229 results about "Stethoscope" patented technology

The invention provides a building equipment lightweight intelligent auscultation system fused with model distillation. The building equipment lightweight intelligent auscultation system is characterized in that a voiceprint data acquisition module is used for acquiring voiceprint data and equipment state data generated in the operation process of building equipment; the voiceprint data processing and feature extraction module performs preprocessing and feature extraction on original voiceprint data; the lightweight model construction module constructs a lightweight model suitable for edge equipment as a lightweight student model; the model distillation module transfers knowledge of the teacher model to the lightweight student model through distillation; the lightweight model optimization module further optimizes the lightweight student model; and the edge side deployment module deploys the optimized model to edge equipment, and carries out real-time reasoning on whether the building equipment has a fault or not through the edge equipment. According to the method, high-precision teacher model knowledge is migrated into the lightweight student model through the distillation technology, so that the real-time performance is ensured, and meanwhile, the real-time performance, precision and calculation efficiency of the auscultation system of the building equipment are improved.

The present description relates to methods and systems for a medical dictation. In one example, a stethoscope includes a first microphone positioned to capture physiological sounds of a patient, a second microphone positioned to capture ambient sounds, one or more processors, and memory storing instructions executable by the one or more processors to: during a stethoscope mode, obtain a first signal from the first microphone and a second signal from the second microphone, process the first signal to capture a physiological sound signal, including performing noise cancellation on the first signal based on the second signal, and transmit the physiological sound signal to an external computing device and / or a speaker of the stethoscope; and during a dictation mode, obtain the second signal from the second microphone, process the second signal to capture a voice signal, and transmit the voice signal to the external computing device.

The invention relates to a heart and lung sound noise reduction method and system based on a sound stethoscope. A traditional heart and lung sound data noise reduction algorithm is poor in performance in a complex environment, so that a doctor cannot give an accurate diagnosis result. The heart and lung sound is acquired through the acquisition module, the heart and lung sound is converted into a digital form through the analog-to-digital converter and stored, then the stored heart and lung sound data is subjected to traditional time-frequency noise reduction processing and deep learning algorithm noise reduction processing, and the deep learning algorithm noise reduction processing comprises construction of a clean heart and lung sound data set and a noise data set. The heart and lung sound data with noise is obtained by randomly synthesizing clean heart and lung sound data and a noise data set, and the obtained data set is subjected to noise reduction and noise removal processing. According to the method, noise reduction and noise removal are further carried out on the sound signals by adopting the traditional and deep learning model algorithms, the signal-to-noise ratio is obviously improved compared with noise data and a traditional method, and cardiopulmonary sound extraction can be carried out in a more complex external environment.

The invention discloses a digital stethoscope system based on a piezoelectric film, and relates to the technical field of medical electronics and biomedical engineering. An existing digital stethoscope based on a piezoelectric film has the challenges of signal noise and interference, limitation of a signal processing algorithm, nonlinear response and time migration, insufficient diagnosis accuracy and automation and the like. A piezoelectric film and microphone dual audio acquisition mode is fused, various physiological signals such as low-frequency vibration and high-quality heart and lung sound are captured, and background noise is removed through a self-adaptive filter and a frequency spectrum subtraction technology; an MFCC feature extraction and dynamic time warping algorithm is utilized to carry out fine feature analysis and time axis alignment on the preprocessed audio signal, and high-precision matching with a storage template is realized; different physiological states are accurately distinguished through intelligent feature processing, real-time and visual diagnosis feedback is achieved through wireless transmission and state indication, and the reliability and efficiency of medical detection are improved.

