CN114343610A - Lung detection method and related device - Google Patents
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Abstract
The embodiment of the application discloses a lung detection method and a related device, wherein the method comprises the following steps: the electronic equipment acquires target lung information for lung examination of a target user, wherein the target lung information is used for representing the characteristic state of the lung of the target user and acquiring target personal information of the target user, and the target personal information is used for representing at least one of the following physical sign parameters of the target user: and finally, generating an evaluation result of the lung of the target user according to the target lung information and the reference lung information. The lung detection method and the lung detection device are beneficial to improving the accuracy and intelligence of lung detection.
Description
Technical Field
The application relates to the technical field of medical treatment, in particular to a lung detection method and a related device.
Background
With the development of the medical technical field, lung detection becomes more and more common, and at present, all information detected by lung examination items is recorded in the modes of data, characters, graphs and the like, so that medical workers can comprehensively analyze the information according to medical history, physical signs and other examination results and put forward diagnosis opinions so as to facilitate clinical reference.
However, misdiagnosis and missed diagnosis occur frequently because healthcare workers are not aware of respiratory physiology and are not familiar with pulmonary detection.
Disclosure of Invention
The embodiment of the application provides a lung detection method and a related device, aiming at improving the accuracy and intelligence of lung detection.
In a first aspect, an embodiment of the present application provides a lung detection method, which is applied to an electronic device, and the method includes:
acquiring target lung information for lung examination of a target user, wherein the target lung information is used for representing the characteristic state of the lung of the target user;
obtaining target personal information of the target user, wherein the target personal information is used for characterizing at least one of the following physical sign parameters of the target user: age, sex, weight and height;
determining reference lung information according to the target personal information, wherein the reference lung information is used for representing the characteristic state that the lung of the target user is in a normal function state;
and generating an evaluation result of the lung of the target user according to the target lung information and the reference lung information.
In a second aspect, the present application provides a lung detecting apparatus, which is applied to an electronic device, and includes:
the device comprises a first acquisition unit, a second acquisition unit and a third acquisition unit, wherein the first acquisition unit is used for acquiring target lung information for lung examination of a target user, and the target lung information is used for representing the characteristic state of the lung of the target user;
a second obtaining unit, configured to obtain target personal information of the target user, where the target personal information is used to characterize at least one of the following physical sign parameters of the target user: age, sex, weight and height;
a reference lung information unit, configured to determine reference lung information according to the target personal information, where the reference lung information is used to represent a feature state of a lung of the target user in a normal function state;
and the evaluation result generating unit is used for generating an evaluation result of the lung of the target user according to the target lung information and the reference lung information.
In a third aspect, an embodiment of the present application provides an electronic device, including a processor, a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, and the program includes instructions for executing steps in any method of the first aspect of the embodiment of the present application.
In a fourth aspect, the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, where the computer program makes a computer perform part or all of the steps described in any one of the methods of the first aspect of the present application.
In a fifth aspect, the present application provides a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform some or all of the steps as described in any one of the methods of the first aspect of the embodiments of the present application. The computer program product may be a software installation package.
It can be seen that, in the embodiment of the present application, the electronic device obtains target lung information for performing a lung check on a target user, where the target lung information is used to characterize a characteristic state of a lung of the target user, and obtains target personal information of the target user, where the target personal information is used to characterize at least one of the following physical sign parameters of the target user: and finally, generating an evaluation result of the lung of the target user according to the target lung information and the reference lung information. Therefore, the electronic device of the embodiment of the application can acquire the reference lung information based on the personal information of the target user, and the reference lung information represents the characteristic state that the lung of the target user is in a normal function state, and the acquired target lung information for lung examination of the target user is combined to generate the lung evaluation result of the target user, so that the accuracy and the intelligence of lung detection are improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic flow chart of a method for lung detection according to an embodiment of the present disclosure;
FIG. 2 is a schematic flow chart of another method for lung detection provided by an embodiment of the present application;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application;
fig. 4 is a block diagram illustrating functional units of a lung detection apparatus according to an embodiment of the present disclosure.
Detailed Description
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, 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 application.
The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
At present, all information detected by lung examination items is recorded in the modes of data, characters, graphs and the like, so that medical workers can comprehensively analyze the information according to medical history, physical signs and other examination results and put forward diagnosis opinions so as to facilitate clinical reference.
However, misdiagnosis and missed diagnosis occur frequently because healthcare workers are not aware of respiratory physiology and are not familiar with pulmonary detection.
In view of the above problems, the present invention provides a method for lung detection, which is described in detail below with reference to the accompanying drawings.
