127 results about "Auscultation" patented technology

The present invention discloses an intelligent respiratory support and airway clearance auxiliary system, method, device and storage medium, which relates to the field of medical data processing technology. The data acquisition module is used to obtain real-time parameter data; the respiratory analysis unit analyzes the blood oxygen saturation, oxygen partial pressure and carbon dioxide partial pressure data; the lung image data analysis unit intelligently analyzes the lung auscultation image data to identify the lung sputum blockage; the ventilator waveform analysis unit identifies abnormal waveform data based on the waveform data of the ventilator; the airway clearance module is used to determine whether it is necessary to start the Ilohen expectoration breathing mode according to the intelligent analysis results. The present invention uses advanced data processing technology and algorithms to monitor the patient's breathing in real time, and promptly discover and deal with airway problems. Through systematic data collection and analysis, the efficiency and accuracy of airway clearance are improved, the patient's treatment effect is improved, and the patient can actively expectorate while using a ventilator.

The present application relates to a fan fault detection method and system based on AI auscultation, and a fan safety system, which collects a third sound signal during the operation of the fan blades, performs digital-to-analog conversion and noise reduction processing on the third sound signal to obtain a sound signal C, extracts the actual features of the sound signal C, and compares them with the standard features to calculate the first similarity; when the first similarity is less than or equal to the first preset value, the actual features are compared with any one of the fault feature sets, and the second similarity is calculated respectively, the second similarity is arranged in descending order, and the first M fault features corresponding to the second similarity are taken to obtain the corresponding fault type or a combination of M fault types; after detecting a fault, an alarm is sounded and fault diagnosis advice and maintenance plans are provided. The above scheme can use AI auscultation combined with deep learning technology to extract and compare acoustic features of the real-time collected working noise to detect whether the blades are faulty in real time.

The invention discloses a breath sound electronic auscultation signal identification method based on multi-mode and deep learning, and relates to the technical field of deep learning and multi-mode learning. Firstly, audio data related to breathing sound classification and text description corresponding to the audio data are obtained; preprocessing the audio data, including de-noising and feature extraction; thirdly, matching an audio sample with the generated text description through a comparative learning method so as to optimize the representation capability of the model; evaluating and verifying the trained model, and performing label prediction on an audio sample by using a classification head; and finally, combining the metadata with the audio features by adopting a multi-modal fusion method, and carrying out classification prediction through a reasoning stage. On the basis of focusing on the classification accuracy of the model, the multi-modal input effect of the model is focused at the same time, the robustness of the model is improved by integrating the metadata, and whether the model can still keep good classification performance or not under the condition that part of the metadata is missing is verified. In addition, the method also reveals the importance of different metadata on the model prediction result and the interaction relationship of the different metadata. In conclusion, the invention can provide reliable support for clinical application.

The invention provides a heart sound classification method based on sample amplification and a noise attention network, which relates to the technical field of medical signal processing and artificial intelligence and comprises four steps of data set construction, data processing, heart sound classification model construction and classification result output. Noise outside the heart sound frequency range is filtered out through a band-pass filter and then input into a generative adversarial network to generate heart sound data, then a channel and space attention mechanism is introduced to facilitate extraction of meaningful features by a model, the model is enabled to converge more quickly, and then Gaussian noise with proper standard deviation is injected to obtain heart sound data. The robustness and generalization ability of the noise attention network with the channel and space attention mechanism are improved; along with gradual convergence of training, indexes such as accuracy, specificity and precision of the output cardiovascular disease types gradually tend to be stable, so that auxiliary diagnosis is provided during heart sound auscultation, the cardiovascular disease types are output, and a reliable basis is provided for heart sound auscultation results.

