CN117357094A - Respiratory state verification system using sound intensity and carbon dioxide detection - Google Patents
Respiratory state verification system using sound intensity and carbon dioxide detection Download PDFInfo
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- 239000001569 carbon dioxide Substances 0.000 title claims abstract description 108
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Classifications
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
- A61B5/082—Evaluation by breath analysis, e.g. determination of the chemical composition of exhaled breath
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
- A61B5/083—Measuring rate of metabolism by using breath test, e.g. measuring rate of oxygen consumption
- A61B5/0836—Measuring rate of CO2 production
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7203—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
Abstract
The invention provides a respiratory state verification system applying sound intensity and carbon dioxide detection, comprising: the sound collection module is used for collecting sound information of a user; a gas collection module for collecting exhaled gas of a user; the intensity detection module is used for detecting the sound intensity corresponding to the sound information; the concentration detection module is used for detecting the concentration of carbon dioxide in the exhaled gas; a state determination module for determining a respiration state of the user by analyzing the sound intensity and the carbon dioxide concentration; and the verification module is used for matching the breathing state of the user with data in a preset breathing state library, and obtaining a verification result corresponding to the breathing state according to the matching result. The method and the device realize the verification of the breathing state of the user conveniently and ensure the accuracy of the verification result, further make corresponding measures matched with the current breathing state according to the verification result, prevent various health problems caused by abnormal breathing as far as possible, and further ensure the technical effect of the physical health of the user.
Description
Technical Field
The invention relates to the technical field of breath detection, in particular to a breath state verification system applying sound intensity and carbon dioxide detection.
Background
Respiration is one of the most basic physiological processes of the human body, plays a vital role in the whole body system, and abnormal respiration states can cause a plurality of health problems, for example, abnormal respiration can cause heart diseases, hypertension and other health problems, thereby affecting various functions of the body and increasing disease risks; breathing abnormalities that may affect sleep quality, such as sleep apnea syndrome (Sleep Apnea Syndrome) is a common obstructive sleep disorder; breathing abnormalities can affect cognitive and brain functions, resulting in problems such as hypomnesis, difficulty in concentrating attention, etc.; respiratory abnormalities can cause emotional and psychological health problems such as anxiety, depression, and stress.
Therefore, along with the development of science and technology and the improvement of living standard, in order to prevent various health problems caused by abnormal breathing as much as possible and ensure the health of the individual, the requirements of people for verifying the breathing state of the individual are gradually increased, for example, in the fields of infant monitoring, medical auxiliary diagnosis, daily health care, special industrial and mining coal exploitation and the like have a great deal of requirements for verifying the breathing state of the individual.
The verification of the self-respiration state plays an important role in the health state monitoring of indoor personnel and the auxiliary diagnosis of respiratory system related diseases. The existing breath state verification methods can be mainly classified into breath state verification based on sound and breath state verification based on wearable equipment.
However, the breath state verification based on sound is single, and the accuracy of the verification result cannot be ensured, so that the respiratory disease cannot be prevented in time; the breathing state verification based on the wearable device requires the user to wear the device equipped with the special sensor for a long time, which may cause inconvenience to daily life.
Therefore, how to conveniently verify the breathing state of the user and ensure the accuracy of the verification result, and then make corresponding measures matched with the current breathing state according to the verification result, so as to prevent various health problems caused by abnormal breathing as much as possible, further ensure the physical health of the user, and the method is one of the problems to be solved in the technical field of breathing detection.
Disclosure of Invention
The present invention aims to solve at least some of the technical problems in the above-described technology. Therefore, the invention aims to provide a respiratory state verification system applying sound intensity and carbon dioxide detection, which detects the intensity of the collected sound of a user, detects the concentration of carbon dioxide in the collected exhaled air of the user, determines the respiratory state of the user according to the intensity detection result and the concentration detection result and verifies the respiratory state, thereby conveniently verifying the respiratory state of the user, ensuring the accuracy of the verification result, further making corresponding measures matched with the current respiratory state according to the verification result, preventing various health problems caused by abnormal breathing as far as possible, and further ensuring the physical health of the user.
The invention provides a respiratory state verification system using sound intensity and carbon dioxide detection, comprising:
the sound collection module is used for collecting sound information of a user;
a gas collection module for collecting exhaled gas of a user;
the intensity detection module is used for detecting the sound intensity corresponding to the sound information;
the concentration detection module is used for detecting the concentration of carbon dioxide in the exhaled gas;
a state determination module for determining a respiration state of the user by analyzing the sound intensity and the carbon dioxide concentration;
and the verification module is used for matching the breathing state of the user with data in a preset breathing state library, and obtaining a verification result corresponding to the breathing state according to the matching result.
Preferably, the respiratory state verification system using sound intensity and carbon dioxide detection, the intensity detection module comprises:
the sound denoising sub-module is used for denoising the sound information of the user to obtain denoised sound information;
a first determination sub-module for detecting a first sound intensity of the denoising sound information by the sound intensity sensor;
the frequency acquisition sub-module is used for acquiring the sound frequency of the denoising sound information by using the spectrum analyzer;
The distance acquisition sub-module is used for acquiring a distance value between the sound source and the sound acquisition module by using a distance sensor;
the attenuation value acquisition submodule is used for determining a sound intensity attenuation value according to the sound frequency, the distance value, the environment temperature value and the environment humidity value;
and the second determining submodule is used for adding the first sound intensity and the sound intensity attenuation value to obtain the sound intensity of the sound source corresponding to the sound information.
