CN113520313A

CN113520313A - Maximum oxygen uptake measurement method and device, wearable device and storage medium

Info

Publication number: CN113520313A
Application number: CN202110632541.6A
Authority: CN
Inventors: 何岸; 孙小玄
Original assignee: DO Technology Co ltd
Current assignee: DO Technology Co ltd
Priority date: 2021-06-07
Filing date: 2021-06-07
Publication date: 2021-10-22

Abstract

The embodiment of the application provides a method and a device for measuring maximum oxygen uptake, wearable equipment and a storage medium. The method comprises the following steps: calculating a first maximum oxygen uptake amount according to the user reference maximum heart rate, the reference maximum oxygen uptake amount and the effective maximum heart rate in the current exercise process of the user; acquiring historical maximum oxygen uptake of the last exercise of the user, and executing Kalman filtering processing on the historical maximum oxygen uptake and the first maximum oxygen uptake to obtain a second maximum oxygen uptake; judging whether the difference value between the second maximum oxygen uptake amount and the historical maximum oxygen uptake amount is smaller than or equal to a first oxygen uptake threshold value; and when the difference value between the second maximum oxygen uptake amount and the historical maximum oxygen uptake amount is smaller than or equal to the first oxygen uptake threshold value, outputting the second maximum oxygen uptake amount as the current maximum oxygen uptake amount. Therefore, the current maximum oxygen uptake data can be obtained through the maximum oxygen uptake in the current exercise process and the historical maximum oxygen uptake, and the accuracy of measuring the maximum oxygen uptake data is improved.

Description

Maximum oxygen uptake measurement method and device, wearable device and storage medium

Technical Field

The invention relates to the technical field of wearable equipment, in particular to a method and a device for measuring maximum oxygen uptake, wearable equipment and a storage medium.

Background

The metabolism of substances and energy is the basis of the functional activities of various tissues and organs in the body, and the motor ability is the centralized expression of various functional activities of the body. The exercise capacity can be divided into aerobic exercise and anaerobic exercise according to the energy mode. The capacity for aerobic function is the basis, with maximum oxygen uptake being the most common and effective method for assessing aerobic capacity.

Maximum oxygen uptake is also known as maximum oxygen uptake volume (V0)₂max) is the maximum content of oxygen taken by a human body from the maximum intensity of exercise to the time when the human body cannot insist on the exercise, and is one of the main indexes for measuring the aerobic exercise capacity of the human body, and the maximum oxygen intake at a high level is the basis of the high-level aerobic exercise capacity. The maximum oxygen uptake is in milliliters per kilogram per minute (ml/kg/min).

The current methods for measuring the maximum oxygen uptake include a direct method and an indirect method, wherein the direct method is to directly measure the oxygen uptake of a subject through professional equipment, and the maximum oxygen uptake of the subject is confirmed through related test items of the professional equipment. Indirect methods infer maximum oxygen uptake by specifying characteristics of the subject such as heart rate, time, etc. resulting from a fixed exercise task.

Disclosure of Invention

In view of the above, an object of the present application is to provide a method and an apparatus for calculating a maximum oxygen uptake, a wearable device, and a storage medium. By the method, the maximum oxygen uptake data of the user can be measured under the condition that the user runs outdoors, and the complexity of the process of measuring the maximum oxygen uptake data of the user can be reduced.

The application provides a maximum oxygen content measuring method, which is applied to wearable equipment and comprises the following steps: calculating a first maximum oxygen uptake amount according to the user reference maximum heart rate, the reference maximum oxygen uptake amount and the effective maximum heart rate in the current exercise process of the user; acquiring historical maximum oxygen uptake of the last exercise of the user, and executing Kalman filtering processing on the historical maximum oxygen uptake and the first maximum oxygen uptake to obtain a second maximum oxygen uptake; judging whether the difference value between the second maximum oxygen uptake amount and the historical maximum oxygen uptake amount is smaller than or equal to a first oxygen uptake threshold value; and when the difference value between the second maximum oxygen uptake amount and the historical maximum oxygen uptake amount is smaller than or equal to the first oxygen uptake threshold value, outputting the second maximum oxygen uptake amount as the current maximum oxygen uptake amount. Therefore, the current maximum oxygen uptake data can be obtained through the maximum oxygen uptake in the current exercise process and the historical maximum oxygen uptake, and the accuracy of measuring the maximum oxygen uptake data is improved.

Optionally, with reference to the first aspect, in a possible implementation manner, the method further includes: and when the difference value between the second maximum oxygen uptake amount and the historical maximum oxygen uptake amount is larger than the first oxygen uptake threshold value, determining the current maximum oxygen uptake amount according to the historical maximum oxygen uptake amount.

Optionally, with reference to the first aspect, in a possible implementation manner, the step of determining the current maximum oxygen uptake amount according to the historical maximum oxygen uptake amount includes: when the second maximum oxygen uptake is larger than the historical maximum oxygen uptake, adding a preset oxygen uptake gradient value to the historical maximum oxygen uptake to serve as the current maximum oxygen uptake; and when the historical maximum oxygen uptake is larger than the second maximum oxygen uptake, subtracting a preset oxygen uptake gradient value from the historical maximum oxygen uptake to serve as the current maximum oxygen uptake.

Optionally, with reference to the first aspect, in a possible implementation manner, the method further includes: and when the difference value between the first maximum oxygen uptake amount and the historical maximum oxygen uptake amount is larger than the second oxygen uptake threshold value, outputting the historical maximum oxygen uptake amount as the current maximum oxygen uptake amount.

Optionally, with reference to the first aspect, in a possible implementation manner, the step of obtaining a historical maximum oxygen uptake of a last exercise of the user includes: reading historical maximum oxygen uptake amount from historical motion information stored locally by the wearable device or from a mobile terminal connected with the wearable device; and if the historical maximum oxygen uptake amount is not stored in the historical exercise information, taking the initial maximum oxygen uptake amount determined based on the age and the sex of the user as the historical maximum oxygen uptake amount.

Optionally, with reference to the first aspect, in a possible implementation manner, the method further includes: acquiring a real-time heart rate and a real-time speed of a user in motion based on a sensor of the wearable device; and determining the effective maximum heart rate according to the real-time heart rate and the real-time speed.

Optionally, with reference to the first aspect, in a possible implementation manner, the determining an effective maximum heart rate according to a real-time heart rate and a real-time speed includes: calculating a reference heart rate based on the relation curve of the reference speed and the heart rate and the real-time speed; and comparing the real-time heart rate with the reference heart rate, selecting a heart rate section meeting preset conditions from the real-time heart rate, and acquiring a maximum heart rate value from the heart rate section as an effective maximum heart rate.

Optionally, with reference to the first aspect, in a possible implementation manner, the preset condition includes: in the heart rate period, the time length that the difference value between the real-time heart rate and the reference heart rate is smaller than the preset heart rate threshold value is larger than a first time length threshold value, the time length that the difference value between the real-time heart rate and the reference heart rate is larger than the preset heart rate threshold value is smaller than a second time length threshold value, and the first time length threshold value is larger than or equal to the second time length threshold value.

Optionally, with reference to the first aspect, in a possible implementation manner, the method further includes: the method includes acquiring age and gender of a user, and determining a reference maximum heart rate and a reference maximum oxygen uptake based on the age and gender of the user.

The second aspect of the present application provides a maximum oxygen uptake measuring device, which is applied to a wearable device, and comprises: the first processing module is used for calculating a first maximum oxygen uptake according to the user reference maximum heart rate, the reference maximum oxygen uptake and the effective maximum heart rate in the current exercise process of the user; the second processing module is used for acquiring historical maximum oxygen uptake of the last exercise of the user and executing Kalman filtering processing on the historical maximum oxygen uptake and the first maximum oxygen uptake to obtain a second maximum oxygen uptake; the third processing module is used for judging whether the difference value between the second maximum oxygen uptake amount and the historical maximum oxygen uptake amount is smaller than or equal to the first oxygen uptake threshold value; and the fourth processing module is used for outputting the second maximum oxygen uptake amount as the current maximum oxygen uptake amount when the difference value between the second maximum oxygen uptake amount and the historical maximum oxygen uptake amount is smaller than or equal to the first oxygen uptake amount threshold value.

