WO2018223359A1 - 测量心率的方法和装置 - Google Patents

测量心率的方法和装置 Download PDF

Info

Publication number
WO2018223359A1
WO2018223359A1 PCT/CN2017/087666 CN2017087666W WO2018223359A1 WO 2018223359 A1 WO2018223359 A1 WO 2018223359A1 CN 2017087666 W CN2017087666 W CN 2017087666W WO 2018223359 A1 WO2018223359 A1 WO 2018223359A1
Authority
WO
WIPO (PCT)
Prior art keywords
heart rate
user
moment
rate value
exercise intensity
Prior art date
Application number
PCT/CN2017/087666
Other languages
English (en)
French (fr)
Inventor
罗朝洪
李国梁
王鑫山
曾端
Original Assignee
深圳市汇顶科技股份有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 深圳市汇顶科技股份有限公司 filed Critical 深圳市汇顶科技股份有限公司
Priority to PCT/CN2017/087666 priority Critical patent/WO2018223359A1/zh
Priority to CN201780000479.0A priority patent/CN110177497A/zh
Publication of WO2018223359A1 publication Critical patent/WO2018223359A1/zh

Links

Images

Classifications

    • 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

Definitions

  • the present application relates to the field of smart terminals and, more particularly, to methods and apparatus for measuring heart rate.
  • the wearable heart rate measuring device needs to collect data of a certain period of time before each start-up phase, so that the heart rate value can be accurately calculated.
  • the total time to start collecting data and complete the calculation depends on the implementation algorithm, and generally lasts from 5 seconds to 10 seconds.
  • the heart rate measuring device cannot either output any heart rate value or simply output a preset special value (such as 0 or 100, etc.). Neither of these methods can quickly output the user's current heart rate value when the device is first started, thus affecting the user experience.
  • the present application provides a method and apparatus for measuring heart rate, which is advantageous for shortening the waiting time of the heart rate measuring device to output an accurate heart rate value.
  • a method for measuring a heart rate comprising: acquiring sensing data, the sensing data comprising at least one of: a first PPG signal and a first acceleration; and the first PPG signal and the first At least one of the accelerations determines a motion intensity of the user at the first moment; and determines a heart rate value of the user at the first moment according to the motion intensity of the user at the first moment and the correspondence between the exercise intensity and the heart rate value.
  • the first moment may be specifically the current moment.
  • the exercise intensity of the user at the first moment may be referred to as a first exercise intensity
  • the heart rate value for the first moment may be referred to as a first heart rate value
  • the heart rate measuring device can determine the exercise intensity of the user according to the acquired sensing data.
  • the heart rate measuring device determines the current heart rate value of the user according to the current exercise intensity of the user and the correspondence between the exercise intensity and the heart rate value.
  • the method for measuring the heart rate provided by the embodiment of the present invention can predict the current heart rate value of the user and output it to the user according to different motion states currently being used by the user in a short time, which is beneficial to shortening the heart rate measuring device just after starting up. Users wait for time to enhance the user experience.
  • the heart rate measuring device acquires the sensing data, and the heart rate measuring device collects the sensing data during a period of time with a preset duration when the heart rate measuring device is started.
  • the preset duration may be less than 5 seconds.
  • the preset duration is less than or equal to 2 seconds.
  • determining the motion intensity of the user at the first moment according to the sensing data may include: if the noise of the sensing data is higher than a preset range, determining, according to usage habit data of the heart rate measuring device by the user. The intensity of the user's exercise at the first moment.
  • the usage habit data may be obtained by the heart rate measuring device recording and learning by using information when the user uses the heart rate measuring device.
  • the heart rate measuring device may store a mapping table whose entry includes an exercise intensity and a heart rate value corresponding to the exercise intensity.
  • determining the heart rate value of the user at the first moment according to the motion intensity of the user at the first moment and the correspondence between the motion intensity and the heart rate value including: using the user at the first moment The exercise intensity queries the mapping table to determine an entry that matches the exercise intensity of the first moment; the heart rate value in the matched entry is determined as the heart rate value of the user at the first moment.
  • the mapping table may include a first entry, where the heart rate value in the first entry is processed by processing a heart rate value collected by the motion intensity of the at least one other user in the first entry. Wherein each of the at least one other user is the same or similar to the user's vital sign data.
  • the initial value of the heart rate value in the first entry may be obtained by processing a heart rate value collected by the motion intensity of the at least one other user in the first entry.
