CN111870273A - Remote lung sound monitoring device, system and method - Google Patents

Remote lung sound monitoring device, system and method Download PDF

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CN111870273A
CN111870273A CN202010695804.3A CN202010695804A CN111870273A CN 111870273 A CN111870273 A CN 111870273A CN 202010695804 A CN202010695804 A CN 202010695804A CN 111870273 A CN111870273 A CN 111870273A
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lung sound
module
lung
signal
sound
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靳杨
曾燕兰
房烨
彭小川
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920th Hospital of the Joint Logistics Support Force of PLA
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920th Hospital of the Joint Logistics Support Force of PLA
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B7/00Instruments for auscultation
    • A61B7/003Detecting lung or respiration noise
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B50/00Containers, covers, furniture or holders specially adapted for surgical or diagnostic appliances or instruments, e.g. sterile covers
    • A61B50/30Containers specially adapted for packaging, protecting, dispensing, collecting or disposing of surgical or diagnostic appliances or instruments
    • A61B50/31Carrying cases or bags, e.g. doctors' bags
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B7/00Instruments for auscultation
    • A61B7/02Stethoscopes
    • A61B7/04Electric stethoscopes
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61LMETHODS OR APPARATUS FOR STERILISING MATERIALS OR OBJECTS IN GENERAL; DISINFECTION, STERILISATION OR DEODORISATION OF AIR; CHEMICAL ASPECTS OF BANDAGES, DRESSINGS, ABSORBENT PADS OR SURGICAL ARTICLES; MATERIALS FOR BANDAGES, DRESSINGS, ABSORBENT PADS OR SURGICAL ARTICLES
    • A61L2/00Methods or apparatus for disinfecting or sterilising materials or objects other than foodstuffs or contact lenses; Accessories therefor
    • A61L2/02Methods or apparatus for disinfecting or sterilising materials or objects other than foodstuffs or contact lenses; Accessories therefor using physical phenomena
    • A61L2/08Radiation
    • A61L2/10Ultra-violet radiation
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
    • G10L25/48Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
    • G10L25/51Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
    • G10L25/66Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination for extracting parameters related to health condition
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/67ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61LMETHODS OR APPARATUS FOR STERILISING MATERIALS OR OBJECTS IN GENERAL; DISINFECTION, STERILISATION OR DEODORISATION OF AIR; CHEMICAL ASPECTS OF BANDAGES, DRESSINGS, ABSORBENT PADS OR SURGICAL ARTICLES; MATERIALS FOR BANDAGES, DRESSINGS, ABSORBENT PADS OR SURGICAL ARTICLES
    • A61L2202/00Aspects relating to methods or apparatus for disinfecting or sterilising materials or objects
    • A61L2202/20Targets to be treated
    • A61L2202/24Medical instruments, e.g. endoscopes, catheters, sharps

Abstract

The invention discloses a remote lung sound monitoring device, a system and a method thereof, and relates to the technical field of lung sound monitoring. The lung sound monitoring device comprises a containing box body, a built-in sound pickup device and a listening device, wherein the sound pickup device is integrally formed and comprises a lung sound collecting part, an intelligent control part and a function operating part, and the listening device comprises a function shell and an input earplug; the device can realize remote lung sound monitoring and lung sound auscultation simulation exercise and assist in improving the accuracy of lung sound monitoring, and is suitable for popularization and application.

Description

Remote lung sound monitoring device, system and method
Technical Field
The invention relates to the technical field of lung sound monitoring, in particular to a remote lung sound monitoring device, system and method.
Background
The lung sound signal is a physiological sound signal generated by a human respiratory system and the outside in the ventilation process, has a complex generation mechanism and contains rich physiological and pathological information. The normal respiratory sounds can be classified into alveolar respiratory sounds, bronchial respiratory sounds, and tracheal sounds. The abnormal breath sounds are mainly classified into wheeze, luoyin and galoyin. The lung sound source is typically composed of a sequence of three noises, where the normal source of breathing sound is non-white gaussian noise generated by the interaction of the air flow in the lungs with the lung tissue, and the intermittent pulses are the source of lung sound that generates a rale, as a series of pop sounds, lasting less than 5 ms. The last is a periodic pulse, believed to be due to periodic oscillations of the airflow and airway wall, which is a source of lung sounds that produce wheezes. The superposition of one, two or even three of the three sound sources forms a lung sound signal which can be detected on the surface of the chest through an acoustic transmission filter consisting of lung tissues and the chest wall, and also superposes interference signals such as heart sound, muscle and skin noise and the like on different links.