Preferably, the respiratory state verification system using sound intensity and carbon dioxide detection, the sound denoising submodule, comprises:
the original amplitude obtaining sub-module is used for obtaining the original amplitude of each sound signal included in the sound information of the user;
the conversion amplitude obtaining sub-module is used for multiplying the initial amplitude of the sound signal with a preset amplitude coefficient to obtain a conversion amplitude;
the fitting amplitude determining submodule is used for taking the conversion amplitude corresponding to each sound signal as a data point, performing curve fitting by using a least square method to obtain a corresponding amplitude fitting trend curve, and determining the fitting amplitude corresponding to each sound signal according to the amplitude fitting trend curve;
the signal dividing sub-module is used for obtaining a plurality of maximum values and minimum values in the amplitude fitting trend curve, dividing the sound signals between every two adjacent extreme values into a sound signal set, and obtaining a plurality of sound signal sets after dividing;
A type determination submodule for:
selecting any sound signal set as a sound signal set to be processed, and selecting any sound signal in the sound signal set to be processed as a sound signal to be processed;
acquiring an absolute value of a difference value between a conversion amplitude and a fitting amplitude of a sound signal to be processed;
obtaining the ratio of the absolute value to the conversion amplitude of the sound signal to be processed, and multiplying the ratio by a preset type judgment coefficient to obtain a type judgment value corresponding to the sound signal to be processed;
when the type judgment value is larger than a preset judgment threshold value, determining the sound signal to be processed as a noise signal; when the type judgment value is smaller than or equal to a preset judgment threshold value, determining that the sound signal to be processed is a non-noise signal;
the signal noise reduction submodule is used for:
when the sound signal to be processed is a noise signal, acquiring phase information of the sound signal to be processed;
acquiring a time-frequency domain sound signal corresponding to the sound signal to be processed by utilizing the conversion amplitude and the phase information of the sound signal to be processed;
performing short-time inverse Fourier transform on the time-frequency domain sound signals to obtain corresponding noise reduction sound signals;
all the sound signals in all the sound signal sets are subjected to the above operation, and noise reduction sound signals corresponding to each noise signal are obtained;
And forming denoising sound information according to all the denoising sound signals and the non-noise signals.
Preferably, the respiratory state verification system using sound intensity and carbon dioxide detection, the attenuation value obtaining sub-module includes:
the first acquisition submodule is used for obtaining a first attenuation index according to the distance value and a preset first attenuation formula;
a second acquisition sub-module for:
acquiring a humidity value of the current environment;
obtaining a second attenuation index according to the humidity value, the distance value, the sound frequency and a preset second attenuation formula;
a third obtaining sub-module, configured to:
acquiring a current environmental temperature value;
obtaining a third attenuation index according to the temperature value, the second attenuation index, the sound frequency and a preset third attenuation formula;
the attenuation value determining submodule is used for adding the first attenuation index, the second attenuation index and the third attenuation index to obtain an attenuation index sum, calculating the attenuation index sum and a preset additional attenuation value sum value, and determining the sum value as a sound intensity attenuation value.
Preferably, the respiratory state verification system using sound intensity and carbon dioxide detection, the second acquisition sub-module includes:
the initial humidity value acquisition sub-module is used for acquiring an initial humidity value of the current environment by using a first preset humidity sensor placed at the central position of the current environment area;
A first humidity value obtaining sub-module, configured to:
substituting the current environment temperature value into a preset saturation quantity calculation formula to obtain the air steam saturation quantity corresponding to the current environment;
substituting the current ambient air steam saturation amount into a preset steam amount calculation formula to obtain the current ambient air steam amount;
taking the ratio of the air steam quantity and the air steam saturation quantity as a first humidity value of the current environment;
the image acquisition sub-module is used for acquiring an environment image of the current environment where the system is positioned;
the image noise reduction sub-module is used for carrying out Laplace filtering on the environment image to obtain a noise reduction environment image;
a region segmentation sub-module for:
based on the size of the noise reduction environment image, carrying out gridding treatment on the noise reduction environment image to obtain a grid environment image;
performing region segmentation on the current environment based on the grid environment image to obtain a plurality of sub-environment regions;
the regional humidity value acquisition sub-module is used for detecting humidity at four corners and the center position of each sub-environment region by using a second preset humidity sensor group, taking the average value of the humidity detection values at the four corners and the center position as the regional humidity value of the sub-environment region, and performing the above operation on all the sub-environment regions to acquire the regional humidity value corresponding to each sub-environment region;
The second humidity value acquisition sub-module is used for summing all the regional humidity values and calculating a corresponding regional humidity average value, and taking the regional humidity average value as a second humidity value of the current environment;
the environment humidity value acquisition sub-module is used for calculating an average value of the initial humidity value, the first humidity value and the second humidity value, and taking the average value as the humidity value of the current environment;
the calculating sub-module is used for obtaining a second attenuation index according to the humidity value, the sound frequency and a preset second attenuation formula.
Preferably, the concentration detection module comprises a carbon dioxide concentration sensor, using a respiratory status verification system for sound intensity and carbon dioxide detection.
Preferably, the respiratory state verification system using sound intensity and carbon dioxide detection, the state determination module comprises:
an analysis sub-module for:
comparing the sound intensity of the sound source corresponding to the sound information with a preset sound intensity threshold value to obtain a first comparison result, and determining a sound intensity analysis result based on the first comparison result;
comparing the carbon dioxide concentration with a preset concentration threshold value to obtain a second comparison result, and determining a carbon dioxide concentration analysis result based on the second comparison result;
And the determining submodule is used for determining the breathing state of the user based on the sound intensity analysis result and the carbon dioxide concentration analysis result.
Preferably, the breath state verification system using sound intensity and carbon dioxide detection, the analysis sub-module, comprises:
a first determination submodule for:
comparing the relation between the sound intensity of the sound source and a preset sound intensity threshold value;
when the sound intensity of the sound source is smaller than a preset sound intensity threshold value, determining that the sound intensity analysis result is abnormal sound intensity of the user;
when the sound intensity of the sound source is greater than or equal to a preset sound intensity threshold value, determining that the sound intensity analysis result is that the sound intensity of the user is normal;
a second determination submodule for:
comparing the relation between the carbon dioxide concentration and the first preset concentration threshold value and the second preset concentration threshold value; wherein the second preset concentration threshold is greater than the first preset concentration threshold;
when the carbon dioxide concentration is smaller than a first preset concentration threshold value, determining that the carbon dioxide concentration analysis result is that the carbon dioxide concentration in the exhaled gas of the user is the first abnormality;
when the carbon dioxide concentration is greater than or equal to a first preset concentration threshold value and less than or equal to a second preset concentration threshold value, determining that the carbon dioxide concentration analysis result is that the carbon dioxide concentration in the exhaled gas of the user is normal;
And when the carbon dioxide concentration is greater than a second preset concentration threshold, determining that the carbon dioxide concentration in the exhaled gas of the user is the second abnormality as a result of the carbon dioxide concentration analysis.