The invention provides a mitral valve regurgitation severity assessment method based on PCG signals, which comprises the following steps: firstly, synchronously acquiring signals from a heart sound area and an environmental background by adopting a dual-channel audio acquisition technology, eliminating environmental noise and operation interference (such as clothes friction and non-uniform pressing force of a stethoscope) through a self-adaptive noise elimination algorithm, and calculating the severity of the mitral valve regurgitation severity; and carrying out segmentation processing on continuous heart sound signals of the de-noised heart sound by adopting a dynamic time window segmentation strategy to generate short-time heart sound fragments, evaluating the quality of the short-time heart sound fragments in real time by using a model based on a lightweight convolutional neural network, and filtering low-quality fragments. Then, nonlinear features are directly extracted from the short-time heart sound fragments through a deep neural network model based on a clique block, after each effective fragment is subjected to four classifications, classification results of all the fragments are integrated through a majority voting mechanism, and final mitral valve regurgitation severity judgment is generated. The classification robustness is effectively improved through multi-fragment information fusion, and the random error of single-fragment analysis is reduced.

An acoustic sensor includes a piezoelectric plate including a conductor plate with first and second surfaces, and a piezoelectric element on the second surface, a cover facing the first surface of the conductor plate, a support substrate facing the second surface of the conductor plate and the piezoelectric element, a first connector including a conductor between the piezoelectric element and the support substrate and electrically connecting the piezoelectric element and the support substrate, a first insulating structure including an insulator between the second surface of the conductor plate and the support substrate at an outer edge of the second surface of the conductor plate, and a second connector including a conductor on an outer edge of the first surface of the conductor plate and electrically connecting the conductor plate and the cover.

The invention discloses a remote recognition system based on spatial respiratory tract abnormal sound, and relates to the technical field of sound recognition. The multi-mode sensor array is used for collecting breathing sound in a non-contact mode and obtaining sound source space information of the breathing sound, the cross infection risk is eliminated, and the limitation that a traditional stethoscope can only collect sound signals is broken through. The spatial audio processing module performs preset audio processing on the breathing sound to obtain a breathing sound signal, and obtains sound source control characteristics based on the sound source spatial information; the feature extraction module extracts time-frequency joint features and nonlinear dynamic features from the breath sound signals, and performs feature fusion on the time-frequency joint features and the nonlinear dynamic features and sound source control features to obtain multi-dimensional feature vectors; and the abnormal sound recognition model performs abnormal sound type recognition and spatial positioning on the multi-dimensional feature vector. Therefore, the environmental sound interference can be effectively solved, the type and position of the breathing sound can be intelligently identified, detected and positioned, the identification accuracy of the breathing sound is effectively improved, and meanwhile, the dependence on medical staff is also reduced.

The invention relates to the technical field of medical equipment, in particular to a sputum treatment device and method, a storage medium and a program product, the device comprises a sputum positioning device, a sputum excretion device and a control assembly, and the sputum positioning device comprises a target sensor assembly and projection equipment; the sputum excretion device comprises a sputum excretion pipe and an energy converter. The control assembly is used for receiving the sound wave data collected by the target sensor assembly in the sputum positioning device, calculating the target sputum position of the lung of the patient, controlling the projection equipment to project to the corresponding body surface position of the patient according to the target sputum position, and controlling the sputum excretion device to reach the target sputum position according to the target sputum position. Therefore, the problems that in the prior art, due to the fact that the sputum position is repeatedly positioned through a stethoscope, the positioning precision is poor, the working efficiency is low, and due to inaccurate positioning in follow-up sputum excretion, a patient is strongly stimulated or injured are solved.

The invention discloses a method and a system for designing a breath sound classification recognition accelerator based on an FPGA (Field Programmable Gate Array), and relates to the technical field of breath sound recognition. The method specifically comprises the following steps that a breath sound data set is established, and the breath sound data set comprises multiple kinds of breath event sounds such as normal sounds, dry rale sounds, gasp sounds and gasp sounds; extracting breathing sound features based on the breathing sound data set to obtain a breathing sound feature map; taking the breath sound feature map as a learning sample, and training a breath sound classification recognition model based on a neural network; and using the trained breath sound classification recognition model to perform inversion on the breath sound data set to obtain the recognition accuracy of different types of breath sounds. Compared with a stethoscope, the method has the advantages that the human resource cost is reduced, and the difference caused by human subjective judgment is reduced. Compared with other hardware platforms such as a CPU (Central Processing Unit) and a GPU (Graphics Processing Unit), the system has the advantages of lower power consumption, higher response speed and higher portability.

