31 results about "Muscle tone" patented technology

The invention relates to the technical field of muscle tension non-invasive detection, in particular to a muscle tension detection method, system and device, and the method comprises the steps: obtaining a muscle surface micro-vibration signal through a millimeter wave radar array, generating a time-frequency diagram, extracting characteristic parameters such as a main vibration frequency amplitude, fusing the characteristic values, and outputting a preliminary grade through a pre-training model; the method combines a Hill muscle model to verify deviation, and if the deviation exceeds the limit, reconstructs a muscle three-dimensional model based on a CT image, calculates a radar wave attenuation coefficient for compensation, and outputs a final grade, thereby solving the problems of insufficient traditional detection precision and poor individual difference adaptability, improving the precision and individuation of muscle tension detection, and providing a reliable basis for clinical diagnosis.

The invention relates to the field of neurological rehabilitation medicine teaching instruments, in particular to a device and a system for simulating abnormal muscular tension of a human body, comprising a main body, partitions and a fourth driving device arranged in the main body, the device comprises a main body, a partition arranged in the main body, a first driving device arranged in the partition, a second driving device arranged in the partition and a third driving device arranged in the partition, and the main body and the partition are connected and used for simulating the upper body and arms of a human body. The first driving device, the second driving device, the third driving device and the fourth driving device are sequentially and rotatably connected, so that the problem that an existing human body muscle tension testing device still cannot meet the training requirement of dynamic muscle tension characteristics in the actual use process is solved; and a measured value is higher than a true value due to the fact that the movement of the component is not supported by the auxiliary support during detection.

The invention relates to the technical field of medical instruments, in particular to a limb restraint strap self-adaptive pressure adjusting device and method.The limb restraint strap self-adaptive pressure adjusting device comprises a pressure sensing unit, a multi-stage pressure sensor detects the pressure value between a limb of a patient and a restraint strap and generates a pressure signal, and a pressure signal processing module filters the pressure signal and identifies the activity state of the patient; the pressure data processing module performs multi-window pressure analysis based on the processed pressure data, identifies a pressure change trend, predicts a pressure change and generates a prediction result, and the adaptive threshold adjustment module dynamically adjusts a pressure threshold based on patient activity intensity, constraint duration and muscle tension. And the decision control module generates a pressure adjustment control instruction based on the prediction result and the adjusted pressure threshold value, and the pressure adjustment execution module comprises an air bag, an inflation device and an exhaust device and achieves dynamic adjustment of the tightness of the restraint strap.

This specification provides a wearable device and a method for dynamically measuring muscle tone. The wearable device includes a wristband, a lower housing, an upper housing, a display screen, an electromyography (EMG) sensor, a body temperature sensor, and a humidity sensor. The upper and lower housings cooperate to form a cavity for accommodating a battery and control components. The battery is electrically connected to the control components. The EMG sensor collects the wearer's EMG data, the body temperature sensor collects the wearer's body temperature data, and the humidity sensor collects the wearer's humidity data. The control components include an MPU6050 chip and a main chip. The MPU6050 chip determines the wearer's current movement state, and the main chip determines the wearer's muscle tone level in the current movement state based on the wearer's EMG data, body temperature data, humidity data, and current movement state. This solution addresses the technical problem that current wearable devices cannot measure muscle tone when the human body is in motion.

A device (103) for applying an electrical stimulation to one or more muscles of the mouth of the user, the device (103) includes one or more electrodes (132, 133) for applying electrical stimulation to one or more muscles of the mouth of a user and a sensor (140a, 140b, 141a, 141b) for determining the muscle tone of the tongue of the user. Also disclosed are methods and systems for determining a stimulation plan.

The application discloses a muscle tension rating and abnormal muscle dynamic positioning system and method, and the muscle tension rating and abnormal muscle dynamic positioning system comprises an information acquisition module, an information processing module and a man-machine interaction module, the information acquisition module is used for collecting personal information and surface electromyogram signals of a detected person, the information processing module is used for muscle tension rating, determination of abnormal movement types and positioning of abnormal muscles, the man-machine interaction module is used for information management, evaluation result display, supervision and tracking and input of diagnosis information, and the like. The application can automatically identify muscle coupling abnormalities of a patient in various movement states, analyze internal muscle factors causing movement symptoms of the patient, evaluate a muscle tension disorder level of the patient and assist in positioning of abnormal muscles.