The lung sound is an important index reflecting the physiological and pathological characteristics of the lung, and is the most common qualitative method for clinically diagnosing diseases; in the prior art, for lung sound monitoring, for example, a wireless stethoscope disclosed in CN 102283672B includes a stethoscope head and earphones which are wirelessly connected, wherein the stethoscope head is internally provided with a sound sensor, a signal processing unit and a wireless signal transmitter which are sequentially connected, and the earphones are a wireless signal receiver, a D/a converter and a speaker which are sequentially connected; the wireless stethoscope can detect common heart sounds and breath sounds, can capture special heart sounds, lung sounds and bowel sounds, and has the advantages of stability, reliability, high precision and simplicity in operation, but the device lacks products and schemes for specific implementation, and remains in a theoretical stage for teaching application of the wireless stethoscope; for another example, CN 101766493B discloses a portable visual bluetooth electronic stethoscope with separable heart and lung sounds, which analyzes heart and lung sounds in real time by means of bluetooth wireless connection with a PC; the heart and lung sound waveform can be observed, the heart rate and other physiological parameters can be provided, and the heart and lung sound can be displayed, stored and recovered; however, the multi-mode and function selection of wireless auscultation cannot give a detailed scheme, and the practical implementation has defects; as another example, CN 105662459 a discloses a wearable lung sound detection device, which is attached by a wearable suction cup, and performs lung sound collection by a modular structure, and performs lung sound monitoring by wireless transmission.
The lung sound detection in the prior art is lack of specific product structures, reasonable storage and disinfection and other designs, and meanwhile, for the teaching aspect of lung sound auscultation, the functions of simulation training, learning, multi-person auscultation acquisition and the like are lacked, so that the products in the prior art have defects in actual use and cannot really perform corresponding simulation training; meanwhile, in the lung sound collection in the prior art, mainly audio files are collected, and breathing health graphical visual files such as a lung sound characteristic spectrogram, a oscillogram, a 3D spectrogram, a diagnosis index table, a diagnosis result and the like cannot be effectively realized or obtained, so that doctors can perform real-time auxiliary diagnosis.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a remote lung sound monitoring device, a system and a method, which can realize remote lung sound monitoring, lung sound auscultation simulation exercise and auxiliary lung sound auscultation diagnosis, are matched with storage and disinfection equipment, and are suitable for popularization and application.
In order to achieve the technical purpose and achieve the technical effect, the invention is realized by the following technical scheme:
a remote lung sound monitoring device comprises a containing box body, a built-in sound pickup device and a sound listening device, wherein the sound pickup device is integrally formed and comprises a lung sound collecting part, an intelligent control part and a function operation part, the lung sound collecting part is provided with a plurality of collecting modules in a specification arrangement mode, a signal processing module, a data transmission module, a data storage module and a power supply module are integrally arranged in the intelligent control part and connected with the collecting modules, the signal processing module is used for sequentially amplifying, converting, analyzing and identifying signals so as to convey the signals, and the function operation part comprises a touch display module and a function switch; the listening device comprises a functional shell and an input earplug, wherein a data receiving module, a volume control module and a noise reduction module are arranged in the functional shell, and sound signals are transmitted to the input earplug.
Furthermore, the lung sound collecting part adopts a matrix type collecting module design, the collecting module is connected with the signal processing module, and the signal processing module integrates an amplifying circuit, a digital-to-analog conversion circuit and a filter circuit and is simultaneously connected with the core processor;
the core processor is respectively connected with the data transmission module, the data storage module and the power supply module and is simultaneously controlled by the touch display module through the functional operation part.
Furthermore, a shell of the intelligent control part is provided with a function switch, and the upper end of the intelligent control part is provided with a touch display module in an embedded mode;
a power supply is arranged in a functional shell of the listening device and is connected with each module, and a signal lamp and a power switch are arranged on the functional shell.
Furthermore, the accommodating box body comprises a cavity box body and a buckled box cover connected through a damping rotating shaft;
the cavity box body is divided into two cavities, a pickup device and a listening device are respectively placed in the two cavities, and ultraviolet disinfection lamps are arranged on the cavity box body and the box cover.
Furthermore, the remote lung sound monitoring device further comprises a lung sound analysis computer, the lung sound analysis computer realizes signal transmission with the sound pickup device and the listening device through a wireless network, and the lung sound analysis computer comprises a lung sound characteristic frequency spectrogram, a oscillogram, a 3D frequency spectrogram, a diagnosis index table and diagnosis result analysis; the obtained breathing health is imaged and visualized through a computer based on a Windows platform and then transmitted back to a touch display module of the sound pickup device;
and analyzing the lung sound characteristic spectrogram, the oscillogram, the 3D spectrogram, the diagnosis index table and the diagnosis result by an algorithm through a Windows platform computer.