Optionally, in combination with the second aspect, in a possible implementation manner, the fourth processing module is further configured to determine the current maximum oxygen uptake amount according to the historical maximum oxygen uptake amount when a difference between the second maximum oxygen uptake amount and the historical maximum oxygen uptake amount is greater than the first oxygen uptake amount threshold.

Optionally, with reference to the second aspect, in a possible implementation manner, the fourth processing module is specifically configured to, when the second maximum oxygen uptake is greater than the historical maximum oxygen uptake, add a preset oxygen uptake gradient value to the historical maximum oxygen uptake to serve as the current maximum oxygen uptake; and the fourth processing module is specifically used for subtracting the preset oxygen uptake gradient value from the historical maximum oxygen uptake to serve as the current maximum oxygen uptake when the historical maximum oxygen uptake is larger than the second maximum oxygen uptake.

Optionally, in combination with the second aspect, in a possible implementation manner, the fourth processing module is further configured to output the historical maximum oxygen uptake amount as the current maximum oxygen uptake amount when a difference between the first maximum oxygen uptake amount and the historical maximum oxygen uptake amount is greater than a second oxygen uptake amount threshold.

Optionally, with reference to the second aspect, in a possible implementation manner, the second processing module is specifically configured to read a historical maximum oxygen uptake amount from historical motion information stored locally by the wearable device or from a mobile terminal connected to the wearable device; and the second processing module is specifically further used for taking the initial maximum oxygen uptake determined based on the age and the sex of the user as the historical maximum oxygen uptake when the historical maximum oxygen uptake is not stored in the historical exercise information.

Optionally, with reference to the second aspect, in a possible implementation manner, the apparatus further includes: the sensor is used for acquiring a real-time heart rate and a real-time speed of a user in motion; the first processing module is further used for determining the effective maximum heart rate according to the real-time heart rate and the real-time speed.

Optionally, with reference to the second aspect, in a possible implementation manner, the first processing module is specifically configured to calculate a reference heart rate based on a relation curve between the reference speed and the heart rate and a real-time speed; the first processing module is specifically used for comparing the real-time heart rate with a reference heart rate, selecting a heart rate section meeting a preset condition from the real-time heart rate, and acquiring a maximum heart rate value from the heart rate section to serve as an effective maximum heart rate.

Optionally, with reference to the second aspect, in a possible implementation manner, the preset condition includes: in the heart rate period, the time length that the difference value between the real-time heart rate and the reference heart rate is smaller than the preset heart rate threshold value is larger than a first time length threshold value, the time length that the difference value between the real-time heart rate and the reference heart rate is larger than the preset heart rate threshold value is smaller than a second time length threshold value, and the first time length threshold value is larger than or equal to the second time length threshold value.

Optionally, with reference to the second aspect, in a possible implementation manner, the first processing module is further configured to obtain an age and a gender of the user, and determine the reference maximum heart rate and the reference maximum oxygen uptake amount based on the age and the gender of the user.

A third aspect of the present application provides a wearable device comprising a processor and a memory, the memory storing a computer program executable by the processor, the computer program, when executed by the processor, implementing a method of maximum oxygen uptake measurement as in any one of the possible implementations of the first aspect to the first aspect.

A fourth aspect of the present application provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements a method for maximum oxygen uptake measurement as in any one of the possible implementations of the first aspect to the first aspect.

The application provides a maximum oxygen uptake measurement method and device, wearable equipment and a storage medium. The method comprises the following steps: calculating a first maximum oxygen uptake amount according to the user reference maximum heart rate, the reference maximum oxygen uptake amount and the effective maximum heart rate in the current exercise process of the user; acquiring historical maximum oxygen uptake of the last exercise of the user, and executing Kalman filtering processing on the historical maximum oxygen uptake and the first maximum oxygen uptake to obtain a second maximum oxygen uptake; judging whether the difference value between the second maximum oxygen uptake amount and the historical maximum oxygen uptake amount is smaller than or equal to a first oxygen uptake threshold value; and when the difference value between the second maximum oxygen uptake amount and the historical maximum oxygen uptake amount is smaller than or equal to the first oxygen uptake threshold value, outputting the second maximum oxygen uptake amount as the current maximum oxygen uptake amount. Therefore, the current maximum oxygen uptake data can be obtained through the maximum oxygen uptake in the current exercise process and the historical maximum oxygen uptake, and the accuracy of measuring the maximum oxygen uptake data is improved.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.

Fig. 1 is a functional block diagram of a wearable device according to an embodiment of the present disclosure;

FIG. 2 is a flow chart of a method for maximum oxygen uptake measurement according to an embodiment of the present disclosure;

FIG. 3 is another flow chart of a method of maximum oxygen uptake provided by an embodiment of the present application;

FIG. 4 is another flow chart of a method of maximum oxygen uptake provided by an embodiment of the present application;

FIG. 5 is another flow chart of a method of maximum oxygen uptake provided by an embodiment of the present application;

fig. 6 is a schematic structural diagram of a maximum oxygen uptake measuring apparatus according to an embodiment of the present disclosure.

Detailed Description

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. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations.

Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.

It is noted that relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element. In the present application, the difference between a and B may be a value obtained by subtracting B from a, or may be a value obtained by subtracting a from B.

Introduction of functional modules of the wearable device:

the present application provides a wearable device, the functional module diagram of which is shown in fig. 1, the wearable device 10 includes:

the device comprises a memory 101, a wireless charging coil 102, a wireless charging control module 103, a battery 104, an audio module 105, a Bluetooth module 106, a radio frequency communication module 107, a motion sensor 108, a touch display 109, an optical sensor 110, other I/O devices 120, a control chip 130 and an I/O subsystem 140. Wherein the control chip 130 may include: memory controller 131, peripheral interface 132, and processor 133. The I/O subsystem 140 may include: display controller 141, optical sensor controller 142, other I/O controller 143. Wherein, each module is connected through communication bus or signal line communication.

The memory 101 may include volatile memory and/or non-volatile memory. For example, the memory 101 may store commands or data related to at least one other component of the wearable device 10. Memory 101 may store software and/or programs in accordance with embodiments of the present application. The programs may include, for example, Application Programming Interfaces (APIs), application programs (APPs), and Operating Systems (OSs). The API is an interface that provides functions allowing the application storage controller 131 to control. For example, the API may include at least one interface or function (e.g., commands) for submission control, window control, image processing, or text control.

The Memory 101 may include, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like.

The wireless charging coil 102 can be used to receive power in a wireless fashion. In addition, the wearable device 10 may further include a wired charging interface, such as a charging pin or a micro usb or other interface capable of implementing a wired charging function. Still further, the wearable device 10 may further include a wired charging interface and a wired charging control module for charging the battery 104 in a wired manner.

The wireless charging control module 103 is used for controlling an external power source to wirelessly charge the wearable device 10. For example, wireless power is rectified, voltage and current are controlled, and then the battery is charged. The power of the wireless charging transmitting device can be controlled by wirelessly communicating with the wireless charging transmitting device. The wireless charging control module 103 may further include a sensing unit, which may be a current sensor, which may measure the intensity of the charging current applied to the wireless charging coil 102 according to the reception of the wireless power.

The battery 104 may store wireless power received through the wireless charging coil 102 or power received through a wired charging interface. Power may also be provided to other modules.

