99 results about "Laryngeal part" patented technology

The invention discloses a bionic TENG sensor unit for an artificial throat and a preparation method thereof, and relates to the field of artificial throats, and the sensor unit comprises a gradient micro-dome friction layer, a strain amplification layer, an electrode layer and a back cavity substrate layer. The gradient micro-dome array realizes gradual contact through gradient change of height and diameter; the strain amplification layer converts vertical vibration into horizontal strain by using a cantilever beam-sliding block structure; the back cavity array selectively amplifies vibration at a specific frequency based on the Helmholtz resonance principle. The invention further provides a corresponding preparation method. The preparation method comprises the steps of back cavity forming, electrode deposition, microstructure manufacturing, surface treatment and the like. The sensor has the advantages of high sensitivity, good frequency selectivity and strong durability, and is particularly suitable for detecting weak laryngeal vibration signals of laryngeal patients.

The invention discloses an image segmentation method and system, and relates to the technical field of image segmentation. According to the image segmentation method, to-be-segmented laryngoscope medical image data is obtained and input into a pre-trained image segmentation model for preliminary segmentation processing, and a laryngoscope structure segmentation image is generated and comprises a plurality of laryngoscope segmentation areas and corresponding segmentation data sets; performing comprehensive analysis to obtain a structure segmentation perception index of each throat segmentation region, performing analysis to obtain a plurality of low-confidence throat regions, and inputting the low-confidence throat regions into an image restoration model in combination with a segmentation data set of a set annular adjacent throat segmentation region for analysis to obtain an enhanced segmentation data set of each enhanced throat region; according to the method, the laryngoscope structure segmentation image is updated through the enhanced segmentation data set of each enhanced laryngoscope region to obtain the structured laryngoscope tissue segmentation image, so that the enhanced regions have the consistency of pixel levels, and the segmentation precision and clinical availability are effectively guaranteed.

The invention discloses a portable swallowing function screening system based on multiple modes. The portable swallowing function screening system comprises a signal acquisition device, a data processing device and an interactive display device which are connected in sequence, the signal acquisition device is used for acquiring a laryngeal pressure signal, a laryngeal acoustic vibration signal and a swallowing acoustic wave signal of a patient; the data processing device is used for performing feature extraction and feature fusion according to the throat pressure signal, the throat sound vibration signal and the swallowing sound wave signal to obtain a multi-modal fusion feature, and calculating a swallowing disorder risk probability through a preset deep learning model according to the multi-modal fusion feature; the interactive display device is used for judging the swallowing function according to the swallowing disorder risk probability and displaying the screening result of the swallowing function according to the judgment result.

The invention provides an intelligent control method for a tongue pressure feedback training instrument, and the method comprises the steps: collecting tongue pressure peak data of a patient, a laryngeal electromyographic signal value of the tongue pressure feedback training instrument and a swallowing sound spectrum feature in real time, constructing a biological signal fusion data set containing time sequence information, and obtaining a biological signal time sequence distribution feature of the tongue pressure feedback training instrument; through the time window with the abnormally reduced pressure change rate, associating the frequency domain characteristic change of the swallowing sound spectrum obtained based on swallowing sound spectrum characteristic analysis, and obtaining the frequency band distribution information of sound abnormity; according to the frequency band distribution information of the abnormal sound, adjusting parameters needed by self-adaptive feedback of the tongue pressure feedback training instrument are calculated, and the adjusting amplitude of opening and closing of the air escape valve is obtained through a preset mapping relation; and inputting the deviation between the tongue pressure peak value and the target tongue pressure value and the adjustment amplitude of opening and closing of the air escape valve to a machine learning algorithm, and outputting a triggering optimization time point for guiding the patient to apply the target tongue pressure to a telescopic air bag of the tongue pressure feedback training instrument.

