CN112790752A - Heart rate value correction method and device and electronic equipment - Google Patents
Heart rate value correction method and device and electronic equipment Download PDFInfo
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
- A61B5/02416—Detecting, measuring or recording pulse rate or heart rate using photoplethysmograph signals, e.g. generated by infrared radiation
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
- A61B5/02416—Detecting, measuring or recording pulse rate or heart rate using photoplethysmograph signals, e.g. generated by infrared radiation
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- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
- A61B5/02438—Detecting, measuring or recording pulse rate or heart rate with portable devices, e.g. worn by the patient
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- A61B2560/0242—Operational features adapted to measure environmental factors, e.g. temperature, pollution
- A61B2560/0247—Operational features adapted to measure environmental factors, e.g. temperature, pollution for compensation or correction of the measured physiological value
- A61B2560/0257—Operational features adapted to measure environmental factors, e.g. temperature, pollution for compensation or correction of the measured physiological value using atmospheric pressure
Abstract
The application discloses a heart rate value correction method, a heart rate value correction device and electronic equipment, and belongs to the technical field of intelligent wearable equipment, wherein the method comprises the following steps: collecting a measurement value of a preset module, wherein the preset module comprises at least one of the following: acceleration sensors, gyroscopes and barometers; determining a motion state of the smart wearable device user from the measurement value; and under the condition that the motion state of the user meets a first preset condition, correcting a first heart rate value obtained by a heart rate sensor. The heart rate value correction method disclosed by the application can effectively correct the heart rate value measured by the heart rate sensor, so that the accuracy of the calculated heart rate value is improved.
Description
Technical Field
The embodiment of the invention relates to the technical field of communication, in particular to a heart rate value correction method and device and electronic equipment.
Background
The intelligent wearable device is a general term for intelligently designing daily wearing and developing wearable devices by applying a wearable technology. The intelligent wearable device is mainly in the form of portable accessories which have partial calculation functions and can be connected with a mobile phone and various terminals. The most common smart bracelets, smart rings, smart necklaces and the like. The smart wearable device may record exercise, sleep, diet real-time data in the user's daily life, such as running time, pace, GPS path trajectory, calories burned, heart rate, and the like.
When the current intelligent wearable device detects the heart rate of a user, the heart rate of the user is determined by a heart rate signal detected by a PPG (photoplethysmography) optical heart rate sensor arranged in the intelligent wearable device. The user is in the motion state because the wearable equipment of intelligence is not worn tightly, with the body contact failure or there is relative motion etc. reason such as intelligent wearable equipment and user's arm, the heart rate signal that PPG optics heart rate sensor detected easily with user's motion frequency crisscross confusion, the heart rate signal accuracy that detects is low, finally leads to the heart rate value accuracy degree based on this heart rate signal determination to be low.
Disclosure of Invention
The embodiment of the application aims to provide a heart rate value correction method, which can solve the problem of accuracy of a determined heart rate value based on a heart rate signal detected by a PPG optical heart rate sensor.
In order to solve the technical problem, the invention is realized as follows:
in a first aspect, an embodiment of the present application provides a heart rate value correction method, which is applied to a smart wearable device, where the method includes: collecting a measurement value of a preset module, wherein the preset module comprises at least one of the following: acceleration sensors, gyroscopes and barometers; determining a motion state of the smart wearable device user from the measurement value; under the condition that the motion state of the user meets a first preset condition, correcting a first heart rate value obtained by a heart rate sensor; wherein the first preset condition comprises at least one of: the gravitational potential energy is reduced in the movement process, and the ratio of the first heart rate value to the user step frequency is larger than a first preset value; the motion state of the user belongs to a preset motion state, and the first heart rate value is not in a heart rate value range corresponding to the motion state of the user.
In a second aspect, an embodiment of the present application provides a heart rate value correction apparatus, which is applied to a smart wearable device, where the apparatus includes: the acquisition module is used for acquiring the measured value of the preset module, wherein the preset module comprises at least one of the following components: acceleration sensors, gyroscopes and barometers; the motion state judgment module is used for determining the motion state of the intelligent wearable device user according to the measured value; the correction module is used for correcting a first heart rate value obtained by calculation of a heart rate sensor under the condition that the motion state of the user meets a first preset condition; wherein the first preset condition comprises at least one of: the gravitational potential energy is reduced in the movement process, and the ratio of the first heart rate value to the user step frequency is larger than a first preset value; the motion state of the user belongs to a preset motion state, and the first heart rate value is not in a heart rate value range corresponding to the motion state of the user.
In a third aspect, an embodiment of the present application provides an electronic device, which includes a processor, a memory, and a program or instructions stored on the memory and executable on the processor, and when executed by the processor, the program or instructions implement the steps of the method according to the first aspect.
In a fourth aspect, embodiments of the present application provide a readable storage medium, on which a program or instructions are stored, which when executed by a processor implement the steps of the method according to the first aspect.
In a fifth aspect, an embodiment of the present application provides a chip, where the chip includes a processor and a communication interface, where the communication interface is coupled to the processor, and the processor is configured to execute a program or instructions to implement the method according to the first aspect.
In the embodiment of the application, the measured value of a preset module is collected; determining the motion state of the intelligent wearable device user according to the measurement value of the preset module; under the condition that the motion state of the user meets the first preset condition, the first heart rate value obtained by the heart rate sensor is corrected, and the accuracy of the determined heart rate value of the user can be improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the description of the embodiments of the present application will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive labor.
FIG. 1 is a flow chart illustrating the steps of a method for modifying a heart rate value according to an embodiment of the present application;
FIG. 2 is a block diagram illustrating a heart rate value correction apparatus according to an embodiment of the present application;
fig. 3 is a block diagram showing a configuration of an electronic device according to an embodiment of the present application;
fig. 4 is a schematic diagram illustrating a hardware structure of an electronic device according to an embodiment of the present application.
