CN108451077B - Mask and breathing detection method and device of mask - Google Patents

Mask and breathing detection method and device of mask Download PDF

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Publication number
CN108451077B
CN108451077B CN201710096741.8A CN201710096741A CN108451077B CN 108451077 B CN108451077 B CN 108451077B CN 201710096741 A CN201710096741 A CN 201710096741A CN 108451077 B CN108451077 B CN 108451077B
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data
breathing
intensity
respiration
user
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CN108451077A (en
Inventor
林蔚
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Aetheris Hongkong Ltd
Beijing Xiaomi Mobile Software Co Ltd
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Aetheris Hongkong Ltd
Beijing Xiaomi Mobile Software Co Ltd
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    • A—HUMAN NECESSITIES
    • A41—WEARING APPAREL
    • A41D—OUTERWEAR; PROTECTIVE GARMENTS; ACCESSORIES
    • A41D13/00—Professional, industrial or sporting protective garments, e.g. surgeons' gowns or garments protecting against blows or punches
    • A41D13/05—Professional, industrial or sporting protective garments, e.g. surgeons' gowns or garments protecting against blows or punches protecting only a particular body part
    • A41D13/11—Protective face masks, e.g. for surgical use, or for use in foul atmospheres
    • 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
    • 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
    • A61B5/0816—Measuring devices for examining respiratory frequency

Abstract

The disclosure relates to a mask and a method and a device for detecting breathing of the mask. The method comprises the following steps: acquiring initial breathing data of a user through a sensor assembly of the mask; processing the initial respiration data to obtain effective respiration data; determining the expiration starting time and the expiration ending time according to the effective respiration data, and determining the respiratory frequency of the user according to the expiration starting time and the expiration ending time; and determining the breathing intensity of the user according to the effective breathing data. The mask can detect the breathing frequency and the breathing intensity of a user when the user wears the mask, so that physiological parameters related to breathing can be provided for the user.

Description

Mask and breathing detection method and device of mask
Technical Field
The disclosure relates to the technical field of labor insurance products, in particular to a mask and a breathing detection method and device of the mask.
Background
Respiratory protection articles, particularly masks, are very important for preventing dust particle pollutants from entering human bodies, reducing damage to the health of dust-related personnel and preventing the spread of diseases.
Since the respiration of human body can be controlled by subjective factors, the respiration of human body has not been regarded as an important standard of human body physical sign in medicine. Therefore, it is important to be able to detect breathing in the natural state of a person.
Disclosure of Invention
In order to overcome the problems in the related art, the present disclosure provides a mask and a method and an apparatus for detecting breathing of the mask.
According to a first aspect of embodiments of the present disclosure, there is provided a mask comprising:
an outer cover body;
the filter element is arranged on the inner side of the outer cover body;
a processor; and the number of the first and second groups,
a sensor assembly coupled to the processor;
wherein the processor is configured to:
acquiring initial breathing data of a user through the sensor assembly;
processing the initial respiration data to obtain effective respiration data;
determining the expiration starting time and the expiration ending time according to the effective respiration data, and determining the respiratory frequency of the user according to the expiration starting time and the expiration ending time;
and determining the breathing intensity of the user according to the effective breathing data.
In one possible implementation, the processor is disposed outside the outer cover.
In one possible implementation, the sensor assembly is disposed inside the housing body, outside the filter element, and is connected to the processor through the housing body.
In one possible implementation, the sensor assembly includes at least one of:
Humidity sensors, temperature sensors, and pressure sensors.
According to a second aspect of the embodiments of the present disclosure, there is provided a breathing detection method for a mask, including:
acquiring initial breathing data of a user through a sensor assembly of the mask;
processing the initial respiration data to obtain effective respiration data;
determining the expiration starting time and the expiration ending time according to the effective respiration data, and determining the respiratory frequency of the user according to the expiration starting time and the expiration ending time;
and determining the breathing intensity of the user according to the effective breathing data.
In one possible implementation, processing the initial respiration data to obtain effective respiration data includes:
performing band-pass filtering on the initial respiration data to obtain first respiration data;
carrying out differential operation or derivation operation on the first respiratory data to obtain second respiratory data;
and filtering noise in the second respiratory data to obtain effective respiratory data.
In one possible implementation, the sensor assembly includes a humidity sensor, a temperature sensor, and a pressure sensor.
In one possible implementation, the acquiring initial breathing data of the user by the sensor assembly of the mask includes:
Acquiring third respiratory data of the user through the humidity sensor;
calculating the duration of time that the respiration intensity corresponding to the third respiration data is greater than a first threshold value;
if the duration is greater than a second threshold, treating the third breath data as the initial breath data;
and under the condition that the duration is less than or equal to the second threshold, acquiring fourth breathing data of the user through the temperature sensor, acquiring fifth breathing data of the user through the pressure sensor, and taking the third breathing data, the fourth breathing data and the fifth breathing data as the initial breathing data respectively.
According to a third aspect of the embodiments of the present disclosure, there is provided a breathing detection device of a mask, including:
the initial breathing data acquisition module is used for acquiring initial breathing data of a user through a sensor assembly of the mask;
the processing module is used for processing the initial respiration data to obtain effective respiration data;
the breathing frequency determining module is used for determining the expiration starting time and the expiration ending time according to the effective breathing data and determining the breathing frequency of the user according to the expiration starting time and the expiration ending time;
And the breathing intensity determination module is used for determining the breathing intensity of the user according to the effective breathing data.
In one possible implementation, the processing module includes:
the band-pass filtering submodule is used for performing band-pass filtering on the initial respiratory data to obtain first respiratory data;
the difference or derivation operation sub-module is used for carrying out difference operation or derivation operation on the first respiratory data to obtain second respiratory data;
and the noise filtering submodule is used for filtering the noise in the second respiratory data to obtain effective respiratory data.
In one possible implementation, the sensor assembly includes a humidity sensor, a temperature sensor, and a pressure sensor.
In one possible implementation, the initial respiration data acquisition module includes:
the third respiratory data acquisition submodule is used for acquiring third respiratory data of the user through the humidity sensor;
a duration determination submodule, configured to determine a duration during which the respiration intensity corresponding to the third respiration data is greater than a first threshold;
a first initial respiration data determination submodule configured to determine the third respiration data as the initial respiration data if the duration is greater than a second threshold;
And the second initial respiratory data determining submodule is used for acquiring fourth respiratory data of the user through the temperature sensor and acquiring fifth respiratory data of the user through the pressure sensor under the condition that the duration is less than or equal to the second threshold value, and taking the third respiratory data, the fourth respiratory data and the fifth respiratory data as the initial respiratory data respectively.