Another object of the present invention is to provide a lung sound monitoring system of a remote lung sound monitoring device;
the lung sound monitoring system includes:
an acquisition module: the system is used for collecting a lung sound initial detection signal and a lung sound environment sound signal;
the signal processing module: the signal acquisition module is used for amplifying, converting, analyzing and identifying the signal acquired by the acquisition module for further transmission;
the data transmission module and the data receiving module: the sound pickup device is used for realizing the transmission of signals and instructions between the sound pickup device and the listening device;
a data storage module: the lung sound signal acquisition and processing device is used for storing the acquired and signal-processed lung sound signals for timely deployment by an operator;
a volume control module: the lung sound volume control device is used for controlling the lung sound signal volume output by the listening device;
a noise reduction module: for reducing noise output by the listening device;
the touch display module: for controlling and implementing the respective functional operations.
Furthermore, in the lung sound monitoring system of the remote lung sound monitoring device, the lung sound signal acquired by the acquisition module is superimposed with interference signals of heart sound, muscle and skin noise and is input into the signal processing module, the lung sound signal is transmitted to the core processor through the integrated amplification circuit, the digital-to-analog conversion circuit and the filter circuit, and the lung sound signal is obtained after feature extraction, analysis and identification are performed by the core processor; the lung sound signals are synchronously transmitted to the data storage module and the data transmission module for data transmission;
the data transmission module transmits the lung sound signal to the data receiving module of the listening device, and then the lung sound signal is output to a stethoscope through the volume control module and the noise reduction module.
Further, the data transmission module and the data receiving module are a bluetooth module, a wireless transmission module, a 4G data transmission module or a cloud data module.
Further, the data storage module is a cloud database or a built-in storage module.
Another objective of the present invention is to provide a lung sound monitoring method of a remote lung sound monitoring system;
the lung sound monitoring method comprises the following steps:
step 1: remote lung sound monitoring device opening
The remote lung sound monitoring device is turned on by operating a function switch of the function part, the touch display module is lightened after the remote lung sound monitoring device is turned on, the lung sound monitoring device enters a standby state, and a corresponding mode is selected through the touch display module;
step 2: lung sound collection for remote lung sound monitoring
A lung sound collecting part of the pickup device collects a lung sound initial examination signal and a lung sound environment sound signal through a collecting module and transmits the signals to a signal processing module;
and step 3: amplification, transformation, analysis and identification of lung sound signals
The lung sound signal is amplified by adopting an integrated amplifying circuit, a digital-to-analog conversion circuit and a filter circuit, and the lung sound signal is subjected to time-frequency analysis, wavelet analysis and bispectrum analysis through a core processor;
and 4, step 4: storage and transmission of lung sound signals
The lung sound signals processed by the signal processing module are stored in the data storage module and the data transmission module, the data storage module and the data transmission module are carried out in real time, and meanwhile, the lung sound signals are received by the data receiving module;
and 5: lung sound signal output
The lung sound signals received by the data receiving module are transmitted to the auscultator by the listening device.
Further, in the step 3, the lung sound signal is analyzed and identified, and the criterion of separability of lung sound signal class satisfies the following requirements:
1) monotonic relationship to error probability
2) When the features are independent, there is an additive property, i.e.
Figure RE-GDA0002680714110000061
Here JijIs a function of the separability criteria of class i and class JijThe separation degree of the two types of Shu Da, chi1,χ2,...,χdIs a random variable of the corresponding characteristic of a certain category;
3) monotonicity, i.e. when adding a new feature, the criterion is not reduced:
Jij1,χ2,...,χd)≤Jij1,χ2,...,χd,χd+1)
order to
Figure RE-GDA0002680714110000062
Are respectively omegaiClass and omegajThe D-dimensional feature vector in the class,
Figure RE-GDA0002680714110000063
the distance between these two vectors is the average distance between the feature vectors of each type:
Figure RE-GDA0002680714110000064
wherein c is the number of classes, n is the number of samples in omega class, njIs omegajNumber of class-type samples, Pi,PjIs the prior probability of the corresponding class;
the Euclidean distance is adopted between two vectors in the multidimensional space:
Figure RE-GDA0002680714110000071
furthermore, the time-frequency analysis of the lung sound can display the time-domain waveform and the time-frequency distribution condition of the lung sound signal, and the frequency of the lung sound signal is mainly concentrated in a low frequency band and is about 100Hz or less;
and the wavelet analysis selects different wavelets to decompose the lung sound signals in different scales, and extracts energy characteristic parameters of different frequency bands.
Further, the lung sound monitoring mode of the lung sound monitoring method is divided into an auscultation mode and a simulated training mode.
