20 results about "Muscle response" patented technology

The invention relates to a neuromuscular electrical stimulation multi-objective self-tuning optimization method, which comprises the following steps: dynamically establishing a framework for muscle response in a time window sliding modeling mode, and describing short-term excitability change and fatigue accumulation by the framework according to historical stimulation frequency density and total energy integral accumulation variable; introducing a short-time response curve recognition mechanism: after stimulation, according to micro changes of an electromyogram and a force output curve, judging whether a nerve and muscle coupling state is in a deviation trend or not; when the output trend is evolved towards the target improvement direction, current strategy fine tuning is kept; if the trend is stagnated or reversed, the weight combination or the step length is actively adjusted; constructing a multi-target co-integration matrix for analyzing whether the current response changes of different targets are in a consistent direction; when it is detected that two certain targets have an inverse correlation change, the system carries out conflict decomposition processing once; interference compromising is carried out on conflict indexes, and short-term power down-regulation is carried out; and forming a dynamic strategy framework.

A system for longitudinal assessment of nerve health includes a stimulator to deliver electrical stimuli proximate a target nerve, a sensor to detect muscle responses evoked by the stimuli, a display, and a processor in communication with the stimulator, sensor, and display. The processor controls delivery of the stimuli; determines, from the detected muscle response, one or more nerve-function parameters for the target nerve including at least a stimulation threshold; stores the parameters with a session identifier; retrieves parameters from multiple sessions to compute a longitudinal trend; and controls the display to present the trend together with an indication of the target nerve's status relative to a target range. The system supports objective session-to-session tracking to inform clinical decisions.

The invention relates to a closed-loop control method suitable for personalized lower limb exercise training, belongs to the technical field of exercise rehabilitation, and designs a closed-loop control method for dynamically adjusting lower limb training load according to muscle activation degree by combining surface myoelectricity characteristics with a personalized training model and a closed-loop control algorithm. According to the method, the resistance load can be adjusted in real time according to the muscle state, and finally the muscle activation level in the training process is maintained in an expected range. In the pre-training stage, sEMG data are collected to establish a personalized mapping model, and response characteristics of individual muscles are quantified; in the formal training stage, the muscle state is monitored in real time, the reference load is predicted through the model, and a closed-loop control algorithm is adopted to generate dynamic adjustment amount to adjust resistance output in real time. The invention further provides a closed-loop control system suitable for personalized lower limb exercise training.

The invention discloses a traction force control optimization method and device of a lumbar vertebra tractor, and relates to the technical field of traction force control. The traction force control optimization method of the lumbar vertebra tractor comprises the following steps: acquiring contact movement time sequence data of the current traction period of the lumbar vertebra tractor, and analyzing a traction surface three-dimensional time sequence point set of the current traction period; in combination with a pre-trained traction recognition model, a traction structure surface co-integration index of the current traction period is analyzed; user muscle response data of the current traction period are obtained, a muscle traction response consistency index of the current traction period is analyzed, comprehensive analysis is conducted on the muscle traction response consistency index and a traction structural surface co-integration index of the muscle traction response consistency index, and a traction adaptation degree index is obtained. Therefore, the body reaction of the user in the lumbar traction process can be accurately captured, and then the traction force is adjusted to ensure that the distribution of the traction force is always matched with the state of muscles and waist tissues of the user.

An apparatus for delivering stimulation energy to a patient is provided. The apparatus comprises an algorithm for determining a stimulation paradigm comprising one or more stimulation parameter settings, and an implantable system comprising an implantable device. The implantable device comprises at least one sensor for measuring evoked compound action potentials (eCAPs), muscle responses, and / or other neural responses, and multiple stimulation elements configured to deliver the stimulation energy to tissue based on the stimulation paradigm. The algorithm is configured to determine the stimulation paradigm based on the measured neural responses. Methods of delivering stimulation energy are also provided.

A system and computer-implemented method for intraoperative assessment of nerve health. A processor determines a nerve function parameter from an electrically evoked muscle response to stimulation proximate to a nerve. The processor generates an individualized, predictive target range by accessing a database of historical patient data, identifying a subset of patients with pre-operative characteristics similar to those of the subject, and defining the target range based on intraoperative nerve function measurements associated with successful post-operative outcomes in that subset. A display presents the determined nerve function parameter relative to the individualized target range to provide real-time guidance. The system can integrate intraoperative imaging to concurrently display anatomical and functional information. A predictive model used to generate the target range is refined over time by incorporating outcomes from additional patients, enabling continuous improvement of the assessment.