According to a fourth aspect of the embodiments of the present disclosure, there is provided a breathing detection device of a mask, including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to:
acquiring initial breathing data of a user through a sensor assembly of the mask;
processing the initial respiration data to obtain effective respiration data;
determining the expiration starting time and the expiration ending time according to the effective respiration data, and determining the respiratory frequency of the user according to the expiration starting time and the expiration ending time;
and determining the breathing intensity of the user according to the effective breathing data.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects: this openly acquires user's initial respiratory data through the sensor module of gauze mask, right initial respiratory data handles, obtains effective respiratory data, according to effective respiratory data confirms expiration starting time and expiration ending time, and confirm according to expiration starting time and expiration ending time user's respiratory frequency, according to effective respiratory data confirms user's respiratory intensity, can detect user's respiratory frequency and respiratory intensity when the gauze mask is worn to the user from this to can provide the physiological parameter relevant with breathing for the user.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
Fig. 1 is a schematic view of an outer mask body 11 of a mask according to an exemplary embodiment.
Fig. 2 is a schematic view of a filter element 12 of a facemask shown according to an exemplary embodiment.
Fig. 3 is a block diagram illustrating a structure of a mask according to an example of an exemplary embodiment.
Fig. 4 is a block diagram illustrating the structure of a mask according to another example of an exemplary embodiment.
Fig. 5 is a flow chart illustrating a method of breath detection of a mask according to an exemplary embodiment.
Fig. 6 is an exemplary flowchart illustrating a breathing detection method step S52 of a mask according to an exemplary embodiment.
Fig. 7 is a schematic diagram illustrating first breathing data in a breathing detection method of a mask according to an exemplary embodiment.
Fig. 8 is a diagram illustrating second breathing data in a method of detecting breathing in a mask according to an exemplary embodiment.
Fig. 9 is an exemplary flowchart illustrating a breathing detection method step S51 of a mask according to an exemplary embodiment.
Fig. 10 is a block diagram illustrating a breath detection device of a mask according to an exemplary embodiment.
Fig. 11 is a block diagram of a breath detection device of a mask according to an example of an exemplary embodiment.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
Fig. 1 is a schematic view of an outer mask body 11 of a mask according to an exemplary embodiment. As shown in fig. 1, the mask includes an outer mask body 11. The outer cover 11 may be provided with air holes 111.
Fig. 2 is a schematic view of a filter element 12 of a facemask shown according to an exemplary embodiment. As shown in fig. 2, the mask further includes a filter element 12 disposed inside the outer cover 11. The filter cartridge 12 is disposed inside the housing body 11, i.e., on the side adjacent to the user. The filter cartridge 12 is adapted to be placed over at least the mouth and nose of a user to filter the air breathed by the user. That is, the filter element 12 may be sized to cover only the breathing region of the mouth and nose of the user, or may cover a region other than the breathing concentration region of the mouth and nose of the user, for example, the cheek of the user, to expand the coverage of the filter element 12, thereby accommodating users with different sizes and different face shapes and improving the applicability of the filter element 12.
Fig. 3 is a block diagram illustrating a structure of a mask according to an example of an exemplary embodiment. The outer housing 11 and the filter insert 12 are not shown in fig. 3. As shown in fig. 3, the mask further comprises: a processor 13; and a sensor assembly 14 connected to the processor 13. The processor 13 may be configured to execute instructions to complete all or part of the steps of the mask breathing detection method. For example, the processor 13 may be configured to: acquiring initial breathing data of the user via the sensor assembly 14; processing the initial respiration data to obtain effective respiration data; determining the expiration starting time and the expiration ending time according to the effective respiration data, and determining the respiratory frequency of the user according to the expiration starting time and the expiration ending time; the respiration intensity of the user is determined from the valid respiration data. The above steps performed by the processor 13 will be described in detail later, and will not be described in detail here.
The mask of the embodiment can detect the breathing frequency and the breathing intensity of a user when the user wears the mask, so that physiological parameters related to breathing can be provided for the user.
In one possible implementation, the sensor assembly 14 includes at least one of: humidity sensors, temperature sensors, and pressure sensors.
In one possible implementation, the processor 13 is disposed outside the housing 11. By disposing the disposer 13 outside the housing 11, removal of the disposer 13 can be facilitated.
In other possible implementations, the disposer 13 can also be disposed inside the housing 13, outside the filter cartridge 12, or the disposer 13 can be disposed inside the filter cartridge 12, which is not limited herein.
In one possible implementation, the sensor assembly 14 is disposed inside the housing 11, outside the filter cartridge 12, and is coupled to the processor 13 through the housing 11. By arranging the sensor assembly 14 inside the housing 11 and outside the filter element 12, it is possible to avoid perforating the filter element 12 to ensure the filtering effect of the filter element 12.
In other possible implementations, the sensor assembly 14 may also be disposed inside the filter cartridge 12, and is not limited herein.
In one possible implementation, the mask further comprises: a communication component 14 connected to the processor 13. For example, the communication component 14 may include a bluetooth module, so that the mask can communicate with a mobile terminal (e.g., a mobile phone, a tablet computer) and the like through the bluetooth module.
Fig. 4 is a block diagram illustrating the structure of a mask according to another example of an exemplary embodiment. As shown in fig. 4:
In one possible implementation, the mask may further include: a memory 15 connected to the processor 13. The memory 15 may be configured to store various types of data to support the operation of the mask. Examples of such data include instructions for any method of operating on a mask, and the like. The memory 15 may be implemented by any type of volatile or non-volatile storage device or combination thereof, and is not limited thereto.
In one possible implementation, the mask may further include: an LED (Light-Emitting Diode) 16 connected to the processor 13. The LED16 may be used to indicate the operating status of the mask. For example, when the mask is in an operational state (e.g., the processor 13 and/or sensor assembly 14 of the mask are in an operational state), the LED16 is illuminated. The LED16 may be an RGB (Red, Green, Blue) LED.
In one possible implementation, the mask may further include: a power supply assembly 17 connected to the processor 13. The power supply unit 17 may supply power to the components of the mask. The power supply components 17 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to the mask. For example, the power supply assembly 17 may include a button cell battery.
In one possible implementation, the mask may further include: an I/O (Input/Output) interface 18. The I/O interface 18 may provide an interface between the processor 13 and a peripheral interface module. The peripheral interface module may include a button, such as a start button, among others. The start button can be used for starting the operating condition of gauze mask, makes the gauze mask breathe and detect.
Fig. 5 is a flow chart illustrating a method of breath detection of a mask according to an exemplary embodiment. The method may be applied to a mask as shown in fig. 3 or 4. As shown in fig. 5, the method includes the following steps.