The audio module 105 is used to convert audio data into electrical signals and transmit the electrical signals to a speaker, or the audio module 105 may also be used to receive electrical signals from a speaker and convert the electrical signals into audio data. The bluetooth module 106 is used for the wearable device 10 to establish bluetooth connection with an external device, so as to implement bluetooth communication, for example, bluetooth communication can be implemented between the wearable device 10 and the external device such as a mobile phone and an earphone. The radio frequency communication module 107 is used for receiving and transmitting electromagnetic signals for the wearable device 10 to perform mobile communication.

The motion sensor 108 is configured to acquire motion data of the wearable device 10, and further analyze motion states such as a posture and inertial information, and the motion sensor 108 may include an accelerometer, a gyroscope sensor, a pressure sensor, a magnetometer, a GPS receiver, and the like, and is configured to detect acceleration, an angle, a pressure, a direction, and position information of the smart watch, which are not shown in fig. 1 one by one, but are not limited to the present application.

The memory controller 131, peripheral interface 132, and processor 133 may be integrated onto the control chip 130.

The memory controller 131 is used to control other modules of the wearable device 10 to access the memory 101 to implement corresponding functions. The memory controller 131 may function as a relay, for example, to allow other modules to access software or programs stored in the memory 101.

The peripheral interface 132 is used to couple input and output peripherals of the wearable device 10 to the processor 133 and the memory controller 131. The peripheral devices may include peripheral devices such as a wireless charging control module 103, an audio module 105, a bluetooth module 106, a radio frequency communication module 107, an accelerometer 108, and an I/O subsystem.

The Processor 133 may include a Central Processing Unit (CPU), an Application Processor (AP), a Communication Processor (CP), a Network Processor (NP), and the like; but may also be one or more of a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components. The processor 133 may perform control of at least one of the other components of the wearable device 10 and/or perform operations or data processing related to communication. The processor 133 may refer to a controller. The processor 133 may perform data processing and invoke software programs and/or sets of instructions from the memory 101 to implement various functions of the wearable device 10.

The I/O subsystem 140 may couple input/output peripherals on the wearable device 10 to the peripheral interface, the I/O subsystem 140 may include a display controller 141, an optical sensor controller 142, and other I/O controllers 143. The display controller 141 may control the touch display 109, the optical sensor controller 142 may control the optical sensor 110, and the other I/O controller 143 may control the other I/O device 120. The other I/O devices 120 may include a rotatable crown, switches, edge touch sensitive strips, and the like. The optical sensor 110 may be used to emit as well as detect optical signals.

Current methods of measuring maximum oxygen uptake include direct and indirect methods. The direct method is to confirm the maximum oxygen uptake value of a subject by a relevant testing instrument. Indirect methods infer the maximum oxygen uptake by the characteristics of heart rate, time, etc. that the user produces when performing a given exercise. Of these, Cooper (Cooper)12 minute running is a typical representative. If the direct method is adopted to measure the maximum oxygen uptake of the user, the testing instrument is expensive, the operation is complex, the general comfort level of the human body is poor, and the current indirect method is related to the current physiological condition of the testee. And also whether the user is fully performing according to the designed experimental conditions, such as the time and speed of running, which need to be reached. If the experimental conditions are not satisfied, the measurement cannot be performed.

The first embodiment is as follows:

the application provides a method for measuring the maximum oxygen uptake, which only needs the exercise type of a user to be running outdoors without limiting other conditions. After the user can measure the maximum oxygen uptake amount for many times through the wearable device, the accurate maximum oxygen uptake amount value is obtained, and the complexity of the measuring process and the limit of the testing condition can be reduced.

In an embodiment of the present application, a method for measuring maximum oxygen uptake is provided, please refer to fig. 2, and the method includes:

s201, calculating a first maximum oxygen uptake according to a user reference maximum heart rate, a reference maximum oxygen uptake and an effective maximum heart rate in the current exercise process of the user.

Before calculating the first maximum oxygen uptake, the maximum reference heart rate (HRmax _ reference) and the reference maximum oxygen uptake (VO) of the user may be obtained₂max reference), and the effective maximum heart rate of the user during the current exercise (HRmax _ effective). And then calculating the first maximum oxygen uptake according to the maximum reference heart rate and the maximum oxygen uptake of the user and the effective maximum heart rate of the user in the current exercise process.

1.1) obtaining a reference maximum heart rate (HRmax _ reference) of the user: the reference maximum heart rate of the user may be calculated using the following formula: HRmax _ reference 220-Y. Wherein Y is the user's age. The maximum reference heart rate of the user may also be determined from a fitted curve of the user's age and the maximum reference heart rate versus age. Specifically, the formula of the fitted curve may be: HRmax _ reference is a-B × Y. Wherein Y is the age of the subject. A and B are fitting coefficients, and are fitted by the age of a large number of tested persons and the maximum heart rate. The reference maximum heart rate of the user may also be obtained by other means, which is not limited herein.

1.2) obtaining a reference maximum oxygen uptake (VO) of a user₂max _ reference): reference maximum oxygen uptake (VO) of a user₂max _ reference) may be obtained from a preset lookup table according to the age and gender of the user. Illustratively, the look-up table may be the following table one. Table one shows the maximum oxygen intake of professional sports persons in each age group in the 2009 adult fitness evaluation report of Cooper research institute (Cooper), and the reference value is obtained by a large number of tested professional sports persons through professional equipment statistics. As the maximum oxygen uptake of professional athletes of each age group is relatively standard, the referential property of the reference maximum oxygen uptake can be improved by taking the maximum oxygen uptake of the professional athletes as the standard.

Watch 1

1.3) obtaining the effective maximum heart rate (HRmax _ effective) of the user in the current motion process:

1.3.1) acquiring real-time Heart Rate (HR) and real-time speed (speed) in the user's motion based on sensors of the wearable device.

In particular, the wearable device may measure the user's real-time Heart Rate (HR) by means of a sensor, e.g. an optical sensor. The real-time heart rate of the user may be measured in particular by a photoplethysmogram (PPG) or an Electrocardiogram (ECG). Real-time speed (speed) in the user's motion may be measured by motion sensors, such as gyroscopes, inertial measurement units, etc.

The effective heart rate (HR _ effective) is zeroed before each time the user starts exercising. This wearable equipment can be according to the time of predetermineeing, real-time rhythm of the heart and real-time speed are exported once every a period of time. Illustratively, the real-time heart rate and the real-time speed may be output once per second.

1.3.2) calculating a reference heart rate based on the reference speed versus heart rate curve and the real-time speed.

The reference heart rate may be calculated based on the reference speed versus heart rate curve, as well as the real-time speed. Specifically, the reference speed and heart rate relation curve can be obtained by fitting running data of people of different ages. The reference speed and heart rate relationship may vary for different ages and gender of the population. Prior to taking the measurements, a relationship curve between the reference speed and the reference heart rate may be fitted to people of different gender and age groups, respectively.

For example, for a 20-year-old male, the relationship between the reference speed and the reference heart rate may be expressed as: HR _ reference 22.34 × Speed + 75. Where Speed is the reference Speed and HR _ reference is the reference heart rate. By substituting the real-time speed (speed) of the user into the expression, the reference heart rate of the user can be obtained.

1.3.3) comparing the real-time Heart Rate (HR) with a reference heart rate (HR _ reference), selecting a heart rate section meeting a preset condition from the real-time heart rates, and acquiring a maximum heart rate value from the heart rate section as an effective maximum heart rate (HRmax _ effective).

It should be noted that the heart rate segment is a real-time heart rate set output for a period of time. Specifically, the real-time heart rate is output once every second. The one minute long heart rate segment may include 60 real-time heart rates output in one minute.