The application discloses a kind of swallowing disorder rehabilitation auxiliary scheme generation method and system, belong to medical rehabilitation intelligent evaluation technical field, to solve the problem of swallowing training path optimization difference;The present application collects myoelectricity, tongue pressure, laryngeal image and acoustic signal in the process of swallowing by multi-channel sensing device, constructs unified multi-modal swallowing behavior feature vector, realizes obstacle stage recognition and function grade discrimination in combination with pre-training model and historical data, and outputs structured evaluation result;Based on the training action of high matching degree of knowledge graph matching, the personalized training path is generated by fusing muscle group matching degree, edge weight and function grade factor, and the intensity, frequency and rhythm parameters are set;Real-time monitoring action and myoelectricity deviation in training process, output prompt signal and record behavior completion degree;According to feedback, dynamically update rehabilitation progress graph, if deviation is out of limit, then automatically reconstruct path and synchronize doctor intervention, thereby improve rehabilitation efficiency and safety.

The invention relates to the technical field of image enhancement, in particular to a throat structure and detail high-resolution image enhancement method based on deep learning. The method comprises the following steps: acquiring a low-resolution image of a laryngeal endoscope and corresponding laryngeal three-dimensional image data; the method comprises the following steps: extracting features from a low-resolution image based on a ResNet model, extracting features from three-dimensional image data by using a 3D-ResNet model, constructing a time-varying weight matrix modulated by a sine period in the 3D-ResNet model, so that the physiological motion state of the throat can be perceived in real time in an image enhancement process, and fusing the extracted features by using a cross-scale feature pyramid technology; and a U-Net + + model combined with a sub-pixel convolutional layer is utilized to carry out super-resolution reconstruction on the image subjected to feature fusion processing. According to the design, by introducing an anatomical attention module and a dynamic receptive field adjustment technology, the characteristics of clinical key areas (such as vocal cord free edges and anterior joint areas) can be enhanced in a targeted manner.

The invention relates to the technical field of biological recognition, in particular to a multi-scene-oriented dynamic voiceprint recognition updating method, which comprises the following steps: synchronously acquiring voice signals through a 16-channel MEMS microphone array and a throat three-axis acceleration sensor, and constructing a three-dimensional data set containing acoustic scene fingerprints, semantic contexts and emotional characteristics; extracting features by adopting a scene adaptive dual-mode processing architecture, and extracting semantic features and emotional state coding vectors to form a multi-dimensional feature set; based on the multi-dimensional feature set, calculating a matching degree by using a Gaussian mixture model, monitoring a scene mutation index, and triggering an online clustering reconstruction mechanism to optimize a feature weight; deploying a three-level pipeline architecture for real-time processing; and generating a scene adaptation factor according to the MFCC-PLP mixed feature matrix and the environmental parameters to perform multi-feature joint matching. According to the invention, the adaptability of voiceprint recognition in a complex scene can be improved.

The invention relates to the technical field of health monitoring, in particular to an infant suffocation risk autonomous monitoring method and system based on laryngeal breathing sound, and the method comprises the steps: collecting airflow and breathing sound signals of the throat of an infant through a high-sensitivity MEMS microphone, and synchronously monitoring thoracic motion data of the infant through a miniature accelerometer; performing noise reduction processing on the airflow and the breathing sound signal to obtain a denoised breathing sound signal; performing signal separation on the denoised breathing sound signals according to a breathing event, and enhancing and combining the denoised breathing sound signals into a breathing sound data set; extracting breath sound features from the breath sound data set, constructing a suffocation anomaly classification model based on the breath sound features through a machine learning model, and establishing a dynamic baseline model adapted to individual breath differences according to the breath sound features; hardware devices of a high-sensitivity MEMS microphone and a micro accelerometer are combined with an artificial intelligence model, and infant asphyxia risk identification and early warning are autonomously completed in a home environment by using laryngeal respiration sound signals.