The invention has the beneficial effects that:
the lung sound monitoring device comprises a containing box body, a built-in sound pickup device and a sound listening device, wherein the sound pickup device is integrally formed and comprises a lung sound collecting part, an intelligent control part and a function operation part, and the function operation part comprises a touch display module and a function switch; the listening device comprises a functional shell and an input earplug; the sound pickup device and the listening device are accommodated and used through the accommodating shell, and meanwhile, a wireless transmission mode is adopted, so that the data can be transmitted without connecting lines, the lung sound monitoring can be carried out while the protective clothing is worn, and meanwhile, the remote monitoring can be realized;
according to the lung sound monitoring system of the remote lung sound monitoring device, interference signals of heart sound, muscle and skin noise are superposed through lung sound signals collected by the collection module and are input into the signal processing module, the lung sound signals are transmitted to the core processor through the integrated amplification circuit, the digital-to-analog conversion circuit and the filter circuit, and the lung sound signals are obtained after feature extraction, analysis and identification are carried out through the core processor; the lung sound signals are synchronously transmitted to the data storage module and the data transmission module for data transmission; the accuracy of lung sound monitoring can be effectively improved, and the judgment accuracy of a stethoscope can be improved;
the remote lung sound monitoring device, the lung sound monitoring system and the method can select an auscultation mode and a simulation training mode, can select through the listening device, can actually monitor lung sounds or simulate the auscultation of the lung sounds, and have diversified function selection, wherein the lung sounds played in the simulation process are lung sound signals of the data storage module;
the remote lung sound monitoring device also comprises a lung sound analysis computer, wherein the lung sound analysis computer realizes signal transmission with the sound pickup device and the listening device through a wireless network, and the lung sound analysis computer comprises a lung sound characteristic frequency spectrogram, a oscillogram, a 3D frequency spectrogram, a diagnosis index table and diagnosis result analysis; the obtained respiratory health is imaged and visualized through a computer based on a Windows platform and then transmitted back to a touch display module of the sound pick-up device to assist lung sound auscultation;
according to the remote lung sound monitoring device, through the design of the listening device, the listening device comprises a functional shell and an input earplug, wherein a data receiving module, a volume control module and a noise reduction module are arranged in the functional shell, and sound signals are transmitted to the input earplug; can reduce the noise of auscultation, and properly adjust the volume, and is suitable for popularization and use.
Of course, it is not necessary for any product in which the invention is practiced to achieve all of the above-described advantages at the same time.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is an overall schematic view of a remote lung sound monitoring device according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of a receiving box according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a sound pickup apparatus according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a listening device according to an embodiment of the present invention;
fig. 5 is a schematic block diagram of a remote lung sound monitoring system according to an embodiment of the present invention;
fig. 6 is a schematic block diagram of a remote lung sound monitoring system according to an embodiment of the present invention;
fig. 7 is a schematic diagram illustrating an operation of a remote lung sound monitoring system according to an embodiment of the present invention;
in the drawings, the names of the various components are:
1-containing box body, 101-cavity box body, 102-box cover, 103-ultraviolet disinfection lamp, 2-sound pickup device, 201-lung sound collecting part, 202-intelligent control part, 203-functional operation part, 3-listening device, 301-functional shell and 302-input earplug.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
As shown in fig. 1-4
A remote lung sound monitoring device comprises a containing box body 1, a built-in sound pickup device 2 and a built-in sound listening device 3, wherein the sound pickup device 2 is integrally formed and comprises a lung sound collecting part 201, an intelligent control part 202 and a function operation part 203, the lung sound collecting part 201 is provided with a plurality of collecting modules which are arranged in a specification mode, the intelligent control part 202 is internally provided with a signal processing module, a data transmission module, a data storage module and a power supply module in an integrated mode and is connected with the collecting modules, the signal processing module is used for sequentially amplifying, converting, analyzing and identifying signals and then conveying the signals, and the function operation part 203 is a touch display module and a function switch; the listening device 3 comprises a functional shell 301 and an input ear plug 302, wherein the functional shell 301 is internally provided with a data receiving module, a volume control module and a noise reduction module, and transmits sound signals to the input ear plug 302.
The lung sound collecting part 201 adopts a matrix type collecting module design, the collecting module is connected with a signal processing module, and the signal processing module integrates an amplifying circuit, a digital-to-analog conversion circuit and a filter circuit and is simultaneously connected with a core processor;
the core processor is connected with the data transmission module, the data storage module and the power supply module respectively, and is controlled by the touch display module through the function operation part 203.
A function switch is installed on the shell of the intelligent control part 202, and a touch display module is installed at the upper end of the intelligent control part 202 in an embedded mode;
the functional shell 301 of the listening device 3 is internally provided with a power supply which is connected with each module, and the functional shell 301 is provided with a signal lamp and a power switch.