Preferably, the respiratory state verification system using sound intensity and carbon dioxide detection, the verification module comprises:
the data determination submodule is used for matching the breathing state with the breathing state data in the preset breathing state library one by one and determining target breathing state data successfully matched with the breathing state;
the state type determining submodule is used for determining a breathing state type corresponding to the target breathing state data;
a verification result determination sub-module for:
when the breathing state type corresponding to the target breathing state data is a normal breathing state, determining that the verification result of the breathing state is the normal breathing state;
when the breathing state type corresponding to the target breathing state data is a low abnormal breathing state, determining that the verification result of the breathing state is the low abnormal breathing state;
when the breathing state type corresponding to the target breathing state data is the high abnormal breathing state, determining that the verification result of the breathing state is the high abnormal breathing state.
Preferably, the respiratory status verification system using sound intensity and carbon dioxide detection further comprises:
The result receiving module is used for receiving a verification result corresponding to the breathing state;
an alarm module for:
when the verification result is in a low abnormal breathing state, the system indicator lights are lighted yellow, and low abnormal alarm information is sent to the outside;
when the verification result is in a high abnormal breathing state, the system indicator light is lightened red, and high abnormal alarm information is sent to the outside.
The present invention provides a respiratory state verification system using sound intensity and carbon dioxide detection, comprising: the sound collection module is used for collecting sound information of a user; a gas collection module for collecting exhaled gas of a user; the intensity detection module is used for detecting the sound intensity corresponding to the sound information; the concentration detection module is used for detecting the concentration of carbon dioxide in the exhaled gas; a state determination module for determining a respiration state of the user by analyzing the sound intensity and the carbon dioxide concentration; the verification module is used for matching the breathing state of the user with data in a preset breathing state library, and obtaining a verification result corresponding to the breathing state according to the matching result, so that the breathing state of the user is conveniently verified, the accuracy of the verification result can be ensured, corresponding measures matched with the current breathing state are further made according to the verification result, various health problems caused by abnormal breathing are prevented as much as possible, and the healthy technical effect of the user is further ensured.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objects and other advantages of the invention may be realized and obtained by means of the instrumentalities and combinations particularly pointed out hereinafter.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a block diagram of a respiratory state verification system employing sound intensity and carbon dioxide detection in an embodiment of the present invention;
FIG. 2 is a block diagram of an alternative intensity detection sub-module in an embodiment of the invention;
FIG. 3 is a block diagram of an alternative sound denoising sub-module according to an embodiment of the present invention;
fig. 4 is a block diagram of an optional second acquisition sub-module in an embodiment of the invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
Referring to fig. 1, an embodiment of the present invention provides a respiratory status verification system using sound intensity and carbon dioxide detection, comprising:
the sound collection module 10 is used for collecting sound information of a user;
a gas collection module 20 for collecting exhaled gas from a user;
an intensity detection module 30, configured to detect an intensity of sound corresponding to the sound information;
a concentration detection module 40 for detecting the concentration of carbon dioxide in the exhaled gas;
a state determination module 50 for determining a respiration state of the user by analyzing the sound intensity and the carbon dioxide concentration;
the verification module 60 is configured to match the breathing state of the user with data in a preset breathing state library, and obtain a verification result corresponding to the breathing state according to the matching result.
In this embodiment, the voice information of the user may be collected with a microphone set in advance in the system.
In this embodiment, the exhaled air of the user may be collected with a gas sampler.
The technical principle and the technical effect of the technical scheme are as follows: collecting voice information of a user; collecting exhaled air from a user; detecting sound intensity corresponding to the sound information; detecting the concentration of carbon dioxide in the exhaled gas; determining a respiration state of the user by analyzing the sound intensity and the carbon dioxide concentration; the breathing state of the user is matched with data in a preset breathing state library, and a verification result corresponding to the breathing state is obtained according to the matching result, so that the breathing state of the user is conveniently verified, the accuracy of the verification result can be ensured, corresponding measures matched with the current breathing state are further made according to the verification result, various health problems caused by abnormal breathing are prevented as much as possible, and the healthy technical effect of the user is further ensured.
Referring to fig. 2, an embodiment of the present invention provides a respiratory state verification system using sound intensity and carbon dioxide detection, an intensity detection module comprising:
the voice denoising submodule 301 is used for denoising voice information of a user to obtain denoised voice information;
a first determination sub-module 302 for detecting a first sound intensity of the de-noised sound information by a sound intensity sensor;
a frequency acquisition sub-module 303, configured to acquire a sound frequency of the denoising sound information using a spectrum analyzer;
a distance acquisition sub-module 304, configured to acquire a distance value between the sound source and the sound acquisition module by using a distance sensor;
an attenuation value acquisition sub-module 305 for determining a sound intensity attenuation value from the sound frequency, the distance value, the ambient temperature value and the ambient humidity value;
the second determining sub-module 306 is configured to add the first sound intensity to the sound intensity attenuation value to obtain the sound intensity of the sound source corresponding to the sound information.
The technical principle and the technical effect of the technical scheme are as follows: denoising the voice information of the user to obtain denoised voice information; detecting a first sound intensity of the denoised sound information by a sound intensity sensor; acquiring the sound frequency of the denoising sound information by using a spectrum analyzer; acquiring a distance value between a sound source and a sound acquisition module by using a distance sensor; determining a sound intensity attenuation value according to the sound frequency, the distance value, the ambient temperature value and the ambient humidity value; and adding the first sound intensity and the sound intensity attenuation value to obtain the sound intensity of the sound source corresponding to the sound information. The method and the device have the advantages that the environmental noise in the sound information is removed through denoising the sound information, the sound quality is improved, the sound intensity of the sound information acquired by the sound acquisition module is accurately acquired, and then the technical effect of accurately determining the sound intensity of the sound source according to the sound intensity and the sound attenuation value determined through a plurality of parameters is achieved.