In step S51, initial breathing data of the user is acquired by the sensor assembly of the mask.
In one possible implementation, the sensor assembly includes a humidity sensor, a temperature sensor, and a pressure sensor. In this implementation, third breathing data of the user may be acquired by the humidity sensor, and the third breathing data may be used as the initial breathing data; or, third respiratory data of the user can be acquired through the humidity sensor, fourth respiratory data of the user can be acquired through the temperature sensor, fifth respiratory data of the user can be acquired through the pressure sensor, and the third respiratory data, the fourth respiratory data and the fifth respiratory data are respectively used as initial respiratory data. The third breathing data may be humidity data detected by a humidity sensor, the fourth breathing data may be temperature data detected by a temperature sensor, and the fifth breathing data may be pressure data detected by a pressure sensor.
In another possible implementation, the sensor assembly includes a humidity sensor. In this implementation, third breathing data of the user may be acquired by the humidity sensor and taken as the initial breathing data.
In another possible implementation, the sensor assembly includes a humidity sensor and a temperature sensor. In this implementation, third breathing data of the user may be acquired by the humidity sensor, and the third breathing data may be used as the initial breathing data; or, third breathing data of the user can be acquired through a humidity sensor, fourth breathing data of the user can be acquired through a temperature sensor, and the third breathing data and the fourth breathing data are respectively used as initial breathing data.
In another possible implementation, the sensor assembly includes a humidity sensor and a pressure sensor. In this implementation, third breathing data of the user may be acquired by the humidity sensor, and the third breathing data may be used as the initial breathing data; or, the third breathing data of the user can be acquired through the humidity sensor, the fifth breathing data of the user can be acquired through the pressure sensor, and the third breathing data and the fifth breathing data are respectively used as initial breathing data.
In step S52, the initial respiration data is processed to obtain valid respiration data.
In one possible implementation, the processing of the initial respiration data may include a band-pass filtering process, a first arithmetic process, and a noise filtering process. The first operation may be a difference operation or a derivation operation.
In another possible implementation, processing the initial respiration data may include a band-pass filtering process.
In another possible implementation, the processing of the initial respiration data may include a band-pass filtering process and a first arithmetic process.
In another possible implementation, the processing of the initial respiration data may include a band-pass filtering process and a noise filtering process.
It should be noted that although the above description of processing the initial respiration data is made by taking the band-pass filtering process, the first arithmetic process and/or the noise filtering process as an example, those skilled in the art will understand that the present disclosure should not be limited thereto. The skilled person can choose how to process the initial breathing data according to the requirements.
As an example of this embodiment, when the third breathing data is used as the initial breathing data, the third breathing data may be processed to obtain effective breathing data corresponding to the third breathing data.
As another example of this embodiment, when the third respiratory data, the fourth respiratory data, and the fifth respiratory data are respectively used as the initial respiratory data, the third respiratory data, the fourth respiratory data, and the fifth respiratory data may be respectively processed to obtain effective respiratory data corresponding to the third respiratory data, effective respiratory data corresponding to the fourth respiratory data, and effective respiratory data corresponding to the fifth respiratory data.
As another example of this embodiment, when the third breathing data and the fourth breathing data are respectively used as the initial breathing data, the third breathing data and the fourth breathing data may be respectively processed to obtain valid breathing data corresponding to the third breathing data and valid breathing data corresponding to the fourth breathing data.
As another example of this embodiment, when the third respiratory data and the fifth respiratory data are respectively used as the initial respiratory data, the third respiratory data and the fifth respiratory data may be respectively processed to obtain effective respiratory data corresponding to the third respiratory data and effective respiratory data corresponding to the fifth respiratory data.
In step S53, the expiration start time and expiration end time are determined from the valid breathing data, and the breathing frequency of the user is determined from the expiration start time and expiration end time.
As an example of the present embodiment, when the third breathing data is used as the initial breathing data and the effective breathing data corresponding to the third breathing data is subjected to the first arithmetic processing, a time corresponding to a point where the median of the effective breathing data corresponding to the third breathing data is 0 and the rate of change is greater than 0 may be determined as the expiration start time, and a time corresponding to a point where the median of the effective breathing data corresponding to the third breathing data is 0 and the rate of change is less than 0 may be determined as the expiration end time. Here, the expiration end time may be regarded as an inspiration start time, and the expiration start time may be regarded as an inspiration end time. According to all the expiration starting time and expiration ending time in the effective respiration data corresponding to the third respiration data, the respiration frequency of the user can be calculated.
As another example of this embodiment, when the third breathing data is used as the initial breathing data and the effective breathing data corresponding to the third breathing data is not subjected to the first arithmetic processing, the time corresponding to the point with the smallest value in the effective breathing data corresponding to the third breathing data may be determined as the expiration start time, and the time corresponding to the point with the largest value in the effective breathing data corresponding to the third breathing data may be determined as the expiration end time. According to all the expiration starting time and expiration ending time in the effective respiration data corresponding to the third respiration data, the respiration frequency of the user can be calculated.
As another example of this embodiment, when the third breathing data, the fourth breathing data, and the fifth breathing data are respectively used as initial breathing data, and the effective breathing data is subjected to the first arithmetic processing, a time corresponding to a point where a median of the effective breathing data corresponding to the third breathing data is 0 and a change rate is greater than 0 may be determined as an expiration start time, a time corresponding to a point where the median of the effective breathing data corresponding to the third breathing data is 0 and the change rate is less than 0 may be determined as an expiration end time, and a breathing frequency corresponding to the third breathing data may be calculated according to all expiration start times and expiration end times in the effective breathing data corresponding to the third breathing data; the corresponding time of the effective respiration data median value which corresponds to the fourth respiration data and is 0 and the change rate of which is greater than 0 can be determined as the expiration starting time, the corresponding time of the effective respiration data median value which corresponds to the fourth respiration data and is 0 and the change rate of which is less than 0 can be determined as the expiration ending time, and the respiration frequency corresponding to the fourth respiration data can be calculated according to all the expiration starting times and the expiration ending times in the effective respiration data which corresponds to the fourth respiration data; the time corresponding to the point where the median of the effective respiratory data corresponding to the fifth respiratory data is 0 and the change rate is greater than 0 can be determined as the expiratory start time, the time corresponding to the point where the median of the effective respiratory data corresponding to the fifth respiratory data is 0 and the change rate is less than 0 can be determined as the expiratory end time, and the respiratory frequency corresponding to the fifth respiratory data can be calculated according to all the expiratory start times and the expiratory end times in the effective respiratory data corresponding to the fifth respiratory data. And the average value of the respiratory frequency corresponding to the third respiratory data, the respiratory frequency corresponding to the fourth respiratory data and the respiratory frequency corresponding to the fifth respiratory data can be used as the respiratory frequency of the user.