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 some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms first, second and the like in the description and in the claims of the present application are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that embodiments of the application may be practiced in sequences other than those illustrated or described herein, and that the terms "first," "second," and the like are generally used herein in a generic sense and do not limit the number of terms, e.g., the first term can be one or more than one. In addition, "and/or" in the specification and claims means at least one of connected objects, a character "/" generally means that a preceding and succeeding related objects are in an "or" relationship.
The heart rate value correction method provided by the embodiment of the present application is described in detail below with reference to the accompanying drawings by specific embodiments and application scenarios thereof.
Referring to fig. 1, a flow chart illustrating steps of a heart rate value correction method according to an embodiment of the present application is shown.
The heart rate value correction method in the embodiment of the application comprises the following steps:
step 101: and collecting the measured value of the preset module.
The heart rate value correction method is suitable for intelligent wearable equipment, various inertial sensors and barometers are installed in the intelligent wearable equipment, motion information such as motion characteristics, arm swing conditions, motion kinetic energy and gravitational potential energy variation of a user in a period of time can be identified through measurement values of the various inertial sensors and the barometers, and the motion state of the user can be determined based on the motion information. Wherein, predetermine the module and include at least one of following: acceleration sensors, gyroscopes, and barometers.
Step 102: determining a motion state of the smart wearable device user from the measurement values.
The motion state of the user may include, but is not limited to: the state of climbing, descending, sprinting and running, the state of running fast, the state of swinging arm fast or running fast greatly, the state of not swinging arm slow running, the state of not swinging arm fast running, the state of swinging arm normal running or fast running, the state of swinging arm normal running, the state of swinging arm slow running, the state of not swinging arm slow running, the state of static and the like.
After determining the motion state of the user, it is further determined whether the motion state of the user satisfies a first preset condition.
Wherein the first preset condition comprises at least one of the following conditions: the gravitational potential energy is reduced in the movement process, and the ratio of the first heart rate value to the user step frequency is larger than a first preset value; the motion state of the user belongs to any one of the preset motion states, and the first heart rate value is not in the range of the heart rate value corresponding to the motion state of the user.
The first preset value may be set by a person skilled in the art according to actual requirements, which is not specifically limited in the embodiment of the present application. For example: the first preset value may be set to 2, 3, etc.
When the gravitational potential energy of the user is reduced in the exercise process and the ratio of the first heart rate value to the user step frequency is larger than a first preset value, the user is indicated to do exercises such as going downstairs or going downhill, and in the exercise state, if the ratio of the first heart rate value to the user step frequency is larger than the first preset value, the situation that second harmonic or third harmonic of exercise frequency and heart rate signals are staggered and confused can be determined, the exercise frequency is easily mistaken for the frequency of the heart rate signals by the system, and therefore the heart rate value calculated based on the wrong heart rate signals needs to be further corrected.
A plurality of motion states and heart rate value ranges corresponding to the motion states are preset in the system. In the actual implementation process, the system can judge the current motion state of the user according to the kinetic energy generated by the user doing work on the intelligent wearable device and the step frequency of the user within the preset time length, and respectively match the current motion state of the user with various preset motion states in the system, so as to judge whether the current motion state of the user is any one of the preset motion states, wherein the preset time length can be set by technicians in the field according to actual requirements, for example: 1.5 seconds, 2 seconds, or 3 seconds, etc.
The preset multiple motion states may include, but are not limited to: the state of thorny running, the state of fast walking or running of the large-amplitude swing arm, the state of no swing arm during slow running, the state of no swing arm during fast walking, the state of normal walking or fast walking of the large-amplitude swing arm, the state of normal walking of the swing arm, the state of slow walking of the swing arm, the state of no swing arm during slow walking and the state of rest. The range of heart rate values corresponding to each preset motion state is different, and the range of heart rate values corresponding to each preset motion state can be determined by a person skilled in the art through experiments.
When the motion state of the user belongs to the preset motion state and the first heart rate value is not in the range of the heart rate value corresponding to the motion state of the user, it is indicated that the currently calculated first heart rate value is not in accordance with the convention, and therefore, the first heart rate value needs to be further corrected.
Step 103: and under the condition that the motion state of the user meets a first preset condition, correcting a first heart rate value obtained by the heart rate sensor.
The heart rate algorithm generally obtains frequency domain spectrum information after a heart rate signal detected by a heart rate sensor is subjected to Fourier transform, peaks with higher heights in the spectrum information are called spectral peaks, the spectral peaks may correspond to the frequency of the heart rate signal and the frequency of an interference signal, and a correct spectral peak is found from the spectrum information and used as a basis for calculating a high-accuracy heart rate value.
The first heart rate value is obtained by the heart rate sensor according to the following modes: the method comprises the steps of carrying out Fourier transform on a heart rate signal measured by a heart rate sensor to obtain frequency spectrum information of a frequency domain, determining a spectral peak with the highest peak in the frequency spectrum information, and determining a first heart rate value based on the frequency of the spectral peak with the highest peak.
When the first heart rate value is corrected, a spectrum peak corresponding to a real heart rate signal can be selected from the spectrum information according to a preset rule to determine the corrected heart rate value.
According to the heart rate value correction method provided by the embodiment of the application, the measured value of a preset module is collected; determining the motion state of the intelligent wearable device user according to the measurement value of the preset module; under the condition that the motion state of the user meets the first preset condition, the first heart rate value obtained by the heart rate sensor is corrected, and the accuracy of the determined heart rate value of the user can be improved.