Referring to fig. 3, an embodiment of the present invention provides a respiratory status verification system using sound intensity and carbon dioxide detection, a sound denoising submodule, including:
an original amplitude obtaining submodule 3011, configured to obtain an original amplitude of each sound signal included in the sound information of the user;
the conversion amplitude value obtaining submodule 3012 is used for multiplying the initial amplitude value of the sound signal with a preset amplitude value coefficient to obtain a conversion amplitude value;
the fitting amplitude determining submodule 3013 is configured to use the conversion amplitude corresponding to each sound signal as a data point, perform curve fitting by using a least square method to obtain a corresponding amplitude fitting trend curve, and determine a fitting amplitude corresponding to each sound signal according to the amplitude fitting trend curve;
the signal dividing submodule 3014 is used for obtaining a plurality of maximum values and minimum values in the amplitude fitting trend curve, dividing the sound signals between every two adjacent extreme values into a sound signal set, and obtaining a plurality of sound signal sets after dividing;
a type determination submodule 3015 for:
selecting any sound signal set as a sound signal set to be processed, and selecting any sound signal in the sound signal set to be processed as a sound signal to be processed;
Acquiring an absolute value of a difference value between a conversion amplitude and a fitting amplitude of a sound signal to be processed;
obtaining the ratio of the absolute value to the conversion amplitude of the sound signal to be processed, and multiplying the ratio by a preset type judgment coefficient to obtain a type judgment value corresponding to the sound signal to be processed;
when the type judgment value is larger than a preset judgment threshold value, determining the sound signal to be processed as a noise signal; when the type judgment value is smaller than or equal to a preset judgment threshold value, determining that the sound signal to be processed is a non-noise signal;
signal noise reduction submodule 3016 for:
when the sound signal to be processed is a noise signal, acquiring phase information of the sound signal to be processed;
acquiring a time-frequency domain sound signal corresponding to the sound signal to be processed by utilizing the conversion amplitude and the phase information of the sound signal to be processed;
performing short-time inverse Fourier transform on the time-frequency domain sound signals to obtain corresponding noise reduction sound signals;
all the sound signals in all the sound signal sets are subjected to the above operation, and noise reduction sound signals corresponding to each noise signal are obtained;
and forming denoising sound information according to all the denoising sound signals and the non-noise signals.
In this embodiment, the original amplitude of the sound signal may be obtained by: the electronic equipment converts the sound signal from a time domain to a time-frequency domain by performing short-time Fourier transform on the sound signal, and obtains amplitude data on each frequency band in the time-frequency domain, namely the original amplitude of the sound signal.
In this embodiment, the preset amplitude coefficient is a value of 1 or less.
In this embodiment, the corresponding value of the converted amplitude value corresponding to each sound signal in the amplitude fitting trend curve is taken as the fitting amplitude value of the sound signal.
In this embodiment, the predetermined type judgment coefficient is a value between 0.8 and 1.2.
In this embodiment, the minimum conversion amplitude value of the conversion amplitudes of all the sound signals is determined, the average fitting amplitude value corresponding to the fitting amplitude values of all the sound signals is determined, and the ratio of the minimum conversion amplitude value to the average fitting amplitude value is calculated, where the product of the ratio and the preset type judgment coefficient is the preset judgment threshold value.
In this embodiment, the phase information of the sound signal to be processed can be acquired by using a frequency meter preset in the system.
In this embodiment, a specific implementation manner of the time-frequency domain sound signal corresponding to the to-be-processed sound signal obtained by using the converted amplitude and phase information of the to-be-processed sound signal may be: when the conversion amplitude and phase information corresponding to a certain sound signal in the time-frequency domain sound signal are completely matched with the sound signal to be processed, determining the signal as the time-frequency domain sound signal corresponding to the sound signal to be processed.
In this embodiment, the time-frequency domain sound signal is subjected to short-time inverse fourier transform, so as to obtain a corresponding noise reduction sound signal by the formula: noise reduction signal=istft (sound signal conversion amplitude×phase information).
The technical principle and the technical effect of the technical scheme are as follows: determining a converted amplitude of the sound signal according to the original amplitude of the sound signal; taking the conversion amplitude corresponding to each sound signal as a data point, performing curve fitting by using a least square method to obtain a corresponding amplitude fitting trend curve, and determining the fitting amplitude corresponding to each sound signal according to the amplitude fitting trend curve; performing signal division on a plurality of sound signal sets according to extremum in the amplitude fitting trend curve; determining the type of each sound signal in the plurality of sound signal sets, and when the sound signal is determined to be a noise signal, acquiring a time-frequency domain sound signal corresponding to the sound signal to be processed according to the conversion amplitude and the phase information of the noise signal; performing short-time inverse Fourier transform on the time-frequency domain sound signals to obtain corresponding noise reduction sound signals; all noise-reduced sound signals and non-noise signals constitute noise-reduced sound information. The noise signal is determined by judging the type of the sound signal, and the noise signal is obtained by carrying out targeted denoising operation on the noise signal, so that the noise in the sound information is removed, the quality of the sound information is improved, and the technical effect of accuracy of the sound intensity detection result is further ensured.
The embodiment of the invention provides a respiratory state verification system applying sound intensity and carbon dioxide detection, and an attenuation value acquisition sub-module, which comprises:
the first acquisition submodule is used for obtaining a first attenuation index according to the distance value and a preset first attenuation formula;
a second acquisition sub-module for:
acquiring a humidity value of the current environment;
obtaining a second attenuation index according to the humidity value, the distance value, the sound frequency and a preset second attenuation formula;
a third obtaining sub-module, configured to:
acquiring a current environmental temperature value;
obtaining a third attenuation index according to the temperature value, the second attenuation index, the sound frequency and a preset third attenuation formula;
the attenuation value determining submodule is used for adding the first attenuation index, the second attenuation index and the third attenuation index to obtain an attenuation index sum, calculating the attenuation index sum and a preset additional attenuation value sum value, and determining the sum value as a sound intensity attenuation value.
