body is attached to a flexible silica gel adhesion layer, and the flexible silica gel adhesion layer is externally coated with a peelable protective film so that the structural integrity can be kept before the flexible silica gel adhesion layer is used. The composite membrane body disclosed by the invention shows excellent adhesion, charge activation capability and thermal response performance in applications of electrostatic therapy, dielectric assisted stimulation and the like, and has good multi-scene adaptability and clinical application potential.

Systems and methods for managing physiological events generated by a medical device in a patient are discussed. An exemplary system includes a controller circuit to receive information about a plurality of physiological events detected by a medical device in a patient, generate for each of the physiological events a respective feature set using the received information, and cluster the physiological events into different event groups using values of temporal or morphological features of the generated feature sets. The event groups each include a respective set of physiological events. The controller circuit can identify from at least one event group a representative event representing the physiological events of that event group, and output to a user or a process the representative event and an indication that the representative event has been determined and represents the set of physiological events in the even group.

The invention discloses a transcranial stimulation magnetic therapy coil navigation method, a transcranial stimulation magnetic therapy coil navigation system, a storage medium and equipment. The method comprises the following steps: acquiring three-dimensional structure information of the head of a target object, magnetic resonance imaging (MRI) data of an individual target object, or three-dimensional model data obtained by matching from a general MRI template library; real-time surface geometric information of the head of the target object is collected through an infrared optical tracking system; performing registration fusion on the three-dimensional structure information and the real-time surface geometric information, and generating an individualized three-dimensional brain model synchronized with a real space coordinate system on a navigation interface; the spatial position and posture of the optical marker fixed on the magnetic therapy coil are tracked in real time through an infrared optical tracking system and correspondingly mapped to the individualized three-dimensional brain model, and visual navigation of the magnetic therapy coil relative to the brain anatomical structure is achieved. Through the individualized three-dimensional navigation and real-time visualization technology, the problems that a traditional TMS is low in positioning precision, invisible in operation and poor in treatment repeatability are solved.

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 present disclosure discloses a physiological disorder alert system (114) for alerting a subject. The system (112) includes a plurality of biosensor electrodes (102), and a controller (104). The plurality of biosensor electrodes (102) measure at least one physiological parameter of the subject (112). The controller (104) detects a plurality of anomalies present in the EEG signal based on comparing the EEG signal with an updated output from a predetermined longitudinal EEG using at least one of Artificial Intelligence model and determines a presence of a plurality of biomarkers associated with at least one anomaly in the EEG signal, using a transformer-based machine learning model. The controller predicts an occurrence of the physiological disorder, upon determining that the plurality of biomarkers associated with at least one anomaly is present in the EEG signal and generate the physiological disorder alert for a user equipment (UE) (116).

The disclosure relates to devices and methods for applying a magnetic field on a body of a patient. The time-varying magnetic field may applied to a brain of the patient. The disclosure provides a method of finding the position suitable for application of the magnetic field to the brain. The devices and methods of the disclosure may be suitable for reducing of food craving.

A betavoltaic power source. The power source comprises a source of beta particles and a plurality of regions for collecting the beta particles and for generating electron hole pairs responsive to the beta particle flux. The power source is intended for in vivo applications and is scaled to fit within a catheter for placing the power source and one or more sensors or activators within a living body. Preferably, a secondary power source is charged by a current developed by the electron hole pairs for providing constant power to the sensors or activators.

The invention provides a method for generating a personalized nerve regulation and control stimulation scheme, and aims to generate a precise nerve regulation and control stimulation scheme for an individual through an electroencephalogram evaluation result. The method comprises the following steps: firstly, constructing a scheme library containing a plurality of transcranial electrical stimulation basic schemes; secondly, collecting resting-state electroencephalogram signals of a user, extracting electroencephalogram characteristic indexes related to emotion, cognition and sleep, and comparing the electroencephalogram characteristic indexes with a norm database to judge cognition risks; generating a primary stimulation scheme according to an evaluation result, and if a cognitive risk exists, further detecting that a feature index is abnormal and generating a targeted correction scheme; all the schemes are subjected to priority ranking, and the sequence is determined according to the abnormal severity degree and the clinical weight; and finally, outputting a personalized treatment scheme sequence of one week. According to the method, the accuracy and effectiveness of treatment are improved, high individuation, systematicness, practicability and dynamic optimization potential are achieved, and powerful support is provided for nerve regulation and control treatment.

The invention belongs to a lumbar vertebra brace, and particularly relates to an intelligent self-adaptive lumbar vertebra rehabilitation brace combining targeted physiotherapy and biological feedback, which comprises a shell consisting of a front piece, side wings and a rear piece, the treatment module is arranged in the through hole area of the front piece and integrates a vibration actuating array, a flexible warming piece and a TENS electrode; the sensor module is provided with an overall detachable patch, and the sensor module integrates an interface pressure array, an IMU, an sEMG, an NTC and a PPT micro probe; the multi-cavity air bags are arranged along transition areas of the side wings and the front piece in a partitioned mode, and the micropump and the electromagnetic valve are connected with the multi-cavity air bags. One end of the self-adaptive winding adjusting module is arranged on the rear piece, the other end of the self-adaptive winding adjusting module is located in a winding cavity of the side wing and connected through a pull rope, the side wing end can be wound and stretched to adjust the tightness degree, vibration, heat and TENS parameter self-adaption are carried out on a pain point through PPT and sEMG feedback, lumbago can be reduced in a short time, and the curative effect can be quantified through PPT and myoelectricity.