Referring to fig. 1, fig. 1 is a schematic flowchart of a lung detection method applied to an electronic device according to an embodiment of the present application, and as shown in fig. 1, the lung detection method includes the following steps S101 to S104:
s101, the electronic equipment acquires target lung information for lung examination of a target user.
Wherein the target lung information is used to characterize a characteristic state of the lungs of the target user.
Wherein the target lung information includes at least one of a target flow-volume curve (F-V curve), a target time-volume curve (T-V curve), a target maximum voluntary ventilation curve (MVV curve), a target forced vital capacity, and a target forced expiratory volume per second.
The target forced vital capacity refers to the maximum air volume that can be exhaled by the target user after trying to inhale maximally, and trying to exhale as soon as possible. The target forced expiratory volume for one second refers to the rapid expiratory volume within one second after the target user performs the pulmonary examination to inhale to the total lung volume. The measurement method is not particularly limited, but the measurement method is required to meet the measurement standard stipulated by the country.
As a specific embodiment, the electronic device may perform image recognition on the target flow-volume curve, the target time-volume curve, and the target maximum voluntary ventilation curve to obtain the target forced vital capacity and the target forced expiratory volume in one second.
Optionally, the electronic device may obtain the target lung information for the lung examination of the target user in an implementation manner that: the electronic device obtains the target lung information from at least one detection device, each of the at least one detection device being bound to the electronic device.
It should be noted that the at least one detection device is a detection device for performing lung detection of different items.
As can be seen, in this example, the electronic device can acquire target lung information for performing lung examination on a target user, and since the target lung information represents a characteristic state of a lung of the target user, an evaluation result of the lung of the target user is subsequently generated based on the target lung information, so that the intelligence of lung detection is improved.
S102, the electronic equipment acquires target personal information of the target user.
Wherein the target personal information is used for characterizing at least one of the following physical sign parameters of the target user: age, sex, weight, and height.
Wherein the target personal information includes, but is not limited to, at least one of: gender, age, date of birth, identification number, height, and weight.
Optionally, a specific implementation manner of the electronic device acquiring the target personal information of the target user may be, but is not limited to: the electronic equipment reads target personal Information of the target user in a Hospital Information System (HIS) System; or the electronic equipment acquires the target personal information of the target user uploaded by the target user.
Optionally, the target personal information includes a birth date of the target user, and a specific implementation manner of the electronic device acquiring the target personal information of the target user may be, but is not limited to: acquiring the current date of the system; and determining the age of the target user according to the current date and the birth date.
Wherein, age is current year-year of birth + 1. In a specific implementation, the current year may be determined according to the current date, the year of birth may be determined according to the date of birth, and finally the age may be determined based on the current year and the year of birth.
Wherein, the age can also be determined according to the identification number of the target user. In a specific implementation, the electronic device may determine the age by: and identifying the birth year in the identification number, acquiring the current date of the system, and determining the age according to the birth year and the current date.
As can be seen, in this example, the electronic device obtains the target personal information of the target user, and since the target personal information represents at least one of the following physical sign parameters of the target user: the lung evaluation method comprises the steps of determining target personal information, and generating an evaluation result of the lung of a target user according to the target lung information and the reference lung information, so that the accuracy of the evaluation result of the lung can be further ensured, the efficiency of the evaluation result of the lung can be improved, and the accuracy and the efficiency of lung detection can be further improved.
S103, the electronic equipment determines reference lung information according to the target personal information.
Wherein the reference lung information is used for characterizing the characteristic state that the lung of the target user is in a normal function state.
Specifically, the determining, by the electronic device, the reference lung information according to the target personal information includes: and the electronic equipment leads the target personal information into a pre-trained target network model to obtain the reference lung information, wherein the target network model is generated by training based on a deep neural network algorithm in advance.
The target network model is a network model universal in regions.
Wherein the reference lung information includes at least one of a reference flow-volume curve (F-V curve), a reference time-volume curve (T-V curve), a reference maximum voluntary ventilation curve (MVV curve), a reference forced vital capacity, and a reference one-second forced expiratory volume.
The reference forced vital capacity refers to the maximum volume that the target user can exhale as soon as possible after trying to inhale maximally when the lung is in a normal state. Reference to a one second forced expiratory volume refers to the amount of rapid expiratory flow within one second after the target user has inhaled air to the total lung volume level with the lungs in a functional normal state.
As a specific embodiment, the electronic device may perform image recognition on the reference flow-volume curve, the reference time-volume curve, and the reference maximum voluntary ventilation curve to obtain the reference forced vital capacity and the reference one-second forced expiratory volume.
In this example, the electronic device can determine the reference lung information according to the target personal information, so that the intelligence and the accuracy of lung detection are improved.