As another example of this embodiment, when the third respiratory data, the fourth respiratory data and the fifth respiratory data are respectively used as initial respiratory data and the effective respiratory data are not subjected to the first operation, the time corresponding to the point with the smallest median in the effective respiratory data corresponding to the third respiratory data may be determined as an exhalation start time, the time corresponding to the point with the largest median in the effective respiratory data corresponding to the third respiratory data may be determined as an exhalation end time, and the respiratory frequency corresponding to the third respiratory data is calculated according to all of the exhalation start times and the exhalation end times in the effective respiratory data corresponding to the third respiratory data; determining the moment corresponding to the minimum effective respiration data median point corresponding to the fourth respiration data as the expiration starting moment, determining the moment corresponding to the maximum effective respiration data median point corresponding to the fourth respiration data as the expiration ending moment, and calculating the respiration frequency corresponding to the fourth respiration data according to all the expiration starting moments and the expiration ending moments in the effective respiration data corresponding to the fourth respiration data; the moment corresponding to the point with the minimum value in the effective respiratory data corresponding to the fifth respiratory data can be determined as the expiration starting moment, the moment corresponding to the point with the maximum value in the effective respiratory data corresponding to the fifth respiratory data is determined as the expiration ending moment, and the respiratory frequency corresponding to the fifth respiratory data is calculated according to all the expiration starting moments and the expiration ending moments in the effective respiratory data corresponding to the fifth respiratory data. And the average value of the respiratory frequency corresponding to the third respiratory data, the respiratory frequency corresponding to the fourth respiratory data and the respiratory frequency corresponding to the fifth respiratory data can be used as the respiratory frequency of the user.
As another example of this embodiment, when the third breathing data and the fourth breathing data are respectively used as initial breathing data and the valid breathing data is subjected to the first arithmetic processing, a time corresponding to a point where a median of the valid breathing data corresponding to the third breathing data is 0 and a change rate is greater than 0 may be determined as an expiration start time, a time corresponding to a point where the median of the valid breathing data corresponding to the third breathing data is 0 and the change rate is less than 0 may be determined as an expiration end time, and a breathing frequency corresponding to the third breathing data may be calculated according to all expiration start times and expiration end times in the valid breathing data corresponding to the third breathing data; the corresponding time when the median of the effective respiration data corresponding to the fourth respiration data is 0 and the change rate is greater than 0 can be determined as the expiration starting time, the corresponding time when the median of the effective respiration data corresponding to the fourth respiration data is 0 and the change rate is less than 0 can be determined as the expiration ending time, and the respiration frequency corresponding to the fourth respiration data can be calculated according to all the expiration starting times and the expiration ending times in the effective respiration data corresponding to the fourth respiration data. And the average value of the breathing frequency corresponding to the third breathing data and the breathing frequency corresponding to the fourth breathing data can be used as the breathing frequency of the user.
As another example of this embodiment, when the third respiratory data and the fourth respiratory data are respectively used as initial respiratory data and the effective respiratory data are not subjected to the first arithmetic processing, the time corresponding to the point with the smallest median in the effective respiratory data corresponding to the third respiratory data may be determined as an exhalation start time, the time corresponding to the point with the largest median in the effective respiratory data corresponding to the third respiratory data may be determined as an exhalation end time, and the respiratory frequency corresponding to the third respiratory data is calculated according to all the exhalation start times and the exhalation end times in the effective respiratory data corresponding to the third respiratory data; the moment corresponding to the point with the minimum median in the effective respiration data corresponding to the fourth respiration data can be determined as the expiration starting moment, the moment corresponding to the point with the maximum median in the effective respiration data corresponding to the fourth respiration data can be determined as the expiration ending moment, and the respiration frequency corresponding to the fourth respiration data can be calculated according to all the expiration starting moments and the expiration ending moments in the effective respiration data corresponding to the fourth respiration data. And the average value of the breathing frequency corresponding to the third breathing data and the breathing frequency corresponding to the fourth breathing data can be used as the breathing frequency of the user.
As another example of this embodiment, when the third breathing data and the fifth breathing data are respectively used as initial breathing data, and the effective breathing data is subjected to the first operation, a time corresponding to a point where a median of the effective breathing data corresponding to the third breathing data is 0 and a change rate of the effective breathing data is greater than 0 may be determined as an exhalation start time, a time corresponding to a point where the median of the effective breathing data corresponding to the third breathing data is 0 and the change rate of the effective breathing data is less than 0 may be determined as an exhalation end time, and a breathing frequency corresponding to the third breathing data may be calculated according to all of the exhalation start times and the exhalation end times in the effective breathing data corresponding to the third breathing data; the time corresponding to the point where the median of the effective respiratory data corresponding to the fifth respiratory data is 0 and the change rate is greater than 0 can be determined as the expiratory start time, the time corresponding to the point where the median of the effective respiratory data corresponding to the fifth respiratory data is 0 and the change rate is less than 0 can be determined as the expiratory end time, and the respiratory frequency corresponding to the fifth respiratory data can be calculated according to all the expiratory start times and the expiratory end times in the effective respiratory data corresponding to the fifth respiratory data. And the average value of the breathing frequency corresponding to the third breathing data and the breathing frequency corresponding to the fifth breathing data can be used as the breathing frequency of the user.
As another example of this embodiment, when the third breathing data and the fifth breathing data are respectively used as initial breathing data and the effective breathing data is not subjected to the first operation, a time corresponding to a point with a minimum value in the effective breathing data corresponding to the third breathing data may be determined as an exhalation start time, a time corresponding to a point with a maximum value in the effective breathing data corresponding to the third breathing data may be determined as an exhalation end time, and a breathing frequency corresponding to the third breathing data is calculated according to all of the exhalation start times and the exhalation end times in the effective breathing data corresponding to the third breathing data; the moment corresponding to the point with the minimum median in the effective respiration data corresponding to the fourth respiration data can be determined as the expiration starting moment, the moment corresponding to the point with the maximum median in the effective respiration data corresponding to the fourth respiration data can be determined as the expiration ending moment, and the respiration frequency corresponding to the fourth respiration data can be calculated according to all the expiration starting moments and the expiration ending moments in the effective respiration data corresponding to the fourth respiration data. And the average value of the breathing frequency corresponding to the third breathing data and the breathing frequency corresponding to the fifth breathing data can be used as the breathing frequency of the user.
In step S54, the user' S breathing intensity is determined from the valid breathing data.