The invention relates to the technical field of muscle electrical stimulation training, in particular to a pelvic floor muscle function regulation and control method for gynecology based on multi-frequency electrical stimulation. Obtaining electrical stimulation time sequence data, electromyographic signals and muscle pressure time sequence data in the pelvic floor muscle electrical stimulation process; on the basis of the local pressure change intensity and the electromyographic signal fluctuation complexity, quantifying a muscle fatigue index; the asynchronism coefficient of the electromyographic signals and the electrical stimulation time sequence is analyzed and calculated through frequency domain phase synchronism, the matching degree of the signals and muscle response is quantified, and the matching condition of the electrical stimulation transmission efficiency index, the characterization parameters and the physiological state is calculated in combination with the frequency domain difference of the electromyographic signals and preset signals and the muscle fatigue index; finally, based on a closed-loop regulation and control mechanism of a muscle fatigue index, an electrical stimulation transmission efficiency index and a pressure change index, the electrical stimulation current intensity and the switching frequency are dynamically adjusted, the problem of poor individual suitability is solved, real-time optimization of electrical stimulation parameters is achieved, and the regulation and control effect is enhanced.

Provided is a medical system and method for neuromonitoring based on a biosignal. The medical system includes a computing system and performs the method for neuromonitoring based on a biosignal. The method includes monitoring and analysing the biosignal for localizing autonomic nerves associated with a stimulus-induced muscle reaction of smooth muscles of a target organ. The analysing step includes performing time-domain signal analysis of the biosignal to obtain time-domain signal characteristics; performing time-frequency-domain signal analysis of the biosignal to obtain time-frequency-domain signal characteristics; and determining, based on the time-domain signal characteristics and the time-frequency-domain signal characteristics, whether the biosignal is representative of a stimulus-induced muscle reaction. The method further includes outputting an indication that the stimulus-induced muscle reaction has been detected based on determining that the biosignal is representative of the stimulus-induced muscle reaction.

A method of monitoring depth of muscle relaxation of a patient includes applying a series of stimulations to a nerve of a patient and measuring muscle responses thereto. A maximal stimulus current, a supramaximal stimulus current, and / or a submaximal stimulus current are determined based on the muscle responses, wherein the maximal stimulus current is a current at which a maximal muscle response is produced from stimulating the nerve, the supramaximal stimulus current is greater than or equal to the maximal stimulus current, and the submaximal stimulus current is less than the maximal stimulus current. A first set of stimulations are applied to the nerve of the patient. Either the supramaximal stimulus current or the submaximal stimulus current are then selected for a subsequent series of stimulations based on the measured muscle responses to the first series of stimulations, and the subsequent series of stimulations are performed accordingly to monitor the patient's depth of muscle relation.

The invention relates to the technical field of intelligent medical treatment, in particular to an artificial intelligence-based acupoint stimulation system, which is characterized in that strain values generated by contact between acupoint electrodes and skin are acquired through a data extraction module, each acupoint electrode is controlled to be in a pre-output state through a stimulated evaluation module, and stimulated acupoints are screened in the pre-output state; the stimulated condition is judged through an intelligent analysis module according to the analysis result of the stimulated performance; and judging whether the first stimulation parameter is qualified or not based on the stimulated condition through a positioning adjustment module, or determining a second output parameter. Furthermore, a dynamic parameter adjustment mechanism is generated based on human physiological signals and muscle response characteristics, and the precision and intelligence of the acupoint stimulation process are improved according to physiological association among different acupoints in a multi-acupoint collaborative stimulation scene.

A spinal cord stimulator (SCS) system and method for placing SCS electrodes in a patient for spinal cord stimulation therapy. The SCS system includes a stimulator and a base unit. In conjunction with a machine learning (ML) block, the base unit includes an algorithm module to store and process algorithms for processing data received from recording electrodes placed in a patient's body. The recording electrodes send electromyography (EMG) data to the algorithm module. The algorithm module processes and sends the EMG data to a display device. The displayed data is used, by a surgeon, for lateralization of the SCS electrode. The SCS system further includes algorithms to adjust stimulation parameters related to SCS electrodes based upon the surgeon's workflow. Further, the SCS system allows manual modification of stimulation parameters based upon muscle responses and the EMG data from the recording electrodes.

A method for assessing nerve health during a surgical procedure includes: applying one or more electrical stimuli proximate to the target nerve during the surgical procedure; detecting a muscle response evoked by the one or more electrical stimuli; determining at least one nerve function parameter indicative of the health or function of the target nerve; identifying a target range for the at least one nerve function parameter adapted for the target nerve, the target range being predictive of a desired nerve health status of the target nerve; and outputting an indication of the determined at least one nerve function parameter relative to the identified target range to provide real-time feedback during the surgical procedure involving the target nerve.

This invention discloses a time-interference-based closed-loop neuromodulation system and method. The system includes: a physiological signal acquisition module for synchronously acquiring multimodal physiological signals from the user; a processing and decision module for fusing the multimodal physiological signals, real-time discrimination of respiratory events and target tissue recruitment status, and generation of modulation commands based on the discrimination results; and a programmable stimulation module for generating at least two high-frequency carrier currents with different frequencies according to the modulation commands, and applying them to the user's mandibular region through surface electrodes to stimulate the target tissue. The processing and decision module is also used to dynamically adjust the modulation commands based on the response of the multimodal physiological signals to the stimulation, thereby controlling the programmable stimulation module to perform at least one of intensity modulation, focus modulation, and target modulation. This invention can sense airway status and muscle response in real time and dynamically optimize the intensity and spatial focus of time-interference stimulation, achieving efficient and comfortable OSA treatment.