In an optional embodiment, in the case that the preset modules include barometers, the step of determining the user status of the smart wearable device according to the measurement values of the preset modules includes the following sub-steps:
the first substep: and determining the variation of the altitude of the user according to the variation of the barometric pressure measured by the barometer.
The barometric pressure value of the barometer can be converted into a height value, so that the change of the altitude of the user can be determined through the change of the barometric pressure value measured by the barometer. Whether the user moves on flat ground can be determined by the amount of change in the altitude at which the user is located.
And a second substep: and judging whether the user moves on the flat ground or not according to the altitude variation.
Determining that the user moves on the flat ground under the condition that the variation of the altitude is smaller than the preset altitude variation; otherwise, it is determined that the user is not moving on the flat ground, the user goes upstairs and downstairs, and the like.
And a third substep: and under the condition that the user does not move on the flat ground, calculating the variation of the gravitational potential energy of the user according to the variation of the altitude.
Altitude variations positive and negative may indicate whether a user is ascending stairs or mountains, or descending stairs or mountains. Through the variation of the altitude of the user, the variation of the gravitational potential energy of the user can be determined. In the case where the gravitational potential energy of the user is reduced, it is described that the user is performing a movement such as going down stairs or going down a mountain.
And a fourth substep: in case the gravitational potential energy is reduced, a ratio of the first heart rate value to the user's step frequency is calculated.
The first heart rate value is calculated by the heart rate sensor according to a traditional heart rate calculation mode. The detection mode of the user step frequency can be obtained by adopting any appropriate existing detection mode. For example: can be determined by the measurement values of a gyroscope and an acceleration sensor.
And a fifth substep: and under the condition that the ratio is greater than a first preset value, determining that the motion state of the user meets a first preset condition.
The first preset value can be set by a person skilled in the art according to actual requirements, for example: set to 2, 3 or 4, etc.
The gravitational potential energy of the user is reduced and converted into kinetic energy. If the first heart rate value calculated by the traditional heart rate algorithm reaches the first preset value multiple of the user step frequency, the second harmonic or the third harmonic of the movement frequency is considered to be interlaced and confused with the heart rate signal, so that the system mistakenly considers the second harmonic or the third harmonic of the movement frequency as the frequency of the heart rate signal, and therefore the calculated first heart rate value needs to be corrected.
When the gravitational potential energy of the user is increased, even if the step frequency and the kinetic energy of the user are not large, the first heart rate value does not need to be corrected when the first heart rate value is too large. That is, under the condition that the gravitational potential energy of the user is increased and the ratio of the first heart rate value to the user step frequency is greater than the first preset value, the first heart rate value does not need to be corrected. For example: when the user climbs stairs or mountains upwards, even if the step frequency is not large and the kinetic energy is not large, the increase of the gravitational potential energy of the user needs more calories consumed by the human body, so that a larger heart rate value can appear in the real heart rate, and the calculated first heart rate value is not required to be corrected under the condition.
The method for determining the motion state of the user to meet the first preset condition through the ratio of the first heart rate value of the user to the step frequency optionally under the condition that the gravitational potential energy of the user is reduced has the advantages of clear judgment standard and high judgment result accuracy.
In an optional embodiment, in the case that the preset module includes a gyroscope and an acceleration sensor, after the step of determining whether the user moves on the flat ground according to the altitude variation, the following sub-steps may be further included:
and a sixth substep: in the case where the user moves on a flat ground, whether the user's arm swings is determined by the measurement values of the acceleration sensor and the gyroscope.
And under the condition that the variation of the altitude of the user is smaller than the preset variation of the altitude, determining that the user moves on the flat ground. There are many possible movement states of the user on the flat ground, for example: stationary, jogging, running, weight holding jogging, etc. Whether the wrist of the user is static relative to the body trunk can be determined by judging whether the arm of the user swings.
Under the condition that the user does not swing arms, namely the wrist of the user is static relative to the body trunk, the user can be judged to carry luggage, and at the moment, the real heart rate value of the user is influenced by the weight of the luggage, so that various possibilities occur, and even if the real heart rate value is corrected, the corrected value is not necessarily accurate. And the heart rate sensor signal used to calculate the heart rate value is of good quality in the case where the wrist is stationary relative to the torso of the body, so that no correction is required for the first heart rate value of the user in this state.
And a seventh substep: in the case of a swinging arm of the user, determining a first motion state of the user according to the kinetic energy of the smart wearable device and the step frequency of the user.
The system is preset with kinetic energy ranges and step frequency ranges corresponding to various different motion states, and when the first motion state of the user is determined, the system can calculate the following motion ranges within a preset time length: the impulse applied by the user to the intelligent wearable device and the energy generated by acting within 1.5 seconds are the kinetic energy of the wearable device, the kinetic energy and the step frequency of the intelligent wearable device are matched with the preset kinetic energy range and the step frequency range corresponding to various different motion states, and finally the current first motion state of the user is determined. The first motion state is any one of a plurality of motion states preset in the system.
The preset multiple motion states may include, but are not limited to: the state of thorny running, the state of fast walking or running of the large-amplitude swing arm, the state of no swing arm during slow running, the state of no swing arm during fast walking, the state of normal walking or fast walking of the large-amplitude swing arm, the state of normal walking of the swing arm, the state of slow walking of the swing arm, the state of no swing arm during slow walking and the state of rest.
And a substep eight: and determining whether the first heart rate value calculated by the heart rate sensor is in a heart rate value range corresponding to the first motion state.