The accommodating box body 1 comprises a cavity box body 101 and a buckled box cover 102 connected through a damping rotating shaft;
the interior of the cavity box body 101 is divided into two cavities for respectively placing the pickup device 2 and the listening device 3, and the cavity box body 101 and the box cover 102 are provided with ultraviolet disinfection lamps 103.
The remote lung sound monitoring device adopts the accommodating box body to accommodate the sound pickup device and the listening device, and meanwhile, the accommodating box body is adopted to sterilize the sound pickup device and the listening device, and all modules are integrated on the sound pickup device and the listening device to realize separated remote lung sound monitoring;
the sound pickup device and the listening device are accommodated and used through the accommodating shell, and meanwhile, a wireless transmission mode is adopted, so that the data can be transmitted without connecting lines, the lung sound monitoring can be carried out while the protective clothing is worn, and meanwhile, the remote monitoring can be realized;
on the one hand, can realize long-range lung sound monitoring auscultation, even face and to realize the transmission of auscultation data under the protective clothing condition, be fit for popularizing and applying.
As shown in fig. 6, the touch display module according to the embodiment of the present invention is a user interaction interface, is developed based on a network architecture, and includes a power supply display column, a mode selection column and a function column, wherein a plurality of levels of subdirectories are arranged under the mode selection column and the function column, for example, a lower level of subdirectories of the mode selection column is an auscultation column and a simulated training column, and a lower level of subdirectories of the simulated training column is used for specifically selecting and storing lung sound information; the directory of the function bar can perform functions of system setting, lung sound information sharing and the like;
meanwhile, in the technical scheme of the invention, the containing box body contains the pickup device and the listening device, the disinfection and wireless charging module is arranged in the containing box body, and the power supply module in the containing box body wirelessly charges the pickup device and the listening device, selects the pickup device and the listening device for use and ensures the effectiveness of use; meanwhile, the disinfection device is an ultraviolet disinfection lamp, which is a very necessary existence, and the disinfection is particularly important after auscultation.
Example 2
A lung sound monitoring system of a remote lung sound monitoring device;
the lung sound monitoring system includes:
an acquisition module: the system is used for collecting a lung sound initial detection signal and a lung sound environment sound signal;
the signal processing module: the signal acquisition module is used for amplifying, converting, analyzing and identifying the signal acquired by the acquisition module for further transmission;
the data transmission module and the data receiving module: the sound pickup device is used for realizing the transmission of signals and instructions between the sound pickup device and the listening device;
a data storage module: the lung sound signal acquisition and processing device is used for storing the acquired and signal-processed lung sound signals for timely deployment by an operator;
a volume control module: the lung sound volume control device is used for controlling the lung sound signal volume output by the listening device;
a noise reduction module: for reducing noise output by the listening device;
the touch display module: for controlling and implementing the respective functional operations.
In the lung sound monitoring system of the remote lung sound monitoring device, the lung sound signals collected by the collection module are superposed with interference signals of heart sound, muscle and skin noise and are input into the signal processing module, the lung sound signals are transmitted to the core processor after passing through the integrated amplification circuit, the digital-to-analog conversion circuit and the filter circuit, and the lung sound signals are obtained after feature extraction, analysis and identification are carried out by the core processor; the lung sound signals are synchronously transmitted to the data storage module and the data transmission module for data transmission;
the data transmission module transmits the lung sound signal to the data receiving module of the listening device, and then the lung sound signal is output to a stethoscope through the volume control module and the noise reduction module.
The data transmission module and the data receiving module are a Bluetooth module, a wireless transmission module, a 4G data transmission module or a cloud data module.
The data storage module is a cloud database or a built-in storage module.
The lung sound monitoring system of the remote lung sound monitoring device adopts an integrated module design, collects, processes, outputs and stores lung sounds, lung sound signals collected by a collection module arranged in a pickup device are superposed with interference signals of heart sounds, muscle and skin noises and input to a signal processing module, the lung sound signals are transmitted to a core processor through an integrated amplification circuit, a digital-to-analog conversion circuit and a filter circuit, and the lung sound signals are obtained after feature extraction, analysis and identification are carried out by the core processor, so that remote transmission and accuracy enhancement of lung sound auscultation can be realized, and operations such as data storage can be carried out.
The lung sound monitoring system comprises a signal processing module, a data transmission module, a data receiving module and a data storage module: the sound pickup device is used as a signal acquisition source, corresponding functions are realized by selecting functional operation, meanwhile, the data transmission module and the data storage module further comprise matching modules, and the matching modules operate by matching corresponding auscultation devices.