Comparing the real-time heart rate with a reference heart rate, selecting a heart rate section meeting a preset condition from the real-time heart rates, wherein the heart rate value in the heart rate section meeting the preset condition is an effective heart rate (HR _ effective), and acquiring a maximum heart rate value from the heart rate section to be used as the effective maximum heart rate (HRmax _ effective). Specifically, the preset condition may include: in the heart rate period, a time period during which the difference between the real-time heart rate and the reference heart rate is smaller than or equal to a preset heart rate threshold value is larger than a first time period threshold value (for example, 60 seconds), and a time period during which the difference between the real-time heart rate and the reference heart rate is larger than the preset heart rate threshold value is smaller than a second time period threshold value (for example, 30 seconds). It is noted that the first duration threshold is greater than or equal to the second duration threshold. Then it can be said that the real-time heart rate is more accurate in this heart rate segment.

In the above-mentioned process of comparing real-time heart rate with the reference heart rate, whenever output a real-time heart rate, just compare this real-time heart rate with the reference heart rate to calculate the difference of this real-time heart rate and reference heart rate. And judging whether the difference value is less than or equal to a preset heart rate threshold value. Generally, if the difference is less than or equal to the preset heart rate threshold, the real-time heart rate may be considered accurate. If the difference is greater than the preset heart rate threshold, the real-time heart rate is deemed to be inaccurate. Illustratively, the preset heart rate threshold may be 30 bpm. The first duration threshold is greater than or equal to the second duration threshold, which indicates that the duration of the accurate real-time heart rate is greater than or equal to the duration of the inaccurate real-time heart rate in the heart rate section, so that the accuracy of selecting the heart rate section can be improved.

After selecting the heart rate segment, the largest heart rate value from the heart rate segment may be selected as the effective maximum heart rate (HRmax _ effective).

1.4) calculating a first maximum oxygen uptake.

May be based on the user's reference maximum heart rate (HRmax _ reference), the user's reference maximum oxygen uptake (VO)₂max _ reference), and the effective maximum heart rate (HRmax _ effective) of the user during the current exercise, the first maximum oxygen uptake (VO) is calculated₂max _ first). Specifically, the calculation formula is as follows:

s202, acquiring historical maximum oxygen uptake of the last exercise of the user, and executing Kalman filtering processing on the historical maximum oxygen uptake and the first maximum oxygen uptake to obtain a second maximum oxygen uptake.

Obtaining the historical maximum oxygen uptake (VO) of the last exercise of the user₂max _ last), and comparing the historical maximum oxygen uptake with the first maximum oxygen uptake (VO)₂max _ first) performs a kalman filter process to obtain a second maximum oxygen uptake (VO)₂max_second)。

2.1) determining the historical maximum oxygen uptake of the last exercise of the user.

Specifically, when the wearable device obtains historical motion information from a local application or a corresponding application in a mobile terminal connected with the wearable device, last motion information of the user and historical maximum oxygen uptake (VO) of the last motion are obtained from the historical motion information₂max _ last). The historical maximum oxygen uptake in the application refers to the maximum oxygen uptake in the last exercise process of a user.

If the historical maximum oxygen uptake of the last exercise is not stored in the historical exercise information, the fact that the user performs running exercise for the first time is indicated, or the historical maximum oxygen uptake of the last exercise is lost. In this case, the initial maximum oxygen uptake (VO) of the user may be determined based on the age and gender of the user₂max _ init). And the initial maximum oxygen uptake (VO) of the user₂max _ init) as the maximum oxygen uptake (VO) during the last exercise₂max _ last). In particular, canSee table two. Table two is the maximum oxygen uptake for each age group evaluated as good in the adult fitness assessment report issued by the Cooper research institute.

Watch two

2.2) executing Kalman filtering treatment on the historical maximum oxygen uptake and the first maximum oxygen uptake to obtain a second maximum oxygen uptake (VO)₂max_second)。

To increase the continuity of the historical maximum oxygen uptake and the first maximum oxygen uptake, a Kalman (kalman) filter is added. Through executing this kalman filtering, can prevent that wearable equipment from appearing being used by other people in the use, this wearable equipment is unusual or user's wearing methods is incorrect, and the not good condition of motion state leads to the biggest oxygen uptake volume to appear obviously undulant. The overall stability of the scheme can be improved.

The application takes one-dimensional Kalman filtering as an example, wherein the filtering process is divided into a prediction process and a measurement process, and the filtering steps are as follows:

2.2.1) A.times.VO₂max _ last assigns VO₂max _ second. Wherein, A is a state coefficient, and A is 1. Theoretically, the value measured this time should be consistent with the historical maximum oxygen uptake of the last exercise, and the state coefficient a is set to 1.

2.2.2) mixing p.times.A²+ q is assigned to p. Where p is the estimated error variance in the filter. The initial value of p is the variance between the maximum oxygen uptake measured by the user wearing the professional device in an outdoor full-force sprint for 12 minutes (the test method is Cooper12 minutes running), and the corresponding initial maximum oxygen uptake, and may be 4, for example. After the first filtering, the value of the subsequent p may be the value updated after the last filtering. q is the predicted noise variance and is an empirical value, which may be 4, for example.

2.2.3) calculating the gain factor gain, which is p × H/(p × H)²+ r), wherein the gain factor gain is in the calculation processThe intermediate variable of (1). H is an observation coefficient, and H is 1. An observation coefficient equal to 1 indicates that the measured value is the maximum oxygen uptake. r is an observation variance, is a constant, for example, r is 4, and is obtained statistically according to professional equipment in the actual measurement situation.

2.2.4) calculating the second maximum oxygen uptake of VO₂max_second+gain× (VO₂max_first-H×VO₂max _ second) to VO₂max _ second, to obtain the second maximum oxygen uptake (VO)₂max_second)。

2.2.5) update the estimated error variance p in the filter, assigning (1-gain × H) × p to p. The updated estimated error variance is used in the next filtering process.

It should be noted that kalman filtering is taken as an example in this application, but is not limited to this. Filtering can also be performed through filtering modes such as mean filtering, low-pass filtering and the like. Although the requirement of maintaining the overall stability of the scheme can be met through mean filtering and low-pass filtering, the Kalman filtering mode occupies a small memory, is high in calculation speed and has strong anti-interference capability. The estimated error variance p in the filtering process may gradually converge as the number of measurements increases, and is updated once in each filtering process. The method is favorable for reducing the influence caused by overlarge initial maximum oxygen uptake amount deviation and overlarge measurement deviations of previous times, can enable the measured value to be converged to the true value more quickly, and can ensure that the output result of the maximum oxygen uptake amount value is relatively stable after multiple measurements.

And S203, judging whether the difference value between the second maximum oxygen uptake amount and the historical maximum oxygen uptake amount is smaller than or equal to the first oxygen uptake threshold value.

Determining the second maximum oxygen uptake (VO)₂max _ second) and the historical maximum oxygen uptake (VO)₂max _ last) is less than or equal to the first oxygen uptake threshold. For example, the first threshold oxygen uptake may be 2 ml/kg/min.

And S204, outputting the second maximum oxygen uptake amount as the current maximum oxygen uptake amount.

And when the difference value between the second maximum oxygen uptake amount and the historical maximum oxygen uptake amount is smaller than or equal to the first oxygen uptake threshold value, the difference value between the second oxygen uptake amount and the historical maximum oxygen uptake amount is smaller. The second maximum oxygen uptake may be output as the current maximum oxygen uptake.

The application provides a maximum oxygen uptake measuring method, which can obtain current maximum oxygen uptake data through the maximum oxygen uptake in the current movement process and the historical maximum oxygen uptake, and improves the accuracy of the maximum oxygen uptake data in the measuring process.