The range of heart rate values corresponding to each preset motion state is different, and the range of heart rate values corresponding to each preset motion state can be determined by a person skilled in the art through experiments. In this sub-step, the first heart rate value calculated by the traditional heart rate algorithm is compared with the heart rate value range corresponding to the first motion state, and when the first heart rate value is within the heart rate value range corresponding to the first motion state, it is indicated that the currently calculated first heart rate value conforms to the convention, so that further correction is not needed. When the first heart rate value is not in the range of the heart rate value corresponding to the first motion state of the user, it indicates that the currently calculated first heart rate value is not in accordance with the convention, and therefore, the first heart rate value needs to be further corrected.
And a substep nine: and under the condition that the first heart rate value is not in the range of the heart rate value corresponding to the first motion state, determining that the first motion state of the user meets a first preset condition.
The method optionally subdivides the motion state of the user and determines whether the first heart rate value obtained by calculation needs to be corrected or not by combining the heart rate value range corresponding to the subdivided motion state, so that the determination result is accurate and reliable.
In an optional embodiment, when the motion state of the user is that the gravitational potential energy is reduced during the motion process, and the ratio of the first heart rate value to the user step frequency is greater than a first preset value, the method for correcting the first heart rate value obtained by the heart rate sensor may be as follows:
screening each spectral peak from the frequency spectrum information; the frequency spectrum information is obtained by performing Fourier transform on a heart rate signal detected by a heart rate sensor.
Firstly, selecting a target spectrum peak from each spectrum peak;
wherein, the peak value of the target spectrum peak is smaller than the peak value of the peak value highest spectrum peak, and the frequency of the target spectrum peak is smaller than the frequency of the peak value highest spectrum peak.
Second, a second heart rate value of the user is calculated from the target spectral peak.
Wherein the second heart rate value is the corrected heart rate value.
When the gravitational potential energy of the user is reduced, and the gravitational potential energy is converted into kinetic energy. If the first heart rate value calculated by the traditional heart rate algorithm reaches the first preset value multiple of the user step frequency, the second harmonic or the third harmonic of the movement frequency is considered to be interlaced and confused with the heart rate signal, so that the system mistakenly considers the second harmonic or the third harmonic of the movement frequency as the frequency of the heart rate signal, and therefore the calculated first heart rate value needs to be corrected.
Optionally, in a mode of correcting the first heart rate value calculated in the scene that the user goes downstairs or goes downhill, other spectral peaks with shorter height and smaller frequency are selected from the spectrum information as a basic data mode of calculating the second heart rate value, and the corrected second heart rate value is more matched with the real heart rate of the user.
In an optional embodiment, when the motion state of the user belongs to the preset motion state and the first heart rate value is not in the range of the heart rate value corresponding to the motion state of the user, the method for correcting the first heart rate value obtained by the heart rate sensor may be as follows:
first, a spectral peak having the second highest peak is selected from the spectral information.
The frequency spectrum information is obtained by performing Fourier transform on a heart rate signal detected by a heart rate sensor.
Secondly, a third heart rate value of the user is calculated according to the spectral peak with the next highest peak value.
Wherein the second heart rate value is the corrected heart rate value.
In this way, the heart rate value can be optionally corrected, and the corrected second heart rate value is more suitable for the real heart rate of the user.
It should be noted that, in the heart rate value correction method provided in the embodiment of the present application, the execution subject may be a heart rate value correction device, or a control module in the heart rate value correction device for executing the heart rate value correction method. In the embodiment of the present application, a method for performing a heart rate value correction by a heart rate value correction module is taken as an example to describe the heart rate value correction device provided in the embodiment of the present application.
Fig. 2 is a block diagram of a heart rate value correction apparatus according to an embodiment of the present disclosure.
The heart rate value correction device 200 of the embodiment of the application is applied to an intelligent wearable device, wherein the device comprises the following functional modules:
the acquisition module 201 is configured to acquire a measurement value of a preset module, where the preset module includes at least one of: acceleration sensors, gyroscopes and barometers;
a motion state determination module 202, configured to determine a motion state of the smart wearable device user according to the measurement value;
the correction module 203 is configured to correct a first heart rate value obtained by a heart rate sensor when the motion state of the user meets a first preset condition;
wherein the first preset condition comprises at least one of: the gravitational potential energy is reduced in the movement process, and the ratio of the first heart rate value to the user step frequency is larger than a first preset value; the motion state of the user belongs to a preset motion state, and the first heart rate value is not in a heart rate value range corresponding to the motion state of the user.
Optionally, the motion state determining module includes:
the first sub-module is used for determining the variation of the altitude of the user according to the variation of the barometric pressure measured by the barometer under the condition that the preset module comprises the barometer;
the second submodule is used for judging whether the user moves on the flat ground or not according to the altitude variation;
the third sub-module is used for calculating the variation of the gravitational potential energy of the user according to the altitude variation under the condition that the user does not move on the flat ground;
a fourth sub-module for calculating a ratio of the first heart rate value to a user step frequency in case the gravitational potential energy decreases;
and the fifth sub-module is used for determining that the motion state of the user meets a first preset condition under the condition that the ratio is greater than a first preset value.
Optionally, the motion state determining module further includes:
the sixth sub-module is used for judging whether the user moves on the flat ground or not according to the altitude variation in the second sub-module under the condition that the preset module comprises a gyroscope and an acceleration sensor, and determining whether the arm of the user swings or not according to the measurement values of the acceleration sensor and the gyroscope under the condition that the user moves on the flat ground;
the seventh sub-module is used for determining a first motion state of the user according to the kinetic energy of the intelligent wearable device and the step frequency of the user under the condition that the arm of the user swings;
the eighth submodule is used for determining whether the first heart rate value calculated by the heart rate sensor is in a heart rate value range corresponding to the first motion state;
a ninth sub-module, configured to determine that the first motion state of the user satisfies a first preset condition when the first heart rate value is not within the range of heart rate values corresponding to the first motion state.