And S104, the electronic equipment generates an evaluation result of the lung of the target user according to the target lung information and the reference lung information.
As can be seen, in this example, since the target lung information is used to represent the characteristic state of the lung of the target user, and the reference lung information is used to represent the characteristic state of the lung of the target user in a normal function state, the electronic device can generate an evaluation result of the lung of the target user according to the target lung information and the reference lung information, so as to improve the accuracy of lung detection.
It can be seen that, in the embodiment of the present application, the electronic device obtains target lung information for performing a lung check on a target user, where the target lung information is used to characterize a characteristic state of a lung of the target user, and obtains target personal information of the target user, where the target personal information is used to characterize at least one of the following physical sign parameters of the target user: and finally, generating an evaluation result of the lung of the target user according to the target lung information and the reference lung information. Therefore, the electronic device of the embodiment of the application can acquire the reference lung information based on the personal information of the target user, and the reference lung information represents the characteristic state that the lung of the target user is in a normal function state, and the acquired target lung information for lung examination of the target user is combined to generate the lung evaluation result of the target user, so that the accuracy and the intelligence of lung detection are improved.
In one possible example, the target lung information includes a target forced vital capacity and a target one second forced expiratory volume; the reference lung information includes a reference forced vital capacity and a reference forced expiratory volume in one second.
In one possible example, the implementation manner of the electronic device generating the evaluation result of the lung of the target user according to the target lung information and the reference lung information may specifically be, but is not limited to: the electronic device determining a first ratio of the target one-second forced expiratory volume and the reference one-second forced expiratory volume; the electronic device determining a second ratio of the target forced vital capacity and the reference forced vital capacity; the electronic device determining a third ratio of the target forced expiratory volume-per-second and the target forced vital capacity; the electronic device determining a fourth ratio of the reference one-second effort expiratory volume to the reference effort vital capacity; the electronic device determining a fifth ratio of the third ratio and the fourth ratio; the electronic device comparing the first, second, and fifth ratios to eighty percent; if the first ratio, the second ratio, and the fifth ratio are all greater than or equal to the eighty percent ratio, the electronic device generates an assessment result that includes a lung in a functional health state.
It can be seen that, in this example, the electronic device is capable of generating an evaluation result including the lung in a normal lung function state when each of the first ratio, the second ratio and the fifth ratio is greater than or equal to eighty percent, and each of the first ratio, the second ratio and the fifth ratio is determined by the electronic device, so that the intelligence of lung detection is further improved.
In one possible example, after the electronic device compares the first ratio, the second ratio, and the fifth ratio to eighty percent, the method further comprises: if the first ratio and the fifth ratio are both less than the eighty percent and the second ratio is greater than or equal to the eighty percent, the electronic device generates an assessment that includes the lungs in an obstructive ventilation dysfunction state; alternatively, if the first ratio and the second ratio are both less than eighty percent and the fifth ratio is greater than or equal to eighty percent, the electronic device generates an assessment that includes the lungs in a restrictive ventilation dysfunction state; alternatively, if the first ratio, the second ratio, and the fifth ratio are all less than the eighty percent, the electronic device generates an assessment that includes the lungs in a mixed ventilation dysfunction state.
The electronic device can respectively identify the comparison results of the first ratio, the second ratio and the fifth ratio with the eighty percent, and determine the type of ventilation dysfunction (obstructive ventilation dysfunction, restrictive ventilation dysfunction and mixed ventilation dysfunction) based on the comparison results when the lung is in a ventilation dysfunction state, so that the intelligence of lung detection is further improved.
In one possible example, after the electronic device generates the evaluation result of the lung of the target user according to the target lung information and the reference lung information, the method further includes: if an evaluation result including the lung in a normal function state is generated, the electronic equipment controls the indicator lamp to emit light of a first color; if an assessment result including a lung in an obstructive ventilation dysfunction state is generated, the electronic device controls the indicator light to emit light of a second color; if an assessment result including a lung in a restrictive ventilation dysfunction state is generated, the electronic device controls the indicator light to emit light of a third color; if an evaluation result including the lung in a mixed ventilation dysfunction state is generated, the electronic device controls the indicator light to emit light of a fourth color, and the first color, the second color, the third color and the fourth color are different from each other in pairs.
The first color, the second color, the third color, and the fourth color are not particularly limited.
For example, the first color may be set to green, the second color to blue, the third color to yellow, and the fourth color to red. The medical staff can easily know the evaluation result of the target user's lungs according to the color of the indicator light, for example, when the indicator light emits green light, the target user's lungs are in a normal state of function.