Example two:

it should be noted that, if it is determined in step S203 that the difference between the second oxygen uptake amount and the historical maximum oxygen uptake amount is greater than the first oxygen uptake threshold, it indicates that the difference between the second oxygen uptake threshold and the historical maximum oxygen uptake amount is relatively large. Since the maximum oxygen uptake is a physiological measure of the cardiopulmonary function of a user, the physiological measure should not change significantly in a short time except for a specific disease. Taking a professional athlete running at 1500 meters as an example, the running performance can be improved by 5 to 6 seconds when the maximum oxygen uptake is changed by 1 ml/kg/min. While a normal athlete may not be able to suddenly improve the running performance in a short time. Therefore, it is not reasonable to have a large difference between the two measured maximum oxygen uptake data.

However, the wearable device is frequently used and the motion state is unstable during the use process, which may cause a large difference in the maximum oxygen uptake in a short time. Therefore, in order to ensure consistency of variation of the output maximum oxygen uptake, in step S203, when the difference between the second oxygen uptake and the historical maximum oxygen uptake is greater than the first oxygen uptake threshold, the current maximum oxygen uptake of the output may be adjusted. Referring to fig. 3, a method for measuring maximum oxygen uptake according to a second embodiment includes:

s301, calculating a first maximum oxygen uptake according to the user reference maximum heart rate, the reference maximum oxygen uptake and the effective maximum heart rate of the user in the current exercise process.

Please refer to the step S201 for understanding, which is not described herein again.

S302, historical maximum oxygen uptake of the last exercise of the user is obtained, and Kalman filtering processing is carried out on the historical maximum oxygen uptake and the first maximum oxygen uptake to obtain a second maximum oxygen uptake.

Please refer to the above step S202 for understanding, which is not described herein again.

And S303, judging whether the difference value between the second maximum oxygen uptake amount and the historical maximum oxygen uptake amount is smaller than or equal to the first oxygen uptake threshold value.

And when the difference value between the second maximum oxygen uptake amount and the historical maximum oxygen uptake amount is larger than the first oxygen uptake threshold value, the difference between the second maximum oxygen uptake amount and the historical maximum oxygen uptake amount is larger. If the second maximum oxygen uptake is directly output as the current maximum oxygen uptake, the difference between the two maximum oxygen uptake data is large, and sudden increase or sudden decrease occurs, and in order to ensure the stability and continuity of the two maximum oxygen uptake in the front and back exercise, the second maximum oxygen uptake cannot be directly output as the current maximum oxygen uptake. The current maximum oxygen uptake may be determined based on the historical maximum oxygen uptake.

And S304, judging whether the second maximum oxygen uptake is larger than the historical maximum oxygen uptake.

And when the difference value between the second maximum oxygen uptake amount and the historical maximum oxygen uptake amount is larger than the first oxygen uptake threshold value, continuously judging whether the second maximum oxygen uptake amount is larger than the historical maximum oxygen uptake amount.

If the second maximum oxygen uptake is larger than the historical maximum oxygen uptake, the historical maximum oxygen uptake can be adjusted upwards by a preset oxygen uptake gradient value, so that the current maximum oxygen uptake is obtained. If the second oxygen uptake is smaller than the historical maximum oxygen uptake, the historical maximum oxygen uptake can be adjusted downwards by a preset oxygen uptake gradient value, so that the current maximum oxygen uptake is obtained. Therefore, the sudden change of the output result of the oxygen uptake can be avoided, and the trend of the change of the maximum oxygen uptake can be reflected.

S305, adding the historical maximum oxygen uptake amount and a preset oxygen uptake gradient value to serve as the current maximum oxygen uptake amount.

And when the second maximum oxygen uptake is larger than the historical maximum oxygen uptake, adding a preset oxygen uptake gradient value to the historical maximum oxygen uptake to serve as the current maximum oxygen uptake. The preset gradient value may be a preset oxygen uptake value. Illustratively, it may be 2 ml/kg/min. For example, if the second oxygen uptake VO is obtained₂max _ second is 50ml/kg/min, if the historical maximum oxygen uptake VO₂max _ last 44 ml/kg/min. Adding the historical maximum oxygen intake amount of 44ml/kg/min to the preset gradient value of 2ml/kg/min to obtain the current maximum oxygen intake amount of 46 ml/kg/min.

And S306, subtracting a preset oxygen uptake gradient value from the historical maximum oxygen uptake to obtain the current maximum oxygen uptake.

And when the historical maximum oxygen uptake is larger than the second maximum oxygen uptake, subtracting the preset oxygen uptake gradient value from the historical maximum oxygen uptake to serve as the current maximum oxygen uptake. For example, if the second maximum oxygen uptake VO is obtained₂max _ second is 44ml/kg/min, if the historical maximum oxygen uptake VO₂max _ last equals 50 ml/kg/min. Subtracting the preset gradient value from the historical maximum oxygen uptake of 50ml/kg/min to obtain the current maximum oxygen uptake value of 48 ml/kg/min.

In the second embodiment of the application, when the difference between the obtained second maximum oxygen uptake and the historical maximum oxygen uptake is greater than the first oxygen uptake threshold, a preset gradient value can be adjusted upwards or downwards according to the size relationship between the second maximum oxygen uptake and the historical maximum oxygen uptake to obtain the final output value of the maximum oxygen uptake. Therefore, the output current maximum oxygen uptake value and the historical maximum oxygen uptake value do not have violent change, and the maximum oxygen uptake results output twice can change more smoothly. The variation range is limited within the range of two preset gradient values, so that the variation trend of the maximum oxygen uptake of a user can be reflected, and the consistency of the output maximum oxygen uptake result can be kept.

Example three:

in step S202 of the first embodiment and step S302 of the second embodiment, after the historical maximum oxygen uptake of the last exercise of the user is obtained, kalman filter processing is performed on the historical maximum oxygen uptake and the first maximum oxygen uptake.

In an actual implementation process, after the historical maximum oxygen uptake of the last exercise is obtained, the first maximum oxygen uptake may be compared with the historical maximum oxygen uptake. And if the difference value between the first maximum oxygen uptake amount and the historical maximum oxygen uptake amount is less than or equal to a second oxygen uptake threshold value, executing Kalman filtering processing. And if the difference value between the first maximum oxygen uptake and the historical maximum oxygen uptake is larger than a second oxygen uptake threshold value, the difference value between the first maximum oxygen uptake and the historical maximum oxygen uptake is overlarge. The historical maximum oxygen uptake can be directly output as the current maximum oxygen uptake, so that the maximum oxygen uptake with large error can be avoided. Meanwhile, the calculation amount of the subsequent filtering processing can be reduced. The second oxygen uptake threshold is greater than or equal to the first oxygen uptake threshold. Referring to fig. 4, a third embodiment of the present application includes:

s401, calculating a first maximum oxygen uptake amount according to the user reference maximum heart rate, the reference maximum oxygen uptake amount and the effective maximum heart rate in the current exercise process of the user.

Please refer to the above steps S201 and S301 for understanding, which are not described herein again.

S402, acquiring historical maximum oxygen uptake of the last exercise of the user.

Please refer to the above steps S202 and S203 for understanding, which are not described herein again.

And S403, judging whether the difference value between the first maximum oxygen uptake amount and the historical maximum oxygen uptake amount is larger than a second oxygen uptake threshold value.

And judging whether the difference value between the first maximum oxygen uptake amount and the historical maximum oxygen uptake amount is larger than a second oxygen uptake threshold value. Illustratively, the second threshold may be 10 ml/kg/min. If the difference between the first maximum oxygen uptake amount and the historical maximum oxygen uptake amount is larger than the second oxygen uptake threshold value, the exercise can be considered to be invalid. The ineffective exercise refers to an exercise for which the maximum oxygen uptake cannot be calculated. The invalid movement may be a movement with too low intensity, such as walking, without reaching the maximum movement intensity of the human body. It is also possible that the exercise intensity of the exercise is too high to be much higher than that of the previous exercise, so that exercise data from different users is possible. It makes no sense to output the maximum oxygen uptake for the exercise data of different users. Specifically, the following two cases can be distinguished:

3.1) when the first maximum oxygen uptake minus the historical maximum oxygen uptake is greater than the second oxygen uptake threshold.