Example 3
A lung sound monitoring method of a remote lung sound monitoring system;
the lung sound monitoring method comprises the following steps:
step 1: remote lung sound monitoring device opening
The remote lung sound monitoring device is turned on by operating a function switch of the function part, the touch display module is lightened after the remote lung sound monitoring device is turned on, the lung sound monitoring device enters a standby state, and a corresponding mode is selected through the touch display module;
step 2: lung sound collection for remote lung sound monitoring
A lung sound collecting part of the pickup device collects a lung sound initial examination signal and a lung sound environment sound signal through a collecting module and transmits the signals to a signal processing module;
and step 3: amplification, transformation, analysis and identification of lung sound signals
The lung sound signal is amplified by adopting an integrated amplifying circuit, a digital-to-analog conversion circuit and a filter circuit, and the lung sound signal is subjected to time-frequency analysis, wavelet analysis and bispectrum analysis through a core processor;
and 4, step 4: storage and transmission of lung sound signals
The lung sound signals processed by the signal processing module are stored in the data storage module and the data transmission module, the data storage module and the data transmission module are carried out in real time, and meanwhile, the lung sound signals are received by the data receiving module;
and 5: lung sound signal output
The lung sound signals received by the data receiving module are transmitted to the auscultator by the listening device.
And 3, analyzing and identifying the lung sound signals, wherein the criterion of separability of the lung sound signal categories meets the following requirements:
monotonic relationship to error probability
When the features are independent, there is an additive property, i.e.
Figure RE-GDA0002680714110000141
Here JijIs a function of the separability criteria of class i and class JijThe separation degree of the two types of Shu Da, chi1,χ2,...,χdIs a random variable of the corresponding characteristic of a certain category;
monotonicity, i.e. when adding a new feature, the criterion is not reduced:
Jij1,χ2,...,χd)≤Jij1,χ2,...,χd,χd+1)
order to
Figure RE-GDA0002680714110000142
Are respectively omegaiClass and omegajThe D-dimensional feature vector in the class,
Figure RE-GDA0002680714110000143
the distance between these two vectors is the average distance between the feature vectors of each type:
Figure RE-GDA0002680714110000144
wherein c is the number of classes, n is the number of samples in omega class, njIs omegajNumber of class-type samples, Pi, PjIs the prior probability of the corresponding class;
the Euclidean distance is adopted between two vectors in the multidimensional space:
Figure RE-GDA0002680714110000145
the time-frequency analysis of the lung sound can display the time-domain waveform and the time-frequency distribution condition of the lung sound signal, and the frequency of the lung sound signal is mainly concentrated in a low frequency band and is about 100Hz or less;
and the wavelet analysis selects different wavelets to decompose the lung sound signals in different scales, and extracts energy characteristic parameters of different frequency bands.
Through the operation, can realize improving the degree of accuracy of lung sound auscultation, the murmurmur is eliminated, and the record is collected to the lung sound, and operations such as long-range auscultation can realize long-range lung sound monitoring, the accuracy that the simulation of lung sound auscultation was exercised and supplementary improvement lung sound monitoring, are fit for popularizing and applying.
Example 4
The lung sound monitoring mode of the lung sound monitoring method is divided into an auscultation mode and a simulation training mode.
When the operation is performed in the simulated training mode of the lung sound auscultation, the step 1 is performed, the remote lung sound monitoring device is turned on through the function switch of the operation function part, the touch display module is lightened after the remote lung sound monitoring device is turned on, the lung sound monitoring device enters a standby state, and the corresponding mode is selected through the touch display module;
after entering an auscultation simulation training mode, the core processor is used for transferring the lung sound signals of the data storage module, and the lung sound signals are transmitted to the listening device for output through data transmission, so that further diagnosis of the stored lung sounds is realized;
the training operation can be effectively realized as an inexperienced stethoscope;
as shown in fig. 7, when a training mode is monitored for lung sounds, a corresponding interface is entered through a selection mode, which is different from the prior art, the technical scheme of the invention takes a sound pickup device as a main body, the sound pickup device is assisted, the sound pickup device can be matched with a plurality of sound pickup devices and wirelessly connected with each other, data processing and storage and the like are processed through the sound pickup device, when auscultation is performed for lung sounds, a corresponding subdirectory is entered after the selection mode to select a model for auscultation simulation exercise, so as to embody reality, a human body model can be used for operation, a built-in recording file is played after the subdirectory is selected, and in the lung sounds auscultation mode, monitoring while recording is performed, and the recording file is stored after the completion;
therefore, the lung sound storage file can be played through the selection mode of the sound pickup device, and meanwhile, the sound pickup device can be used for switching, so that the use is relatively convenient, and the sound pickup device can also be used for training such as teaching and examination.
Example 5
The remote lung sound monitoring device is applied to infectious disease diagnosis and lung sound monitoring auscultation.
If a stethoscope person wears protective clothing during a new crown period and a common stethoscope cannot be used, the remote lung sound monitoring device can effectively solve the problem.
Example 6
The application of the remote lung sound monitoring device in remote lung sound auscultation.