  • the method further includes: if the running time reaches a preset threshold, using the acquired second PPG signal and the second acceleration, calculating a motion intensity of the user at the second moment, and using the second PPG signal and the first
  • the second acceleration calculates a heart rate value of the user at the second time; and updates the mapping table according to the exercise intensity at the second time and the heart rate value at the second time.
  • the heart rate measuring device can process the acquired second PPG signal to obtain the heart rate value of the user at the second moment.
  • the filter can be constructed using the second acceleration and the second PPG signal can be filtered using the filter.
  • the heart rate measuring device can obtain the exercise intensity of the user at the second moment by processing the acquired second acceleration.
  • the second PPG signal may be used to determine the first parameter, and the second acceleration is processed according to the first parameter, to obtain the user at the second moment.
  • the intensity of exercise is the intensity of exercise.
  • the exercise intensity of the user at the second moment may be referred to as a second exercise intensity
  • the heart rate value of the user at the second moment may be referred to as a second heart rate value
  • the acceleration data and the PPG signal may be collected, and the current exercise intensity of the user is determined according to the collected acceleration data, and the current heart rate value of the user is determined by using the PPG signal and the acceleration data.
  • the correspondence between the exercise intensity and the heart rate value may be updated by using the current exercise intensity and the heart rate value of the user.
  • a device for measuring a heart rate for performing the method of any of the above first aspect or any of the possible implementations of the first aspect.
  • the apparatus comprises means for performing the method of any of the above-described first aspect or any of the possible implementations of the first aspect.
  • an apparatus for measuring a heart rate comprising: a memory for storing instructions for executing instructions stored in the memory, and a processor for executing instructions stored in the memory The execution causes the processor to perform the method of the first aspect or any possible implementation of the first aspect.
  • a fourth aspect provides a wearable device comprising: a memory and a processor for storing instructions for executing instructions stored by the memory, and when the processor executes the instructions stored by the memory, The execution causes the processor to perform the method of the first aspect or any possible implementation of the first aspect.
  • a computer readable medium for storing a computer program, the computer program comprising instructions for performing the method of the first aspect or any of the possible implementations of the first aspect.
  • a computer program product comprising instructions, when executed on a computer, causes the computer to perform the method of any of the first aspect or the first aspect of the first aspect.
  • exercise intensity may specifically refer to exercise intensity levels.
  • Devices in certain aspects of the present application may be wearable devices such as electronic wristbands, electronic headphones, electronic watches.
  • FIG. 1 is a schematic flowchart of a method for measuring a heart rate according to an embodiment of the present invention.
  • FIG. 2 is a schematic flowchart of another method for measuring a heart rate according to an embodiment of the present invention.
  • FIG. 3 is a schematic flowchart of an updated exercise intensity level-heart rate value mapping table according to an embodiment of the present invention.
  • FIG. 4 is a schematic block diagram of an apparatus for measuring a heart rate according to an embodiment of the present invention.
  • FIG. 5 is another schematic block diagram of an apparatus for measuring a heart rate according to an embodiment of the present invention.
  • FIG. 1 schematically illustrates a method 100 of measuring heart rate provided by an embodiment of the present invention.
  • the method 100 can be performed by a heart rate measurement device, which can be a cell phone, a tablet, a laptop, a Personal Digital Assistant (PDA), an electronic exercise device, and the like.
  • the heart rate measuring device may be a wearable device, such as an electronic wristband, an electronic earphone, an electronic wristwatch, or the like, which is not limited by the embodiment of the present invention.
  • the intensity of the exercise determined by the heart rate measuring device can be embodied in various manners, for example, in a relative value manner, or in a manner of an exercise intensity level, which is not limited in the embodiment of the present invention.
  • the heart rate measuring device acquires the sensing data, and determines the motion intensity of the user according to the acquired sensing data.
  • the heart rate measuring device includes one or more sensors and uses the sensors to collect sensing data.
  • the acquisition time of the sensor may be less than 5 s or far less than 5 s, for example, 2 s may be collected, but the embodiment of the present invention does not limit this.
  • the sensing data includes at least one of the following: a first photoplethysmography (PPG) signal and a first acceleration.