In this embodiment, the first attenuation formula is preset as followsWherein K is 1 And d is a distance value, which is a first attenuation index.
In this embodiment, the second attenuation formula is preset to be K 2 ＝(7.4×10 -8 ×f×d)/H，K 2 And f is the frequency, d is the distance value, and H is the humidity value.
In this embodiment, the ambient temperature value may be obtained by a temperature sensor.
In this embodiment, a third attenuation formula is preset to be K 3 ＝K 2 /[1+4×10 -6 ×(T-20)×f]，K 3 And the third attenuation index is that T is a temperature value and f is a frequency.
In this embodiment, the additional attenuation value is preset to (-3) db.
The technical principle and the technical effect of the technical scheme are as follows: obtaining a first attenuation index according to the distance value and a preset first attenuation formula; acquiring a humidity value of the current environment; obtaining a second attenuation index according to the humidity value, the distance value, the sound frequency and a preset second attenuation formula; acquiring a current environmental temperature value; obtaining a third attenuation index according to the temperature value, the second attenuation index, the sound frequency and a preset third attenuation formula; and adding the first attenuation index, the second attenuation index and the third attenuation index to obtain an attenuation index sum, calculating the attenuation index sum and a preset additional attenuation value sum value, and determining the sum value as a sound intensity attenuation value. The method and the device have the advantages that the sound intensity attenuation values are obtained by calculating a plurality of sound intensity attenuation indexes, and the situation that the sound intensity of the sound source is inaccurate in detection caused by the sound intensity attenuation is avoided, so that the technical effect of accuracy of the sound intensity of the obtained sound source is ensured.
Referring to fig. 4, an embodiment of the present invention provides a respiratory status verification system using sound intensity and carbon dioxide detection, a second acquisition sub-module comprising:
An initial humidity value obtaining sub-module 30521, configured to obtain an initial humidity value of a current environment by using a first preset humidity sensor placed at a central position of the current environment area;
a first humidity value acquisition submodule 30522 for:
substituting the current environment temperature value into a preset saturation quantity calculation formula to obtain the air steam saturation quantity corresponding to the current environment;
substituting the current ambient air steam saturation amount into a preset steam amount calculation formula to obtain the current ambient air steam amount;
taking the ratio of the air steam quantity and the air steam saturation quantity as a first humidity value of the current environment;
an image acquisition sub-module 30523, configured to acquire an environmental image of a current environment in which the system is located;
the image noise reduction submodule 30506 is used for carrying out Laplacian filtering on the environment image to obtain a noise reduction environment image;
region segmentation submodule 30225 for:
based on the size of the noise reduction environment image, carrying out gridding treatment on the noise reduction environment image to obtain a grid environment image;
performing region segmentation on the current environment based on the grid environment image to obtain a plurality of sub-environment regions;
the regional humidity value obtaining submodule 30225 is configured to detect humidity at four corners and a center position of each sub-environmental region by using a second preset humidity sensor group, take an average value of humidity detection values at the four corners and the center position as a regional humidity value of the sub-environmental region, and perform the above operations on all the sub-environmental regions to obtain a regional humidity value corresponding to each sub-environmental region;
The second humidity value obtaining submodule 30577 is used for summing all the regional humidity values and calculating a corresponding regional humidity average value, and taking the regional humidity average value as a second humidity value of the current environment;
the environment humidity value obtaining submodule 30528 is used for calculating an average value of the initial humidity value, the first humidity value and the second humidity value, and taking the average value as the humidity value of the current environment;
the calculating submodule 30599 is used for obtaining a second attenuation index according to the humidity value, the distance value, the sound frequency and a preset second attenuation formula.
In this embodiment of the present invention, the process is performed,wherein T is the current ambient temperature value.
In this embodiment, the initial humidity value x the air vapor saturation amount is a preset vapor amount calculation formula.
In this embodiment, an environmental image of the current environment in which the system is located may be acquired by a digital image scanner.
In this embodiment, based on the size of the noise reduction environment image, the meshing processing is performed on the noise reduction environment image, and the specific implementation manner of obtaining the mesh environment image may be: based on the size of the noise reduction environment image, the noise reduction environment image is divided into 9 grid areas of 3*3, and a grid environment image is obtained. When the length or width of the noise reduction environment image is not divisible by 3, the length or width of the last column of the grid is the sum of the quotient and remainder of the length or width divided by 3.
In this embodiment, the specific implementation manner of performing region segmentation on the current environment based on the grid environment image to obtain a plurality of sub-environment regions may be: four vertexes of each grid region in the grid environment image are determined to be boundary points, corresponding points are found in the current environment based on the four boundary points corresponding to each grid region, and region segmentation is carried out on the current environment based on the found points and the grid environment image, so that a plurality of sub-environment regions are obtained.
The technical principle and the technical effect of the technical scheme are as follows: acquiring an initial humidity value of a current environment; substituting the current environment temperature value into a preset saturation quantity calculation formula to obtain the air steam saturation quantity corresponding to the current environment; substituting the current ambient air steam saturation amount into a preset steam amount calculation formula to obtain the current ambient air steam amount; taking the ratio of the air steam quantity and the air steam saturation quantity as a first humidity value of the current environment; collecting an environment image of the current environment where the system is located; performing grid division based on the environment image after noise reduction, determining a region division result of the current environment based on the grid division result, calculating a region humidity value of each region, and determining an average value of all the region humidity values as a second humidity value; and taking the average value of the initial humidity value, the first humidity value and the second humidity value as the humidity value of the current environment. The method and the device have the advantages that the humidity value of the current environment is accurately obtained, so that the accuracy of the sound intensity attenuation value is ensured, and the accuracy of the sound intensity of the sound source is further ensured.