It can be seen that, in this example, the electronic device can control the indicator light to emit lights of different colors according to the evaluation result of the lung, so that the medical staff can know the function of the lung of the target user based on the indicator light.
In specific implementation, the target lung information may include a target first-second forced expiratory volume, a target second-second forced expiratory volume and a target third-second forced expiratory volume, the reference lung information may include a reference first-second forced expiratory volume, a reference second-second forced expiratory volume and a reference third-second forced expiratory volume, and the portion of the lung where the airflow is limited and the lesion degree are determined according to the target first-second forced expiratory volume, the target second-second forced expiratory volume, the target third-second forced expiratory volume, the reference first-second forced expiratory volume, the reference second-second forced expiratory volume and the reference third-second forced expiratory volume.
The target user who performs lung examination by using the target second forced expiratory volume breathes into the total lung volume to obtain the rapid expiratory volume within two seconds after inhaling into the total lung volume, the target user who performs lung examination by using the target third second forced expiratory volume breathes into the total lung volume to obtain the rapid expiratory volume within three seconds after inhaling into the total lung volume, the reference second forced expiratory volume refers to the rapid expiratory volume within two seconds after inhaling into the total lung volume by the target user under the normal lung function state, and the reference third second forced expiratory volume refers to the rapid expiratory volume within three seconds after inhaling into the total lung volume by the target user under the normal lung function state.
In a specific implementation, the target lung information may include a first amount of carbon monoxide transferred from the alveoli to the alveolar capillaries under a unit time and unit pressure difference and bound to hemoglobin, which is obtained by performing a lung examination, and the reference lung information may include a second amount of carbon monoxide transferred from the alveoli to the alveolar capillaries under a unit time and unit pressure difference and bound to hemoglobin, which is determined by the target personal information, and whether the pulmonary diffusion function is decreased and the degree of decrease thereof may be determined according to the first amount and the second amount.
Referring to fig. 2, fig. 2 is a schematic flowchart of another lung detection method provided in an embodiment of the present application, and the lung detection method is applied to an electronic device, as shown in fig. 2, and the lung detection method includes:
s201, the electronic equipment acquires a target forced vital capacity and a target one-second forced expiratory volume for lung examination of a target user.
The target forced vital capacity refers to the maximum air volume that can be exhaled by the target user after trying to inhale maximally, and trying to exhale as soon as possible. The target forced expiratory volume for one second refers to the rapid expiratory volume within one second after the target user performs the pulmonary examination to inhale to the total lung volume.
S202, the electronic equipment acquires target personal information of the target user.
Wherein the target personal information is used for characterizing at least one of the following physical sign parameters of the target user: age, sex, weight, and height.
S203, the electronic equipment determines a reference forced vital capacity and a reference one-second forced expiratory volume according to the target personal information.
The reference forced vital capacity refers to the maximum volume that the target user can exhale as soon as possible after trying to inhale maximally when the lung is in a normal state. Reference to a one second forced expiratory volume refers to the amount of rapid expiratory flow within one second after the target user has inhaled air to the total lung volume level with the lungs in a functional normal state.
S204, the electronic device determines a first ratio of the target one-second forced expiratory volume to the reference one-second forced expiratory volume.
S205, the electronic device determines a second ratio of the target forced vital capacity and the reference forced vital capacity.
S206, the electronic device determines a third ratio of the target forced expiratory volume in one second to the target forced vital capacity.
S207, the electronic equipment determines a fourth ratio of the reference one-second forced expiratory volume to the reference forced vital capacity.
S208, the electronic device determines a fifth ratio of the third ratio and the fourth ratio.
S209, the electronic device compares the first ratio, the second ratio and the fifth ratio with eighty percent.
S210, if the first ratio, the second ratio and the fifth ratio are all greater than or equal to eighty percent, the electronic device generates an evaluation result including the lung in a normal functioning state.
S211, the electronic equipment controls the indicator lamp to emit light of a first color.
S212, if the first ratio and the fifth ratio are both less than eighty percent and the second ratio is greater than or equal to eighty percent, the electronic device generates an assessment result including a lung in an obstructive ventilation dysfunction state.
S213, the electronic device controls the indicator light to emit light of a second color.
S214, if the first ratio and the second ratio are both less than eighty percent and the fifth ratio is greater than or equal to eighty percent, the electronic device generates an assessment result including a lung in a restrictive ventilation dysfunction state.
S215, the electronic equipment controls the indicator lamp to emit light of a third color.
S216, if the first ratio, the second ratio, and the fifth ratio are all less than eighty percent, the electronic device generates an assessment result including lungs in a mixed ventilation dysfunction state.
S217, the electronic equipment controls the indicator lamp to emit light of a fourth color.