The application discloses a vocal cord leukoplakia pathological detection method and system based on a laryngeal endoscope image, a device and a medium, and belongs to the field of data management. The method is as follows: inputting the acquired laryngeal endoscope image into a preset pathological semantic field model, performing feature extraction on the laryngeal endoscope image through the pathological semantic field model to obtain a feature map; performing coordinate mapping on coordinate points of the feature map through the pathological semantic field model, generating a pathological semantic vector corresponding to each coordinate point, and constructing a continuous pathological semantic field according to the pathological semantic vector; deploying a perception particle swarm in the feature image domain, and performing particle iterative motion according to the pathological semantic vector of the deployment position until a lesion contour is generated by meeting a convergence condition, and outputting a vocal cord leukoplakia pathological detection result according to the lesion contour. Therefore, by implementing the application, accurate detection of vocal cord leukoplakia pathology can be realized, and the accuracy and reliability of laryngeal precancerous lesion diagnosis can be improved.

The utility model relates to the technical field of medical instruments, and discloses an oxygen inhalation tube fixing mechanism for trachea surgery, which comprises a main body component, a fixing component and a fixing component, the main body component comprises a throat inlet tube and an oxygen supply tube, the oxygen supply tube is arranged at one end of the throat inlet tube, one end of the throat inlet tube is inserted into the trachea of a patient, and the other end of the oxygen supply tube is connected with oxygen supply equipment; the device is arranged on one side of the throat inlet pipe and comprises a clamping piece, the clamping piece comprises a cross-under ring, and two attaching blades are fixed to one side of the cross-under ring. By arranging the fixing assembly and using clamping and threaded connection modes, pressure cannot be caused to a laryngeal fistulization opening of a patient, unnecessary damage to the neck of the patient due to pressing and inserting errors between the throat inlet pipe and the oxygen supply pipe is avoided, and pain and discomfort of the patient are relieved.

This invention relates to the field of nursing technology for disabled individuals, and particularly to a method and device for identifying the risk of aspiration in disabled individuals. The method includes: establishing a multimodal, non-invasive data acquisition system to simultaneously collect temporal information on laryngeal vibration, respiratory status, and facial movements; preprocessing to extract effective signals; constructing an individual-specific physiological baseline model using historical normal physiological samples and binding it to the individual's identity; segmenting and processing real-time signals to construct a three-dimensional feature collaboration matrix, calculating mutual information entropy, and dynamically iterating the associated baseline; temporally aligning swallowing and respiratory abnormality anchor points, marking key intervals, and screening suspected risk events; and outputting the final aspiration risk identification result after environmental interference filtering, feature weight adaptation, and verification. This invention enables accurate, real-time identification and early warning of aspiration risk without requiring any wearable devices and without affecting the daily care and rest of disabled individuals.

The invention relates to an airway path planning method and device based on a throat CT image and computer equipment. The method comprises the following steps: acquiring a throat CT image; the throat CT image is preprocessed, the preprocessing includes unifying thickness parameters of the throat CT image, and data expansion processing is carried out on a target layer, including the glottis part, in the throat CT image with the consistent thickness parameters in a copying mode; inputting the preprocessed throat CT image into the trained three-dimensional segmentation model for three-dimensional segmentation to obtain a segmented airway three-dimensional structure; obtaining a path constraint condition according to the obstacle differentiation weights of different areas in the divided airway three-dimensional structure; layering treatment is carried out on the divided airway three-dimensional structure, and a multi-layer airway cross section is obtained; obtaining a center point sequence based on the center point coordinates of the cross sections of the multiple layers of airways; and obtaining an initial airway path corresponding to the throat CT image based on the target point in the airway, the center point sequence and the path constraint condition.

The present invention discloses a data processing method and system for multimodal facial motion point data and vocal cord motion data. The method includes providing text, collecting continuous facial images or videos and laryngeal vibration data of a normal person speaking, preprocessing the data, extracting temporal and spatial features, establishing a facial and neck motion model for Chinese pronunciation, and having a deaf-mute person imitate the pronunciation according to the model and obtain feedback. The system includes a depth camera, a laryngeal vibration sensor, and a microphone. By comprehensively utilizing multimodal data, it provides instant feedback to the deaf-mute, lowers the learning threshold, and improves communication efficiency. It is applicable to deaf-mute groups worldwide. This invention promotes speech vocalization training and has broad application prospects and social significance.