The lower limb muscle tension detection device comprises an elastic bridle, a mounting box, a transmission plug and a data acquisition mechanism, the data acquisition mechanism comprises a winding drum, a winding mechanism, a data line, an electrode patch, a normally open button, an indicator light, a battery pack and a main control unit, and the elastic bridle can be suitable for being fixed by patients with different figures. The electrode patches can be pasted on the lower limbs of a patient, the electrode patches can collect myoelectricity data in the moving process of the patient and transmit the myoelectricity data to the main control unit to be stored, and after collection is completed, the transmission plug can be connected with an electromyography machine to transmit the data to judge muscle tension. By adopting the split type structure, a patient can freely move and complete specified actions conveniently, and during detection, if the electrode patch part falls off, the normally open button is recovered to be in an open state, and the indicator lamp loses electric energy and darkens to prompt medical personnel or the patient, so that the treatment is facilitated in time, and incorrect myoelectricity data is prevented from being collected.

The application discloses a method and equipment for extracting muscle tension related electromyographic signals, and belongs to the field of health and sanitation. The method comprises the following steps: constructing a human body muscle force confrontation mode between a detector and a reference person; collecting first confrontation mode characteristic data and a first electromyographic signal of the detector in the human body muscle force confrontation mode, and collecting second confrontation mode characteristic data and a second electromyographic signal of the reference person; constructing a muscle tension related electromyographic signal correction model based on the second confrontation mode characteristic data and the second electromyographic signal; inputting the first confrontation mode characteristic data into the muscle tension related electromyographic signal correction model, and calculating a theoretical value of the electromyographic signal of the detector; and extracting a muscle tension related electromyographic signal characteristic of the detector according to the difference between the first electromyographic signal and the theoretical value of the electromyographic signal. The application provides a numerical index for the muscle tension state.

Detection of fast eye movement (REM) sleep and associated abnormalities is important for identifying various nervous system diseases. The present disclosure relates to the detection of time intervals during which a subject is in REM sleep by utilizing electroencephalogram (EEG) data from selective spectral frequencies. The techniques as disclosed herein may use one or more EEG electrodes, and more particularly, single channel EEG signals provide a simple and cost-effective solution. The disclosed techniques may pre-process the EEG data, extract features and / or derived features for one or more time intervals from selective spectral bands (e.g., delta and gamma). These extracted features may be normalized and clustered to further determine REM, non-REM, and waking time intervals. By using one or more non-EEG sensors to detect the presence of muscular tension of the identified REM sleep intervals, and by performing sleep pattern analysis, potential REM intervals can be verified to detect REM behavioral disorders.

A muscle tension evaluation device includes a pedal, a front force sensor arranged at a front end of the pedal, a rear force sensor arranged at a rear end of the pedal, and a judgment unit connected to the front and rear force sensors. The judgment unit obtains a front force standard deviation, a rear force standard deviation, a front force deviation, and a rear force deviation from sensing results. A first threshold value and a second threshold value are obtained from the front and rear force standard deviations. The front and rear force standard deviations are standard deviations of front and rear force signals in a first time interval. The front and rear force deviations represent degrees of deviation of the front and rear force signals in a second time interval relative to the first time interval. When the front force deviation is greater than the first threshold value and the rear force deviation is greater than the second threshold value, it indicates that the muscle is in a high tension state. In addition, the present application also provides a muscle tension evaluation method.

The invention relates to the technical field of medical nursing, in particular to a traditional Chinese medicine and western medicine combined nursing intervention method and system for gynecological chronic pelvic pain, and the method comprises the following steps: generating pelvic blood stasis blocking sign data based on pelvic microcirculation and muscular tension, tracking a pain point transfer path, and dividing a transfer path to obtain a channel-following targeted link set; calling the targeted link set to analyze the cooperative relationship to generate an osmotic drug delivery configuration table, and extracting the effusion absorption rate according to the configuration table to establish an intervention association evaluation data set. In the invention, the pelvic ischemia state is analyzed to construct a blood stasis index, track a pain point transfer path and divide a targeted transfer route of a target, the deep targeted permeability of local tissues is strengthened, the administration period is solved to optimize electrochemistry and channel warming and cold expelling mechanisms, the deep focus transdermal driving force is enhanced, and the pain-inducing factor metabolic rate is increased; the retention time of hydrops is reduced, the painless duration of a patient is prolonged, and the comprehensive nursing and rehabilitation quality of the gynecological chronic pelvic pain is comprehensively improved.