Wherein, the first color, the second color, the third color and the fourth color are different from each other.
It can be seen that, in the embodiment of the present application, the electronic device obtains target lung information for performing a lung check on a target user, where the target lung information is used to characterize a characteristic state of a lung of the target user, and obtains target personal information of the target user, where the target personal information is used to characterize at least one of the following physical sign parameters of the target user: and finally, generating an evaluation result of the lung of the target user according to the target lung information and the reference lung information. Therefore, the electronic device of the embodiment of the application can acquire the reference lung information based on the personal information of the target user, and the reference lung information represents the characteristic state that the lung of the target user is in a normal function state, and the acquired target lung information for lung examination of the target user is combined to generate the lung evaluation result of the target user, so that the accuracy and the intelligence of lung detection are improved.
In addition, the electronic device can control the indicator light to emit light of different colors according to the assessment result of the lung, so that medical staff can know the condition of the function of the lung of the target user based on the indicator light.
Consistent with the embodiments shown in fig. 1 and fig. 2, please refer to fig. 3, fig. 3 is a schematic structural diagram of an electronic device 300 provided in an embodiment of the present application, as shown in fig. 3, the electronic device 300 includes a processor 310, a memory 320, a communication interface 330, and one or more programs 321, where the one or more programs 321 are stored in the memory 320 and configured to be executed by the processor 310, and the one or more programs 321 include instructions for performing the following steps;
acquiring target lung information for lung examination of a target user, wherein the target lung information is used for representing the characteristic state of the lung of the target user;
obtaining target personal information of the target user, wherein the target personal information is used for characterizing at least one of the following physical sign parameters of the target user: age, sex, weight and height;
determining reference lung information according to the target personal information, wherein the reference lung information is used for representing the characteristic state that the lung of the target user is in a normal function state;
and generating an evaluation result of the lung of the target user according to the target lung information and the reference lung information.
It can be seen that, in the embodiment of the present application, the electronic device obtains target lung information for performing a lung check on a target user, where the target lung information is used to characterize a characteristic state of a lung of the target user, and obtains target personal information of the target user, where the target personal information is used to characterize at least one of the following physical sign parameters of the target user: and finally, generating an evaluation result of the lung of the target user according to the target lung information and the reference lung information. Therefore, the electronic device of the embodiment of the application can acquire the reference lung information based on the personal information of the target user, and the reference lung information represents the characteristic state that the lung of the target user is in a normal function state, and the acquired target lung information for lung examination of the target user is combined to generate the lung evaluation result of the target user, so that the accuracy and the intelligence of lung detection are improved.
In one possible example, the target lung information includes a target forced vital capacity and a target one second forced expiratory volume;
the reference lung information includes a reference forced vital capacity and a reference forced expiratory volume in one second.
In one possible example, in the generating the evaluation of the target user's lungs from the target lung information and the reference lung information, the instructions in the one or more programs 321 are specifically configured to: determining a first ratio of the target one-second effort expiratory volume and the reference one-second effort expiratory volume; determining a second ratio of the target forced vital capacity and the reference forced vital capacity; determining a third ratio of the target forced expiratory volume-per-second and the target forced vital capacity; determining a fourth ratio of the reference one-second effort expiratory volume and the reference effort vital capacity; determining a fifth ratio of the third ratio and the fourth ratio; comparing the first, second, and fifth ratios to eighty percent; generating an assessment result including a lung in a functional health state if the first ratio, the second ratio, and the fifth ratio are each greater than or equal to the eighty percent.
In one possible example, the one or more programs 321 further include instructions for performing the steps of: after said comparing said first ratio, said second ratio, and said fifth ratio to eighty percent, if said first ratio and said fifth ratio are both less than eighty percent and said second ratio is greater than or equal to eighty percent, generating an assessment of said lungs including lungs in an obstructive ventilation dysfunction state; or if both the first ratio and the second ratio are less than eighty percent and the fifth ratio is greater than or equal to eighty percent, generating an assessment including the lungs in a restricted ventilation dysfunction state; alternatively, if the first ratio, the second ratio, and the fifth ratio are all less than eighty percent, generating an assessment result that includes the lungs in a mixed ventilation dysfunction state.
In one possible example, the electronic device includes an indicator light, and the one or more programs 321 further include instructions for: after the evaluation result of the lung of the target user is generated according to the target lung information and the reference lung information, if the evaluation result of the lung including the lung in a normal function state is generated, the indicator light is controlled to emit light of a first color; controlling the indicator light to emit light of a second color if an assessment result is generated that includes a lung in an obstructive ventilation dysfunction state; controlling the indicator light to emit light of a third color if an assessment result is generated that includes a lung in a restricted ventilation dysfunction state; controlling the indicator light to emit light of a fourth color if an evaluation result including the lungs in a mixed ventilation dysfunction state is generated, wherein the first color, the second color, the third color and the fourth color are different from each other.