Optionally, the modification module includes:
the first submodule is used for screening each spectrum peak from the spectrum information under the condition that the motion state of the user is that the gravitational potential energy is reduced in the motion process and the ratio of the first heart rate value to the user step frequency is greater than a first preset value; the frequency spectrum information is obtained by performing Fourier transform on a heart rate signal detected by the heart rate sensor;
a second sub-module, configured to select a target spectral peak from the spectral peaks, where a peak of the target spectral peak is smaller than a peak of a peak-highest spectral peak, and a frequency of the target spectral peak is smaller than a frequency of the peak-highest spectral peak;
and the third submodule is used for calculating a second heart rate value of the user according to the target spectrum peak, wherein the second heart rate value is the corrected heart rate value.
Optionally, the modification module includes:
the fourth sub-module is used for selecting a spectral peak with the second highest peak value from the spectrum information under the condition that the motion state of the user belongs to a preset motion state and the first heart rate value is not in a heart rate value range corresponding to the motion state of the user; the frequency spectrum information is obtained by performing Fourier transform on a heart rate signal detected by the heart rate sensor;
and the fifth submodule is used for calculating a third heart rate value of the user according to the spectral peak with the highest peak value, wherein the second heart rate value is the corrected heart rate value.
According to the heart rate value correction device provided by the embodiment of the application, the measured value of the preset module is collected; determining the motion state of the intelligent wearable device user according to the measurement value of the preset module; under the condition that the motion state of the user meets the first preset condition, the first heart rate value obtained by the heart rate sensor is corrected, and the accuracy of the determined heart rate value of the user can be improved.
The heart rate value correction device in the embodiment of the present application may be a device, or may be a component, an integrated circuit, or a chip in a terminal. The device can be mobile electronic equipment or non-mobile electronic equipment. By way of example, the mobile electronic device may be a mobile phone, a tablet computer, a notebook computer, a palm top computer, a vehicle-mounted electronic device, a wearable device, an ultra-mobile personal computer (UMPC), a netbook or a Personal Digital Assistant (PDA), and the like, and the non-mobile electronic device may be a server, a Network Attached Storage (NAS), a Personal Computer (PC), a Television (TV), a teller machine or a self-service machine, and the like, and the embodiments of the present application are not particularly limited.
The heart rate value correction device in the embodiment of the present application may be a device having an operating system. The operating system may be an Android operating system (Android), an iOS operating system, or other possible operating systems, which is not specifically limited in the embodiments of the present application.
The heart rate value correction device provided in the embodiment of the present application can implement each process implemented in the method embodiment of fig. 1, and is not described here again to avoid repetition.
Optionally, as shown in fig. 3, an electronic device 300 is further provided in this embodiment of the present application, and includes a processor 301, a memory 302, and a program or an instruction stored in the memory 302 and capable of running on the processor 301, where the program or the instruction is executed by the processor 301 to implement each process of the above-mentioned heart rate value correction method embodiment, and can achieve the same technical effect, and in order to avoid repetition, it is not described here again.
It should be noted that the electronic devices in the embodiments of the present application include the mobile electronic devices and the non-mobile electronic devices described above.
Fig. 4 is a schematic diagram of a hardware structure of an electronic device implementing an embodiment of the present application.
The electronic device 400 includes, but is not limited to: radio frequency unit 401, network module 402, audio output unit 403, input unit 404, sensor 405, display unit 406, user input unit 407, interface unit 408, memory 409, processor 410, and the like, and electronic device 400 includes a folding screen.
Those skilled in the art will appreciate that the electronic device 400 may further include a power source (e.g., a battery) for supplying power to various components, and the power source may be logically connected to the processor 410 through a power management system, so as to implement functions of managing charging, discharging, and power consumption through the power management system. The electronic device structure shown in fig. 4 does not constitute a limitation of the electronic device, and the electronic device may include more or less components than those shown, or combine some components, or arrange different components, and thus, the description is omitted here.
The processor 410 is configured to acquire a measurement value of a preset module, where the preset module includes at least one of: acceleration sensors, gyroscopes and barometers;
determining a motion state of the smart wearable device user from the measurement value;
under the condition that the motion state of the user meets a first preset condition, correcting a first heart rate value calculated by a heart rate sensor;
wherein the first preset condition comprises at least one of: the gravitational potential energy is reduced in the movement process, and the ratio of the first heart rate value to the user step frequency is larger than a first preset value; the motion state of the user belongs to a preset motion state, and the first heart rate value is not in a heart rate value range corresponding to the motion state of the user.
In the embodiment of the application, the electronic equipment collects the measured value of the preset module; determining the motion state of the intelligent wearable device user according to the measurement value of the preset module; under the condition that the motion state of the user meets the first preset condition, the first heart rate value obtained by the heart rate sensor is corrected, and the accuracy of the determined heart rate value of the user can be improved.
Optionally, when the preset module includes a barometer, and the processor 410 determines the user state of the electronic device according to the measurement value, specifically configured to:
determining the variation of the altitude of the user according to the variation of the barometric pressure value measured by the barometer;
judging whether the user moves on the flat ground or not according to the altitude variation;
under the condition that the user does not move on the flat ground, calculating the variation of the gravitational potential energy of the user according to the altitude variation;
calculating a ratio of the first heart rate value to a user step frequency in a case where the gravitational potential energy decreases;
and under the condition that the ratio is greater than a first preset value, determining that the motion state of the user meets a first preset condition.
