172 results about "Muscle activity" patented technology

This invention is an article of clothing with electromyographic (EMG) sensors which measures body motion and / or muscle activity. This clothing can be a short-sleeve shirt or a pair of shorts, wherein the electromyographic (EMG) sensors are on the cuffs. The electromyographic (EMG) sensors can be modular; they can be removably attached to different locations in order to create a customized article of electromyographic clothing which optimally measures the muscle activity of a particular person or muscle activity during a particular sport. This clothing can also include bending-based motion sensors.

The invention relates to the technical field of pelvic floor muscle repair, in particular to a pelvic floor muscle repair method and related equipment, and the method comprises the following steps: acquiring a surface electromyogram signal collected by a surface electrode; based on bispectrum analysis, effective feature extraction is carried out on the abdominal electromyographic signals and the pelvic floor electromyographic signals, the extracted features are input into a deep learning model, and the muscle activity state is analyzed; the muscle activity state is fed back to the patient, and the patient is prompted to adjust contraction and relaxation of pelvic floor muscles through voice; through contraction and relaxation of pelvic floor muscles, the pelvic floor function condition is evaluated based on a Glazer evaluation method; and according to the pelvic floor function condition, selecting a corresponding treatment mode for pelvic floor muscle repair. The pelvic floor muscle repairing effect can be improved.

The invention relates to the technical field of rehabilitation medicine, in particular to a body carving slimming method for fat metabolism based on bioelectricity feedback and acupoint stimulation. The invention provides a body carving slimming method based on bioelectricity feedback and acupoint stimulation. The body carving slimming method comprises the four steps of obtaining, processing, acupoint stimulation and outputting. Bioelectricity signals and weight data of body parts of a user are collected through a bioelectricity and weight detection device. The muscle activity state and fat distribution are analyzed, a posture improvement value is calculated, and a personalized body carving training scheme is generated. In an acupoint stimulation link, electrical stimulation is performed on a specific acupoint according to the scheme, bioelectricity feedback is monitored in real time, and stimulation parameters are dynamically adjusted. And generating a personalized report containing the posture change and the training effect evaluation, and providing suggestions to the user. According to the method, the effect, safety and individuation are remarkably improved, and a new direction is opened up for development of the body carving and slimming field.

The invention discloses a multi-link collaborative evaluation and feedback system for upper limb rehabilitation training, and belongs to the technical field of medical rehabilitation, and the system comprises a data collection module which is used for obtaining the related data of the upper limb of a patient in the rehabilitation training process, and the related data comprises the motion posture, the muscle activity condition and the joint activity degree; the data processing module responds to the data acquisition module and is used for preprocessing the acquired related data, including filtering and denoising the related data, acquiring feature information in the preprocessed related data and sending the feature information to the data acquisition module; the feature information comprises movement tracks of joints, contraction intensity and time of muscles and coordination of upper limb movement. Multi-dimensional data such as action postures, muscle movement conditions and joint movement ranges in upper limb rehabilitation training are collected, preprocessing and feature extraction are carried out through the data processing module, the upper limb rehabilitation condition of a patient can be comprehensively and accurately evaluated, and a basis is provided for formulating a personalized rehabilitation scheme.

The invention discloses a wavelet enhancement cooperative activation method for FES multi-target time sequence regulation and control, and relates to the technical field of biomedical engineering. According to the model, an overlapped sliding window is analyzed through a multi-channel surface electromyographic signal, a time-frequency energy significant feature matrix is constructed by combining an energy ratio, and meanwhile, an inter-muscle co-activation matrix is constructed in the multi-channel electromyographic signal sliding window; constructing a multi-channel high-dimension matrix by using each single-channel time-frequency energy significant feature matrix and the multi-channel inter-muscle co-activation matrix, and performing data dimension reduction on the multi-channel high-dimension matrix to obtain a multi-channel multi-dimension time-frequency energy-inter-muscle co-activation matrix; and a muscle activation time sequence vector is screened by using a self-adaptive threshold logic combination rule, and finally an activation time sequence is applied to an FES experiment. According to the method, the movement of the hand on the sagittal plane is accurately predicted by analyzing the multi-channel surface electromyogram signals and the multi-target muscle co-activation characteristics, functional electrical stimulation FES parameters are dynamically adjusted, and accurate control over the muscle activity stage is achieved.