  • PPG photoplethysmography
  • the sensing data may also include other types of data, which is not limited by the embodiment of the present invention.
  • the heart rate measuring device can record and learn the user's usage habits of the heart rate measuring device, and store the learned usage habit data. That is to say, the heart rate measuring device can obtain the user's usage habit data of the heart rate measuring device according to the historical usage record of the heart rate measuring device by the user.
  • the user's current exercise intensity may be determined according to the stored user's usage habit data of the heart rate measuring device.
  • the usage habit data of the user may include at least one of the following: a time when the user uses the heart rate measurement device, a duration of use, an exercise intensity during use, and the like, which are not limited by the embodiment of the present invention. .
  • the usage habit data stored by the heart rate measuring device may be updated periodically or triggeringly, for example, the user uses the heart rate measuring device at a new time, or the user has a new exercise habit when using the heart rate measuring device, etc.
  • the embodiment of the present invention does not limit this.
  • the heart rate measuring device may pre-store a correspondence between the exercise intensity and the heart rate value, or obtain a correspondence between the exercise intensity and the heart rate value in a certain manner.
  • the correspondence may be obtained by the heart rate measuring device according to the detected historical data of the user.
  • the heart rate measuring device may calculate the exercise intensity and the heart rate of the user at a certain moment according to the data detected by the multiple sensors. Value, and using the exercise intensity and heart rate values at multiple moments to determine the correspondence between the exercise intensity and the heart rate value, for example, a function fit can be performed on the exercise intensity and the heart rate value at a plurality of times obtained after the motion is stabilized, A fitting function is obtained, but the embodiment of the invention does not limit this.
  • the heart rate value of the user under certain exercise intensity may be difficult to collect.
  • the heart rate values corresponding to these exercise intensities can be set in advance. In this way, even if the user starts the heart rate measuring device for the first time, a reasonable heart rate value can be obtained.
  • these preset heart rate values can be set in conjunction with the user's vital sign data, with reference to the heart rate values of most people with the same vital sign data. That is, the heart rate value of the user under the exercise intensity can be obtained by processing the heart rate value of the at least one other user at a certain exercise intensity, wherein each of the at least one other user and the other The user's vital sign data is the same or similar.
  • the vital sign data herein may include one or more of the following: age, gender, height, weight, etc., The embodiment of the invention does not limit this.
  • the heart rate measuring device may always measure the user's heart rate value by using the above process, or, in order to improve the accuracy of the measurement, the heart rate measuring device may also measure the user's heart rate value in the above manner only under certain conditions. Other ways to measure the user's heart rate value under other conditions.
  • the heart rate measuring device can measure the user's heart rate value in the manner described above just after activation, for example, measuring the heart rate value of the user at the first moment (just upon startup) in the manner described above. When the running time reaches a certain preset threshold, the user's heart rate value is measured in other ways.
  • the method for measuring the heart rate provided by the embodiment of the present invention can predict the current heart rate value of the user and output it to the user according to different motion states currently being used by the user in a short time (for example, within 2 seconds), thereby shortening the heart rate. Measure the user waiting time when the device is turned on to improve the user experience.
  • the heart rate measuring device may use the acceleration sensor to collect acceleration data, and determine the exercise intensity of the user according to the acceleration data.
  • the heart rate measuring device can also acquire a PPG signal (a second PPG signal) and utilize the PPG signal (or can combine the exercise intensity of the user) to determine a user's heart rate value.
  • the heart rate measuring device can use the PPG signal as a main consideration for determining the heart rate value of the user, and optionally, based on the exercise intensity of the user, obtain the heart rate value of the user, but the embodiment of the present invention does not Make a limit.
  • the heart rate measuring device may further update the correspondence between the exercise intensity and the heart rate value by using the exercise intensity and the heart rate value obtained at one or more moments to improve the prediction accuracy of the heart rate measurement device, but the present invention The embodiment does not limit this.
  • the exercise intensity may be expressed in the form of the exercise intensity level.