The embodiment of the invention discloses a laryngeal electromyographic signal interpretation method and system based on self-supervision joint coding prediction, a medium and equipment. The method comprises the steps that a laryngeal electromyographic signal data set and a corresponding instruction label are acquired; decomposing the signal into low-frequency and high-frequency components through wavelet transform; randomly generating a mask component for masking to obtain a visible group and a mask group; respectively extracting visible component features, target signal component features and mask vector features; performing joint coding on the mask vector feature and the visible component feature to obtain a target signal component prediction feature, and performing joint coding on the target signal component feature and the visible component feature to obtain a mask vector prediction feature; training a signal encoder based on the predicted and real features; combining the trained signal encoder with a classification module to construct an interpretation model and performing fine tuning training; the to-be-interpreted electromyographic signals are input into the fine-tuned signal interpretation model, a classification result is output, efficient feature learning is achieved through self-supervised joint coding prediction, and the generalization ability of the model is improved.

The application discloses a foldable intubation positioning auxiliary device for a pediatric anesthesia department, which comprises a bite plate in an arc shape, a tongue depressor is connected to the side wall of the bite plate through a rotary limiting device, the front end of the tongue depressor is arranged in a downward bending shape, a piezoelectric ceramic sheet is fixedly connected to the bottom side of the front end of the tongue depressor, an intubation opening is formed in the middle part of the bite plate and is arranged in a penetrating mode, a rotating wheel is rotatably connected to the intubation opening, a pressing block is connected to one side of the intubation opening through an elastic pressing device, and one side of the pressing block is close to the rotating wheel. The piezoelectric ceramic sheet is stimulated to vibrate at low intensity to stimulate the laryngeal muscles of a child during intubation by using a mild physical stimulation mode, the glottis is naturally opened, the precision, safety and convenience of intubation operation are improved, and the device is especially suitable for obese children patients with difficulty in glottis exposure.

A self-expanding implant for use as a vascular flow reducer is disclosed having a variable mesh angle to limit the amount of diameter variation of certain portions of the implant, such as an hourglass-shaped laryngeal section or central laryngeal inner diameter. Methods of making such implants are also described.

The invention aims to provide a cerebral apoplexy swallowing assessment and extubation decision-making system based on ultrasound and video stream fusion, and the system comprises an ultrasound image collection module which focuses on the dynamic movement of tongue muscles, throat muscles, tongue bones and throat lacuna; the video stream acquisition module is used for calculating facial expression, oral activity and throat form change characteristics by using a motion tracking algorithm; the analysis module is used for analyzing spatial characteristics of muscle movement; identifying time sequence characteristics of the swallowing action; the evaluation and decision module is used for generating a swallowing function evaluation report; and the user interface and report output module is used for outputting an automatically generated swallowing function evaluation report to a clinician. The swallowing function can be evaluated in real time, noninvasively and accurately through a multi-modal data fusion technology in combination with a deep learning algorithm, a more reliable swallowing function evaluation basis is provided for clinicians, and rehabilitation treatment and intervention of stroke patients are helped.