According to the remote lung sound monitoring device, the sound pickup device and the listening device can be matched through connection, and a patient can auscultate lung sounds without directly facing the auscultator.
Example 7
The remote lung sound monitoring device is applied to providing a breathing health graphical visual file to assist lung sound auscultation in real time;
the remote lung sound monitoring device also comprises a lung sound analysis computer, the lung sound analysis computer realizes signal transmission with the sound pickup device and the listening device through a wireless network, and the lung sound analysis computer comprises a lung sound characteristic frequency spectrogram, a oscillogram, a 3D frequency spectrogram, a diagnosis index table and diagnosis result analysis; the obtained breathing health is imaged and visualized through a computer based on a Windows platform and then transmitted back to a touch display module of the sound pickup device;
the lung sound characteristic frequency spectrogram and the oscillogram are realized by digital signals acquired by a computer of a Windows platform and by applying MATLAB signal processing toolbox programming, and comprise time domain analysis (acquiring lung sound waveforms), energy spectrum analysis (performing power spectrum analysis by adopting FFT), time-varying spectrum analysis, alveolar breath sound, tracheal sound, wheezing sound and wheezing sound analysis, and homomorphic processing analysis is performed through acquired related data;
the lung sound characteristic frequency spectrogram and the oscillogram obtained through the analysis can be wirelessly transmitted to a touch control display module of the sound pickup device to be displayed in real time, so that the auscultation of the lung sound can be made to depend on pure sound, the analysis and judgment can be carried out through corresponding real-vision graphs, and the method has great significance in the teaching and auscultation processes;
the 3D spectrogram, the diagnosis index table and the diagnosis result analysis can also be counted, analyzed and compared depending on the powerful analysis and calculation capacity of a Windows platform computer, and then are transmitted back to the touch display module of the sound pickup device for real-time display.
The remote lung sound monitoring device is converted into a digital stethoscope by combining the analysis and calculation capacity of the computer platform, and data analyzed by the computer platform can be displayed in real time through the touch display screen.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims (10)

1. The utility model provides a long-range lung sound monitoring devices which characterized in that: the sound pickup device is integrally formed and comprises a lung sound collecting part, an intelligent control part and a function operating part, wherein the lung sound collecting part is provided with a plurality of acquisition modules which are arranged in a specification, a signal processing module, a data transmission module, a data storage module and a power module are integrally arranged in the intelligent control part and connected with the acquisition modules, the signal processing module is used for sequentially amplifying, converting, analyzing and identifying signals and then conveying the signals, and the function operating part is a touch display module and a function switch; the listening device comprises a functional shell and an input earplug, wherein a data receiving module, a volume control module and a noise reduction module are arranged in the functional shell, and sound signals are transmitted to the input earplug.
2. The remote lung sound monitoring device of claim 1, wherein: the lung sound collecting part is designed by adopting a matrix type collecting module, the collecting module is connected with a signal processing module, and the signal processing module integrates an amplifying circuit, a digital-to-analog conversion circuit and a filter circuit and is simultaneously connected with a core processor;
the core processor is respectively connected with the data transmission module, the data storage module and the power supply module and is simultaneously controlled by the touch display module of the functional operation part;
the remote lung sound monitoring device also comprises a lung sound analysis computer, wherein the lung sound analysis computer realizes signal transmission with the sound pickup device and the listening device through a wireless network, and the lung sound analysis computer comprises a lung sound characteristic frequency spectrogram, a oscillogram, a 3D frequency spectrogram, a diagnosis index table and diagnosis result analysis; the obtained breathing health is imaged and visualized through a computer based on a Windows platform and then transmitted back to a touch display module of the sound pickup device;
and analyzing the lung sound characteristic spectrogram, the oscillogram, the 3D spectrogram, the diagnosis index table and the diagnosis result by an algorithm through a Windows platform computer.
3. The remote lung sound monitoring device of claim 1, wherein: a functional switch is installed on a shell of the intelligent control part, and a touch display module is installed at the upper end of the intelligent control part in an embedded mode;
a power supply is arranged in a functional shell of the listening device and is connected with each module, and a signal lamp and a power switch are arranged on the functional shell.
4. The remote lung sound monitoring device of claim 1, wherein: the accommodating box body comprises a cavity box body and a buckled box cover connected through a damping rotating shaft;
the cavity box body is divided into two cavities, a pickup device and a listening device are respectively placed in the two cavities, and ultraviolet disinfection lamps are arranged on the cavity box body and the box cover.