The invention discloses a transcranial electrical stimulation control method and system for regulating mental fatigue, and belongs to the technical field of mental state regulation. The system comprises an EEG collecting and processing module and an electrical stimulation module which are in wireless communication to form a closed loop. The EEG collecting and processing module collects a forehead lobe three-lead EEG signal, after preprocessing (baseline drift and high-frequency interference are removed through FIR filtering, and eye movement artifacts are removed through combination of wavelet transform and Kalman filtering), the mental fatigue state is classified through an onboard lightweight convolutional neural network (CNN) algorithm, and a control command is generated; the electrical stimulation module receives the command, generates bipolar pulse width modulation transcranial direct current stimulation (tPWMDCs) current, and stimulates the prefrontal lobe. Local low-power-consumption reasoning of EEG signals is achieved, tPWMDCs avoid skin injury, a closed-loop system dynamically adapts to individual differences, portability, safety and accuracy are achieved, and the system is suitable for driving, office and other scenes.

The invention discloses an MEP automatic measurement and threshold discrimination method and system based on a mechanical arm. The MEP automatic measurement and threshold discrimination method comprises the following steps: constructing a scalp hotspot probability distribution map based on a brain map; dividing the hotspot scalp map into a plurality of sub-regions, and selecting candidate points from the plurality of sub-regions to obtain a candidate scalp stimulation point list; carrying out transcranial magnetic stimulation according to a point position sequence of the candidate scalp stimulation point list, simultaneously collecting a motor evoked potential signal triggered by each stimulation, and simultaneously collecting a motor evoked potential signal triggered by each stimulation; preprocessing and feature extraction are carried out on the collected motor evoked potential signals, whether stimulation evokes effective MEP response or not is judged through a response judgment method, and a candidate point-MEP response database is formed; screening an optimal motion hotspot point location in the candidate area, and taking the optimal motion hotspot point location as a target site; and searching an individualized resting motion threshold value on the optimal motion hotspot point location.

The invention discloses a system and method for performing cranial nerve stimulation based on olfaction, hearing and synchronous magnetomotive stimulation, and the system comprises a magnetic therapy bearing main body which is a magnetic therapy helmet, serves as a basic bearing structure of the system, and is used for installing all functional assemblies, providing magnetic therapy physical auxiliary stimulation, and achieving the cooperation of magnetic therapy and multi-mode stimulation; the olfactory stimulation subsystem is used for providing olfactory stimulation with precise regulation and control; the auditory stimulation subsystem is used for providing personalized audio stimulation; the magnetomotive stimulation subsystem is used for providing magnetomotive stimulation; the nerve stimulation cooperation subsystem is used for planning multi-mode stimulation as a whole and achieving regulation and control. Through the synergistic effect of olfactory stimulation, auditory stimulation and magnetomotive stimulation, three major neural pathways of olfactory, auditory and somatosensory can be activated at the same time, multi-dimensional nerve resonance is formed, the brain wave synchronization degree is remarkably improved, and the adjuvant therapy effect on Alzheimer's disease, cognitive impairment and other diseases is superior to that of single-mode stimulation.

A system, method and network architecture for facilitating remote care delivery involving a patient having an implantable medical device (IMD). Upon establishing a remote care session between a patient controller device and a clinician programmer, wherein the clinician and the patient are remotely located with respect to each other, telehealth consultation may be provided to the patient by the clinician via an audiovisual (AV) communications session channel. Responsive to determining that the patient requires remote therapy, one or more (re)programming instructions may be provided to the patient's IMD via a remote therapy session channel of the remote care session using an integrated graphical user interface (GUI) that may include suitable GUI controls for AV communications, remote session control as well as the remote programming of the patient's IMD.

The invention provides a transcranial magnetoacoustic stimulation closed-loop feedback method and system based on electroencephalogram guidance. The method comprises the steps that original electroencephalogram signals of a target brain area are collected and preprocessed; target brain region activity features are extracted based on the preprocessed electroencephalogram signals, and the neural activity state of the target brain region is judged according to the target brain region activity features; according to the state judgment result, initial stimulation parameters are generated and optimized in combination with a preset stimulation response model; the generated initial stimulation parameters are converted into actual stimulation signals, the transcranial magnetoacoustic stimulation device is controlled to execute ultrasonic and magnetic field stimulation on the target brain area, and closed-loop feedback is conducted according to the activity state of the target brain area. According to the method, the limitation of a traditional transcranial stimulation method in the aspects of real-time feedback, individualized adaptation, artifact interference and safety control is effectively solved, accurate, controllable and individualized intervention of the neural activity of the target brain region is achieved, and a repeatable, safe and efficient technical means is provided for nerve regulation and control research and clinical application.