The embodiment of the invention provides a respiratory state verification system applying sound intensity and carbon dioxide detection, wherein a concentration detection module comprises a carbon dioxide concentration sensor.
The embodiment of the invention provides a respiratory state verification system applying sound intensity and carbon dioxide detection, and a state determination module, which comprises:
an analysis sub-module for:
comparing the sound intensity of the sound source corresponding to the sound information with a preset sound intensity threshold value to obtain a first comparison result, and determining a sound intensity analysis result based on the first comparison result;
comparing the carbon dioxide concentration with a preset concentration threshold value to obtain a second comparison result, and determining a carbon dioxide concentration analysis result based on the second comparison result;
and the determining submodule is used for determining the breathing state of the user based on the sound intensity analysis result and the carbon dioxide concentration analysis result.
The technical principle and the technical effect of the technical scheme are as follows: comparing the sound intensity of the sound source corresponding to the sound information with a preset sound intensity threshold value to obtain a first comparison result, and determining a sound intensity analysis result based on the first comparison result; comparing the carbon dioxide concentration with a preset concentration threshold value to obtain a second comparison result, and determining a carbon dioxide concentration analysis result based on the second comparison result; the breathing state of the user is determined based on the sound intensity analysis result and the carbon dioxide concentration analysis result. The technical effect of ensuring accuracy of the breath state analysis result is achieved by comparing the detection result of the sound intensity of the sound source and the carbon dioxide concentration with the corresponding threshold value.
The embodiment of the invention provides a respiratory state verification system applying sound intensity and carbon dioxide detection, an analysis submodule, comprising:
a first determination submodule for:
comparing the relation between the sound intensity of the sound source and a preset sound intensity threshold value;
when the sound intensity of the sound source is smaller than a preset sound intensity threshold value, determining that the sound intensity analysis result is abnormal sound intensity of the user;
when the sound intensity of the sound source is greater than or equal to a preset sound intensity threshold value, determining that the sound intensity analysis result is that the sound intensity of the user is normal;
a second determination submodule for:
comparing the relation between the carbon dioxide concentration and the first preset concentration threshold value and the second preset concentration threshold value; wherein the second preset concentration threshold is greater than the first preset concentration threshold;
when the carbon dioxide concentration is smaller than a first preset concentration threshold value, determining that the carbon dioxide concentration analysis result is that the carbon dioxide concentration in the exhaled gas of the user is the first abnormality;
when the carbon dioxide concentration is greater than or equal to a first preset concentration threshold value and less than or equal to a second preset concentration threshold value, determining that the carbon dioxide concentration analysis result is that the carbon dioxide concentration in the exhaled gas of the user is normal;
and when the carbon dioxide concentration is greater than a second preset concentration threshold, determining that the carbon dioxide concentration in the exhaled gas of the user is the second abnormality as a result of the carbon dioxide concentration analysis.
In this embodiment, the preset sound intensity threshold is 50 db.
In this embodiment, the first preset concentration threshold is 3%.
In this embodiment, the second preset concentration threshold is 5%.
In this embodiment, the first anomaly is a low concentration of carbon dioxide in the exhaled air of the user.
In this embodiment, the second anomaly is a high concentration of carbon dioxide in the exhaled air of the user.
The technical principle and the technical effect of the technical scheme are as follows: determining whether the sound intensity of the sound source of the user is normal or not according to the relation between the sound intensity of the sound source and a preset sound intensity threshold value; and determining whether the carbon dioxide concentration of the user is normal according to the relation between the carbon dioxide concentration and the first preset concentration threshold value and the second preset concentration threshold value. The method and the device have the advantages that the detection results of the sound intensity of the sound source and the carbon dioxide concentration are compared with the corresponding threshold values, so that whether the sound intensity of the sound source and the carbon dioxide concentration in the exhaled air are normal or not is determined, and the accuracy of the analysis results of the breathing state is guaranteed.
The embodiment of the invention provides a respiratory state verification system applying sound intensity and carbon dioxide detection, and a verification module comprises:
the data determination submodule is used for matching the breathing state with the breathing state data in the preset breathing state library one by one and determining target breathing state data successfully matched with the breathing state;
The state type determining submodule is used for determining a breathing state type corresponding to the target breathing state data;
a verification result determination sub-module for:
when the breathing state type corresponding to the target breathing state data is a normal breathing state, determining that the verification result of the breathing state is the normal breathing state;
when the breathing state type corresponding to the target breathing state data is a low abnormal breathing state, determining that the verification result of the breathing state is the low abnormal breathing state;
when the breathing state type corresponding to the target breathing state data is the high abnormal breathing state, determining that the verification result of the breathing state is the high abnormal breathing state.
In this embodiment, the breathing state may be expressed as: the sound intensity is A decibel, and the carbon dioxide concentration in the exhaled air is B%.
In this embodiment, the specific implementation manner of matching the respiratory state with the respiratory state data in the preset respiratory state library one by one and determining the target respiratory state data successfully matched with the respiratory state may be: and matching the sound intensity A in the breathing state with the sound intensity corresponding to the carbon dioxide concentration B in the breathing gas and the breathing state data in the preset breathing state library and the carbon dioxide concentration in the breathing gas, and when the matching result is that the sound intensity corresponding to the breathing state data in the preset breathing state library and the carbon dioxide concentration in the breathing gas are identical to the sound intensity A in the breathing state and the carbon dioxide concentration B in the breathing state, the breathing state data in the preset breathing state library is the target breathing state data successfully matched with the breathing state.
In this embodiment, assuming that the sound intensity in the breathing state is a and the carbon dioxide concentration in the exhaled gas is B, then: normal breathing state is a > =50 and 3% <=b < =5%; the low abnormal breathing state includes three of a > =50 but B < 3%, a > =50 but B > 5% or a < 50 but 3% <=b < =5%; the high abnormal respiratory state includes two of A < 50 and B < 3% and A < 50 but B > 5%.