The invention discloses a variable step size self-adaptive noise reduction algorithm and device for auscultation, a medium and equipment. According to the algorithm, the states of friction, separation, re-auscultation and the like are set according to the conditions that the stethoscope moves on the body surface or leaves the body surface; in the auscultation process, the state of the stethoscope is judged online, and whether the weight of the adaptive filter is updated or not is determined according to the state of the stethoscope; in a normal auscultation state, a robust normalized least mean square algorithm is adopted to adaptively update the weight of the filter. According to the use characteristics of the stethoscope and the influence of factors such as friction sound on the environment sound noise reduction effect, the step length of weight updating of the self-adaptive filter is changed in a targeted mode, the convergence speed can be increased, steady-state weight imbalance is reduced, and therefore the good environment sound noise reduction effect is achieved.

The application discloses a diagnosis data processing method and device and a storage medium, relates to the technical field of data processing, and comprises the following steps: acquiring a heart-lung auscultation sound signal collected by a collection device and a traditional Chinese medicine (TCM) diagnosis standard description received based on an interactive interface; determining a western medicine quantitative diagnosis index according to the heart-lung auscultation sound signal, and correlating a TCM syndrome differentiation type according to the TCM diagnosis standard description and the western medicine quantitative diagnosis index; and generating and outputting a TCM medication recommendation scheme corresponding to a diagnosis result according to the western medicine quantitative diagnosis index and / or the TCM syndrome differentiation type. The application provides strong objective evidence and quantitative reference by differentiating the TCM syndrome differentiation type according to the auscultation sound. When diagnosing and treating diseases, the TCM highly depends on and integrates the auscultation result, and takes the auscultation result as one of key bases for differentiation, prescription selection, treatment effect evaluation and prognosis.

The present invention provides a device (100) and method for measuring and / or monitoring auscultation and other biomedical signals of a body part of a subject, the device (100) comprising: a plurality of sonographic sensors sensitive to surface vibrations-PG sensors (110) configured to measure acoustic activity of the body part, and providing a PG signal (115) indicative of acoustic activity of the body part, the PG sensor (110) being adapted to be arranged on the body part to cover different independent auscultation areas of the body part. The device further comprises at least one other biomedical sensor-BIO sensor (120) configured to independently measure a respective activity of the body part according to the sensor type and to provide at least one BIO signal (125) indicative of the respective activity of the body part. The device further comprises a signal processing unit (160) configured to acquire a signal (115, 125) from each sensor (110, 120) and to collectively perform a signal source specific analysis by combining information of the PG signal (115) with corresponding arrangement information of the PG sensor (110) on the body part and information of the BIO signal (125).

The utility model relates to the technical field of medical instruments, and discloses an adjustable stethoscope which comprises an elastic plate, the two ends of the elastic plate are fixedly connected with mounting cylinders, the two mounting cylinders are arranged in a V shape, one end of each mounting cylinder is fixedly connected with a fixing block, a cavity is formed in each fixing block, and the fixing blocks are fixedly connected with the mounting cylinders. The inner side wall of the cavity is in sliding connection with a pressing rod. According to the adjustable stethoscope, through the arrangement of the mounting cylinder, the pressing rod, the spring, the connecting block, the clamping block and the ear hooks, when the distance between earplugs on the two ear hooks is adjusted, a pressing plate is firstly pressed to drive the pressing rod to move, meanwhile, the spring is compressed to drive the clamping block to move through the connecting block, the pressure of the clamping block on the ear hooks is reduced, and the clamping block is far away from the ear hooks; then the ear hooks can be pulled, under the action of the mounting cylinders, the relative distance between the earplugs on the two ear hooks is changed, the stethoscope can better adapt to the head of each user, and therefore the auscultation comfort level and the sound conduction effect are improved.

1. The name of the design product: pulse pulse sound intelligent auscultation instrument. 2. The use of the design product: an auscultation instrument for detecting pulse and pulse sound respectively or simultaneously and obtaining corresponding pulse data information and pulse sound data information. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: combined state reference drawing. 5. The bottom of the design product is the part that is not easy to see or cannot be seen during use, so the component 1 top view is omitted; the component 2 right view is symmetrical with the component 2 left view, so the component 2 right view is omitted; the component 3 right view is symmetrical with the component 3 left view, so the component 3 right view is omitted.