Optionally, in a case that the preset module includes a gyroscope and an acceleration sensor, after determining whether the user moves on a flat ground according to the altitude variation, the processor 410 is further configured to: determining whether the user's arm swings through the measurement values of the acceleration sensor and the gyroscope in the case where the user moves on a flat ground;
determining a first motion state of the user according to the kinetic energy of the smart wearable device and the step frequency of the user when the arm of the user swings;
determining whether a first heart rate value calculated by a heart rate sensor is in a heart rate value range corresponding to the first motion state;
and under the condition that the first heart rate value is not in the range of the heart rate value corresponding to the first motion state, determining that the first motion state of the user meets a first preset condition.
Optionally, when the motion state of the user is that the gravitational potential energy is reduced in the motion process, and the ratio of the first heart rate value to the user step frequency is greater than a first preset value, the processor 410 corrects the first heart rate value obtained by the heart rate sensor, and is specifically configured to:
screening each spectral peak from the frequency spectrum information; the frequency spectrum information is obtained by performing Fourier transform on a heart rate signal detected by the heart rate sensor;
selecting a target spectral peak from the spectral peaks, wherein the peak value of the target spectral peak is smaller than the peak value of the peak value highest spectral peak, and the frequency of the target spectral peak is smaller than the frequency of the peak value highest spectral peak;
and calculating a second heart rate value of the user according to the target spectrum peak, wherein the second heart rate value is the corrected heart rate value.
Optionally, when the motion state of the user belongs to a preset motion state and the first heart rate value is not within the range of the heart rate value corresponding to the motion state of the user, the processor 410 is specifically configured to, when the first heart rate value obtained by the heart rate sensor is corrected:
selecting a spectral peak with the next highest peak value from the spectral information; the frequency spectrum information is obtained by performing Fourier transform on a heart rate signal detected by the heart rate sensor;
and calculating a third heart rate value of the user according to the spectral peak with the highest peak value, wherein the second heart rate value is the corrected heart rate value.
It should be understood that in the embodiment of the present application, the input Unit 404 may include a Graphics Processing Unit (GPU) 4041 and a microphone 4042, and the Graphics processor 4041 processes image data of a still picture or a video obtained by an image capturing device (such as a camera) in a video capturing mode or an image capturing mode. The display unit 406 may include a display panel 4061, and the display panel 4061 may be configured in the form of a liquid crystal display, an organic light emitting diode, or the like. The user input unit 407 includes a touch panel 4071 and other input devices 4072. Touch panel, 4071, also known as a touch screen. The touch panel 4071 may include two parts, a touch detection device and a touch controller. Other input devices 4072 may include, but are not limited to, a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, and a joystick, which are not described in detail herein. The memory 409 may be used to store software programs as well as various data including, but not limited to, application programs and an operating system. The processor 410 may integrate an application processor, which primarily handles operating systems, user interfaces, applications, etc., and a modem processor, which primarily handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 410.
The embodiment of the present application further provides a readable storage medium, where a program or an instruction is stored on the readable storage medium, and when the program or the instruction is executed by a processor, the program or the instruction implements each process of the above-mentioned heart rate value correction method embodiment, and can achieve the same technical effect, and in order to avoid repetition, details are not repeated here.
The processor is the processor in the electronic device described in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and so on.
The embodiment of the present application further provides a chip, where the chip includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is configured to execute a program or an instruction to implement each process of the above-mentioned heart rate value correction method embodiment, and can achieve the same technical effect, and in order to avoid repetition, the description is omitted here.
It should be understood that the chips mentioned in the embodiments of the present application may also be referred to as system-on-chip, system-on-chip or system-on-chip, etc.
It should be noted that, in this document, 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 like elements in a process, method, article, or apparatus that comprises the element. Further, it should be noted that the scope of the methods and apparatus of the embodiments of the present application is not limited to performing the functions in the order illustrated or discussed, but may include performing the functions in a substantially simultaneous manner or in a reverse order based on the functions involved, e.g., the methods described may be performed in an order different than that described, and various steps may be added, omitted, or combined. In addition, features described with reference to certain examples may be combined in other examples.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present application.
While the present embodiments have been described with reference to the accompanying drawings, it is to be understood that the invention is not limited to the precise embodiments described above, which are meant to be illustrative and not restrictive, and that various changes may be made therein by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (11)
1. A heart rate value correction method is applied to intelligent wearable equipment and is characterized by comprising the following steps:
collecting a measurement value of a preset module, wherein the preset module comprises at least one of the following: acceleration sensors, gyroscopes and barometers;
determining a motion state of the smart wearable device user from the measurement value;
under the condition that the motion state of the user meets a first preset condition, correcting a first heart rate value obtained by a heart rate sensor;
wherein the first preset condition comprises at least one of: the gravitational potential energy is reduced in the movement process, and the ratio of the first heart rate value to the user step frequency is larger than a first preset value; the motion state of the user belongs to a preset motion state, and the first heart rate value is not in a heart rate value range corresponding to the motion state of the user.
2. The method of claim 1, wherein in the case that the preset module comprises a barometer, the step of determining the motion state of the smart wearable device user from the measurement value comprises:
determining the variation of the altitude of the user according to the variation of the barometric pressure value measured by the barometer;
judging whether the user moves on the flat ground or not according to the altitude variation;
under the condition that the user does not move on the flat ground, calculating the variation of the gravitational potential energy of the user according to the altitude variation;
calculating a ratio of the first heart rate value to a user step frequency in a case where the gravitational potential energy decreases;
and under the condition that the ratio is greater than a first preset value, determining that the motion state of the user meets a first preset condition.
