CN213606462U - Intelligent auscultation system - Google Patents
Intelligent auscultation system Download PDFInfo
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- CN213606462U CN213606462U CN202020989029.8U CN202020989029U CN213606462U CN 213606462 U CN213606462 U CN 213606462U CN 202020989029 U CN202020989029 U CN 202020989029U CN 213606462 U CN213606462 U CN 213606462U
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Abstract
The utility model relates to an intelligence auscultation system for solve medical personnel and use multiple auscultation instrument to diagnose study with high costs, the technical problem that work efficiency is low. The intelligent auscultation system comprises an auscultation data acquisition module, a data processing module and a data distribution module; the auscultation data acquisition module comprises a universal interface used for being connected with various electronic stethoscopes, and is connected with the data processing module, and the data processing module is connected with the data distribution module; the data processing module is used for analyzing and processing the auscultation data acquired by the auscultation data acquisition module based on the big data, and the auscultation data comprises audio data acquired by the electronic stethoscope and identity information of the patient; and the appointed user can access the data processing result through the data distribution module.
Description
Technical Field
The utility model relates to an internet medical technology field specifically relates to an intelligence auscultation system.
Background
The stethoscope is an indispensable diagnosis and treatment appliance in the medical field, and medical personnel often need to judge whether the relevant internal organs of a patient have pathological changes through work such as auscultation. The traditional stethoscope is suitable for the face-to-face scene of medical staff and patients, and the two inevitably need to have direct contact on the physical environment, thus greatly limiting the application of the stethoscope.
With the development of internet technology, intelligent medical treatment and remote monitoring gradually enter the lives of people, and the medical condition level of people is continuously improved, for example, various contactless electronic stethoscopes are generated. However, the use of a contactless electronic stethoscope still requires medical personnel to perform the diagnosis on site. During epidemic situations, medical staff need to monitor whether the internal organs of a patient are infected or not and whether the internal organs of the patient are diseased or not in a frequent auscultation mode, so that the medical staff have a large risk of cross infection. In addition, managing and using a wide variety of contactless electronic stethoscopes also presents challenges to medical personnel, making it more difficult for such heavy medical tasks, thereby increasing the probability of misdiagnosis.
SUMMERY OF THE UTILITY MODEL
The utility model aims at providing an intelligence auscultation system for solve medical personnel and use multiple auscultation instrument to diagnose the technical problem that study cost is high, work efficiency is low.
In order to achieve the above object, the present disclosure provides an intelligent auscultation system, which includes an auscultation data acquisition module, a data processing module and a data distribution module;
the auscultation data acquisition module comprises a universal interface used for being connected with various electronic stethoscopes, the auscultation data acquisition module is connected with the data processing module, and the data processing module is connected with the data distribution module;
the data processing module is used for analyzing and processing the auscultation data acquired by the auscultation data acquisition module based on big data, and the auscultation data comprises audio data acquired by the electronic stethoscope and identity information of a patient;
and the appointed user accesses the data processing result through the data distribution module.
Optionally, the auscultation data acquisition module includes an audio codec chip, and is configured to convert the audio data into a digital signal.
Optionally, the auscultation data acquisition module includes a wireless communication sub-module, and the auscultation data acquisition module and the data processing module establish communication connection through the wireless communication sub-module.
Optionally, the communication connection mode of the wireless communication sub-module is one of bluetooth, WIFI, ZigBee, 4G, and 5G.
Optionally, the data processing module includes a first processing sub-module and a second processing sub-module connected to the first processing sub-module;
the first processing submodule is used for executing preprocessing operation on the auscultation data, and the second processing submodule is used for analyzing the preprocessed auscultation data based on the big data to obtain diagnosis information.
Optionally, the first processing sub-module includes:
the signal noise reducer is used for denoising the audio signal in the auscultation data;
the signal amplifier is used for performing enhancement processing on the audio signal in the auscultation data;
and the signal separator is used for carrying out sound source component separation processing on the audio signals in the auscultation data.
Optionally, the system further includes a data storage module, and the data storage module is connected to the data processing module and the data distribution module, respectively, and is configured to store the auscultation data and the diagnostic information.
Optionally, the system further includes a data playback module, connected to the data storage module, and configured to play the audio data and display a corresponding waveform.