An electrical stimulation device and a method for controlling an electrical stimulation device using the same are disclosed. The electrical stimulation device and the method for controlling an electrical stimulation device using the same are composed of a plurality of cells including at least one sensor, a pad worn on a part of a user's body to apply electrical stimulation to damaged muscles in a specific area, and a controller that dynamically controls the operation of the at least one sensor to adjust the current intensity and range of the electrical stimulation applied to the pad. By applying various pattern arrangements in which measurement points and stimulation points are clustered or dispersed, the degree of response of the muscles in a specific area to electrical stimulation is continuously measured and analyzed, and if the degree of muscle response is measured to be below a certain standard, the measurement range and the current intensity of the electrical stimulation are dynamically reset to improve the rehabilitation effect of the user. This provides a high-performance, high-efficiency, and high-reliability electrical stimulation device and a method for controlling an electrical stimulation device using the same.

Method and apparatus for transdermal stimulation to treat overactive bladder and other medical ailments are described herein. The method may generally comprise non-invasively positioning a first portion of a patient's body relative to an electrical stimulator such that a target nerve within the first portion of the body is in proximity to the electrical stimulator, delivering an electrical stimulus from the electrical stimulator to the target nerve, detecting electrical conduction through a response nerve or detecting a muscular response caused by an electrical conduction through the response nerve via at least one sensor positioned along a second portion of the body, receiving a signal from the at least one sensor indicative of the detected electrical conduction or muscular response thereby providing feedback about the existence of neuropathic-irresponsiveness along the target nerve, and adjusting stimulation parameters of the electrical stimulator based on the feedback.

A neuromuscular sensing method includes transmitting an electrical stimulus from a distal end portion of an elongate stimulator extending within an intracorporeal treatment area of a subject and detecting an artificially induced response of at least two muscles of the subject in response to the transmitted electrical stimulus, each response being detected by a respective sensor in mechanical communication with the muscle. A graphical user interface (GUI) is transitioned from a first state to a second state; the first state indicating to the transmission of a stimulus with no artificially induced response detected, and the second state indicating the detection of the artificially induced response of the at least two muscles, and further identifying one of the at least two muscles as a primary muscle response.

The present invention relates to the technical field of myopia treatment, and in particular to an intelligent myopia treatment device, comprising: a host, an electrotherapy component, a data input module, a data acquisition module, a data analysis module, a data judgment module, and a current control module; determining a treatment strategy according to the degree of myopia, determining the maximum intensity of a pulse current according to skin resistance, establishing an electromyogram based on an electromyographic signal to determine the average absolute value of the amplitude of the electromyogram, and constructing a power spectrum density graph and an instantaneous amplitude curve based on the electromyogram; determining whether the patient's muscle activity range is qualified based on the average absolute value, determining an optimal pulse current frequency based on the power spectrum density graph, and determining the qualification of the muscle activity intensity based on the instantaneous amplitude curve; adjusting the pulse width of the pulse current if it is determined that the patient's muscle activity range is unqualified, and adjusting the maximum intensity if it is determined that the muscle activity intensity is unqualified. The present invention improves the myopia muscle response of the myopia treatment device.

A system for longitudinal assessment of nerve health includes a stimulator to deliver electrical stimuli proximate a target nerve, a sensor to detect muscle responses evoked by the stimuli, a display, and a processor in communication with the stimulator, sensor, and display. The processor controls delivery of the stimuli, determines, from the detected muscle response, one or more nerve-function parameters for the target nerve including at least a stimulation threshold; stores the parameters with a session identifier; retrieves parameters from multiple sessions to compute a longitudinal trend; and controls the display to present the trend together with an indication of the target nerve's status relative to a target range. The system supports objective session-to-session tracking to inform clinical decisions.

In state of art techniques, it is challenging to predict how a specific Ankle Foot Orthosis (AFO) will impact muscle action and reduce an energy cost of walking for individual subjects. The disclosed method focusses on personalized and optimal selection of an AFO controller using an AFO torque, and a plurality joint ankle angles of each of a plurality of AFO controllers integrated with a musculoskeletal human lower limb model (MHLLM). The plurality of muscle forces is computed using the MHLLM for each of the plurality of AFO controllers. Further the method computes a plurality of muscle response metrics, from the plurality of muscle forces and an additional joint torque for each of the AFO controllers. Further the method combines the plurality of muscle response metrics which enables the selection of a personalized optimal AFO controller among the plurality of AFO controllers of a (cerebral palsy) CP subject.