The invention discloses an exoskeleton attitude prediction system for building construction, particularly relates to the field of attitude prediction, and comprises a multi-dimensional sensing module, a data preprocessing module, an attitude prediction model module and a control decision module. A multi-dimensional sensing module collects joint movement, muscle movement and human-computer interaction force data through a nine-axis IMU, a surface myoelectricity sensor and a miniature strain type force sensor; the preprocessing module obtains standardized feature data through filtering, standardization and exception elimination; the attitude prediction model uses a CNN-LSTM hybrid architecture, and outputs a target attitude of 0.5-2 seconds; and the control decision module compares a prediction result with a safety threshold value, generates control instructions in three levels to drive exoskeleton correction, synchronous feedback and recording, solves the problem of response delay of a traditional exoskeleton, and improves the construction safety and efficiency.

The invention relates to the field of mechanical power assisting devices, in particular to a power assisting regulation and control method and system of a walker, a barrier-free walking process under the condition that a user wears the walker is detected, walking gait characteristics and muscle activity characteristics of the user are obtained, and a leg muscle activity state model of the user is constructed; detecting an obstacle avoidance walking process when the user wears the walker, and obtaining leg pressure characteristics of the user, so as to predict leg action information about to occur by the user; and based on the leg muscle activity state model and the leg action information, determining assistance demand information of the legs of the user so as to adjust the assistance effect provided by the walker to the legs of the user. According to the walking device, the leg assisting requirement can be accurately determined, multi-directional assisting support is provided for leg muscles, walking rehabilitation training is strengthened, and the assisting accuracy and reliability of the walking device are improved.

The invention provides a system for controlling a manipulator in real time through hand electromyographic signals, which comprises a data acquisition unit, a terminal equipment unit and a tail end execution unit which are in communication connection through serial ports. The data acquisition unit comprises a data acquisition device and a signal acquisition module, and is configured to acquire a multi-channel electromyographic signal of a hand of a user in real time and perform signal conditioning and digitization so as to obtain a digital signal sequence representing a muscle activity intention of the user; the terminal equipment unit comprises a data preprocessing module, a model training module, a gesture recognition module and an instruction generation module; the tail end execution unit comprises a manipulator control unit which is in communication connection with the control output module and is configured to be used for receiving the manipulator control instruction and driving a manipulator to execute corresponding actions; in combination with a control method, the problems of insufficient real-time performance, poor hand action recognition precision and robustness, unstable control instruction, poor user adaptability and the like in the prior art are solved, and the man-machine interaction performance is improved.

The invention provides a multi-source information fusion intelligent rehabilitation glove system. A main control unit of the system is used for coordinating and controlling all parts of rehabilitation gloves; the charging interface charges the battery; the control panel provides an interactive interface between a user and the system; the servo linear motor is used for controlling movement and position feedback of the rehabilitation glove; the battery supplies power to the system; the LED lamp is used for visual stimulation; the buzzer is used for audio stimulation; the low-frequency electrical stimulation interface is used for electrical stimulation; the multi-source fusion control module is used for monitoring a pressure signal and a muscle activity potential signal of the glove and controlling the movement and strength of the glove in real time; and wireless communication is used for data transmission and remote monitoring. By integrating multi-source information sensory stimulation, the rehabilitation process is enhanced, and particularly, the rehabilitation of damaged nerves is facilitated. Secondly, the multi-source information fusion control module monitors and adjusts hand movement and muscle movement of the patient in real time through a pressure sensor and a myoelectricity sensor, and personalized rehabilitation support is provided.