As an example of the present embodiment, when the third breathing data is used as the initial breathing data and the effective breathing data corresponding to the third breathing data is subjected to the first arithmetic processing, a time interval between adjacent expiration start times and expiration end times may be determined as one expiration time interval, a time start point of each expiration time interval is the expiration start time, and a time end point is the expiration end time; and determining a time interval between the adjacent expiration ending time and expiration starting time as a primary inspiration time interval, wherein the time starting point of each inspiration time interval is the expiration ending time, and the time end point is the expiration starting time. The expiratory intensity for each expiratory time interval may be determined from the maximum humidity value in that expiratory time interval, e.g. the maximum humidity value in each expiratory time interval may be determined
Figure BDA0001230503970000101
Determining the expiratory intensity of the expiratory time interval; the inspiratory strength of each inspiratory time interval may be determined based on the maximum humidity value in that interval, e.g., the maximum humidity value in each inspiratory time interval may be determined
Figure BDA0001230503970000102
The time is determined as the inspiratory intensity of the inspiratory time interval. An average of the expiratory intensities for all expiratory time intervals may be determined as the expiratory intensity of the user, an average of the inspiratory intensities for all inspiratory time intervals may be determined as the inspiratory intensity of the user, and an average of the expiratory intensity and the inspiratory intensity of the user may be determined as the respiratory intensity of the user.
As another example of the present embodiment, in a case where the third breathing data is used as the initial breathing data, and the valid breathing data corresponding to the third breathing data is not subjected to the first arithmetic processing, the average value of the absolute values of the humidity values of all peaks and troughs in the valid breathing data corresponding to the third breathing data may be calculated, and the average value may be usedOf average value
Figure BDA0001230503970000111
The multiple is determined as the breathing intensity of the user.
As another example of the present embodiment, when the third breathing data, the fourth breathing data and the fifth breathing data are respectively used as the initial breathing data, and the effective breathing data is subjected to the first arithmetic processing, for the effective breathing data corresponding to the third breathing data, the expiratory humidity intensity of each expiratory time interval may be determined according to the maximum humidity value in each expiratory time interval, for example, the maximum humidity value in each expiratory time interval may be used
Figure BDA0001230503970000112
Determining the expiratory humidity intensity of the expiratory time interval; the inspiratory humidity level for each inspiratory time interval may be determined based on the maximum humidity value for that inspiratory time interval, e.g., the maximum humidity value for each inspiratory time interval may be determined
Figure BDA0001230503970000113
Determining the inspiration humidity intensity of the inspiration time interval; an average of the expiratory humidity intensities for all expiratory time intervals may be determined as the expiratory humidity intensity of the user, an average of the inspiratory humidity intensities for all inspiratory time intervals may be determined as the inspiratory humidity intensity of the user, and an average of the expiratory humidity intensity and the inspiratory humidity intensity of the user may be determined as the respiratory humidity intensity of the user. The breathing temperature intensity and the breathing pressure intensity of the user can be determined by adopting a similar method, and the breathing intensity of the user can be determined according to the breathing humidity intensity, the breathing temperature intensity and the breathing pressure intensity of the user and the weight values corresponding to the breathing humidity intensity, the breathing temperature intensity and the breathing pressure intensity of the user. For example, S ═ Q1C1+Q2C2+Q3C3Wherein S represents the respiratory intensity of the user, C1Indicating the intensity of the user's respiratory humidity, Q 1A weight value C representing the intensity of the respiratory humidity of the user2Indicating the intensity of the user's breathing temperature, Q2A weight value C corresponding to the intensity of the user's respiratory temperature3Representing the intensity of the user's breathing pressure, Q3And represents the weight value corresponding to the breathing pressure intensity of the user.
As another example of the present embodiment, when the third breathing data, the fourth breathing data, and the fifth breathing data are respectively used as the initial breathing data, and the valid breathing data is not subjected to the first arithmetic processing, an average value of absolute values of humidity values of all peaks and troughs in the valid breathing data corresponding to the third breathing data may be calculated, and the average value may be calculated
Figure BDA0001230503970000114
Determining the breath humidity intensity of the user; calculating the average value of the absolute values of the temperature values of all peaks and troughs in the effective respiration data corresponding to the fourth respiration data, and calculating the average value of the absolute values
Figure BDA0001230503970000121
Determining the intensity of the breath temperature of the user; calculating the average value of the absolute values of the pressure values of all peaks and troughs in the effective respiration data corresponding to the fifth respiration data, and calculating the average value of the absolute values
Figure BDA0001230503970000122
The multiple is determined as the intensity of the user's breathing pressure. And the breathing intensity of the user can be determined according to the breathing humidity intensity, the breathing temperature intensity and the breathing pressure intensity of the user and the weight values corresponding to the breathing humidity intensity, the breathing temperature intensity and the breathing pressure intensity of the user. For example, S ═ Q 1C1+Q2C2+Q3C3Wherein S represents the respiratory intensity of the user, C1Indicating the intensity of the user's respiratory humidity, Q1A weight value C representing the intensity of the respiratory humidity of the user2Indicating the intensity of the user's breathing temperature, Q2Represents the userThe respiratory temperature intensity of C3Representing the intensity of the user's breathing pressure, Q3And represents the weight value corresponding to the breathing pressure intensity of the user.
As another example of the present embodiment, when the third breathing data and the fourth breathing data are respectively used as the initial breathing data and the valid breathing data is subjected to the first arithmetic processing, for the valid breathing data corresponding to the third breathing data, the expiratory humidity intensity of each expiratory time interval may be determined according to the maximum humidity value in each expiratory time interval, for example, the maximum humidity value in each expiratory time interval may be determined
Figure BDA0001230503970000123
Determining the expiratory humidity intensity of the expiratory time interval; for valid breath data corresponding to the fourth breath data, the inspiratory humidity level for each inspiratory time interval may be determined based on the maximum humidity value for that inspiratory time interval, e.g., the maximum humidity value for each inspiratory time interval may be determined
Figure BDA0001230503970000124
Determining the inspiration humidity intensity of the inspiration time interval; an average of the expiratory humidity intensities for all expiratory time intervals may be determined as the expiratory humidity intensity of the user, an average of the inspiratory humidity intensities for all inspiratory time intervals may be determined as the inspiratory humidity intensity of the user, and an average of the expiratory humidity intensity and the inspiratory humidity intensity of the user may be determined as the respiratory humidity intensity of the user. The breathing temperature intensity of the user can be determined by adopting a similar method, and the breathing intensity of the user can be determined according to the breathing humidity intensity and the breathing temperature intensity of the user and the weight values corresponding to the breathing humidity intensity and the breathing temperature intensity of the user. For example, S ═ Q1C1+Q2C2Wherein S represents the respiratory intensity of the user, C1Indicating the intensity of the user's respiratory humidity, Q1A weight value C representing the intensity of the respiratory humidity of the user2Indicating the intensity of the user's breathing temperature, Q2And the weight value corresponding to the respiration temperature intensity of the user is represented.