The utility model discloses an efficient abnormal sound monitoring device for a belt conveyor, which comprises an auscultation optical fiber, and connecting pieces are inserted into two sides of the surface of the auscultation optical fiber. According to the efficient abnormal sound monitoring device for the belt conveyor, through the arrangement of the positioning mechanism, the connecting piece and the auscultation probes, when the device is used, auscultation optical fibers are installed in the connecting piece, then the connecting piece is installed on the surface of an external conveyor, and the auscultation probes installed on the surfaces of the auscultation optical fibers are matched, so that comprehensive coverage can be achieved; the stethoscope is expanded, the traditional manual operation is replaced, the stethoscope probe is used for transmitting data to the industrial optical fiber host and the platform server for data processing, accurate positioning of a fault position can be realized, and finally, when stethoscope optical fibers are disassembled, only a positioning cover on the surface of a connecting piece needs to be unscrewed, so that the stethoscope can be disassembled. The auscultation optical fiber can be taken down from the surface of the conveyor, regular maintenance and replacement by workers are facilitated, and the practicability of the equipment is improved.

Active auscultation can be used to determine the characteristics of a user's organs (e.g., lungs or heart). An acoustic or piezoelectric signal (e.g., pulses, tones, and / or broadband pulses) can be projected onto the body or chest of an animal (typically a human). The signal interacts with the body or lungs and, in some cases, may cause resonance within the body / lungs. The resulting signal can be emitted from the body and analyzed to determine, for example, the resonant frequency of the lungs and / or how the sound is absorbed, reflected, or modified by the body. This information can indicate lung characteristics such as lung capacity, the amount of air trapped in the lungs, and / or the presence of COPD.

This invention discloses a multimodal respiratory disease-related data acquisition system and method. The data acquisition system includes a disposable oral-nasal breathing interface, an oral-nasal breath sound acquisition module, a bidirectional flow / differential pressure sensing module, a temperature and humidity auxiliary acquisition module, a chest and back multi-channel auscultation module, a channel auscultation front end, a trimodal respiratory data acquisition box, a mobile terminal annotation module, a clinical label association module, and a local storage module. The data acquisition method is as follows: Step 1, prepare the oral-nasal breathing interface and acoustic coupling patch; Step 2, start the trimodal respiratory data acquisition box; Step 3, the patient performs quiet breathing; Step 4, the patient performs a maximal inhalation followed by a forceful exhalation; Step 5, associate the clinical examination results with the acquired data; Step 6, output risk scores, abnormality prompts, or classification prompts. Beneficial effects: Reduces wind noise interference, allows acoustic signals and lung function data to be acquired at the same time reference, and reduces frictional noise and poor contact.

The invention discloses an internal arteriovenous fistula portable intelligent auscultation instrument for hemodialysis, and relates to the technical field of medical equipment. An alarm, three auscultation result indicating lamps with different colors, an equipment switch and an electric quantity indicating lamp are arranged on the auscultation instrument main machine, an equipment power supply, a control module, a wireless data transmission module and an AI noise recognition chip are arranged in the auscultation instrument main machine, and an auscultation head and a conduction tube are arranged on the outer side of the auscultation instrument main machine. And an auxiliary fixing mechanism is arranged on the stethoscope head. A noise reduction acoustic filter screen is arranged in the auscultation head to accurately filter interference, a signal amplification module at the tail end of a conduction tube amplifies weak blood flow sound, an AI noise recognition chip with a clinical noise spectrum pre-recorded is matched, the internal fistula noise state can be automatically recognized without depending on professional auscultation experience, visual feedback is achieved through a three-color auscultation result indicator lamp, linkage early warning is matched with an alarm, and the internal fistula noise state can be automatically recognized. Common medical care can quickly complete clinical screening, and a patient can also perform self-examination at home, so that the risks of missed judgment and misjudgment are thoroughly avoided.