The invention relates to the technical field of nursing monitoring, in particular to a nursing monitoring system for collecting postoperative data of a patient based on myoelectricity sensing. The system comprises a frequency calculation unit, a power quality unit and a monitoring scheme unit. The active degree of the muscle signals around the postoperative wound of the patient is monitored through the broken line and the horizontal reference line in the postoperative wound electromyogram of the patient, when the root mean square point of the corresponding electromyographic signal in the broken line is higher than the horizontal reference line, it is monitored that the active degree of the muscles around the postoperative wound of the patient is increased, and the postoperative wound recovery state of the patient is good; the postoperative wound recovery condition of the patient is monitored in real time through the electromyogram, unnecessary examination and intervention can be reduced, a nurse can accurately judge the muscle activity condition of the patient according to the result of the electromyogram, and pain and burden brought to the patient by excessive examination are avoided. Meanwhile, unnecessary measures can be avoided, the medical cost is reduced, and the nursing efficiency is improved.

The invention discloses a multi-modal fusion muscular tension dynamic assessment method and system, relates to the technical field of biological dynamic assessment, and is used for solving the problem that muscle activity grade classification errors are increased due to dependence on single surface myoelectricity or joint angle sensor data. Joint angle variation, resistance variation and force feedback intensity are extracted, an evaluation mechanism is constructed in combination with region division and historical threshold values, and muscle activity evaluation levels are calculated; and comparing a preset threshold value to identify a flexibility level, entering a resistance evaluation mechanism when a condition is met, analyzing a muscular tension change trend in resistance data, completing dynamic refined judgment of a flexible state, realizing staged, regionalized and trended fusion evaluation, and improving muscular tension state identification and flexibility level judgment precision.

An apparatus (1) comprising a garment (2), the garment comprising: at least one muscle activity sensor (4, 34) for detecting activity of a muscle at least partially covered by the garment; at least one electrical visual indicator device (14); and a controller (11) configured to: receive an activity signal indicative of detected activity of the muscle from the at least one muscle activity sensor; and cause the at least one electrical visual indicator device to output a visual indication of the detected activity of the muscle in dependence on the received activity signal.

The invention relates to the technical field of cervical vertebra rehabilitation systems, and discloses an intelligent self-adaptive cervical vertebra rehabilitation system. The system comprises a multi-mode sensing unit which synchronously collects form data and soft tissue data of the cervical vertebra of a user through an optical mark point array and an ultrasonic probe array to generate a multi-source sensing data set; the intelligent analysis unit constructs a cervical vertebra dynamic mechanical model by using a graph convolutional neural network based on the multi-source sensing data set, analyzes a cervical vertebra joint coupling relation and stress distribution, and generates an analysis parameter set; the strategy generation unit generates a personalized rehabilitation strategy according to the analysis parameter set, the personalized rehabilitation strategy comprises an action sequence and an impedance adjustment parameter, and a strategy instruction set is formed; the dynamic control unit responds to the strategy instruction set and combines muscle activity data fed back by the electromyographic signal sensor in real time to adjust an execution strategy and generate a control command set; and the flexible driving unit drives the soft robot outer skeleton to perform multi-axis linkage rehabilitation training based on the control command set.

The invention belongs to the technical field of shoulder joint detection, and discloses a shoulder joint stability evaluation system based on surface electromyogram signals, which comprises a data acquisition module, a data processing module and an evaluation analysis module. According to the invention, by synchronously acquiring the angle signal and the surface electromyogram signal, the muscle activity dynamic change of the shoulder joint in the whole movement process can be accurately captured in real time, the evaluation accuracy is remarkably improved, and a foundation is built for accurate diagnosis; in a signal processing link, a plurality of filtering methods are comprehensively applied to carry out deep purification on original surface electromyogram signals, various interference factors such as 50Hz power frequency interference, low-frequency motion artifacts and high-frequency noise are effectively eliminated, the purity and reliability of the signals are guaranteed, and high-quality data are provided for subsequent analysis; and meanwhile, a characterization index of an amplitude absolute value mean value is introduced, so that the muscle activity intensity is reflected more visually and accurately, and the internal correlation between the shoulder joint stability and the muscle activity is deeply excavated.