As another example of the present embodiment, when the third breathing data and the fourth breathing data are respectively used as the initial breathing data, and the valid breathing data is not subjected to the first arithmetic processing, an average value of absolute values of humidity values of all peaks and troughs in the valid breathing data corresponding to the third breathing data may be calculated, and the average value may be averaged
Figure BDA0001230503970000125
Determining the breath humidity intensity of the user; calculating the average value of the absolute values of the temperature values of all peaks and troughs in the effective respiration data corresponding to the fourth respiration data, and calculating the average value of the absolute values
Figure BDA0001230503970000131
The multiple is determined as the intensity of the user's breathing temperature. And the breathing intensity of the user can be determined according to the breathing humidity intensity, the breathing temperature intensity and the breathing pressure intensity of the user and the weight values corresponding to the breathing humidity intensity and the breathing temperature intensity of the user. For example, S ═ Q1C1+Q2C2Wherein S represents the respiratory intensity of the user, C1Indicating the intensity of the user's respiratory humidity, Q1A weight value C representing the intensity of the respiratory humidity of the user2Indicating the intensity of the user's breathing temperature, Q2And the weight value corresponding to the respiration temperature intensity of the user is represented.
As another example of the present embodiment, when the third breathing data and the fifth breathing data are respectively used as the initial breathing data, and the effective breathing data is subjected to the first arithmetic processing, for the effective breathing data corresponding to the third breathing data, the expiratory humidity intensity of each expiratory time interval may be determined according to the maximum humidity value in each expiratory time interval, for example, the maximum humidity value in each expiratory time interval may be determined
Figure BDA0001230503970000132
Determining the expiratory humidity intensity of the expiratory time interval; the inspiratory humidity level for each inspiratory time interval may be determined based on the maximum humidity value for that inspiratory time interval, e.g., the maximum humidity value for each inspiratory time interval may be determined
Figure BDA0001230503970000133
Determining the inspiration humidity intensity of the inspiration time interval; an average of the expiratory humidity intensities for all expiratory time intervals may be determined as the expiratory humidity intensity of the user, an average of the inspiratory humidity intensities for all inspiratory time intervals may be determined as the inspiratory humidity intensity of the user, and an average of the expiratory humidity intensity and the inspiratory humidity intensity of the user may be determined as the respiratory humidity intensity of the user. The breathing pressure intensity of the user can be determined by adopting a similar method, and the breathing intensity of the user can be determined according to the breathing humidity intensity and the breathing pressure intensity of the user and the weight values corresponding to the breathing humidity intensity and the breathing pressure intensity of the user. For example, S ═ Q1C1+Q3C3Wherein S represents the respiratory intensity of the user, C1Indicating the intensity of the user's respiratory humidity, Q1A weight value C representing the intensity of the respiratory humidity of the user 3Representing the intensity of the user's breathing pressure, Q3And represents the weight value corresponding to the breathing pressure intensity of the user.
As another example of the present embodiment, in a case where the third breathing data and the fifth breathing data are respectively used as the initial breathing data, and the valid breathing data is not subjected to the first arithmetic processing, an average value of absolute values of humidity values of all peaks and troughs in the valid breathing data corresponding to the third breathing data may be calculated, and the average value may be averaged
Figure BDA0001230503970000134
Determining the breath humidity intensity of the user; calculating absolute values of pressure values of all peaks and troughs in effective respiration data corresponding to the fifth respiration dataAverage value and the average value
Figure BDA0001230503970000135
The multiple is determined as the intensity of the user's breathing pressure. And the breathing intensity of the user can be determined according to the breathing humidity intensity and the breathing pressure intensity of the user and the weight values corresponding to the breathing humidity intensity and the breathing pressure intensity of the user. For example, S ═ Q1C1+Q3C3Wherein S represents the respiratory intensity of the user, C1Indicating the intensity of the user's respiratory humidity, Q1A weight value C representing the intensity of the respiratory humidity of the user3Representing the intensity of the user's breathing pressure, Q 3And represents the weight value corresponding to the breathing pressure intensity of the user.
The embodiment can detect the breathing frequency and the breathing intensity of a user when the user wears the mask, so that physiological parameters related to breathing can be provided for the user.
Fig. 6 is an exemplary flowchart illustrating a breathing detection method step S52 of a mask according to an exemplary embodiment. As shown in fig. 6, the processing of the initial respiration data to obtain effective respiration data includes:
in step S61, the initial respiration data is band-pass filtered to obtain first respiration data.
For example, the breathing frequency of the human body is generally 12 to 44 times/min, i.e. 0.2 to 0.73 times/sec, the passing frequency in the band-pass filtering process may be 0.2 to 0.73Hz, which is not limited herein.
The initial respiration data are subjected to band-pass filtering to obtain the first respiration data, so that the influence of data with other frequencies on respiration detection can be avoided, and the accuracy of the respiration detection can be improved.
In step S62, the first breathing data is subjected to a difference operation or a derivative operation to obtain second breathing data.
Fig. 7 is a schematic diagram illustrating first breathing data in a breathing detection method of a mask according to an exemplary embodiment.
Fig. 8 is a diagram illustrating second breathing data in a method of detecting breathing in a mask according to an exemplary embodiment.
Referring to fig. 7 and 8, the second respiratory data is obtained by performing a difference operation or a derivative operation on the first respiratory data, so that the extreme point of the respiratory data can be conveniently found.
In step S63, noise in the second respiration data is filtered out, and effective respiration data is obtained.
As an example of this embodiment, data smaller than the second threshold in the second respiration data may be used as noise, and the data smaller than the second threshold in the second respiration data may be filtered to obtain effective respiration data, so that the influence of the noise on respiration detection can be reduced, and the accuracy of the respiration detection can be improved.
Fig. 9 is an exemplary flowchart illustrating a breathing detection method step S51 of a mask according to an exemplary embodiment. As shown in fig. 9, the method for acquiring initial breathing data of a user by a sensor assembly of the mask includes:
in step S91, third respiratory data of the user is acquired by the humidity sensor.
In step S92, a duration of time during which the intensity of respiration corresponding to the third respiration data is greater than the first threshold is calculated.
In step S93, if the duration is greater than the second threshold, the third breathing data is regarded as the initial breathing data.
In step S94, in the case that the duration is less than or equal to the second threshold, fourth breathing data of the user is acquired through the temperature sensor, fifth breathing data of the user is acquired through the pressure sensor, and the third breathing data, the fourth breathing data, and the fifth breathing data are respectively used as initial breathing data.