In this case, the first maximum oxygen uptake may be considered to be much greater than the historical maximum oxygen uptake. In this case, it is possible that the wearable device has a measurement abnormality, such as a measured heart rate being too high, on the premise that the running speed of the user is high. Or the exercise process and the last exercise process are not the maximum oxygen uptake of the same user, and the maximum oxygen uptake of the test user in the exercise process is far higher than that of the test user in the last exercise process.

3.2) when the historical maximum oxygen uptake minus the first maximum oxygen uptake is greater than the second oxygen uptake threshold.

In this case, the first maximum oxygen uptake may be considered to be much less than the historical maximum oxygen uptake. In this case, it may be that the user runs too slowly during the exercise. Or the exercise process and the last exercise process are not the maximum oxygen uptake of the same user, and the maximum oxygen uptake of the test user in the exercise process is far lower than that of the test user in the last exercise process. It is also possible that the wearable device has measurement errors, such as an abnormal measured heart rate or movement speed, etc.

And S404, outputting the historical maximum oxygen uptake amount as the current maximum oxygen uptake amount.

And when the difference value between the first maximum oxygen uptake amount and the historical maximum oxygen uptake amount is larger than the second oxygen uptake threshold value, directly outputting the historical maximum oxygen uptake amount as the current maximum oxygen uptake amount.

Therefore, the historical maximum oxygen uptake can be directly output as the current maximum oxygen uptake under the condition that the difference between the first maximum oxygen uptake and the historical maximum oxygen uptake is large, and the subsequent Kalman filtering processing is not executed. The maximum oxygen uptake with large error can be avoided, and the stability of the scheme can be maintained. Meanwhile, the amount of calculation of the filtering process can also be reduced.

Example four:

the first to third embodiments are combined. The present application provides a method for measuring maximum oxygen uptake, please refer to fig. 5, which comprises:

s501, calculating a first maximum oxygen uptake amount according to the user reference maximum heart rate, the reference maximum oxygen uptake amount and the effective maximum heart rate in the current exercise process of the user.

4.1) obtaining a reference maximum heart rate (HRmax _ reference) of the user: the reference maximum heart rate of the user may be calculated using the following formula: HRmax _ reference 220-Y. Wherein Y is the user's age. The maximum reference heart rate of the user may also be determined from a fitted curve of the user's age and the maximum reference heart rate versus age. Specifically, the formula of the fitted curve may be: HRmax _ reference is a-B × Y. Wherein Y is the age of the subject. A and B are fitting coefficients, and are fitted by the age of a large number of tested persons and the maximum heart rate. The reference maximum heart rate of the user may also be obtained by other means, which is not limited herein.

4.2) obtaining the reference maximum oxygen uptake (VO) of the user₂max _ reference): reference maximum of userOxygen uptake (VO)₂max _ reference) may be obtained from a preset lookup table according to the age and gender of the user. Illustratively, the look-up table may be table three as follows. The third table is the report of evaluation of physical fitness of adults in 2009 from Cooper research institute, and the reference value is obtained by counting by professional equipment by a large number of professional sports persons to be tested. As the maximum oxygen uptake of professional athletes of each age group is relatively standard, the referential property of the reference maximum oxygen uptake can be improved by taking the maximum oxygen uptake of the professional athletes as the standard.

Watch III

4.3) obtaining the effective maximum heart rate (HRmax _ effective) of the user in the current motion process:

4.3.1) acquiring real-time Heart Rate (HR) and real-time speed (speed) in the user's motion based on sensors of the wearable device.

4.3.2) calculating the reference heart rate based on the reference speed and heart rate relation curve and the real-time speed.

4.3.3) comparing the real-time Heart Rate (HR) with the reference heart rate (HR _ reference), selecting a heart rate section meeting the preset condition from the real-time heart rate, and acquiring the maximum heart rate value from the heart rate section as the effective maximum heart rate (HRmax _ effective).

4.4) calculating the first maximum oxygen uptake.

and S502, acquiring historical maximum oxygen uptake of the last exercise of the user.

If the historical maximum oxygen uptake of the last exercise is not stored in the historical exercise information, the fact that the user performs running exercise for the first time is indicated, or the historical maximum oxygen uptake of the last exercise is lost. This may be based on the age and age of the userGender determination of initial maximum oxygen uptake (VO) of a user₂max _ init). And the initial maximum oxygen uptake (VO) of the user₂max _ init) as the maximum oxygen uptake (VO) during the last exercise₂max _ last). In particular, see table four. Table four shows the maximum oxygen uptake for each age group evaluated as good in adult fitness assessment reports issued by the Cooper (Cooper) institute.

Watch four

And S503, judging whether the difference value between the first maximum oxygen uptake amount and the historical maximum oxygen uptake amount is larger than a second oxygen uptake threshold value.

And judging whether the difference value between the first maximum oxygen uptake amount and the historical maximum oxygen uptake amount is larger than a second oxygen uptake threshold value. The second oxygen uptake threshold is greater than or equal to the first oxygen uptake threshold. Illustratively, the second threshold may be 10 ml/kg/min. If the difference between the first maximum oxygen uptake amount and the historical maximum oxygen uptake amount is larger than the second oxygen uptake threshold value, the exercise can be considered to be invalid. The ineffective exercise refers to an exercise for which the maximum oxygen uptake cannot be calculated. The invalid movement may be a movement with too low intensity, such as walking, without reaching the maximum movement intensity of the human body. It is also possible that the exercise intensity of the exercise is too high to be much higher than that of the previous exercise, so that exercise data from different users is possible. It makes no sense to output the maximum oxygen uptake for the exercise data of different users. Specifically, the following two cases can be distinguished:

5.1) when the first maximum oxygen uptake minus the historical maximum oxygen uptake is greater than the second oxygen uptake threshold.

5.2) when the historical maximum oxygen uptake minus the first maximum oxygen uptake is greater than the second oxygen uptake threshold.

And S504, outputting the historical maximum oxygen uptake amount as the current maximum oxygen uptake amount.

And S505, performing Kalman filtering treatment on the historical maximum oxygen uptake and the first maximum oxygen uptake to obtain a second maximum oxygen uptake.

After the historical maximum oxygen uptake for the last exercise is obtained, the first maximum oxygen uptake may be compared with the historical maximum oxygen uptake. And if the difference value between the first maximum oxygen uptake amount and the historical maximum oxygen uptake amount is less than or equal to a second oxygen uptake threshold value, executing Kalman filtering processing.

Specifically, through executing this kalman filter, can prevent that wearable equipment from appearing being used by other people in the use, this wearable equipment is unusual or user's wearing methods is incorrect, and the not good condition of motion state leads to the biggest oxygen uptake volume to appear obviously undulant. The overall stability of the scheme can be improved.

6.1) A.times.VO₂max _ last assigns VO₂max _ second. Wherein, A is a state coefficient, and A is 1. Theoretically, the value measured this time should be consistent with the historical maximum oxygen uptake of the last exercise, and the state coefficient a is set to 1.

6.2) mixing p.times.A²+ q is assigned to p. Where p is the estimated error variance in the filter. The initial value of p is the variance between the maximum oxygen uptake measured by the user wearing the professional device at 12 minutes outdoor full sprint (test method Cooper12 minutes running) and its corresponding initial maximum oxygen uptake, and may be 4, for example. After the first filtering, the value of the subsequent p may be the value updated after the last filtering. q is the predicted noise variance and is an empirical value, which may be 4, for example.