In one possible example, the target personal information includes a birth date of the target user, and in the obtaining the target personal information of the target user, the instructions in the one or more programs 321 are specifically configured to: acquiring the current date of the system; and determining the age of the target user according to the current date and the birth date.
In one possible example, in the determining reference lung information from the target personal information, the instructions in the one or more programs 321 are specifically configured to: and importing the target personal information into a pre-trained target network model to obtain the reference lung information, wherein the target network model is generated by training based on a deep neural network algorithm in advance.
The above description has introduced the solution of the embodiment of the present application mainly from the perspective of the method-side implementation process. It is understood that the electronic device comprises corresponding hardware structures and/or software modules for performing the respective functions in order to realize the above-mentioned functions. Those of skill in the art will readily appreciate that the present application is capable of hardware or a combination of hardware and computer software implementing the various illustrative elements and algorithm steps described in connection with the embodiments provided herein. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiment of the present application, the electronic device may be divided into the functional units according to the method example, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit. It should be noted that the division of the unit in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
Fig. 4 is a block diagram of functional units of a lung detection apparatus 400 according to an embodiment of the present application. The lung detection device 400 is applied to an electronic device, and includes a first obtaining unit 401, configured to obtain target lung information for performing a lung check on a target user, where the target lung information is used to represent a characteristic state of a lung of the target user;
a second obtaining unit 402, configured to obtain target personal information of the target user, where the target personal information is used to characterize at least one of the following physical sign parameters of the target user: age, sex, weight and height;
a reference lung information unit 403, configured to determine reference lung information according to the target personal information, where the reference lung information is used to represent a characteristic state that a lung of the target user is in a normal function state;
an evaluation result generating unit 404, configured to generate an evaluation result of the lung of the target user according to the target lung information and the reference lung information.
The lung examination apparatus 400 may further comprise a storage unit 405 for storing program codes and data of an electronic device, among other things. The storage unit 405 may be a memory.
It can be seen that, in the embodiment of the present application, the electronic device obtains target lung information for performing a lung check on a target user, where the target lung information is used to characterize a characteristic state of a lung of the target user, and obtains target personal information of the target user, where the target personal information is used to characterize at least one of the following physical sign parameters of the target user: and finally, generating an evaluation result of the lung of the target user according to the target lung information and the reference lung information. Therefore, the electronic device of the embodiment of the application can acquire the reference lung information based on the personal information of the target user, and the reference lung information represents the characteristic state that the lung of the target user is in a normal function state, and the acquired target lung information for lung examination of the target user is combined to generate the lung evaluation result of the target user, so that the accuracy and the intelligence of lung detection are improved.
In one possible example, the target lung information includes a target forced vital capacity and a target one second forced expiratory volume; the reference lung information includes a reference forced vital capacity and a reference forced expiratory volume in one second.
In one possible example, in the aspect of generating the evaluation result of the lung of the target user according to the target lung information and the reference lung information, the evaluation result generating unit 404 is specifically configured to: determining a first ratio of the target one-second effort expiratory volume and the reference one-second effort expiratory volume; determining a second ratio of the target forced vital capacity and the reference forced vital capacity; determining a third ratio of the target forced expiratory volume-per-second and the target forced vital capacity; determining a fourth ratio of the reference one-second effort expiratory volume and the reference effort vital capacity; determining a fifth ratio of the third ratio and the fourth ratio; comparing the first, second, and fifth ratios to eighty percent; generating an assessment result including a lung in a functional health state if the first ratio, the second ratio, and the fifth ratio are each greater than or equal to the eighty percent.
In one possible example, the evaluation result generating unit 404 is further configured to: after said comparing said first ratio, said second ratio, and said fifth ratio to eighty percent, if said first ratio and said fifth ratio are both less than eighty percent and said second ratio is greater than or equal to eighty percent, generating an assessment of said lungs including lungs in an obstructive ventilation dysfunction state; or if both the first ratio and the second ratio are less than eighty percent and the fifth ratio is greater than or equal to eighty percent, generating an assessment including the lungs in a restricted ventilation dysfunction state; alternatively, if the first ratio, the second ratio, and the fifth ratio are all less than eighty percent, generating an assessment result that includes the lungs in a mixed ventilation dysfunction state.