A multimode stethoscope may provide an auscultatory signal from a patient to a local playback device and to an extended reality (XR) device. The multimode stethoscope may include a signal converter that converts the auscultatory signal to an electric signal carrying the auscultatory signal; an acoustic channel passing the auscultatory signal to an auscultation output port; a chest piece passing the auscultatory signal from the patient to the acoustic channel and to the signal converter; and a first wireless interface wirelessly transmitting the electric signal to the XR device. The auscultation output port may removably attach a stethoscope tube to the acoustic channel. The XR device may display an auscultation position on the patient's body wherein the multimode stethoscope may obtain the auscultatory signal when the chest piece is at the auscultation position. The XR device may store auscultation position data indicating the auscultation position in the patient's profile.

The utility model discloses a sound diagnosis instrument, relates to medical equipment technical field, the sound diagnosis instrument comprises a housing, a lift drive assembly and a bone conduction acquisition head, the housing is provided with an accommodation space, the housing is provided with a guide via hole communicated with the accommodation space; the lifting driving assembly comprises a lifting transmission part and a lifting driving mechanism which are in transmission connection, the lifting driving mechanism is arranged in the containing space, and the lifting transmission part is arranged in the guide through hole in a penetrating mode; the bone conduction collecting head is arranged outside the shell and corresponds to a collecting position used for placing the wrist of a patient, the upper end of the bone conduction collecting head is connected with the lifting transmission part, and the lower end of the bone conduction collecting head is used for abutting against the wrist of the patient so as to collect pulse data of the wrist of the patient; according to the technical scheme, the accuracy of pulse measurement can be improved.

The invention discloses a heart sound signal acquisition and automatic classification method based on deep learning, and aims to solve the problems that wireless transmission time delay of heart sound signals is high, weak pathological features are difficult to extract and classification accuracy is low. The method comprises the following steps: acquiring signals of four auscultation areas by using a high-fidelity wireless digital stethoscope; high-speed and low-delay transmission of medical-level signals is realized by utilizing a star flash transmission module and combining predictive coding and Huffman coding compression mechanisms; in the preprocessing stage, self-adaptive wavelet denoising based on signal energy entropy is adopted, a multi-resolution fusion feature extraction strategy is provided, the problem of time-frequency resolution tradeoff is solved through narrow window and wide window dual-channel parallel processing, and transient positioning features and pathological frequency domain textures are captured at the same time; the classification model adopts a multi-scale parallel convolution structure and is matched with a recurrent neural network and an attention mechanism, so that the problem that transient and continuous heart sound features are difficult to consider at the same time in a single scale is solved. According to the method, the accuracy and robustness of heart sound classification are remarkably improved.

The invention discloses a high-sensitivity electrocardio and heart sound integrated sensor and an installation method thereof, and belongs to the technical field of biomedical sensors. A high-sensitivity electrocardio and heart sound integrated sensor comprises a shell and an integrated circuit board arranged on the inner side of the shell, a top cover is arranged on the shell, an auscultation diaphragm is installed between the top cover and the shell, a mounting plate is arranged on the inner side of the shell, a first supporting seat is installed on the side, close to the auscultation diaphragm, of the mounting plate, and a second supporting seat is installed on the side, close to the auscultation diaphragm, of the mounting plate. A first mechanical layer is mounted on the first supporting seat, and a first mass seat is mounted at the other end of the first mechanical layer; according to the heart sound sensor, the high-sensitivity design is adopted, the first mechanical layer is divided into three equal parts at equal intervals, a cavity structure is formed between the first mechanical layer and the first piezoelectric plate, the normal strain of the first piezoelectric plate in the working process of the sensor is increased through the design, and therefore the sensitivity of the heart sound sensor is improved.