The invention relates to an abnormal sound detection method, which comprises the following steps of: installing an abnormal sound detection device at a to-be-detected position of an automobile part, and detecting a vibration signal at an abnormal sound occurrence moment by using the abnormal sound detection device; and analyzing the vibration signal, determining an abnormal sound frequency band, performing noise reduction on the abnormal sound frequency band, and analyzing the to-be-detected position according to the vibration signal after noise reduction. The abnormal sound detection device is installed at the to-be-detected position of the automobile part, the abnormal sound detection device is used for detecting the vibration signal at the abnormal sound occurrence moment, then the vibration signal is analyzed, the abnormal sound frequency band is determined, the detection range of the vibration signal is reduced, noise reduction is conducted on the abnormal sound frequency band, the signal-to-noise ratio of the signal of the abnormal sound frequency band is increased, and the abnormal sound detection accuracy is improved. The interference of external noise is reduced, the feature information of the vibration signal is improved, and the technical problem that the fault position cannot be accurately judged due to the fact that the abnormal sound signal detected by the abnormal sound stethoscope in the vehicle driving process is interfered by other irrelevant signals in the related technology is solved.

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.

To provide a medical support method capable of making a medical instrument, such as an ultrasound probe and a stethoscope, autonomously contact with an appropriate position on a subject. A medical support method to be executed by a medical support robot device that performs medical practice to a subject using a medical instrument includes: a step (1) of imaging the subject at a plurality of imaging positions to acquire acquired three-dimensional point cloud information on the subject, two-dimensional image information, and imaging position coordinate information at each of the imaging positions, a step (2) of generating a single set of integrated three-dimensional point cloud information on the subject by using a plurality of sets of the acquired three-dimensional point cloud information and a plurality of sets of the imaging position coordinate information, a step (3) of determining a position of a specific site on the subject that is predetermined in a plurality of sets of the two-dimensional image information, and a step (4) of estimating a position of a diagnostic site on the subject that is subjected to the medical practice in the integrated three-dimensional point cloud information by using anatomical statistic information and the position of the specific site on the subject.

A smart stethoscope includes: a main body including a plurality of sensors for measuring a user's bio-signals and a power supply unit; and a fixing part coupled to a front side of the main body and provided to be foldable to fix a user's finger, wherein the main body includes: an input unit operated by a user; and a control unit that, when one of measurement modes is selected by the user's operation, measures a bio-signal at a specific sensor from among the plurality of sensors on the basis of the selected measurement mode, and calculates a measurement value corresponding to the measured bio-signal according to a preset algorithm. Accordingly, auscultation can be optimized for a user by changing a measurement frequency by changing the mode according to the user while allowing for auscultation through multi-channels including electrocardiogram, pulse waves, and heart and lung sounds.

The invention provides an auscultation method and an auscultation system for digitally storing and analyzing heart and lung sounds. The auscultation method comprises the following steps: acquiring heart and lung sound signals of a patient by using a sound pickup of a digital stethoscope; the heart and lung sound signals are converted into digital signals through an analog-to-digital conversion chip; carrying out adaptive filtering processing on the digital signal; band-pass filtering is carried out through a signal filtering loop at the rear end of the microphone; identifying and removing environmental noise; performing fast Fourier transform analysis on the preprocessed digital signal; the analysis result is stored in a local storage device; and the heart and lung sound digital signal is transmitted to a remote server through the Wi-Fi module. According to the portable auscultation method and system, through accurate signal collecting and processing, real-time feedback and interaction, powerful data analysis capacity, safe data storage and transmission, portability and usability, the efficiency and accuracy of heart and lung sound diagnosis are remarkably improved, and important technical support is provided for modern medical diagnosis.

A stethoscope cover that can include a head, a neck extending from the head to an opening, and a rip cord that is imbedded or otherwise formed or disposed within and which extends along a length of the stethoscope cover to facilitate splitting the cover open for easy removal. A method of preserving sterility in a stethoscope that can include inserting a stethoscope into a stethoscope cover, performing tasks with the stethoscope cover over the stethoscope, pulling the rip cord, splitting the stethoscope cover, removing the stethoscope, and disposing of the stethoscope cover.