According to the technical scheme, the intelligent auscultation system comprises an auscultation data acquisition module, a data processing module and a data distribution module. The auscultation data acquisition module comprises a universal interface used for being connected with various electronic stethoscopes, and the data processing module connected with the auscultation data acquisition module is used for analyzing and processing the auscultation data acquired by the auscultation data acquisition module based on big data and sending a data processing result to a designated user through the data distribution module. Therefore, various electronic stethoscopes can be connected into the intelligent auscultation system through the universal interface, so that the medical staff can conveniently manage and use the electronic stethoscopes, and the learning cost of the medical staff for various auscultation tools is saved; the data processing module is adopted to obtain results based on big data analysis of the collected auscultation data, so that the contact chance of medical staff and patients can be reduced, the risk of cross infection is reduced, the workload of the medical staff is reduced, and the efficiency and accuracy of diagnosis work are improved.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure without limiting the disclosure. In the drawings:
FIG. 1 is a block diagram illustrating an intelligent auscultation system according to an exemplary embodiment;
FIG. 2 is a block diagram illustrating another intelligent auscultation system according to an exemplary embodiment.
Detailed Description
The following detailed description of specific embodiments of the present disclosure is provided in connection with the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present disclosure, are given by way of illustration and explanation only, not limitation.
Fig. 1 is a block diagram illustrating an intelligent auscultation system according to an exemplary embodiment, and as shown in fig. 1, the intelligent auscultation system 10 includes an auscultation data collection module 11, a data processing module 12, and a data distribution module 13. The auscultation data acquisition module 11 is connected with the data processing module 12, and the data processing module 12 is connected with the data distribution module 13. The auscultation data acquisition module 11 comprises a universal interface 111, the universal interface 111 is used for being connected with various electronic stethoscopes, the number of the electronic stethoscopes can be single or multiple, and the data processing module 12 is used for analyzing and processing the auscultation data acquired by the auscultation data acquisition module 11 based on big data.
Illustratively, auscultation data includes audio data collected by an electronic stethoscope and other means of collected patient identity information. For example, the audio data may be heart sounds with a frequency range of 0-600 Hz, bowel sounds with a frequency range of 0-1500 Hz, lung sounds with a frequency range of 100-1500 Hz, respiratory sounds, environmental noises, etc., and the identity information of the patient includes information such as age, sex, past medical history, etc. of the patient. The auscultation data can be scientifically and accurately analyzed and processed by combining the audio data of the visceral organs, the illness state general of the patient and massive case data, and the reliability of the obtained data processing result is high.
Specifically, the auscultation data acquisition module 11 includes an audio codec chip, and the audio codec chip has an audio signal analog-to-digital conversion function, and is configured to convert the acquired audio data into a digital signal, and encapsulate the encoded data in a common audio file format (e.g., WAV, MP3 format). The auscultation data acquisition module 11 further comprises a wireless communication submodule, the auscultation data acquisition module 11 and the data processing module 12 are in communication connection through the wireless communication submodule, and the communication connection mode of the wireless communication submodule is one of Bluetooth, WIFI, ZigBee, 4G and 5G. The packaged WAV file or MP3 file is transmitted to the data processing module 12 via any of the wireless communication means described above.
In one possible embodiment, the data processing module 12 includes a first processing submodule and a second processing submodule connected to the first processing submodule. The first processing submodule is used for executing preprocessing operation on the auscultation data, and the second processing submodule is used for analyzing the preprocessed auscultation data based on the big data to obtain diagnosis information. Illustratively, the first processing sub-module includes a signal noise reducer, a signal amplifier and a signal separator, that is, the first processing sub-module can be used to perform preprocessing operations such as noise reduction, enhancement and source component separation on the audio signal in the auscultation data. Specifically, the threshold of the wavelet filtering method can be determined according to the frequency domain difference and the intensity difference of the voice noise and various dirty sounds, and the voice noise possibly mixed in the audio data acquisition process can be suppressed by adopting the wavelet threshold filtering method, so that the signal denoising effect is achieved; the power amplification can be carried out on the audio data to realize the effect of signal enhancement; the different source components in the audio signal can be separated by a signal separation algorithm, for example, separation of heart sounds from breath sounds. In the embodiment of the disclosure, the preprocessing operation steps executed by the first processing submodule are determined according to the type of the accessed electronic stethoscope, and the artificial intelligence or heuristic algorithm type adopted by the second processing submodule is determined so as to analyze and diagnose the illness state of the patient. Therefore, accurate and effective audio data can be obtained through signal impurity removal, the focus position can be accurately screened by combining a multivariate analysis algorithm, reliable diagnosis information can be obtained, a designated user can access the diagnosis information through the data distribution module 13, the data distribution module 13 can be realized in the form of application software, and can also be realized through a website or a WeChat applet, and the embodiment is not limited thereto.
By adopting the system, various electronic stethoscopes can be connected into the intelligent auscultation system through the universal interface, so that the medical staff can conveniently manage and use the system, and the learning cost of the medical staff for various auscultation tools is saved; the data processing module is adopted to obtain results based on big data analysis of the collected auscultation data, so that the contact chance of medical staff and patients can be reduced, the risk of cross infection is reduced, the workload of the medical staff is reduced, and the efficiency and accuracy of diagnosis work are improved.