The invention discloses a cardiac mechanical signal processing method and device based on wavelet reconstruction. The method comprises the following steps: performing trend removal and frequency band extraction on an original SCG signal, and reserving main mechanical energy components corresponding to a heart sound event; then wavelet decomposition and main scale reconstruction are carried out, and time domain features of key components such as S1 and S2 structures similar to PCG signals are strengthened, so that heart sound-like signals which are similar to PCG in form and clear in rhythm are generated. Compared with an original SCG signal, the heart sound-like signal obtained through reconstruction is remarkably improved in the aspects of rhythm definition, form consistency and peak stability. And further performing rhythm analysis on the reconstructed signal, introducing physiological constraints, and screening to obtain a cardiac trigger point sequence, thereby realizing high-precision cardiac recognition. The device can be integrated with medical image equipment and wearable equipment, and the functions of heart sound gating, synchronous triggering or auscultation auxiliary analysis and the like are achieved.

The utility model relates to the technical field of medical equipment, in particular to an auscultation device for children, which comprises a chest device, the chest device is clamped on a stethoscope fixing seat, a clamping seat is slidably connected onto the stethoscope fixing seat, a pull rod is rotatably connected onto the clamping seat, one end of the pull rod is rotatably connected onto a connecting seat, and the other end of the pull rod is rotatably connected onto the connecting seat. The connecting base is connected to the supporting rod in a sliding mode, a sliding rod is arranged at one end of the connecting base, and a cylindrical button is detachably connected to the sliding rod. According to the stethoscope fixing seat, the movable seats on the two sides can be close to each other, the clamping seats on the movable seats can be close to each other, when a chest device is placed between the clamping seats on the two sides, the clamping seats can clamp and fix the chest device, the chest device can be rapidly installed on the stethoscope fixing seat, the chest device does not need to be independently placed in a pocket, and therefore medical staff can conveniently use the stethoscope fixing seat. And the stethoscope is also prevented from moving randomly.

The invention belongs to the technical field of medical instruments, and particularly relates to an intelligent stethoscope for infants. The wound hemostasis device comprises an intelligent module, the intelligent module is provided with a wireless transmission module, an ear piece is arranged on one side of the intelligent module, and the intelligent module is communicated with the ear piece through a hose; the fixing piece is fixedly connected to the side, away from the hose on the intelligent module, of the intelligent module; the flexible ring is fixedly connected to the side, away from the intelligent module, of the fixing piece, and the flexible ring has a sound insulation function; the fixing block is fixedly connected to the side, away from the fixing piece, of the flexible ring, the fixing block is provided with a pickup head, and the pickup head is communicated with the intelligent module through a hose. In the moving process of an infant, the fixing block drives the flexible ring to change, so that the pickup head can move along with the movement of the infant, the stability of the position between the pickup head and the infant is kept, and the accuracy of positioning sound of an auscultation part by the pickup head is improved.

The invention discloses an electrocardio and heart sound signal fusion analysis system, particularly relates to the technical field of signal analysis, and comprises a preprocessing module, a feature extraction module, a dimension reduction and correlation analysis module, a prediction model construction module, a heart rate influence correction module and a joint feature generation module. Through joint analysis of electrocardio and heart sound signals, the system combines multi-dimensional information of electrophysiological characteristics and mechanical vibration characteristics, the limitation of single signal diagnosis is made up, the splitting degree, intensity and other characteristics of the heart sound signals are quantified through wave packet extraction and information entropy calculation, and subjective dependence of traditional auscultation is reduced; the key waveform features of the electrocardiosignals strengthen the pathological relevance through accurate identification and time sequence analysis, and the sensitivity of key parameters is further optimized through combination of feature generation and dynamic weight distribution, so that the model can capture early pathological changes more accurately, and a reliable basis is provided for quantitative diagnosis of cardiovascular diseases.