6.3) calculating the gain factor gain, which is p × H/(p × H)²+ r), wherein the gain factor gain is an intermediate variable in the calculation process. H is an observation coefficient, and H is 1. An observation coefficient equal to 1 indicates that the measured value is the maximum oxygen uptake. r is an observation variance, is a constant, for example, r is 4, and is obtained statistically according to professional equipment in the actual measurement situation.

6.4) calculating the second maximum oxygen uptake, VO₂max_second+gain× (VO₂max_first-H×VO₂max _ second) to VO₂max _ second, to obtain the second maximum oxygen uptake (VO)₂max_second)。

6.5) update the estimated error variance p in the filter, assigning (1-gain × H) × p to p. The updated estimated error variance is used in the next filtering process.

And S506, judging whether the difference value between the second maximum oxygen uptake amount and the historical maximum oxygen uptake amount is smaller than or equal to the first oxygen uptake threshold value.

Determining the second maximum oxygen uptake (VO)₂max _ second) and the historical maximum oxygen uptake (VO)₂max _ last) is less than or equal to the first oxygen uptake threshold. For example, the first threshold oxygen uptake may be 2 ml/kg/min. The second oxygen uptake threshold is greater than or equal to the first oxygen uptake threshold.

And S507, outputting the second maximum oxygen uptake amount as the current maximum oxygen uptake amount.

And S508, judging whether the second maximum oxygen uptake is larger than the historical maximum oxygen uptake.

And S509, adding the historical maximum oxygen uptake and a preset oxygen uptake gradient value to serve as the current maximum oxygen uptake.

And when the second maximum oxygen uptake is larger than the historical maximum oxygen uptake, adding a preset oxygen uptake gradient value to the historical maximum oxygen uptake to serve as the current maximum oxygen uptake. The preset gradient value may be a preset threshold value of oxygen uptake. Illustratively, it may be 2 ml/kg/min. For example, if the second oxygen uptake VO is obtained₂max _ second is 50ml/kg/min, if the historical maximum oxygen uptake VO₂max _ last 44 ml/kg/min. Adding the historical maximum oxygen intake amount of 44ml/kg/min to the preset gradient value of 2ml/kg/min to obtain the current maximum oxygen intake amount of 46 ml/kg/min.

And S510, subtracting a preset oxygen uptake gradient value from the historical maximum oxygen uptake to obtain the current maximum oxygen uptake.

The application provides a method for measuring maximum oxygen uptake. In the method, when the difference between the first maximum oxygen uptake and the historical maximum oxygen uptake is greater than a second oxygen uptake threshold, the historical maximum oxygen uptake is output as the current maximum oxygen uptake. And when the difference value between the first maximum oxygen uptake amount and the historical maximum oxygen uptake amount is smaller than or equal to a second oxygen uptake threshold value, performing Kalman filtering to obtain a second maximum oxygen uptake amount. It is further determined whether the difference between the second maximum oxygen uptake and the historical maximum oxygen uptake is less than or equal to the first oxygen uptake threshold. And when the second maximum oxygen uptake is smaller than or equal to the first oxygen uptake threshold value, outputting the second maximum oxygen uptake as the current maximum oxygen uptake. If the second maximum oxygen uptake is larger than the first oxygen uptake threshold, further judging whether the second maximum oxygen uptake is larger than the historical maximum oxygen uptake. And if the second maximum oxygen uptake is larger than the historical maximum oxygen uptake, adding a preset oxygen uptake gradient value to the historical maximum oxygen uptake to serve as the current maximum oxygen uptake and outputting. And if the second maximum oxygen uptake is smaller than the historical maximum oxygen uptake, subtracting a preset oxygen uptake gradient value from the historical maximum oxygen uptake to serve as the current maximum oxygen uptake and outputting. Therefore, the accuracy of the output maximum oxygen uptake can be improved, and the robustness and the stability of the scheme can be improved at the same time.

The embodiment of the device is as follows:

the application also provides a device for measuring maximum oxygen uptake, please refer to fig. 6. The device is used for executing the maximum oxygen uptake measurement method. The steps for performing the maximum oxygen uptake measurement method and the beneficial effects thereof are understood with reference to the steps in the above method embodiments, and are not described herein again. The device includes:

the first processing module 601 is configured to calculate a first maximum oxygen uptake amount according to the user reference maximum heart rate, the reference maximum oxygen uptake amount, and the effective maximum heart rate in the current exercise process of the user.

And the second processing module 602 is configured to obtain a historical maximum oxygen uptake of the last exercise of the user, and perform kalman filtering processing on the historical maximum oxygen uptake and the first maximum oxygen uptake to obtain a second maximum oxygen uptake.

And a third processing module 603 configured to determine whether a difference between the second maximum oxygen uptake and the historical maximum oxygen uptake is less than or equal to the first oxygen uptake threshold.

And a fourth processing module 604, configured to output the second maximum oxygen uptake amount as the current maximum oxygen uptake amount when a difference between the second maximum oxygen uptake amount and the historical maximum oxygen uptake amount is less than or equal to the first oxygen uptake threshold.

The fourth processing module 604 is further configured to determine the current maximum oxygen uptake amount according to the historical maximum oxygen uptake amount when a difference between the second maximum oxygen uptake amount and the historical maximum oxygen uptake amount is greater than the first oxygen uptake amount threshold.

Further, the fourth processing module 604 is specifically configured to, when the second maximum oxygen uptake is greater than the historical maximum oxygen uptake, add a preset oxygen uptake gradient value to the historical maximum oxygen uptake to serve as the current maximum oxygen uptake. The fourth processing module 604 is specifically configured to subtract the preset oxygen uptake gradient value from the historical maximum oxygen uptake amount as the current maximum oxygen uptake amount when the historical maximum oxygen uptake amount is greater than the second maximum oxygen uptake amount.

In addition, the fourth processing module 604 is further configured to output the historical maximum oxygen uptake amount as the current maximum oxygen uptake amount when a difference between the first maximum oxygen uptake amount and the historical maximum oxygen uptake amount is greater than a second oxygen uptake amount threshold.

The second processing module 602 is specifically configured to read the historical maximum oxygen uptake amount from historical motion information stored locally on the wearable device or in a mobile terminal connected to the wearable device.

The second processing module 602 is further specifically configured to, when the historical maximum oxygen uptake amount is not stored in the historical exercise information, use an initial maximum oxygen uptake amount determined based on the age and the gender of the user as the historical maximum oxygen uptake amount.

The maximum oxygen uptake measuring device further comprises: a sensor 605, the sensor 605 for acquiring a real-time heart rate and a real-time speed in the user's motion. The first processing module 601 is further configured to determine the effective maximum heart rate according to the real-time heart rate and the real-time speed.

Furthermore, the first processing module 601 is specifically configured to calculate a reference heart rate based on the reference speed-heart rate relationship curve and the real-time speed. The first processing module 601 is specifically configured to compare the real-time heart rate with the reference heart rate, select a heart rate segment meeting a preset condition from the real-time heart rate, and obtain a maximum heart rate value from the heart rate segment as the effective maximum heart rate.

The preset conditions include: in the heart rate period, the time length of the difference value between the real-time heart rate and the reference heart rate being smaller than the preset heart rate threshold is larger than a first time length threshold, the time length of the difference value between the real-time heart rate and the reference heart rate being larger than the preset heart rate threshold is smaller than a second time length threshold, and the first time length threshold is larger than or equal to the second time length threshold.

The first processing module 601 is further configured to obtain the age and the gender of the user, and determine the reference maximum heart rate and the reference maximum oxygen uptake amount based on the age and the gender of the user.

The present application also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the above-described maximum oxygen uptake measurement method.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.

The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.