An electromyography (EMG) measurement device includes a garment configured to be worn on an anatomical region of an associated wearer, a plurality of electrodes arranged on the garment to contact skin of the anatomical region when the garment is worn on the anatomical region of the associated wearer, electronics operatively connected with the plurality of electrodes and configured to measure EMG data emanating from the anatomical region, and an electronic processor programmed to derive a contribution of spatial muscle activity of a target muscle or muscle group to the measured EMG data.

The embodiment of the invention provides an information processing method for a temporomandibular joint, which comprises the following steps: acquiring sensor information, determining six-degree-of-freedom motion information of the temporomandibular joint according to the sensor information, generating a three-dimensional motion track curve of the temporomandibular joint according to the six-degree-of-freedom motion information, and acquiring pain level information. According to the pain level information and the three-dimensional motion track curve, determining a lesion joint and obtaining a joint bouncing audio, according to the joint bouncing audio and the three-dimensional motion track curve, determining a bouncing type and obtaining muscle activity information, and according to the muscle activity information and the three-dimensional motion track curve, determining a muscle abnormal mode, and determining a diagnosis result of the temporomandibular joint based on the three-dimensional motion track information, the diseased joint, the bouncing type and the muscle abnormal mode. On the basis, the method and the device are used for fusing various information of the temporomandibular joint of the patient, and the accuracy of determining the cause of the temporomandibular joint disorder is improved through the motion-sound-myoelectricity combined characteristics.

The present invention relates to the technical field of electric stimulation pulse control, and specifically to an electric stimulation pulse physiotherapy instrument and its electric stimulation pulse adaptive control method. The present invention obtains the cumulative deviation index and deviation contribution index of each dimensional electromyographic feature of each relaxation and contraction interval according to the change trend of each dimensional electromyographic feature of different relaxation and contraction intervals within the neighborhood range of each relaxation and contraction interval; obtains the degree of change of the propagation characteristics in each relaxation and contraction interval according to the weight of the electromyographic features of different dimensions of each relaxation and contraction interval, and the difference fluctuation characteristics of each dimensional electromyographic feature of each relaxation and contraction interval between adjacent positions; obtains the muscle activity index of each relaxation and contraction interval in combination with the fluctuation degree of the moment difference between adjacent positions; and adjusts the electric stimulation pulse. The present invention analyzes the activation effect of the muscle and improves the accuracy of regulation by considering the different stimulation responses of different positions.

The invention provides a self-generating electricity stimulation scoliosis orthosis, and belongs to the technical field of medical instruments. The device comprises a support, protection plates installed at the two ends of the support, a correction belt adjuster installed on the support, a correction belt connected to the correction belt adjuster, a pressure sensor arranged on the correction belt, piezoelectric material modules arranged on a chest belt, a waist belt and the correction belt respectively, and electrode slices used for being connected with the piezoelectric material modules. The correction force is monitored in real time through the pressure sensor and transmitted to the terminal, the piezoelectric material module is utilized to generate electricity for stimulation under the action of mechanical pressure, collaborative treatment of muscle atrophy and the correction force is achieved, the dual functions of accurate regulation and control of the correction force and maintenance of muscle activity are achieved, and the correction effect is improved.

The invention discloses a doctor-patient speech communication model training method and system based on multi-modal corpus analysis, and belongs to the crossing field of artificial intelligence and medical treatment, and the method comprises the steps: carrying out the extraction according to an OpenPose algorithm to obtain motion features, carrying out the muscle activity intensity detection to obtain expression features, carrying out the speech recognition to obtain text features, and carrying out the recognition of the text features; speech segmentation is carried out based on the time domain energy parameters, and a segmentation result is subjected to modal analysis to obtain acoustic features; performing feature fusion based on an attention mechanism to obtain fusion features, and inputting an obstacle recognition model to obtain an obstacle type; the method comprises the steps of obtaining an obstacle type, obtaining an intervention strategy and an intervention identity according to a solution mapping relation, taking the obstacle type, the intervention strategy and the intervention identity as multi-dimensional labels, carrying out time domain alignment and structured packaging to obtain target data, and training according to the target data to obtain a communication model used for providing dialogue prompt information. Obstacle recognition accuracy can be improved, and the intelligent agent application effect can be improved.