The present invention relates to the technical field of non-invasive muscle tension detection. Specifically, the present invention relates to a muscle tension detection method, system and device. The method acquires muscle surface micro-vibration signals through a millimeter-wave radar array and generates a time-frequency diagram. Feature parameters such as the main vibration frequency amplitude are extracted. The feature values ​​are fused and output through a pre-trained model to obtain a preliminary grade. The deviation is verified by combining with a Hill muscle model. If the deviation exceeds the limit, a three-dimensional muscle model is reconstructed based on CT images, and the radar wave attenuation coefficient is calculated for compensation. The final grade is output. The method solves the problems of insufficient accuracy and poor adaptability of traditional detection to individual differences, improves the accuracy and personalization of muscle tension detection, and provides a reliable basis for clinical diagnosis.

This application proposes a monitoring device for abnormal muscle tone in renal osteodystrophy, comprising: an execution module for actively following or passively tractioning the limb under test to complete joint movements; a six-dimensional sensing module for real-time acquisition of raw signals from the limb under test during joint movements; a main control module for closed-loop control of the execution parameters of the execution module; and a data processing module for extracting effective signals reflecting the patient's true muscle tone, performing pathological feature extraction and quantitative calculation, and outputting muscle tone assessment indicators. This application acquires three-dimensional force and torque signals during limb movements in patients with renal osteodystrophy using a six-dimensional force / torque sensor. Combined with dynamic gravity compensation and multi-dimensional data processing, it separates the influence of confounding factors such as edema and malnutrition on total resistance, achieving non-invasive, objective, and accurate quantitative monitoring of muscle tone in patients with renal osteodystrophy. This effectively solves the problems of strong subjectivity in traditional assessments, poor adaptability of existing technologies, and inability to eliminate interfering factors.

The present invention relates to a shoulder massage method based on a shoulder height adjustment algorithm, a system, and a device. The method comprises: S1: acquiring an initial shoulder height of a user; S2: calculating a massage strength of a second massage apparatus according to body parameters of the user, the body parameters comprising a height, a weight, a skeletal muscle mass, a body pressure distribution index, and a muscle tone index; S3: controlling the second massage apparatus to move to the initial shoulder height to start massage, and cyclically collecting a real-time massage shoulder height of the user according to a preset interval by means of an infrared emitter-receiver pair of the second massage apparatus; and S4: acquiring a control signal of movement of the second massage apparatus using a shoulder height adjustment algorithm according to the massage shoulder height, and dynamically adjusting a position of the second massage apparatus on the basis of the control signal.

A muscle tone assessment device includes a pedal, a front force sensor and a back force sensor arranged at the pedal, and a controller connected to the sensors. The controller obtains a front force standard deviation, a back force standard deviation, a front force deviation and a back force deviation from the sensing results, and obtains a first and a second threshold value from the front force standard deviation and the back force standard deviation. The front force standard deviation and the back force standard deviation are the standard deviations of the front force signal and the back force signal within a first time interval. The front force deviation and the back force deviation represent the deviation of the front force signal and the back force signal in a second time interval. In addition, the present invention further provides a muscle tone assessment method.

The present application relates to oral muscle training. A device (1) for transmucosal neuromuscular electrical stimulation comprises a mouthpiece (3, 103), electrodes (32a, 33a, 132a, 133a) associated with the mouthpiece (3, 103). The device (1) and / or the mouthpiece (3, 103) comprises circuitry operably connecting the electrodes (32a, 33a, 132a, 133a) to a power source, and the device and / or mouthpiece is configured to provide, in use, electrical stimulation to one or more palatal and / or lingual muscles via the electrodes (32a, 33a, 132a, 133a) through the oral mucosa. A treatment regimen comprising the site of stimulation and parameters of use is designed to increase resting muscle tone and / or muscle tone during sleep.