In this example, the breath data is complemented by the temperature sensor and the pressure sensor to improve the accuracy of the breath detection in case the third breath data corresponds to a breath intensity being greater than the first threshold for a duration being less than or equal to the second threshold.
Fig. 10 is a block diagram illustrating a breath detection device of a mask according to an exemplary embodiment. Referring to fig. 10, the apparatus includes an initial respiration data acquisition module 101, a processing module 102, a respiration rate determination module 103, and a respiration intensity determination module 104. The initial breathing data acquisition module 101 is configured to acquire initial breathing data of a user through a sensor assembly of the mask. The processing module 102 is configured to process the initial respiration data to obtain valid respiration data. The respiratory rate determination module 103 is configured to determine an exhalation start time and an exhalation end time from the valid breathing data and determine the respiratory rate of the user from the exhalation start time and the exhalation end time. The respiration intensity determination module 104 is configured to determine the respiration intensity of the user from the valid respiration data.
Fig. 11 is a block diagram of a breath detection device of a mask according to an example of an exemplary embodiment. Referring to fig. 11:
in one possible implementation, the processing module 102 includes a band-pass filtering sub-module 1021, a difference or derivative operation sub-module 1022, and a noise filtering sub-module 1023. The band-pass filtering submodule 1021 is configured to band-pass filter the initial respiration data, resulting in first respiration data. The difference or derivative sub-module 1022 is configured to perform a difference operation or a derivative operation on the first respiratory data to obtain second respiratory data. The noise filtering sub-module 1023 is configured to filter noise in the second breathing data, resulting in valid breathing data.
In one possible implementation, the sensor assembly includes a humidity sensor, a temperature sensor, and a pressure sensor.
In one possible implementation, the initial respiration data acquisition module 101 includes a third respiration data acquisition submodule 1011, a duration determination submodule 1012, a first initial respiration data determination submodule 1013, and a second initial respiration data determination submodule 1014. The third respiratory data acquisition sub-module 1011 is configured to acquire third respiratory data of the user via a humidity sensor. The duration determination submodule 1012 is configured to determine a duration for which the third breath data corresponds to a breath intensity greater than a first threshold. The first initial respiration data determination submodule 1013 is configured to treat the third respiration data as initial respiration data if the duration is greater than a second threshold. The second initial respiration data determination submodule 1014 is configured to acquire fourth respiration data of the user through the temperature sensor, acquire fifth respiration data of the user through the pressure sensor, and take the third respiration data, the fourth respiration data, and the fifth respiration data as initial respiration data, respectively, in a case where the duration is less than or equal to a second threshold.
The embodiment can detect the breathing frequency and the breathing intensity of a user when the user wears the mask, so that physiological parameters related to breathing can be provided for the user.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims (6)

1. A mask, comprising:
the air vent is arranged on the outer cover body;
the filter element is arranged on the inner side of the outer cover body;
a processor; and the number of the first and second groups,
a sensor assembly coupled to the processor, the sensor assembly comprising: humidity sensors, temperature sensors and pressure sensors;
wherein the processor is configured to:
acquiring, by the sensor assembly, initial breathing data of a user, the initial breathing data comprising: acquiring third respiratory data of the user through the humidity sensor, fourth respiratory data of the user through the temperature sensor and fifth respiratory data of the user through the pressure sensor;
processing the initial respiration data to obtain effective respiration data, wherein the effective respiration data comprises effective respiration data corresponding to third respiration data, effective respiration data corresponding to fourth respiration data and effective respiration data corresponding to fifth respiration data;
determining the expiration starting time and the expiration ending time according to the effective respiration data, and determining the respiratory frequency of the user according to the expiration starting time and the expiration ending time;
Determining a breathing intensity of the user from the valid breathing data,
wherein, the processing the initial respiration data to obtain effective respiration data comprises:
performing band-pass filtering on the initial respiration data to obtain first respiration data;
carrying out differential operation or derivation operation on the first respiratory data to obtain second respiratory data;
filtering noise in the second respiratory data to obtain effective respiratory data;
wherein said determining a respiratory intensity of the user from the valid respiratory data comprises:
determining a plurality of expiration time intervals and a plurality of inspiration time intervals corresponding to each effective respiration data respectively according to a plurality of pairs of adjacent expiration starting time and expiration ending time corresponding to each effective respiration data, determining interval expiration intensity corresponding to the expiration time intervals according to the maximum value of the effective respiration data corresponding to each expiration time interval, determining interval inspiration intensity corresponding to the inspiration time intervals according to the maximum value of the effective respiration data corresponding to each inspiration time interval, determining the average value of all interval expiration intensities of each effective respiration data as corresponding user expiration intensity, determining the average value of all interval inspiration intensities of all inspiration time intervals of each effective respiration data as corresponding user inspiration intensity, and determining the average value of the user expiration intensity and the user inspiration intensity of each effective respiration data as corresponding type respiration intensity, obtaining a respiration humidity intensity of effective respiration data corresponding to the third respiration data, a respiration temperature intensity of effective respiration data corresponding to the fourth respiration data, and a respiration pressure intensity of effective respiration data corresponding to the fifth respiration data;
And determining the breathing intensity of the user according to the breathing humidity intensity, the breathing temperature intensity, the breathing pressure intensity and the weight values corresponding to the breathing humidity intensity, the breathing temperature intensity and the breathing pressure intensity respectively.
2. The mask of claim 1 wherein said processor is disposed on the outside of said outer mask body.
3. The mask of claim 2 wherein said sensor assembly is disposed inside said shell, outside said filter element, and is connected to said processor through said shell.