5. A lung sound monitoring system of a remote lung sound monitoring device according to any one of claims 1-4, wherein:
the lung sound monitoring system includes:
an acquisition module: the system is used for collecting a lung sound initial detection signal and a lung sound environment sound signal;
the signal processing module: the signal acquisition module is used for amplifying, converting, analyzing and identifying the signal acquired by the acquisition module for further transmission;
the data transmission module and the data receiving module: the sound pickup device is used for realizing the transmission of signals and instructions between the sound pickup device and the listening device;
a data storage module: the lung sound signal acquisition and processing device is used for storing the acquired and signal-processed lung sound signals for timely deployment by an operator;
a volume control module: the lung sound volume control device is used for controlling the lung sound signal volume output by the listening device;
a noise reduction module: for reducing noise output by the listening device;
the touch display module: for controlling and implementing the respective functional operations.
6. The lung sound monitoring system of the remote lung sound monitoring device of claim 5, wherein:
in the lung sound monitoring system of the remote lung sound monitoring device, the lung sound signals collected by the collection module are superposed with interference signals of heart sound, muscle and skin noise and are input into the signal processing module, the lung sound signals are transmitted to the core processor after passing through the integrated amplification circuit, the digital-to-analog conversion circuit and the filter circuit, and the lung sound signals are obtained after feature extraction, analysis and identification are carried out by the core processor; the lung sound signals are synchronously transmitted to the data storage module and the data transmission module for data transmission;
the data transmission module transmits the lung sound signal to the data receiving module of the listening device, and then the lung sound signal is output to a stethoscope through the volume control module and the noise reduction module.
7. The lung sound monitoring system of the remote lung sound monitoring device of claim 5, wherein:
the data transmission module and the data receiving module are a Bluetooth module, a wireless transmission module, a 4G data transmission module or a cloud data module;
the data storage module is a cloud database or a built-in storage module.
8. The lung sound monitoring method of the lung sound monitoring system according to claim 5, wherein:
the lung sound monitoring method of the remote lung sound monitoring system comprises the following steps:
step 1: remote lung sound monitoring device opening
The remote lung sound monitoring device is turned on by operating a function switch of the function part, the touch display module is lightened after the remote lung sound monitoring device is turned on, the lung sound monitoring device enters a standby state, and a corresponding mode is selected through the touch display module;
step 2: lung sound collection for remote lung sound monitoring
A lung sound collecting part of the pickup device collects a lung sound initial examination signal and a lung sound environment sound signal through a collecting module and transmits the signals to a signal processing module;
and step 3: amplification, transformation, analysis and identification of lung sound signals
The lung sound signal is amplified by adopting an integrated amplifying circuit, a digital-to-analog conversion circuit and a filter circuit, and the lung sound signal is subjected to time-frequency analysis, wavelet analysis and bispectrum analysis through a core processor;
and 4, step 4: storage and transmission of lung sound signals
The lung sound signals processed by the signal processing module are stored in the data storage module and the data transmission module, the data storage module and the data transmission module are carried out in real time, and meanwhile, the lung sound signals are received by the data receiving module;
and 5: lung sound signal output
The lung sound signals received by the data receiving module are transmitted to the auscultator by the listening device.
9. The lung sound monitoring method of the remote lung sound monitoring system according to claim 8, wherein: and 3, analyzing and identifying the lung sound signals, wherein the criterion of separability of the lung sound signal categories meets the following requirements:
1) monotonic relationship to error probability
2) When the features are independent, there is an additive property, i.e.
Figure FSA0000214333460000041
Here JijIs a function of the separability criteria of class i and class JijThe separation degree of the two types of Shu Da, chi1,χ2,...,χdIs a random variable of the corresponding characteristic of a certain category;
3) monotonicity, i.e. when adding a new feature, the criterion is not reduced:
Jij1,χ2,...,χd)≤Jij1,χ2,...,χd,χd+1)
order to
Figure FSA0000214333460000051
Are respectively omegaiClass and omegajThe D-dimensional feature vector in the class,
Figure FSA0000214333460000052
the distance between these two vectors is the average distance between the feature vectors of each type:
Figure FSA0000214333460000053
wherein c is the number of classes, n is the number of samples in omega class, njIs omegajNumber of class-type samples, Pi,PjIs the prior probability of the corresponding class;
the Euclidean distance is adopted between two vectors in the multidimensional space:
Figure FSA0000214333460000054
the time-frequency analysis of the lung sound can display the time-domain waveform and the time-frequency distribution condition of the lung sound signal, and the frequency of the lung sound signal is mainly concentrated in a low frequency band and is about 100Hz or less;
and the wavelet analysis selects different wavelets to decompose the lung sound signals in different scales, and extracts energy characteristic parameters of different frequency bands.
10. The lung sound monitoring method of the remote lung sound monitoring system according to claim 8, wherein: the lung sound monitoring mode of the lung sound monitoring method is divided into an auscultation mode and a simulation training mode.
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