1. Name of the product of this design: toy (medical device). 2. Application of this design product: for use as a toy. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: reference diagram of the assembly state. 5. Other situations that require explanation: Component description: Component 1 is a temperature gun, component 2 is a thermometer, component 3 is a stethoscope, component 4 is a blood pressure monitor, component 5 is an oxygen inhalation device, and component 6 is an infusion device.

The invention provides an active noise reduction stethoscope. The active noise reduction stethoscope comprises a sound receiving device, a sound processing device and a control unit, the sound receiving device is provided with a main microphone and an auxiliary microphone, the main microphone is configured to receive and output a first sound signal, and the auxiliary microphone is configured to receive and output a second sound signal. The sound processing device is coupled to the sound receiving device to receive the first sound signal and the second sound signal, and converts the first sound signal and the second sound signal into a third sound signal and a fourth sound signal in a digital mode respectively. The control unit is coupled to the sound processing device and calculates a correlation between the third sound signal and the fourth sound signal for determining whether to execute an active noise reduction operation.

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.

Embodiments disclosed herein improve digital stethoscopes and their application and operation. A first method detects of a respiratory abnormality using a convolution. A second method counts coughs for a patient. A third method predicts a respiratory event based on a detected trend. A fourth method forecasts characteristics of a future respiratory event. In a fifth embodiment, a base station is provided for a digital stethoscope.

The utility model discloses a wireless stethoscope which comprises a stethoscope shell and a handheld shell, one end of the handheld shell is fixedly connected with a connecting block, the other end of the connecting block is fixedly connected with the outer wall of the stethoscope shell, and the stethoscope shell is fixedly installed at the end of the handheld shell through the connecting block. A trumpet-shaped opening is formed in one side of the auscultation shell, a mounting ring is fixedly arranged at the position, located on the inner wall of the trumpet-shaped opening, of the auscultation shell, and a sound filtering diaphragm is arranged in the middle of the interior of the mounting ring. According to the utility model, the plurality of microphones are uniformly arranged on the mounting ring in a surrounding manner, so that a microphone matrix is formed on the mounting ring, the sound direction detection sensor on the PLC judges the sound emitting direction according to the sound receiving sequence of the different microphones, and the sound direction is displayed on the display; therefore, a doctor can accurately find the sounding position according to the direction displayed on the display, and the doctor can judge the illness state of a patient.

The present invention comprises a cuff (20), a cuff pressure adjustment unit (32, 33), and a pressure sensing unit (31) that senses cuff pressure. During a pressure release process, the time at which a waveform feature point of a pulse beat was generated for each pulse of a pulse wave indicated by an artery passing through a measurement target site is recorded. During the pressure release process, a memory (51) is caused to sequentially store, as a data pair, the time at which the waveform feature point of the pulse beat was generated and the cuff pressure at that time. The cuff pressure is displayed on an indicator (50).In the pressure release process, an observer listening for a Korotkoff sound with a stethoscope while observing the cuff pressure displayed on indicator (50) operates an operating unit (52B) and inputs a time signal indicating the time at which the observer judged that the generation of the Korotkoff sound had ceased. A data pair corresponding to one pulse beat preceding a data pair corresponding to the time is specified, and a cuff pressure contained within the specified data pair is recorded as a corrected diastolic blood pressure value.

A stethoscope cover that can include a head, a neck extending from the head to an opening, and a rip cord that is imbedded or otherwise formed or disposed within and which extends along a length of the stethoscope cover to facilitate splitting the cover open for easy removal. A method of preserving sterility in a stethoscope that can include inserting a stethoscope into a stethoscope cover, performing tasks with the stethoscope cover over the stethoscope, pulling the rip cord, splitting the stethoscope cover, removing the stethoscope, and disposing of the stethoscope cover.