4. A method for detecting breathing of a mask, which is used for detecting breathing using the mask according to any one of claims 1 to 3, comprising:
through the initial breathing data of user is acquireed to the sensor module of gauze mask, the sensor module includes: humidity sensor, temperature sensor and pressure sensor, the initial breathing data includes: acquiring third respiratory data of the user through the humidity sensor, fourth respiratory data of the user through the temperature sensor and fifth respiratory data of the user through the pressure sensor;
processing the initial respiration data to obtain effective respiration data, wherein the effective respiration data comprises effective respiration data corresponding to third respiration data, effective respiration data corresponding to fourth respiration data and effective respiration data corresponding to fifth respiration data;
Determining the expiration starting time and the expiration ending time according to the effective respiration data, and determining the respiratory frequency of the user according to the expiration starting time and the expiration ending time;
determining a breathing intensity of the user from the valid breathing data,
wherein, processing the initial respiration data to obtain effective respiration data comprises:
performing band-pass filtering on the initial respiration data to obtain first respiration data;
carrying out differential operation or derivation operation on the first respiratory data to obtain second respiratory data;
filtering noise in the second respiratory data to obtain effective respiratory data;
wherein said determining a respiratory intensity of the user from the valid respiratory data comprises:
determining a plurality of expiration time intervals and a plurality of inspiration time intervals corresponding to each effective respiration data respectively according to a plurality of pairs of adjacent expiration starting time and expiration ending time corresponding to each effective respiration data, determining interval expiration intensity corresponding to the expiration time intervals according to the maximum value of the effective respiration data corresponding to each expiration time interval, determining interval inspiration intensity corresponding to the inspiration time intervals according to the maximum value of the effective respiration data corresponding to each inspiration time interval, determining the average value of all interval expiration intensities of each effective respiration data as corresponding user expiration intensity, determining the average value of all interval inspiration intensities of all inspiration time intervals of each effective respiration data as corresponding user inspiration intensity, and determining the average value of the user expiration intensity and the user inspiration intensity of each effective respiration data as corresponding type respiration intensity, obtaining a respiration humidity intensity of effective respiration data corresponding to the third respiration data, a respiration temperature intensity of effective respiration data corresponding to the fourth respiration data, and a respiration pressure intensity of effective respiration data corresponding to the fifth respiration data;
And determining the breathing intensity of the user according to the breathing humidity intensity, the breathing temperature intensity, the breathing pressure intensity and the weight values corresponding to the breathing humidity intensity, the breathing temperature intensity and the breathing pressure intensity respectively.
5. A breathing test device for a mask for performing breathing test using the mask according to any one of claims 1 to 3, comprising:
the initial respiration data acquisition module is used for acquiring initial respiration data of a user through a sensor assembly of the mask, wherein the sensor assembly comprises: humidity sensor, temperature sensor and pressure sensor, the initial breathing data includes: acquiring third respiratory data of the user through the humidity sensor, fourth respiratory data of the user through the temperature sensor and fifth respiratory data of the user through the pressure sensor;
the processing module is used for processing the initial respiration data to obtain effective respiration data, wherein the effective respiration data comprises effective respiration data corresponding to third respiration data, effective respiration data corresponding to fourth respiration data and effective respiration data corresponding to fifth respiration data;
the breathing frequency determining module is used for determining the expiration starting time and the expiration ending time according to the effective breathing data and determining the breathing frequency of the user according to the expiration starting time and the expiration ending time;
A breathing intensity determination module for determining a breathing intensity of the user from the valid breathing data,
wherein the processing module comprises:
the band-pass filtering submodule is used for performing band-pass filtering on the initial respiratory data to obtain first respiratory data;
the difference or derivation operation sub-module is used for carrying out difference operation or derivation operation on the first respiratory data to obtain second respiratory data;
the noise filtering submodule is used for filtering noise in the second respiratory data to obtain effective respiratory data;
wherein said determining a respiratory intensity of the user from the valid respiratory data comprises:
determining a plurality of expiration time intervals and a plurality of inspiration time intervals corresponding to each effective respiration data respectively according to a plurality of pairs of adjacent expiration starting time and expiration ending time corresponding to each effective respiration data, determining interval expiration intensity corresponding to the expiration time intervals according to the maximum value of the effective respiration data corresponding to each expiration time interval, determining interval inspiration intensity corresponding to the inspiration time intervals according to the maximum value of the effective respiration data corresponding to each inspiration time interval, determining the average value of all interval expiration intensities of each effective respiration data as corresponding user expiration intensity, determining the average value of all interval inspiration intensities of all inspiration time intervals of each effective respiration data as corresponding user inspiration intensity, and determining the average value of the user expiration intensity and the user inspiration intensity of each effective respiration data as corresponding type respiration intensity, obtaining a respiration humidity intensity of effective respiration data corresponding to the third respiration data, a respiration temperature intensity of effective respiration data corresponding to the fourth respiration data, and a respiration pressure intensity of effective respiration data corresponding to the fifth respiration data;
And determining the breathing intensity of the user according to the breathing humidity intensity, the breathing temperature intensity, the breathing pressure intensity and the weight values corresponding to the breathing humidity intensity, the breathing temperature intensity and the breathing pressure intensity respectively.
6. A breathing test device for a mask for performing breathing test using the mask according to any one of claims 1 to 3, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to:
through the initial breathing data of user is acquireed to the sensor module of gauze mask, the sensor module includes: humidity sensor, temperature sensor and pressure sensor, the initial breathing data includes: acquiring third respiratory data of the user through the humidity sensor, fourth respiratory data of the user through the temperature sensor and fifth respiratory data of the user through the pressure sensor;
processing the initial respiration data to obtain effective respiration data, wherein the effective respiration data comprises effective respiration data corresponding to third respiration data, effective respiration data corresponding to fourth respiration data and effective respiration data corresponding to fifth respiration data;
Determining the expiration starting time and the expiration ending time according to the effective respiration data, and determining the respiratory frequency of the user according to the expiration starting time and the expiration ending time;
determining a breathing intensity of the user from the valid breathing data,
wherein, the processing the initial respiration data to obtain effective respiration data comprises:
performing band-pass filtering on the initial respiration data to obtain first respiration data;
carrying out differential operation or derivation operation on the first respiratory data to obtain second respiratory data;
filtering noise in the second respiratory data to obtain effective respiratory data;
wherein said determining a respiratory intensity of the user from the valid respiratory data comprises:
determining a plurality of expiration time intervals and a plurality of inspiration time intervals corresponding to each effective respiration data respectively according to a plurality of pairs of adjacent expiration starting time and expiration ending time corresponding to each effective respiration data, determining interval expiration intensity corresponding to the expiration time intervals according to the maximum value of the effective respiration data corresponding to each expiration time interval, determining interval inspiration intensity corresponding to the inspiration time intervals according to the maximum value of the effective respiration data corresponding to each inspiration time interval, determining the average value of all interval expiration intensities of each effective respiration data as corresponding user expiration intensity, determining the average value of all interval inspiration intensities of all inspiration time intervals of each effective respiration data as corresponding user inspiration intensity, and determining the average value of the user expiration intensity and the user inspiration intensity of each effective respiration data as corresponding type respiration intensity, obtaining a respiration humidity intensity of effective respiration data corresponding to the third respiration data, a respiration temperature intensity of effective respiration data corresponding to the fourth respiration data, and a respiration pressure intensity of effective respiration data corresponding to the fifth respiration data;
And determining the breathing intensity of the user according to the breathing humidity intensity, the breathing temperature intensity, the breathing pressure intensity and the weight values corresponding to the breathing humidity intensity, the breathing temperature intensity and the breathing pressure intensity respectively.
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