The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method for measuring maximum oxygen uptake, the method being applied to a wearable device, the method comprising:

calculating a first maximum oxygen uptake amount according to the user reference maximum heart rate, the reference maximum oxygen uptake amount and the effective maximum heart rate in the current exercise process of the user;

acquiring historical maximum oxygen uptake of the last exercise of a user, and executing Kalman filtering processing on the historical maximum oxygen uptake and the first maximum oxygen uptake to obtain a second maximum oxygen uptake;

judging whether the difference value between the second maximum oxygen uptake amount and the historical maximum oxygen uptake amount is smaller than or equal to a first oxygen uptake threshold value;

and when the difference value between the second maximum oxygen uptake amount and the historical maximum oxygen uptake amount is smaller than or equal to the first oxygen uptake threshold value, outputting the second maximum oxygen uptake amount as the current maximum oxygen uptake amount.

2. A method of maximum oxygen content as in claim 1, further comprising:

and when the difference value between the second maximum oxygen uptake amount and the historical maximum oxygen uptake amount is larger than the first oxygen uptake threshold value, determining the current maximum oxygen uptake amount according to the historical maximum oxygen uptake amount.

3. A method of maximum oxygen uptake measurement according to claim 2, wherein the step of determining the current maximum oxygen uptake from the historical maximum oxygen uptake comprises:

when the second maximum oxygen uptake is larger than the historical maximum oxygen uptake, adding a preset oxygen uptake gradient value to the historical maximum oxygen uptake to serve as the current maximum oxygen uptake;

when the historical maximum oxygen uptake is larger than the second maximum oxygen uptake, subtracting the preset oxygen uptake gradient value from the historical maximum oxygen uptake to obtain the current maximum oxygen uptake.

4. A method of maximum oxygen content as in claim 1, further comprising:

and when the difference value between the first maximum oxygen uptake amount and the historical maximum oxygen uptake amount is larger than a second oxygen uptake threshold value, outputting the historical maximum oxygen uptake amount as the current maximum oxygen uptake amount.

5. A method of maximum oxygen uptake measurement according to claim 1, wherein the step of obtaining a historical maximum oxygen uptake for the user's last exercise comprises:

reading the historical maximum oxygen uptake amount from historical motion information stored locally by the wearable device or from a mobile terminal connected with the wearable device;

and if the historical maximum oxygen uptake amount is not stored in the historical exercise information, taking the initial maximum oxygen uptake amount determined based on the age and the sex of the user as the historical maximum oxygen uptake amount.

6. A method of maximum oxygen content as in claim 1, further comprising:

acquiring a real-time heart rate and a real-time speed of a user in motion based on a sensor of the wearable device;

determining the effective maximum heart rate according to the real-time heart rate and the real-time speed.

7. A method of maximum oxygen uptake measurement according to claim 6, wherein the determining the effective maximum heart rate from the real-time heart rate and the real-time speed comprises:

calculating a reference heart rate based on a reference speed and heart rate relation curve and the real-time speed;

and comparing the real-time heart rate with the reference heart rate, selecting a heart rate section meeting preset conditions from the real-time heart rate, and acquiring a maximum heart rate value from the heart rate section as the effective maximum heart rate.

8. A method of maximum oxygen content measurement according to claim 7, wherein the preset conditions include:

in the heart rate period, the time length of the difference value between the real-time heart rate and the reference heart rate is smaller than or equal to the preset heart rate threshold value and is larger than a first time length threshold value, the time length of the difference value between the real-time heart rate and the reference heart rate which is larger than the preset heart rate threshold value is smaller than a second time length threshold value, and the first time length threshold value is larger than or equal to the second time length threshold value.

9. A method of maximum oxygen content as in claim 1, further comprising:

acquiring the age and the gender of the user, and determining the reference maximum heart rate and the reference maximum oxygen uptake amount based on the age and the gender of the user.

10. The utility model provides a maximum oxygen uptake measuring device, the device is applied to wearable equipment, its characterized in that, the device includes:

the first processing module is used for calculating a first maximum oxygen uptake according to the user reference maximum heart rate, the reference maximum oxygen uptake and the effective maximum heart rate in the current exercise process of the user;

the second processing module is used for acquiring historical maximum oxygen uptake of the last exercise of the user and executing Kalman filtering processing on the historical maximum oxygen uptake and the first maximum oxygen uptake to obtain a second maximum oxygen uptake;

the third processing module is used for judging whether the difference value between the second maximum oxygen uptake amount and the historical maximum oxygen uptake amount is smaller than or equal to a first oxygen uptake threshold value;

and the fourth processing module is used for outputting the second maximum oxygen uptake amount as the current maximum oxygen uptake amount when the difference value between the second maximum oxygen uptake amount and the historical maximum oxygen uptake amount is smaller than or equal to the first oxygen uptake amount threshold value.

11. A device for measuring maximum oxygen uptake as defined in claim 10,

and the fourth processing module is further used for determining the current maximum oxygen uptake amount according to the historical maximum oxygen uptake amount when the difference value between the second maximum oxygen uptake amount and the historical maximum oxygen uptake amount is greater than the first oxygen uptake amount threshold value.

12. A device for measuring maximum oxygen uptake as defined in claim 11,

the fourth processing module is specifically configured to, when the second maximum oxygen uptake is greater than the historical maximum oxygen uptake, take the historical maximum oxygen uptake plus a preset oxygen uptake gradient value as the current maximum oxygen uptake;

the fourth processing module is specifically used for being worked as the biggest oxygen uptake of history is greater than when the biggest oxygen uptake of second, will the biggest oxygen uptake of history subtracts preset oxygen uptake gradient value is regarded as the current biggest oxygen uptake.

13. A device for measuring maximum oxygen uptake as defined in claim 10,

and the fourth processing module is further used for outputting the historical maximum oxygen uptake amount as the current maximum oxygen uptake amount when the difference value between the first maximum oxygen uptake amount and the historical maximum oxygen uptake amount is greater than a second oxygen uptake threshold value.

14. A device for measuring maximum oxygen uptake as defined in claim 10,

the second processing module is specifically configured to read the historical maximum oxygen uptake amount from historical motion information stored locally on the wearable device or from a mobile terminal connected to the wearable device;

the second processing module is specifically further configured to, when the historical maximum oxygen uptake amount is not stored in the historical exercise information, use an initial maximum oxygen uptake amount determined based on the age and the sex of the user as the historical maximum oxygen uptake amount.

15. A maximum oxygen uptake measurement device as claimed in claim 10, further comprising:

the sensor is used for acquiring a real-time heart rate and a real-time speed of a user in motion;

the first processing module is further configured to determine the effective maximum heart rate according to the real-time heart rate and the real-time speed.

16. A device for measuring maximum oxygen uptake according to claim 15,

the first processing module is specifically used for calculating a reference heart rate based on a relation curve of the reference speed and the heart rate and the real-time speed;

the first processing module is specifically configured to compare the real-time heart rate with the reference heart rate, select a heart rate segment meeting a preset condition from the real-time heart rate, and obtain a maximum heart rate value from the heart rate segment as the effective maximum heart rate.

17. A device for measuring maximum oxygen uptake as claimed in claim 16, wherein the preset conditions include:

in the heart rate period, the time length of the difference value between the real-time heart rate and the reference heart rate being smaller than the preset heart rate threshold is larger than a first time length threshold, the time length of the difference value between the real-time heart rate and the reference heart rate being larger than the preset heart rate threshold is smaller than a second time length threshold, and the first time length threshold is larger than or equal to the second time length threshold.

18. A device for measuring maximum oxygen uptake as defined in claim 10,

the first processing module is further used for acquiring the age and the sex of the user and determining the reference maximum heart rate and the reference maximum oxygen uptake amount based on the age and the sex of the user.

19. A wearable device comprising a processor and a memory, the memory storing a computer program executable by the processor, the computer program when executed by the processor implementing the maximum oxygen content method as claimed in any one of claims 1 to 9.

20. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method for maximum oxygen uptake as defined in any one of claims 1 to 9.