Fig. 2 is a block diagram illustrating another intelligent auscultation system according to an exemplary embodiment, as shown in fig. 2, and based on fig. 1, the intelligent auscultation system further includes a data storage module 14. Specifically, the data storage module 14 is connected to the data processing module 12 and the data distribution module 13, respectively. Auscultation data of a patient 20 is collected through the auscultation data collecting module 11, the auscultation data received by the data processing module 12 can be stored in the data storage module 14 for backup, diagnosis information obtained by analyzing and processing the auscultation data through the data processing module 12 is also stored in the data storage module 14, and a specified user can access the diagnosis information through the data distributing module 13. The designated user may be a medical staff 21 or a patient 20. When the designated person is a patient 20, the diagnostic information may be accessed through the data distribution module 13; when the designated person is a medical person 21, auscultation data of the patient 20 and diagnostic information analyzed by the data processing module are accessible through the data distribution module 13.
Optionally, the system further includes a data playback module 15, and the data playback module 15 is connected to the data storage module 14, and is configured to play audio data in the auscultation data and display corresponding waveforms when the medical staff 21 accesses the auscultation data and the diagnosis information, so that the medical staff visually analyzes the illness state of the patient to obtain a final diagnosis result. If the diagnosis result is not consistent with the diagnosis result represented by the diagnosis information, the diagnosis information in the data storage module 14 is updated in time based on the final diagnosis result, so that the patient 20 can access the diagnosis information conveniently.
By adopting the system, convenient management and use of various electronic stethoscopes and background intelligent processing of various auscultation data can be realized. The data storage module is arranged, so that the auscultation can be carried out while the diagnosis is carried out, and the options of first listening and then diagnosis are added, so that the auscultation process of the medical staff 21 is more flexible. Medical personnel just can accomplish the auscultation through data distribution module access network data, observe the wave form through data playback module and analyze the patient's state of an illness, improved medical personnel's remote diagnosis's convenience, accuracy. The intelligent auscultation system provided by the disclosure has the characteristics of no time and no region limitation, combines big data analysis, surpasses the auscultation of traditional significance, and has a certain application prospect in the medical field.
The preferred embodiments of the present disclosure are described in detail with reference to the accompanying drawings, however, the present disclosure is not limited to the specific details of the above embodiments, and various simple modifications may be made to the technical solution of the present disclosure within the technical idea of the present disclosure, and these simple modifications all belong to the protection scope of the present disclosure.
It should be noted that the various features described in the above embodiments may be combined in any suitable manner without departing from the scope of the invention. In order to avoid unnecessary repetition, various possible combinations will not be separately described in this disclosure.
In addition, any combination of various embodiments of the present disclosure may be made, and the same should be considered as the disclosure of the present disclosure, as long as it does not depart from the spirit of the present disclosure.
Claims (8)
1. An intelligent auscultation system is characterized by comprising an auscultation data acquisition module, a data processing module and a data distribution module;
the auscultation data acquisition module comprises a universal interface used for being connected with various electronic stethoscopes, the auscultation data acquisition module is connected with the data processing module, and the data processing module is connected with the data distribution module;
the data processing module is used for analyzing and processing the auscultation data acquired by the auscultation data acquisition module based on big data, and the auscultation data comprises audio data acquired by the electronic stethoscope and identity information of a patient;
and the appointed user accesses the data processing result through the data distribution module.
2. The system of claim 1, wherein the auscultation data acquisition module comprises an audio codec chip for converting the audio data into a digital signal.
3. The system of claim 2, wherein the auscultation data collection module comprises a wireless communication sub-module, and the auscultation data collection module and the data processing module are in communication connection through the wireless communication sub-module.
4. The system of claim 3, wherein the communication connection mode of the wireless communication sub-module is one of Bluetooth, WIFI, ZigBee, 4G and 5G.
5. The system of claim 1, wherein the data processing module comprises a first processing sub-module, and a second processing sub-module connected to the first processing sub-module;
the first processing submodule is used for executing preprocessing operation on the auscultation data, and the second processing submodule is used for analyzing the preprocessed auscultation data based on the big data to obtain diagnosis information.
6. The system of claim 5, wherein the first processing submodule comprises:
the signal noise reducer is used for denoising the audio signal in the auscultation data;
the signal amplifier is used for performing enhancement processing on the audio signal in the auscultation data;
and the signal separator is used for carrying out sound source component separation processing on the audio signals in the auscultation data.
7. The system of claim 5 or 6, further comprising a data storage module, wherein the data storage module is connected to the data processing module and the data distribution module, respectively, for storing the auscultation data and the diagnosis information.
8. The system of claim 7, further comprising a data playback module coupled to the data storage module for playing the audio data and presenting a corresponding waveform.
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