The utility model relates to the technical field of laryngoscopes, in particular to an angle-adjustable self-retaining laryngoscope which comprises a laryngoscope tube, silica gel strips are adhered to the top and the rear side of the laryngoscope tube, an elastic steel bar is fixedly connected to an inner cavity of each silica gel strip, and the left side of a mounting vertical plate at the top is connected with a miniature camera and provided with a mounting hole through bolts. When the adjusting screw is rotated anticlockwise, the adjusting screw moves leftwards, the connecting transverse plate on the surface of the adjusting screw moves leftwards, the traction ropes on the two sides move leftwards, the left side of the laryngoscope tube bends upwards under the action of the elastic steel bar, when the adjusting screw is rotated clockwise, the traction ropes are tensioned rightwards, and the left side of the laryngoscope tube bends downwards. Similarly, the left side of the laryngoscope tube can be bent forwards or backwards by rotating the adjusting screw rod on the rear side according to the operation, so that the laryngoscope tube can be bent and adjusted up and down and back and forth, the throat of a patient can be supported conveniently, and medical staff can watch the laryngoscope conveniently.

The invention discloses a self-adjusting laryngeal mask airway which comprises a mask body, an air bag assembly, a visual guide unit and a dynamic pressure control system, the shape of the mask body is arranged to conform to the laryngeal structure of the human body, the air bag assembly is arranged at the far end of the mask body, the visual guide unit is arranged at the far end of the mask body, and the dynamic pressure control system is arranged on the visual guide unit. The dynamic pressure control system is connected with the air bag assembly and used for providing video images of the throat in the implantation process, the dynamic pressure control system is connected with the air bag assembly and used for monitoring and adjusting the pressure of the air bag assembly in real time, and the dynamic pressure control system comprises a pressure sensor, an air pump, an electromagnetic valve and a control unit; the control unit is electrically connected with the pressure sensor, the air pump and the electromagnetic valve, and the control unit is used for receiving signals of the pressure sensor and controlling the air pump and the electromagnetic valve to adjust the pressure of the air bag assembly. According to the self-adjusting laryngeal mask airway, automatic adjustment and visual guiding are achieved, and the implantation success rate and safety are improved.

The application discloses a kind of bionic TENG sensor unit for artificial throat and preparation method thereof, it is related to artificial throat field, the sensor unit includes gradient microdome friction layer, strain amplification layer, electrode layer and back cavity substrate layer.Gradient microdome array realizes progressive contact by the gradient change of height diameter;Strain amplification layer utilizes cantilever beam-sliding block structure to convert vertical vibration into horizontal strain;Back cavity array is selectively amplified to specific frequency vibration based on Helmholtz resonance principle.The application also provides a corresponding preparation method, including back cavity forming, electrode deposition, microstructure manufacturing and surface treatment and the like steps.The sensor has the advantages of high sensitivity, good frequency selectivity and strong durability, and is particularly suitable for detecting weak laryngeal vibration signals of laryngeal patients.

The invention relates to the technical field of atomizer regulation and control, in particular to a laryngeal medicine atomizer and an intelligent flow rate regulation and control system thereof. The system is used for determining a basic breathing state of a patient according to historical treatment information of the patient, and determining an initial atomization flow rate based on the basic breathing state; collecting real-time monitoring data, and determining an initial state normal degree index and a throat real-time stress degree index according to the real-time monitoring data; the initial atomization flow velocity is corrected according to the initial state normal degree index and the throat real-time stress degree index, and the corrected atomization flow velocity is obtained; and a control instruction is determined based on the corrected atomization flow speed, so that the atomizer outputs atomized medicine based on the control instruction. According to the invention, the accuracy of atomization flow rate control can be improved.

A cricothyroidotomy device configured for use in emergency airway procedures by a responder-provider, the device comprising a structure configured to cover and secure over the laryngeal skeleton region; an accessible opening for intubation; lateral fixation arms with pre-loaded fastening means; an integrated cutting element; and a mechanism configured to maintain traction during the procedure. Further provided are methods of using the device and a kit comprising the device.