The invention provides a muscular tension quantitative measurement system and method, and relates to the technical field of medical image measurement, and the method comprises the steps: building a muscle nonlinear anisotropic model, collecting 360-degree total scattering ultrasonic signals of measured muscular tissue, extracting sound signal amplitude variation caused by muscular tension change in the ultrasonic signals, and calculating the muscular tension according to the sound signal amplitude variation. Estimating spatial distribution of muscle tension according to the acoustic signal amplitude variation, and generating a tension distribution diagram of the measured muscle tissue according to the spatial distribution. The system comprises an ultrasonic excitation and acquisition system, an image reconstruction system, a data processing system and a display system. According to the invention, by establishing a physical model which better accords with muscle tissue characteristics and combining with all-directional ultrasonic signal acquisition, quantitative measurement and visual display of muscle tension are realized, the tension of a single muscle can be accurately quantified, the cooperative cooperation relationship between muscle groups can be systematically deconstructed, and the muscle tension can be accurately measured and visually displayed. And an important basis is provided for clinical medical diagnosis and rehabilitation treatment.

Detecting rapid eye movement (REM) sleep and associated abnormalities can be significant for identifying various neurological disorders. The present disclosure relates to detection of time intervals during which a subject is in REM sleep by leveraging encephalography (EEG) data from selective spectral frequencies. The techniques, as disclosed herein, may use one or more EEG electrodes, more specifically, a single-channel EEG signal offering a simple and a cost effective solution. The disclosed technique may preprocess this EEG data, extract features and / or derived features for one or more time intervals from selective spectral bands e.g., Delta and Gamma. These extracted features may be normalized and clustered to further determine REM, non-REM, and awake time intervals. By leveraging one or more non-EEG sensors to detect presence of muscle tones for the identified REM sleep intervals and by performing sleep pattern analysis, potential REM intervals may be validated for detection of REM behavior disorder.

The invention provides an intelligent anesthesia resuscitation monitoring mattress, and relates to the technical field of medical monitoring. The system comprises a mattress body provided with a two-dimensional high-resolution flexible pressure sensing array, a data acquisition module, a posture recognition and complementation module, a recovery judgment module based on a clinical physiological model, and an alarm and communication module. The system can collect body pressure distribution of a patient at any body position in real time, automatically reconstruct a complete body posture graph, perform time sequence analysis in combination with resuscitation characteristics such as muscular tension recovery, reflective movement and body position change, output a resuscitation score RRI, judge a resuscitation state and automatically give an alarm. According to the method, non-intrusive, continuous and intelligent monitoring of the resuscitation state of the anesthetic patient is achieved, and the monitoring efficiency and the resuscitation safety are improved.

A device (100) for training oral muscle tone, the device (100) includes a mouthpiece (103) having a first and second arm (131) diverging away from one another and each carrying at least one electrode means (132a, 132b, 133a, 133b), at least one of the at least one electrode means protruding proud of adjacent portions of the arms (131), electrical circuitry operatively connected to the electrode means (132a, 132b, 133a, 133b), at least one of the at least one electrode means comprising an electrically conductive polymeric or plastics material.

This invention provides a force feedback device and method for muscle tension assessment. The device includes a support mechanism, a stiffness adjustment mechanism, a torque output mechanism, an electro-adsorption device, a sensor unit, a control processing unit, and a power module. Force sensing in the force feedback device is achieved using an elastic element. A specially designed variable stiffness mechanism can change the effective lever arm length between the elastic element and the output point, thereby achieving controllable stiffness. The feedback force can be calculated by measuring the deformation of the elastic element under load. The stiffness felt by the user during trigger pressing is controllable, providing higher quality stiffness and force feedback. Furthermore, the characteristics of the spring also enhance the safety of the force feedback device. The on / off state of the designed electro-adsorption device controls the switching on and off of the device's force feedback interaction function.

The present invention relates to an orthosis specifically designed to provide support to the lateral ligaments of the knee, both medial and lateral. The orthosis comprises an upper segment (1) and two lower segments (2, 3) (one vertical (2) and one horizontal (3)), connected by a hinge (4). This configuration allows for a compact design that offers stability and flexibility to the joint, while integrating sensors that enable monitoring of functional knee parameters such as muscle tone, load distribution, temperature, muscle electrical activity, and mobility.