The technical principle and the technical effect of the technical scheme are as follows: the breathing state is matched with breathing state data in a preset breathing state library one by one, and target breathing state data successfully matched with the breathing state is determined; determining a respiratory state type corresponding to the target respiratory state data; when the breathing state type corresponding to the target breathing state data is a normal breathing state, determining that the verification result of the breathing state is the normal breathing state; when the breathing state type corresponding to the target breathing state data is a low abnormal breathing state, determining that the verification result of the breathing state is the low abnormal breathing state; when the breathing state type corresponding to the target breathing state data is the high abnormal breathing state, determining that the verification result of the breathing state is the high abnormal breathing state. The technical effect of verifying the respiratory state by matching the respiratory state with the respiratory state data in the preset respiratory state library and ensuring the accuracy of the respiratory state verification result is achieved.
The embodiment of the invention provides a respiratory state verification system applying sound intensity and carbon dioxide detection, which further comprises:
the result receiving module is used for receiving a verification result corresponding to the breathing state;
an alarm module for:
when the verification result is in a low abnormal breathing state, the system indicator lights are lighted yellow, and low abnormal alarm information is sent to the outside;
when the verification result is in a high abnormal breathing state, the system indicator light is lightened red, and high abnormal alarm information is sent to the outside.
The technical principle and the technical effect of the technical scheme are as follows: receiving a verification result corresponding to the breathing state; when the verification result is in a low abnormal breathing state, the system indicator lights are lighted yellow, and low abnormal alarm information is sent to the outside; when the verification result is in a high abnormal breathing state, the system indicator light is lightened red, and high abnormal alarm information is sent to the outside. The technical effects of timely reminding the user of abnormal breathing state, causing the user to be vigilant and avoiding the problem of the body caused by neglecting the abnormal breathing state are achieved.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (10)
1. A respiratory state verification system employing sound intensity and carbon dioxide detection, comprising:
the sound collection module is used for collecting sound information of a user;
a gas collection module for collecting exhaled gas of a user;
the intensity detection module is used for detecting the sound intensity of the sound source corresponding to the sound information;
a concentration detection module for detecting the concentration of carbon dioxide in the exhaled gas;
a state determining module for determining a breathing state of the user by analyzing the sound intensity of the sound source and the carbon dioxide concentration;
the verification module is used for matching the breathing state of the user with breathing state data in a preset breathing state library, and obtaining a verification result corresponding to the breathing state according to the matching result; the breathing state data in the preset breathing state library comprises normal breathing state data, low abnormal breathing state data and high abnormal breathing state data.
2. The respiratory state verification system employing sound intensity and carbon dioxide detection of claim 1, wherein the intensity detection module comprises:
the sound denoising sub-module is used for denoising the sound information of the user to obtain denoised sound information;
A first determination sub-module for detecting a first sound intensity of the denoising sound information by a sound intensity sensor;
the frequency acquisition sub-module is used for acquiring the sound frequency of the denoising sound information by utilizing a frequency spectrum analyzer;
the distance acquisition sub-module is used for acquiring a distance value between the sound source and the sound acquisition module by using a distance sensor;
the attenuation value acquisition submodule is used for determining a sound intensity attenuation value according to the sound frequency, the distance value, the environment temperature value and the environment humidity value;
and the second determining submodule is used for adding the first sound intensity and the sound intensity attenuation value to obtain sound intensity of the sound source corresponding to the sound information.
3. The respiratory state verification system employing sound intensity and carbon dioxide detection of claim 2, wherein the sound denoising sub-module comprises:
the original amplitude obtaining sub-module is used for obtaining the original amplitude of each sound signal included in the sound information of the user;
the conversion amplitude obtaining sub-module is used for multiplying the initial amplitude of the sound signal with a preset amplitude coefficient to obtain a conversion amplitude;
the fitting amplitude determining submodule is used for taking the conversion amplitude corresponding to each sound signal as a data point, performing curve fitting by using a least square method to obtain a corresponding amplitude fitting trend curve, and determining the fitting amplitude corresponding to each sound signal according to the amplitude fitting trend curve;
The signal dividing sub-module is used for acquiring a plurality of maximum values and minimum values in the amplitude fitting trend curve, dividing the sound signals between every two adjacent extreme values into a sound signal set, and obtaining a plurality of sound signal sets after dividing;
a type determination submodule for:
selecting any sound signal set as a sound signal set to be processed, and selecting any sound signal in the sound signal set to be processed as a sound signal to be processed;
acquiring an absolute value of a difference value between a conversion amplitude and a fitting amplitude of a sound signal to be processed;
obtaining the ratio of the absolute value to the conversion amplitude of the sound signal to be processed, and multiplying the ratio by a preset type judgment coefficient to obtain a type judgment value corresponding to the sound signal to be processed;
when the type judgment value is larger than a preset judgment threshold value, determining that the sound signal to be processed is a noise signal; when the type judgment value is smaller than or equal to a preset judgment threshold value, determining that the sound signal to be processed is a non-noise signal;
the signal noise reduction submodule is used for:
when the sound signal to be processed is a noise signal, acquiring phase information of the sound signal to be processed;
acquiring a time-frequency domain sound signal corresponding to the sound signal to be processed by utilizing the conversion amplitude and the phase information of the sound signal to be processed;
Performing short-time inverse Fourier transform on the time-frequency domain sound signals to obtain corresponding noise reduction sound signals;
all the sound signals in all the sound signal sets are subjected to the above operation, and noise reduction sound signals corresponding to each noise signal are obtained;
and forming denoising sound information according to all the denoising sound signals and the non-noise signals.
4. The respiratory state verification system using sound intensity and carbon dioxide detection of claim 2, wherein the attenuation value acquisition sub-module comprises:
the first acquisition submodule is used for obtaining a first attenuation index according to the distance value and a preset first attenuation formula;
a second acquisition sub-module for:
acquiring a humidity value of the current environment;
obtaining a second attenuation index according to the humidity value, the distance value, the sound frequency and a preset second attenuation formula;
a third obtaining sub-module, configured to:
acquiring a current environmental temperature value;
obtaining a third attenuation index according to the temperature value, the second attenuation index, the sound frequency and a preset third attenuation formula;
and the attenuation value determining submodule is used for adding the first attenuation index, the second attenuation index and the third attenuation index to obtain an attenuation index sum, calculating the attenuation index sum and a preset additional attenuation value sum value, and determining the sum value as a sound intensity attenuation value.