In one possible example, the electronic device includes an indicator light, and the electronic device further includes a prompting unit 406 for: after the evaluation result of the lung of the target user is generated according to the target lung information and the reference lung information, if the evaluation result of the lung including the lung in a normal function state is generated, the indicator lamp is controlled to emit light of a first color; controlling the indicator light to emit light of a second color if an assessment result is generated that includes a lung in an obstructive ventilation dysfunction state; controlling the indicator light to emit light of a third color if an assessment result is generated that includes a lung in a restricted ventilation dysfunction state; controlling the indicator light to emit light of a fourth color if an evaluation result including the lungs in a mixed ventilation dysfunction state is generated, wherein the first color, the second color, the third color and the fourth color are different from each other.
In a possible example, the target personal information includes a birth date of the target user, and in the aspect of acquiring the target personal information of the target user, the second acquiring unit 402 is specifically configured to: acquiring the current date of the system; and determining the age of the target user according to the current date and the birth date.
In one possible example, in the aspect of determining the reference lung information according to the target personal information, the reference lung information unit 403 is specifically configured to: and importing the target personal information into a pre-trained target network model to obtain the reference lung information, wherein the target network model is generated by training based on a deep neural network algorithm in advance.
Embodiments of the present application also provide a computer storage medium, where the computer storage medium stores a computer program for electronic data exchange, the computer program enabling a computer to execute part or all of the steps of any one of the methods described in the above method embodiments, and the computer includes an electronic device.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods as described in the above method embodiments. The computer program product may be a software installation package, the computer comprising an electronic device.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the above-described division of the units is only one type of division of logical functions, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit may be stored in a computer readable memory if it is implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the above-mentioned method of the embodiments of the present application. And the aforementioned memory comprises: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash Memory disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.
The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (10)
1. A lung detection method applied to an electronic device, the method comprising:
acquiring target lung information for lung examination of a target user, wherein the target lung information is used for representing the characteristic state of the lung of the target user;
obtaining target personal information of the target user, wherein the target personal information is used for characterizing at least one of the following physical sign parameters of the target user: age, sex, weight and height;
determining reference lung information according to the target personal information, wherein the reference lung information is used for representing the characteristic state that the lung of the target user is in a normal function state;
and generating an evaluation result of the lung of the target user according to the target lung information and the reference lung information.
2. The method of claim 1, wherein the target pulmonary information includes a target forced vital capacity and a target one second forced expiratory volume;
the reference lung information includes a reference forced vital capacity and a reference forced expiratory volume in one second.
3. The method of claim 2, wherein generating the assessment result of the target user's lungs from the target lung information and the reference lung information comprises:
determining a first ratio of the target one-second effort expiratory volume and the reference one-second effort expiratory volume;
determining a second ratio of the target forced vital capacity and the reference forced vital capacity;
determining a third ratio of the target forced expiratory volume-per-second and the target forced vital capacity;
determining a fourth ratio of the reference one-second effort expiratory volume and the reference effort vital capacity;
determining a fifth ratio of the third ratio and the fourth ratio;
comparing the first, second, and fifth ratios to eighty percent;
generating an assessment result including a lung in a functional health state if the first ratio, the second ratio, and the fifth ratio are each greater than or equal to the eighty percent.
4. The method of claim 3, wherein after comparing the first, second, and fifth ratios to eighty percent, the method further comprises:
generating an assessment result including a lung in an obstructive ventilation dysfunction state if both the first ratio and the fifth ratio are less than the eighty percent and the second ratio is greater than or equal to the eighty percent; alternatively, the first and second electrodes may be,
generating an assessment result including lungs in a condition of restrictive ventilation dysfunction if both the first ratio and the second ratio are less than eighty percent and the fifth ratio is greater than or equal to eighty percent; alternatively, the first and second electrodes may be,
generating an assessment result including lungs in a mixed ventilation dysfunction state if the first ratio, the second ratio, and the fifth ratio are all less than eighty percent.
5. The method of claim 4, wherein the electronic device includes an indicator light, and wherein after generating the assessment result of the target user's lungs from the target lung information and the reference lung information, the method further comprises:
controlling the indicator light to emit light of a first color if an assessment result including the lung in a normal functioning state is generated;
controlling the indicator light to emit light of a second color if an assessment result is generated that includes a lung in an obstructive ventilation dysfunction state;
controlling the indicator light to emit light of a third color if an assessment result is generated that includes a lung in a restricted ventilation dysfunction state;
controlling the indicator light to emit light of a fourth color if an evaluation result including the lungs in a mixed ventilation dysfunction state is generated, wherein the first color, the second color, the third color and the fourth color are different from each other.
6. The method of claim 1, wherein the target personal information comprises a birth date of the target user, and wherein the obtaining the target personal information of the target user comprises:
acquiring the current date of the system;
and determining the age of the target user according to the current date and the birth date.