This invention discloses a method and system for assessing muscle rigidity based on recursive graphs and width learning, belonging to the field of machine learning technology, to solve the problem of inaccurate classification of input muscle tone signals by existing models. The key technical points of this invention include: collecting time-series muscle tone signals from different individuals and preprocessing the signals; constructing a recursive graph using the preprocessed signals; extracting quantized features based on the recursive graph corresponding to the time-series muscle tone signals from different individuals; inputting the quantized features into a width-learning-based classification model for training to obtain a trained model; extracting the quantized features corresponding to the time-series muscle tone signal to be tested and inputting them into the trained model to obtain a muscle rigidity prediction result. This invention achieves time-series visualization while acquiring muscle tone features with significant discriminative power, meeting the requirements for accuracy and efficiency in muscle rigidity assessment.

The present invention relates to a specialized reusable therapeutic tool which aims at the convergence and strengthening of the lips of individuals who present reduced muscle tone, paresis or ptosis of the upper and lower lips, as well as at the correct production of lip phonemes ( / m / , / p / , / mp / ). Additionally, it contributes to the control of salivation as well as to a safer feeding process (Figure 1, Figure 2). Said tool consists of the body itself (Figure 1, A, Figure 2, A) and five different sets of circular silicone plates (Figure 1, A, B, C, D, E, Figure 2, A, B, C, D, E). Each set includes two pieces (Figure 1, Figure 2). All plates are three centimeters in diameter and have a notch in their center (Figure 1, A, a, B, b, C, c, D, d, E, e) so that they can be more easily adjusted to the tongue depressor. These sets are differentiated according to their weight, thus, creating five different levels of difficulty.

A device (103) for applying an electrical stimulation to one or more muscles of the mouth of the user, the device (103) includes one or more electrodes (132, 133) for applying electrical stimulation to one or more muscles of the mouth of a user and a sensor (140a, 140b, 141a, 141b) for determining the muscle tone of the tongue of the user. Also disclosed are methods and systems for determining a stimulation plan.

1. Name of the design product: muscle tension testing device. 2. Use of the design product: for testing the muscle tension of the arm. 3. Design points of the design product: in shape. 4. Picture or photo best indicating the design points: perspective view 1.

[Problem] To provide an information processing system with which it is possible to quantitatively and accurately predict adaptability to a bruxism management method and indicate an application range of a management method suitable for a target person. [Solution] The present invention comprises: a storage unit 31 for storing adaptability to a bruxism management method as an objective variable; a storage unit 32 for storing information pertaining to adaptability to pain, information related to intra-oral reflection, information related to cognitive behavior, information pertaining to concentration power, information pertaining to muscle tone, medical interview information, quality of sleep, past history, or numerical data pertaining to bruxism as explanatory variables; a processing unit 21 for distributing the objective variable and the explanatory variables to training data and verification data and storing said pieces of data; a processing unit 22 for constructing an adaptability prediction model using the objective variable and the explanatory variables through a machine learning method, and evaluating and reconstructing the prediction model using the objective variable and explanatory variables of the verification data; and a processing unit 23 for outputting the predicted adaptability.

The present invention provides a method and apparatus for treating a subject suffering from obstructive sleep apnea (OSA). In one embodiment, the method of the present invention is configured to deliver negative airway pressure to a subject's airway to strengthen the airway muscle tone.

The invention belongs to the technical field of biology, and particularly relates to a recombinant botulinum toxin A chimeric protein and application thereof. The recombinant A-type botulinum toxin chimeric protein is constructed by replacing only a C-terminal receptor binding domain or a whole receptor binding domain in a receptor structural domain on the basis of wild-type BoNT / A. The recombinant botulinum toxin A chimeric protein has substrate cleavage activity equivalent to that of wild toxin in vitro, can be effectively taken in Neuro-2a nerve cells and realize substrate cleavage, shows a significantly reduced toxicity level in animal bodies, and has a good application prospect. Wherein the AAAF chimeric protein has the characteristics of rapid effect taking and short action time, and is suitable for situations requiring short-term intervention of neural activity, such as short-term muscular tension regulation or local injection treatment; the AAFF chimeric protein has relatively long neuromuscular blocking duration and relatively high safety, and is suitable for long-term treatment of chronic nervous system diseases.

A trans mucosal neuromuscular electrical stimulation device including a mouthpiece, electrodes associated with the mouthpiece. The device and / or mouthpiece incorporates electrical circuitry operatively connecting to the electrodes to a power source and is configured to provide, in use, electrical stimulation to one or more palate and / or tongue muscles via the electrodes through the oral mucosa. The treatment regime, including the location of stimulation and the parameters used, is designed to increase resting muscle tone and / or muscle tone during sleep.