The application discloses a kind of intelligent warehouse distribution and compliance management system and method for chronic medication, belong to the field of wisdom medical technology.System includes cloud platform, intelligent warehouse terminal, modular intelligent medicine box, wearable device and unmanned distribution terminal.Method is: cloud is through LSTM-Transformer hybrid network prediction patient future probability of missing and position trajectory, dynamically triggers warehouse terminal according to single dose encapsulation sub-warehouse;Distribution engine assigns unmanned terminal to advance sub-warehouse to patient predicted stop point;Intelligent medicine box combines weighing difference, swallowing sound identification, laryngeal movement and other multi-modal signals to make decision fusion, confirm real medicine taking and feedback optimization model.The application realizes the active warehouse distribution driven by prediction and multi-modal medicine taking confirmation closed loop, fundamentally solves the problem of missing and false compliance caused by going out etc., with intelligent, individualization and self-evolution ability.

The utility model discloses a rotatably adjustable laryngeal anesthesia tube, which comprises a main body unit and a medicine spraying unit, the main body unit comprises an outer tube, one end of the outer tube is provided with a spray head, the medicine spraying unit comprises a positioning plate I and a positioning plate II, the positioning plate I and the positioning plate II are respectively fixed at two ends of the outer tube, a guide tube I is arranged in the outer tube, and a guide tube II is arranged in the guide tube II. The first guide pipe penetrates through the first positioning plate and the second positioning plate and is fixed to the first positioning plate and the second positioning plate, a second guide pipe is arranged in the outer pipe, the spray head is installed at one end of the second guide pipe, and the end, away from the spray head, of the second guide pipe is fixed and communicated with a third guide pipe. A pulling rod is moved to pull a rope body, the rope body drives a winding disc to rotate after being pulled, the winding disc drives a third guide pipe and a spray head to rotate when rotating, so that the angle of the spray head is adjusted, the spray head can accurately anesthetize the local throat, in the process, a coil spring can be tensioned when the third guide pipe rotates, and after the spray head finishes spraying medicine, the spray head can rotate to drive the winding disc to rotate. And the loosening deflector rod drives the nozzle to rotate to an initial position under the resilience force of the coil spring.

The utility model discloses a spraying device for airway surface anesthesia during tracheal intubation, which comprises a shell, a pump system, a power supply system and a control system, the pump system, the power supply system and the control system are assembled in the shell, and the pump system is electrically connected with the power supply system through the control system; the liquid outlet system is assembled on the shell; the liquid outlet system comprises a liquid outlet pipe and a liquid storage bottle which are assembled on the shell, and a spray head assembled at the front end of the liquid outlet pipe; the liquid outlet pipe is communicated with the liquid storage bottle through the pump system; the visual system comprises an imaging lens arranged at the front end of the liquid outlet pipe and a first optical fiber arranged in the liquid outlet pipe; a WiFi module used for being in communication connection with external equipment and an image sensor used for processing an optical signal into an electric signal are arranged in the control system; the imaging lens is connected with the image sensor through the first optical fiber and is used for realizing optical signal transmission. The laryngeal anesthesia device not only can improve the safety and effectiveness of laryngeal anesthesia, but also can improve the convenience of clinical operation.

The utility model relates to the technical field of medical supplies, in particular to an anaesthetic laryngoscope which comprises a handle and a laryngeal opening rod, the handle is connected to the tail end of the laryngeal opening rod and is perpendicular to the laryngeal opening rod, one end, far away from the handle, of the laryngeal opening rod is provided with an arc-shaped tilting head tilting towards one side of the handle, and one side, back to the handle, of the tilting head is provided with an installation groove. A mounting groove is formed in the throat rod, a micro camera is mounted in the mounting groove, a waterproof lens is sealed at a notch of the mounting groove, a display is mounted at one end, far away from the throat rod, of the handle, and the micro camera transmits video signals to the display; one side, opposite to the handle, of the throat opening rod and one side, opposite to the handle, of the warped head are provided with a coherent pipe groove, and the pipe groove is used for containing a medicine feeding pipe. The medicine feeding device is easy and convenient to operate and capable of relieving damage to the throat and achieving accurate medicine feeding.