The invention belongs to the technical field of medical rehabilitation instruments and biological signals, and particularly relates to a multi-mode fusion intelligent rehabilitation evaluation system based on EMG and PPG. The system comprises a flexible multi-mode sensor array module used for collecting surface electromyogram signals EMG and photoelectric volume pulse wave signals PPG and capturing muscle activation intensity and blood perfusion dynamics in real time; the self-adaptive contact enhancing module is used for driving the airbag assembly to dynamically adjust the contact pressure between the embedded pressure sensor and the skin through the micro air pump; the edge calculation unit module is used for carrying out localization processing on the collected original signals, quantitatively evaluating the collaboration of muscle activity and blood flow fluctuation and judging whether muscle contraction drives local blood flow change or not or whether vessel limitation reversely inhibits neuromuscular activation or not; and the lightweight classification model module is used for processing the time-frequency characteristics of the EMG and the waveform fragments of the PPG, and outputting rehabilitation state labels after screening key collaborative characteristics through an attention mechanism.

The invention relates to the technical field of rehabilitation training, and discloses an electromyographic signal feedback-based upper limb rehabilitation training system, which comprises a main frame body, a training mechanism is mounted on the middle side in the main frame body, and the training mechanism comprises a flexion and extension assembly, a fixing assembly, a massage assembly and an auxiliary training assembly, and is used for carrying out rehabilitation training on arms of a user. An electromyographic signal collecting mechanism is installed on the middle side of the interior of the main frame body and used for collecting the training condition of a user, and a feedback display mechanism is installed on one side of the interior of the main frame body and used for feeding back collected data and displaying the training condition in real time. Through the feedback display mechanism, a user and medical staff can know the muscle activity condition in real time, automatic inflation or deflation is achieved through an air bag in the massage assembly, meanwhile, a vibration motor drives a massage plate and a circular massage block to vibrate, muscles and acupuncture points are stimulated, blood circulation is promoted, muscle fatigue and aching pain can be effectively relieved, and the rehabilitation effect is improved.

Methods and systems for determining changes in muscle activity patterns based on the optical response of subcutaneous human body structures are presented, along with methods and systems for controlling assistive robotic systems based on the measured muscle activity patterns. Elements of a muscle activity measurement system are mechanically coupled to a wearable structure that fits closely to a portion of the body of a human user. The muscle activity measurement system includes multiple emitters and detectors at different spacing along the skin surface. In some embodiments, the illumination intensity of each measurement channel, the programmable gain of each measurement channel, or both, are calibrated to maximize measurement sensitivity. In some embodiments, optical measurement data is employed to more accurately locate the muscle activity measurement system with respect to the human body. In some embodiments, a muscle activity measurement system tracks changes in muscle structure over time.

The invention belongs to the technical field of medical electronic equipment, and particularly relates to a wireless surface electromyogram nerve conduction testing system which comprises a flexible wearable sensor module. A multi-mode signal processing module and a wireless transmission and edge calculation module; an intelligent analysis terminal; according to the wireless surface electromyogram nerve conduction test system, a wireless transmission mode is adopted, limitation of a cable to motion is avoided, motion artifacts caused by cable traction are reduced, acquired signals can reflect muscle activity and nerve conduction conditions more truly, the risk of missed diagnosis or misdiagnosis is reduced, and the test efficiency is improved. Secondly, high-precision synchronization of signals and effective noise reduction of the adaptive noise reduction unit are realized through hardware-level timestamps, useful electromyographic signals and nerve conduction signals can be more accurately separated and extracted, interference factors are eliminated, and doctors can more clearly analyze signal characteristics and accurately judge neuromuscular function states; and misjudgment caused by signal interference is avoided.