5. The respiratory state verification system using sound intensity and carbon dioxide detection of claim 4, wherein the second acquisition sub-module comprises:
the initial humidity value acquisition sub-module is used for acquiring an initial humidity value of the current environment by using a first preset humidity sensor placed at the central position of the current environment area;
a first humidity value obtaining sub-module, configured to:
substituting the current environment temperature value into a preset saturation quantity calculation formula to obtain the air steam saturation quantity corresponding to the current environment;
substituting the current ambient air steam saturation amount into a preset steam amount calculation formula to obtain the current ambient air steam amount;
taking the ratio of the air steam quantity and the air steam saturation quantity as a first humidity value of the current environment;
the image acquisition sub-module is used for acquiring an environment image of the current environment where the system is positioned;
the image noise reduction sub-module is used for carrying out Laplace filtering on the environment image to obtain a noise reduction environment image;
a region segmentation sub-module for:
based on the size of the noise reduction environment image, carrying out gridding treatment on the noise reduction environment image to obtain a grid environment image;
performing region segmentation on the current environment based on the grid environment image to obtain a plurality of sub-environment regions;
The regional humidity value acquisition sub-module is used for detecting humidity at four corners and the center position of each sub-environment region by using a second preset humidity sensor group, taking the average value of the humidity detection values at the four corners and the center position as the regional humidity value of the sub-environment region, and performing the above operation on all the sub-environment regions to acquire the regional humidity value corresponding to each sub-environment region;
the second humidity value acquisition sub-module is used for summing all the regional humidity values and calculating a corresponding regional humidity average value, and taking the regional humidity average value as a second humidity value of the current environment;
the environment humidity value acquisition sub-module is used for calculating an average value of the initial humidity value, the first humidity value and the second humidity value, and taking the average value as the humidity value of the current environment;
and the calculation sub-module is used for acquiring a second attenuation index according to the humidity value, the sound frequency and a preset second attenuation formula.
6. The respiratory state verification system employing sound intensity and carbon dioxide detection of claim 1, wherein the concentration detection module comprises a carbon dioxide concentration sensor.
7. The respiratory state verification system employing sound intensity and carbon dioxide detection of claim 1, wherein the state determination module comprises:
An analysis sub-module for:
comparing the sound intensity of the sound source corresponding to the sound information with a preset sound intensity threshold value to obtain a first comparison result, and determining a sound intensity analysis result based on the first comparison result;
comparing the carbon dioxide concentration with a preset concentration threshold value to obtain a second comparison result, and determining a carbon dioxide concentration analysis result based on the second comparison result;
and the determining submodule is used for determining the breathing state of the user based on the sound intensity analysis result and the carbon dioxide concentration analysis result.
8. The respiratory state verification system employing sound intensity and carbon dioxide detection of claim 7, wherein the analysis sub-module comprises:
a first determination submodule for:
comparing the relation between the sound intensity of the sound source and a preset sound intensity threshold value;
when the sound intensity of the sound source is smaller than a preset sound intensity threshold value, determining that the sound intensity analysis result is abnormal sound intensity of the user;
when the sound intensity of the sound source is larger than or equal to a preset sound intensity threshold value, determining that the sound intensity analysis result is that the sound intensity of the user is normal;
a second determination submodule for:
comparing the relation between the carbon dioxide concentration and the first preset concentration threshold value and the second preset concentration threshold value; wherein the second preset concentration threshold is greater than the first preset concentration threshold;
When the carbon dioxide concentration is smaller than a first preset concentration threshold value, determining that the carbon dioxide concentration analysis result is that the carbon dioxide concentration in the exhaled gas of the user is a first abnormality;
when the carbon dioxide concentration is greater than or equal to a first preset concentration threshold value and less than or equal to a second preset concentration threshold value, determining that the carbon dioxide concentration analysis result is that the carbon dioxide concentration in the exhaled gas of the user is normal;
and when the carbon dioxide concentration is larger than a second preset concentration threshold value, determining that the carbon dioxide concentration in the exhaled gas of the user is the second abnormality as a result of the carbon dioxide concentration analysis.
9. The respiratory state verification system using sound intensity and carbon dioxide detection of claim 1, wherein the verification module comprises:
the data determination submodule is used for matching the breathing state with the breathing state data in the preset breathing state library one by one and determining target breathing state data successfully matched with the breathing state;
the state type determining submodule is used for determining a breathing state type corresponding to the target breathing state data;
a verification result determination sub-module for:
when the breathing state type corresponding to the target breathing state data is a normal breathing state, determining that the verification result of the breathing state is the normal breathing state;
When the breathing state type corresponding to the target breathing state data is a low abnormal breathing state, determining that the verification result of the breathing state is the low abnormal breathing state;
when the breathing state type corresponding to the target breathing state data is the high abnormal breathing state, determining that the verification result of the breathing state is the high abnormal breathing state.
10. The respiratory state verification system using sound intensity and carbon dioxide detection of claim 9, further comprising:
the result receiving module is used for receiving a verification result corresponding to the breathing state;
an alarm module for:
when the verification result is in a low abnormal breathing state, a system indicator light is lighted yellow, and low abnormal alarm information is sent to the outside;
when the verification result is in a high abnormal breathing state, the system indicator light is lightened red, and high abnormal alarm information is sent to the outside.
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| CN116508101A (en) * | 2020-11-23 | 2023-07-28 | 科蒂奥医疗公司 | Detecting impaired physiological function from exhaled gas concentration and spectral envelope extracted from speech analysis |
| CN113499055A (en) * | 2021-07-21 | 2021-10-15 | 王苹 | Intelligent respiratory anomaly detection system |
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