7. The method of claim 1, wherein determining reference lung information from the target profile comprises:
and importing the target personal information into a pre-trained target network model to obtain the reference lung information, wherein the target network model is generated by training based on a deep neural network algorithm in advance.
8. A lung detection device applied to an electronic device, the device comprising:
the device comprises a first acquisition unit, a second acquisition unit and a third acquisition unit, wherein the first acquisition unit is used for acquiring target lung information for lung examination of a target user, and the target lung information is used for representing the characteristic state of the lung of the target user;
a second obtaining unit, configured to obtain target personal information of the target user, where the target personal information is used to characterize at least one of the following physical sign parameters of the target user: age, sex, weight and height;
a reference lung information unit, configured to determine reference lung information according to the target personal information, where the reference lung information is used to represent a feature state of a lung of the target user in a normal function state;
and the evaluation result generating unit is used for generating an evaluation result of the lung of the target user according to the target lung information and the reference lung information.
9. An electronic device comprising a processor, a memory, a communication interface, and one or more programs stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the steps in the method of any of claims 1-7.
10. A computer-readable storage medium, characterized in that a computer program for electronic data exchange is stored, wherein the computer program causes a computer to perform the method according to any one of claims 1-7.
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040260195A1 (en) * | 2001-11-05 | 2004-12-23 | Burrul Francisco Cardona | Multi-spirometer and method for measuring ventilatory function by spirometry |
| CN201855262U (en) * | 2010-09-16 | 2011-06-08 | 复旦大学附属中山医院 | System used for auxiliary diagnosis of lung function index |
| CN107314777A (en) * | 2017-06-28 | 2017-11-03 | 厦门美图移动科技有限公司 | The method and mobile terminal of a kind of dynamic setting meter step threshold value |
| CN110384501A (en) * | 2019-07-16 | 2019-10-29 | 广州红象医疗科技有限公司 | Pulmonary function monitoring system |
| CN111261300A (en) * | 2020-01-16 | 2020-06-09 | 复旦大学附属中山医院 | Method for acquiring normal predicted value of lung function parameter |
| CN112885474A (en) * | 2021-04-20 | 2021-06-01 | 郑州大学第一附属医院 | Recognition early warning system and method for haze high-risk population |
| CN113012544A (en) * | 2021-02-01 | 2021-06-22 | 北京易优联科技有限公司 | Pulmonary function waveform simulation test method and device, computer equipment and storage medium |
| CN113331819A (en) * | 2021-06-01 | 2021-09-03 | 合肥工业大学 | Pulmonary function monitoring method, system, equipment and storage medium |
| CN113476034A (en) * | 2021-07-30 | 2021-10-08 | 深圳麦科田生物医疗技术股份有限公司 | Lung function diagnosis system |
-
2021
- 2021-12-29 CN CN202111634442.8A patent/CN114343610A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040260195A1 (en) * | 2001-11-05 | 2004-12-23 | Burrul Francisco Cardona | Multi-spirometer and method for measuring ventilatory function by spirometry |
| CN201855262U (en) * | 2010-09-16 | 2011-06-08 | 复旦大学附属中山医院 | System used for auxiliary diagnosis of lung function index |
| CN107314777A (en) * | 2017-06-28 | 2017-11-03 | 厦门美图移动科技有限公司 | The method and mobile terminal of a kind of dynamic setting meter step threshold value |
| CN110384501A (en) * | 2019-07-16 | 2019-10-29 | 广州红象医疗科技有限公司 | Pulmonary function monitoring system |
| CN111261300A (en) * | 2020-01-16 | 2020-06-09 | 复旦大学附属中山医院 | Method for acquiring normal predicted value of lung function parameter |
| CN113012544A (en) * | 2021-02-01 | 2021-06-22 | 北京易优联科技有限公司 | Pulmonary function waveform simulation test method and device, computer equipment and storage medium |
| CN112885474A (en) * | 2021-04-20 | 2021-06-01 | 郑州大学第一附属医院 | Recognition early warning system and method for haze high-risk population |
| CN113331819A (en) * | 2021-06-01 | 2021-09-03 | 合肥工业大学 | Pulmonary function monitoring method, system, equipment and storage medium |
| CN113476034A (en) * | 2021-07-30 | 2021-10-08 | 深圳麦科田生物医疗技术股份有限公司 | Lung function diagnosis system |
Non-Patent Citations (1)
| Title |
|---|
| 孙久银著: ""临床大内科常见疾病诊治"", 30 April 2020, 沈阳出版社, pages: 49 - 52 * |
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