14 results about "Muscle response" patented technology

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.

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.

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 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.