The present application relates to a kind of multi-dimension lock regulating airway management training model, comprising: neck range of motion adjustment unit, neck range of motion adjustment unit is used to simulate the normal activity state and activity limited state of neck;Tongue body swelling simulation unit, tongue body swelling simulation unit is used to simulate the natural state and different degrees of swelling state of tongue body;Glottic area stenosis simulation unit, glottic area stenosis simulation unit is used to simulate the natural open state and different degrees of stenosis state of glottic area;Multi-dimension lock regulating airway management training model is configured to: by independently adjusting neck range of motion adjustment unit, tongue body swelling simulation unit and glottic area stenosis simulation unit, the laryngeal view of model is presented as a plurality of preset states corresponding to different levels of difficult airway.The present application can simulate different levels of difficult airway scene, accurately restore the difficult airway caused by single factor or multi-factor superposition in clinic.

The utility model discloses a visual soft laryngoscope capable of preventing a machine body from being polluted. The visual soft laryngoscope comprises a laryngoscope body, a display screen is arranged at the top end of the laryngoscope body, an installation block is arranged on one side of the laryngoscope body, an insertion part is connected to the bottom of the laryngoscope body, an insertion head is arranged at the end of the insertion part, and an anti-pollution shooting mechanism is arranged on the insertion head. According to the visual soft laryngoscope capable of avoiding body pollution, during throat examination, the insertion part and the insertion head extend into the throat of a patient, the camera shooting device can shoot the throat, if pollutants such as secretions and blood in an oropharyngeal cavity are attached to the surface of the camera shooting device, shooting sight lines can be blocked, and due to the fact that the suction tube is arranged, the camera shooting device can be used for shooting the throat of the patient. The suction pipe can suck pollutants at the front end of the camera device, the liquid injection pipe injects cleaning liquid into the inner ring and sprays the cleaning liquid out of the nozzle, the cleaning liquid rushes to the mirror surface of the camera device to clean the surface, meanwhile, the cleaning liquid cooperates with the suction pipe to work, the surface of the camera device is kept clean, and clear shooting sight is guaranteed.

Electrode plates are used for detecting electromyographic signals of laryngeal muscles when a patient sounds, a plurality of groups of laryngeal muscle guiding devices drive the corresponding laryngeal muscles according to changes of the electromyographic signals of the laryngeal muscles and by means of precise traction of a micro servo motor, and the corresponding laryngeal muscles are driven by the laryngeal muscle guiding devices according to the preset stroke distance, frequency and speed. And stretching and contracting laryngeal muscle elastic relieving movement is performed to form linkage of electromyographic signal acquisition, laryngeal muscle feedback and re-acquisition. Meanwhile, a flow channel made of a heat conduction material is arranged at the position of the massage head in a matched mode, corresponding laryngeal muscles are stimulated through temperature changes of circulating liquid, the patient is guided to feel different state changes of the laryngeal muscles during sounding, the sounding changes caused by the changes are clearly recognized, and therefore new laryngeal muscle memory is formed.

The invention discloses a monitoring and evaluating system and method for postoperative recurrent laryngeal nerve function damage and recovery, and relates to the technical field of laryngeal nerve function evaluation. According to the method, a patient preoperative individualized neuromuscular vibration fingerprint baseline is constructed, postoperative neck muscle sound signals are converted into multi-dimensional computable features reflecting nerve discharge rhythm, muscle mechanics modality and nerve-muscle conduction coupling relation, and structural comparison is carried out under the reference of consubstantial stable topology; the recurrent laryngeal nerve function state is converted from subjective observation to objective quantification, the stability keeping degree of a neural control structure can be dynamically tracked under the non-invasive and continuous wearing conditions, neurogenic abnormality, myogenic change and normal function recovery trends are distinguished, and the recurrent laryngeal nerve function state can be accurately determined. The influence of individual anatomical differences, sound production habits and environmental noise on the evaluation result is remarkably reduced, and the sensitivity, repeatability and long-term trend judgment capability of postoperative function monitoring are improved.