3. The method as claimed in claim 2, wherein in case that the preset module includes a gyroscope and an acceleration sensor, after the step of determining whether the user is moving on the flat ground according to the amount of altitude change, the method further comprises:
determining whether the user's arm swings through the measurement values of the acceleration sensor and the gyroscope in the case where the user moves on a flat ground;
determining a first motion state of the user according to the kinetic energy of the smart wearable device and the step frequency of the user when the arm of the user swings;
determining whether a first heart rate value calculated by a heart rate sensor is in a heart rate value range corresponding to the first motion state;
and under the condition that the first heart rate value is not in the range of the heart rate value corresponding to the first motion state, determining that the first motion state of the user meets a first preset condition.
4. The method according to claim 1, wherein when the motion state of the user is that the gravitational potential energy is reduced during the motion process, and the ratio of the first heart rate value to the user step frequency is greater than a first preset value, the step of correcting the first heart rate value obtained by the heart rate sensor comprises:
screening each spectral peak from the frequency spectrum information; the frequency spectrum information is obtained by performing Fourier transform on a heart rate signal detected by the heart rate sensor;
selecting a target spectral peak from the spectral peaks, wherein the peak value of the target spectral peak is smaller than the peak value of the peak value highest spectral peak, and the frequency of the target spectral peak is smaller than the frequency of the peak value highest spectral peak;
and calculating a second heart rate value of the user according to the target spectrum peak, wherein the second heart rate value is the corrected heart rate value.
5. The method according to claim 1, wherein the step of correcting the first heart rate value obtained by the heart rate sensor when the motion state of the user belongs to a preset motion state and the first heart rate value is not in a heart rate value range corresponding to the motion state of the user comprises:
selecting a spectral peak with the next highest peak value from the spectral information; the frequency spectrum information is obtained by performing Fourier transform on a heart rate signal detected by the heart rate sensor;
and calculating a third heart rate value of the user according to the spectral peak with the highest peak value, wherein the second heart rate value is the corrected heart rate value.
6. A heart rate value correction device is applied to intelligent wearable equipment, and is characterized in that the device comprises:
the acquisition module is used for acquiring the measured value of the preset module, wherein the preset module comprises at least one of the following components: acceleration sensors, gyroscopes and barometers;
a motion state determination module for determining a motion state of the smart wearable device user from the measurement value;
the correction module is used for correcting a first heart rate value obtained by a heart rate sensor under the condition that the motion state of the user meets a first preset condition;
wherein the first preset condition comprises at least one of: the gravitational potential energy is reduced in the movement process, and the ratio of the first heart rate value to the user step frequency is larger than a first preset value; the motion state of the user belongs to a preset motion state, and the first heart rate value is not in a heart rate value range corresponding to the motion state of the user.
7. The apparatus of claim 6, wherein the motion state determination module comprises:
the first sub-module is used for determining the variation of the altitude of the user according to the variation of the barometric pressure measured by the barometer under the condition that the preset module comprises the barometer;
the second submodule is used for judging whether the user moves on the flat ground or not according to the altitude variation;
the third sub-module is used for calculating the variation of the gravitational potential energy of the user according to the altitude variation under the condition that the user does not move on the flat ground;
a fourth sub-module for calculating a ratio of the first heart rate value to a user step frequency in case the gravitational potential energy decreases;
and the fifth sub-module is used for determining that the motion state of the user meets a first preset condition under the condition that the ratio is greater than a first preset value.
8. The apparatus of claim 7, wherein the motion state determination module further comprises:
the sixth sub-module is used for judging whether the user moves on the flat ground or not according to the altitude variation in the second sub-module under the condition that the preset module comprises a gyroscope and an acceleration sensor, and determining whether the arm of the user swings or not according to the measurement values of the acceleration sensor and the gyroscope under the condition that the user moves on the flat ground;
the seventh sub-module is used for determining a first motion state of the user according to the kinetic energy of the intelligent wearable device and the step frequency of the user under the condition that the arm of the user swings;
the eighth submodule is used for determining whether the first heart rate value calculated by the heart rate sensor is in a heart rate value range corresponding to the first motion state;
a ninth sub-module, configured to determine that the first motion state of the user satisfies a first preset condition when the first heart rate value is not within the range of heart rate values corresponding to the first motion state.
9. The apparatus of claim 6, wherein the modification module comprises:
the first submodule is used for screening each spectrum peak from the spectrum information under the condition that the motion state of the user is that the gravitational potential energy is reduced in the motion process and the ratio of the first heart rate value to the user step frequency is greater than a first preset value; the frequency spectrum information is obtained by performing Fourier transform on a heart rate signal detected by the heart rate sensor;
a second sub-module, configured to select a target spectral peak from the spectral peaks, where a peak of the target spectral peak is smaller than a peak of a peak-highest spectral peak, and a frequency of the target spectral peak is smaller than a frequency of the peak-highest spectral peak;
and the third submodule is used for calculating a second heart rate value of the user according to the target spectrum peak, wherein the second heart rate value is the corrected heart rate value.
10. The apparatus of claim 6, wherein the modification module comprises:
the fourth sub-module is used for selecting a spectral peak with the second highest peak value from the spectrum information under the condition that the motion state of the user belongs to a preset motion state and the first heart rate value is not in a heart rate value range corresponding to the motion state of the user; the frequency spectrum information is obtained by performing Fourier transform on a heart rate signal detected by the heart rate sensor;
and the fifth submodule is used for calculating a third heart rate value of the user according to the spectral peak with the highest peak value, wherein the second heart rate value is the corrected heart rate value.
11. An electronic device comprising a processor, a memory, and a program or instructions stored on the memory and executable on the processor, which program or instructions, when executed by the processor, implement the steps of the heart rate value correction method according to any one of claims 1 to 5.