The invention discloses a collaborative auscultation method, system and device and a storage medium, and relates to the technical field of intelligent medical treatment and auxiliary diagnosis, and the method comprises the steps that an AI auscultation doctor end receives a control instruction input by a user through an image user interface, and sends the control instruction to a doctor seeing end; the doctor seeing end collects sound vibration data of an auscultation area based on the instruction and sends the collected sound vibration data to the AI auscultation doctor end; when the AI auscultation doctor end receives sound vibration data, the data are input into the auscultation analysis decision network model for analysis and reasoning, and an AI auscultation conclusion is generated. According to the method, auscultation is carried out through sound vibration data, cardiopulmonary physiological information can be comprehensively captured, and the abnormal feature detection rate and diagnosis accuracy are improved; meanwhile, in combination with an AI auscultation conclusion output by the auscultation analysis decision network model, auscultation decision is assisted, remote auscultation defects are overcome, efficiency and accuracy are improved, and medical resource pressure is relieved.

The utility model relates to a kind of multifunctional physical examination apparatus, including Y-shaped sound guide pipe (1), auscultation ear piece (2), chest piece (3), the auscultation ear piece (2) symmetry is set in the two branch ends of Y-shaped sound guide pipe (1), the chest piece (3) is set in the main stem end of Y-shaped sound guide pipe (1), the chest piece (3) back detachably provided with light source (4) and timer (5), the main stem side wall of Y-shaped sound guide pipe (1) is provided with scale mark layer (6) and pupil table (7), the main stem of Y-shaped sound guide pipe (1) still be provided with sensory tester (8), percussion hammer subassembly (9). Compared with prior art, the utility model is simple in structure, convenient to carry and take, and is conducive to improving the work efficiency of medical staff to carry out physical examination.

The clamping head assembly comprises a plurality of clamping heads which are stored in a heating box, the heating box can store the plurality of clamping heads and preheat the plurality of clamping heads, an object placing plate is fixedly installed in an inner cavity of the heating box, a plurality of positioning heating grooves are formed in the top wall of the object placing plate, and the positioning heating grooves are formed in the top wall of the object placing plate. The plurality of chucks are respectively placed in the plurality of positioning heating grooves, each chuck comprises a soft silica gel layer and a hard plastic layer which are integrally bonded and formed, an outer positioning groove and an inner positioning groove are sequentially formed in one side, back to the hard plastic layer, of the soft silica gel layer, and a cartoon pattern layer is fixedly bonded to one side, back to the soft silica gel layer, of the hard plastic layer. When the stethoscope with the clamping head assembly is used for auscultation, the portion, making contact with the body of a child, of the stethoscope keeps warm for a long time, the cartoon pattern layer can attract attention of the child, the hyperactivity phenomenon of the child is reduced, experience is improved, and discomfort of the child is reduced.

The invention discloses a traditional Chinese medicine diagnosis question and answer based on deep learning, and relates to the technical field of traditional Chinese medicine, and the method comprises the steps: remotely obtaining tongue condition information, pulse condition information, complexion diagnosis information and auscultation information of a patient; the color and state of the patient can be remotely observed; the disease condition of the patient is obtained through language communication; wherein the disease conditions of the patient comprise consciousness symptoms, the incidence process, the treatment course, the daily life, the plain physique, the past medical history and the family medical history; constructing a diagnosis and treatment knowledge graph by analyzing related traditional Chinese medicine literatures and medical case contents; wherein the medical case content comprises the disease condition, tongue condition information, pulse condition information, complexion diagnosis information and auscultation information of the patient; and in combination with syndrome type classification of a traditional Chinese medicine theory, analyzing the constructed disease condition knowledge graph by using a deep learning model so as to intelligently classify and diagnose the disease condition of the patient.

This invention discloses an automatic auscultation and sputum expectoration integrated machine, including a sputum expectorator, a base plate, a left backrest, and a right backrest. A guide rod is provided on the top front side of the vertical base plate along the left-right direction. The tops of both the left and right backrests slide in conjunction with the guide rod, and the bottoms of both the left and right backrests slide in conjunction with the front side of the base plate. Both the left and right backrests have grooves for the movement of the treatment heads. The two treatment heads of the sputum expectorator are respectively mounted on left and right treatment head drive mechanisms. The left auscultation mechanism is used to auscultate the rales in the left lung, and the right auscultation mechanism is used to auscultate the rales in the right lung, thereby determining the specific location of sputum in the lungs. The base plate also has treatment head drive mechanisms that respectively percuss the left and right sides of the patient's back. The treatment head drive mechanisms drive the treatment heads to percuss the patient's back, accurately percussing the stethoscope to determine the lung location of the sputum, and the vibration loosens the sputum to facilitate coughing.