The utility model provides an anti-drop storage box for stethoscopes, and relates to the technical field of storage boxes, the anti-drop storage box comprises a box body and a mounting assembly, a box cover is arranged on one side of the box body, the box body and the box cover are provided with buffer assemblies by means of the mounting assembly, and rubber blocks of the buffer assemblies are used for buffering and protecting the box body and the box cover. By using the mounting assembly, the buffer assembly can be quickly mounted and fixed on the surfaces of the box body and the box cover, and then the buffer assembly can be conveniently used subsequently. By using the buffering assembly, buffering can be performed when the box body or the box cover is in contact and collision with the ground, and the impact borne by the stethoscope in the box body is further reduced.

A rubber tube for a stethoscope and a structure for fitting the rubber tube with ear-hung pieces. The rubber tube (1) for a stethoscope comprises a rubber tube channel (10) penetrating through each end portion, recesses (12) are provided on a channel wall (11) of the rubber tube channel (10); and when the ear-hung pieces are opened towards two sides for use, the sound listening effect of the stethoscope will not be reduced due to an ear-hung piece spring plate (71) pressing the channel wall (11) of the rubber tube (1).

To improve accuracy in determining whether or not there is an abnormality in biological sounds obtained with a stethoscope.SOLUTION: A program of this embodiment causes a processor of a data processing terminal 1 to function as a biological sound data acquisition unit 165 that acquires biological sound data based on auscultatory sounds acquired with a stethoscope ST in contact with a subject, a position data acquisition unit 163 that acquires position data indicating an auscultatory position at which the stethoscope ST acquired the auscultatory sounds, and a communication processing unit 167 that transmits auscultatory data in which the auscultatory position indicated by the position data is associated with the biological sound data to an external device 2 in a state in which it is possible to determine whether the auscultatory sounds are normal or abnormal.SELECTED DRAWING: Figure 3

1. The name of the design product: stethoscope and its chest. 2. The use of the design product: for human detection. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: design 1 perspective view 1. 5. Design 1 is designated as the basic design. 6. Other circumstances that need to be explained: design 1 is the overall appearance design, protecting the whole stethoscope. Design 2 is a partial appearance design, protecting the chest part of the stethoscope. Among them, the solid line part in design 2 is the part that needs protection, and the dotted line part is the part that does not need protection.

The portable diagnosis and treatment device comprises a shell, supporting legs are fixedly connected to the four corners of the lower end of the shell, a box cover is rotatably connected to the rear portion of the upper end of the shell, and a partition assembly is arranged on the inner surface of the shell; a disinfection assembly is arranged at the upper end of the partition assembly, and the partition assembly comprises a round frame slidably connected with the inner surface of the shell. According to the portable diagnosis and treatment device for the cardiovascular medicine department, by arranging the partition assembly, blood collection tubes and medical instruments commonly used for stethoscopes can be reasonably classified and stored, and particularly, the collection tube storage mechanism can fix the blood collection tubes of different specifications and take the blood collection tubes as needed; accuracy and high efficiency during taking are ensured, and the collecting tube can be taken and placed more conveniently through the ejection mechanism, so that time waste in work is reduced, and clinical diagnosis and treatment efficiency is improved.

1. Name of the design product: Stethoscope. 2. Use of the design product: For medical stethoscopes. 3. Design key points of the design product: Lies in the shape. 4. Picture or photo that best shows the design key points: Perspective view 1.

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.

Provided is a hybrid ring-type smart stethoscope and a method for producing the same, and the hybrid ring-type smart stethoscope includes: a connection part which has a hollow hole into which a user's finger is inserted; an upper structure which is provided on the top of the connection part; and a lower structure which is provided on the bottom of the connection part, and has a measurement module collecting body-related information, which includes the user's heartbeat or respiratory information, by coming into contact with the user. The method of producing a hybrid ring-shaped smart stethoscope includes the steps of: preparing a connection part for wearing on a user's finger; installing an upper structure on the top of the connection part in a foldable manner; and installing a lower structure on the bottom of the connection part in a foldable manner. Therefore, the hybrid ring-type smart stethoscope can effectively auscultate a user's pulse and cardiopulmonary sounds, and is conveniently portable on an ordinary day.