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Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105105737A (en) * | 2015-08-03 | 2015-12-02 | 南京盟联信息科技有限公司 | Motion state heart rate monitoring method based on photoplethysmography and spectrum analysis |
| CN105496416A (en) * | 2015-12-28 | 2016-04-20 | 歌尔声学股份有限公司 | Human motion state recognition method and device |
| CN105919584A (en) * | 2016-06-23 | 2016-09-07 | 电子科技大学 | Heart rate estimation method and device for wearable heart rate monitoring equipment |
| US20170020398A1 (en) * | 2015-07-22 | 2017-01-26 | Quicklogic Corporation | Heart rate monitor |
| US20170095169A1 (en) * | 2015-10-05 | 2017-04-06 | Microsoft Technology Licensing, Llc | Heart rate correction for relative activity strain |
| CN106580292A (en) * | 2016-12-23 | 2017-04-26 | 广东乐源数字技术有限公司 | Method for correcting measurement result of intelligent bracelet sensor |
| CN106937871A (en) * | 2016-01-05 | 2017-07-11 | 袁囡囡 | Smart motion condition detecting system |
| CN108654063A (en) * | 2018-05-18 | 2018-10-16 | 四川斐讯信息技术有限公司 | A kind of the heart rate acquisition equipment and heart rate acquisition methods of open air running |
| CN108903929A (en) * | 2018-03-30 | 2018-11-30 | 广东思派康电子科技有限公司 | The modified method, apparatus of heart rate detection, storage medium and system |
| JP2019005503A (en) * | 2017-06-28 | 2019-01-17 | 富士通株式会社 | Heart rate correction program, heart rate correction method, and heart rate correction system |
| CN109875543A (en) * | 2019-02-01 | 2019-06-14 | 电子科技大学 | For the heart rate estimation method and device under a variety of fitness exercise conditions of wearable heart rate monitor apparatus |
| CN110074770A (en) * | 2019-05-08 | 2019-08-02 | 江苏康兮运动健康研究院有限公司 | A kind of assessment method and device of aerobic exercise target strength |
| CN110263870A (en) * | 2019-06-26 | 2019-09-20 | 深圳市悦动天下科技有限公司 | Moving state identification method, apparatus, intelligent terminal and storage medium |
| CN110876613A (en) * | 2019-09-27 | 2020-03-13 | 深圳先进技术研究院 | Human motion state identification method and system and electronic equipment |
| CN111589093A (en) * | 2020-06-18 | 2020-08-28 | 广东高驰运动科技有限公司 | Heart rate value correction method based on intelligent wearable device and intelligent wearable device |
| CN112057067A (en) * | 2020-09-03 | 2020-12-11 | 青岛歌尔智能传感器有限公司 | Heart rate detection method, wearable device and readable storage medium |
-
2021
- 2021-01-22 CN CN202110090405.9A patent/CN112790752B/en active Active
Patent Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170020398A1 (en) * | 2015-07-22 | 2017-01-26 | Quicklogic Corporation | Heart rate monitor |
| CN105105737A (en) * | 2015-08-03 | 2015-12-02 | 南京盟联信息科技有限公司 | Motion state heart rate monitoring method based on photoplethysmography and spectrum analysis |
| US20170095169A1 (en) * | 2015-10-05 | 2017-04-06 | Microsoft Technology Licensing, Llc | Heart rate correction for relative activity strain |
| CN105496416A (en) * | 2015-12-28 | 2016-04-20 | 歌尔声学股份有限公司 | Human motion state recognition method and device |
| CN106937871A (en) * | 2016-01-05 | 2017-07-11 | 袁囡囡 | Smart motion condition detecting system |
| CN105919584A (en) * | 2016-06-23 | 2016-09-07 | 电子科技大学 | Heart rate estimation method and device for wearable heart rate monitoring equipment |
| CN106580292A (en) * | 2016-12-23 | 2017-04-26 | 广东乐源数字技术有限公司 | Method for correcting measurement result of intelligent bracelet sensor |
| JP2019005503A (en) * | 2017-06-28 | 2019-01-17 | 富士通株式会社 | Heart rate correction program, heart rate correction method, and heart rate correction system |
| CN108903929A (en) * | 2018-03-30 | 2018-11-30 | 广东思派康电子科技有限公司 | The modified method, apparatus of heart rate detection, storage medium and system |
| CN108654063A (en) * | 2018-05-18 | 2018-10-16 | 四川斐讯信息技术有限公司 | A kind of the heart rate acquisition equipment and heart rate acquisition methods of open air running |
| CN109875543A (en) * | 2019-02-01 | 2019-06-14 | 电子科技大学 | For the heart rate estimation method and device under a variety of fitness exercise conditions of wearable heart rate monitor apparatus |
| CN110074770A (en) * | 2019-05-08 | 2019-08-02 | 江苏康兮运动健康研究院有限公司 | A kind of assessment method and device of aerobic exercise target strength |
| CN110263870A (en) * | 2019-06-26 | 2019-09-20 | 深圳市悦动天下科技有限公司 | Moving state identification method, apparatus, intelligent terminal and storage medium |
| CN110876613A (en) * | 2019-09-27 | 2020-03-13 | 深圳先进技术研究院 | Human motion state identification method and system and electronic equipment |
| CN111589093A (en) * | 2020-06-18 | 2020-08-28 | 广东高驰运动科技有限公司 | Heart rate value correction method based on intelligent wearable device and intelligent wearable device |
| CN112057067A (en) * | 2020-09-03 | 2020-12-11 | 青岛歌尔智能传感器有限公司 | Heart rate detection method, wearable device and readable storage medium |
Non-Patent Citations (1)
| Title |
|---|
| 曹春海等: "抑制运动干扰的心率测量方法研究", 《现代电子技术》 * |
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