The application relates to the technical field of medical devices, and discloses a portable arteriovenous fistula auscultation terminal and an auscultation system, which comprises a body box, a control box fixedly installed at the middle of the upper end face of the body box, installation boxes fixedly installed at the front and rear end faces of the body box, limit rods slidingly installed at the front and rear sides of the lower end face of the body box, and a sticking pad fixedly installed at the lower end face of the limit rod. The auscultation system further comprises a supporting mechanism arranged at the left and right side walls of the body box, an adjusting mechanism arranged at the inner cavities of the body box, an adsorption mechanism arranged at the left and right side walls of the body box, and a buffer mechanism. The distance between the two supporting rods can be adjusted through the adjusting mechanism, so that the device is suitable for users with different body sizes. Through the arrangement of the supporting mechanism and the adsorption mechanism, the whole device can be stably placed on a table top, so that the stability of the device during use is improved.

Computer software, a computer system (212) and a corresponding method for assessing health of a heart valve of a heart of a subject (202) are disclosed. A plurality of murmur-grade values are received, wherein each murmur-grade value is associated with a different respective auscultation position (102, 104, 106, 108). The plurality of murmur-grade values are input to a first trained software model (304), implemented by the computer software. The first trained software model (304) is operated to generate a value indicative of health of the heart valve. The value indicative of health of the heart valve is output from the first trained software model (304).

The invention discloses an automatic auscultation and sputum excretion all-in-one machine which comprises a sputum excretion instrument, a base plate, a left backrest plate and a right backrest plate. A guide rod is arranged on the top of the front side of the vertical base plate in the left-right direction, the top of the left backrest plate and the top of the right backrest plate are in sliding fit with the guide rod, the bottom of the left backrest plate and the bottom of the right backrest plate are in sliding fit with the front side of the bottom base plate, and treatment head walking track grooves are formed in the left backrest plate and the right backrest plate. Two treatment heads of the sputum excretion instrument are arranged on the left treatment head driving mechanism and the right treatment head driving mechanism respectively. The left auscultation mechanism is used for auscultating sputum sounds of a left lung, and the right auscultation mechanism is used for auscultating sputum sounds of a right lung, so that the specific position of sputum in the lung is judged; the base plate is further provided with a treatment head driving mechanism for tapping the left chest and the right chest of the back of the human body, the treatment head driving mechanism drives the treatment head to tap the back of the patient, the lung position of sputum is determined through auscultation of the accurate tapping stethoscope, and the sputum is loosened through vibration and can be coughed out easily.

The invention belongs to the technical field of medical instruments, and particularly relates to a head-mounted stethoscope for heart disease monitoring, which is used for daily physical examination work and application to a heart rehabilitation path after a cardiac pacemaker is implanted, and comprises a U-shaped frame, and a U-shaped groove is formed in the U-shaped frame. By arranging the mounting rings and the sound boxes in the earmuffs, when the device is used, the earmuffs can be worn on the ears, the sound receiving heads are placed in a manner of being attached to the thoracic cavity of a patient, the sound receiving heads are used for receiving heart sounds of the patient, heart sound data are transmitted to the control host through the wires, and then the control host plays the heart sounds through the sound boxes; the U-shaped frame is arranged on the U-shaped frame, damage to external auditory canal mucous membranes caused by long-time auscultation work is effectively reduced, meanwhile, the holographic glasses are arranged to be connected with the U-shaped frame, the holographic glasses are connected with the control host, and therefore heart sound data are converted into beating images through the control host, visualization is achieved, and the auscultation effect and the auscultation efficiency are effectively improved.