The embodiment of the invention provides a limb constant-speed motion control method and system based on surface myoelectricity triggering, and belongs to the technical field of constant-speed equipment. The method comprises the following steps: acquiring data of surface myoelectricity; calculating the strength of the electromyographic signals according to the surface electromyographic data to obtain analysis data of muscle activity; adjusting and driving the limbs according to the analysis data of the muscle activity and the data of the surface myoelectricity to obtain activity data; the training condition is analyzed according to the activity data, and limb constant-speed movement control information is obtained. Residual strength of muscles can be fully utilized to actively participate in exercise, and the requirements of users in different rehabilitation stages are met.

The invention relates to the technical field of physiological detection, and discloses a muscle activity detection method and device, computer equipment and a storage medium, and the method comprises the steps: collecting a target electromyographic signal; feature points in a first electromyographic signal segment and a second electromyographic signal segment in the target electromyographic signal are obtained, the duration of the first electromyographic signal segment is longer than that of the second electromyographic signal segment, and the end points of the first electromyographic signal segment and the second electromyographic signal segment are the same; and determining the activity state information of the target muscle based on the relationship between the feature points in the second electromyographic signal segment and the feature points in the first electromyographic signal segment. The accuracy of muscle activity detection can be effectively improved.

The invention discloses a movable muscle magnetic signal detection device, which comprises a magnetic shielding mechanism, an annular sensor array capable of scanning and moving, an arm positioning mechanism and a signal acquisition and processing system, and is characterized in that the magnetic shielding mechanism is used for shielding an environment magnetic field to form a near-zero magnetic measurement environment; the annular sensor array is used for surrounding an arm to collect multi-channel muscle magnetic signals generated by muscle movement, and the arm positioning mechanism is used for fixing the arm and determining a measurement position range. And the signal acquisition and processing system is used for synchronously acquiring a stimulation signal triggered by external stimulation, a multi-channel muscle magnetic signal from the annular sensor array and position information of the annular sensor array, and processing, tracing and positioning the multi-channel muscle magnetic signal. According to the device, miniaturization and mobility of muscle magnetic signal detection equipment are achieved, three-dimensional space distribution information of a muscle magnetic field can be obtained, the spatial resolution is remarkably improved, integrated analysis from signal detection to source positioning is achieved, and a reliable tool is provided for quantitative evaluation of neuromuscular functions.

A dilation probe to be inserted into the vagina, the dilation probe comprising a central probe body with at least one inflation / deflation opening therein, a dilation balloon mounted relative to the central probe body and sealed relative to the probe body to inflate and deflate via the at least one inflation / deflation opening, and at least one electromyography electrode provided relative to an external surface of the dilation balloon to capture muscle activity information during operation

The invention belongs to the technical field of correction intelligent control, and discloses an intelligent correction evaluation system and method for scoliosis, based on an intelligent multi-module sensor, a scoliosis intelligent correction system is built; based on a human body three-dimensional surface topography measurement technology, establishing an intelligent scoliosis evaluation system; based on an intelligent multi-module sensor and wearable ultrasonic image equipment, internal forms and activity characteristics of spine related muscles during spine correction are evaluated; and comprehensively analyzing a scoliosis correction mechanism by combining a scoliosis correction strategy, a scoliosis correction effect and related muscle activity characteristics of the spine, and determining an optimal biomechanical correction strategy. The external force is applied to the spine to control spine deformity, correction effects generated by different correction strategies are disclosed by analyzing a scoliosis correction mechanism, the conservative treatment effect of a scoliosis patient can be improved, and the device has great significance in improving the life quality of the patient, reducing the family economic burden and relieving the pressure of a medical system.

Method for visualizing multiple sensor signals derived via electrodes from a limb or amputation stump to detect muscle activity, comprising the following steps: • Each signal is assigned a display direction and a display amount • The display direction represents exactly one signal • The displayed value represents the intensity of motor activity of either the respective muscle or its nerve. • The direction and magnitude of all signals are simultaneously displayed in real time on a display device as a single graphical object. • On the display device, reference objects that were saved during previous analysis sessions are displayed simultaneously with the object. • Reference contractions are used as reference objects. • Simultaneously with the visualization, a prosthetic or orthotic device is controlled with the signals, whereby the reference objects are used to parameterize the prosthetic or orthotic control.