  • the exercise intensity level 0 may indicate that the motion is static, and the greater the exercise intensity level indicates that the exercise is more severe, but the specific implementation of the present invention is not limited.
  • the division of the exercise intensity level may depend on one or more factors such as the detection accuracy of the heart rate measurement device and the actual application requirements. For example, it may be divided according to the magnitude of the PPG signal and the output value of the gravitational acceleration sensor. How many motion intensity levels need to be divided may be considered in combination with the actual application requirements and the PPG signal and the gravity acceleration sensor output accuracy. There is no limit to this.
  • the heart rate measuring device may store a mapping table including a correspondence between the exercise intensity level and the heart rate value, as shown in Table 1, the mapping table includes N entries, each of which may include an exercise intensity level and a corresponding heart rate thereof. a value, the heart rate measuring device may query the mapping table by using the currently obtained exercise intensity level, determine an entry that matches the exercise intensity level, and select the matching entry
  • the heart rate value is determined as the current heart rate value of the user, but the embodiment of the present invention is not limited thereto.
  • Table 1 exercise intensity level - heart rate value mapping table
  • the heart rate value at a certain exercise intensity level in Table 1 may be obtained according to the historical data of the user detected by the heart rate measuring device, or may be determined by reference to the heart rate value of the majority of the people having the same vital sign data at the exercise intensity level. It can also be obtained by other means.
  • FIG. 2 illustrates a method 200 for measuring a heart rate by a heart rate measuring device according to an embodiment of the present invention, wherein the just starting may mean that the continuous running time of the heart rate measuring device is below a certain preset threshold.
  • the heart rate measuring device collects PPG and gravitational acceleration sensor data for a short time, for example, collecting for 2 seconds or less.
  • the heart rate measuring device calculates the user's exercise intensity level by using the collected data.
  • the heart rate measuring device determines whether the exercise intensity level is valid.
  • the exercise intensity level exceeds a preset range, or whether the noise of the PPG signal and/or the gravitational acceleration sensor data exceeds a preset range, and the like. If it is determined that the exercise intensity level is valid, S250 may be directly performed, otherwise, S240 is performed.
  • the heart rate measuring device may not perform S230. At this time, the heart rate measuring device may determine whether the noise of the collected PPG signal and/or the gravitational acceleration sensor data is valid, such as whether the noise exceeds a preset range, and execute S220 if it is determined that the collected sensing data is valid, Otherwise, S240 is executed.
  • the heart rate measuring device determines the user's exercise intensity level by using an auxiliary method.
  • the heart rate measuring device may determine the user's exercise intensity level in combination with the user's usage habits of the heart rate measuring device, or the heart rate measuring device may directly determine the user's predicted heart rate value according to the user's usage habits of the heart rate measuring device.
  • the specific implementation of the auxiliary method is not limited in the embodiment of the present invention.
  • the heart rate measuring device searches for the pre-stored exercise intensity level-heart rate value mapping table by using the exercise intensity level obtained by S230 or S240, and uses the found heart rate value as the current predicted heart rate value of the user.
  • the motion intensity-heart rate value mapping table may be the mapping table shown in Table 1, but the embodiment of the present invention does not limit this.
  • the heart rate measuring device outputs the predicted heart rate value.
  • the heart rate measuring device can not accurately output the user's heart rate value within 5 seconds to 10 seconds of the start of the heart rate measurement, and the method for measuring the heart rate provided by the embodiment of the present invention can output the heart rate measuring device within 2 seconds.
  • the user's heart rate value can greatly shorten the waiting time of the heart rate measuring device to output an accurate heart rate value, thereby improving the user experience.
  • FIG. 3 illustrates a method 300 for updating the correspondence between exercise intensity and heart rate values after the heart rate measurement device provided by the embodiment of the present invention is stable.
  • the heart rate measuring device collects PPG and acceleration sensor data.
  • the heart rate measuring device calculates the exercise intensity level according to the collected data.
  • the motion intensity level of the user may be obtained by processing the acceleration sensor data collected in S310.
  • the PPG signal can be utilized to determine at least one parameter, and the acceleration sensor data is processed using the at least one parameter to obtain an exercise intensity level of the user.
  • the heart rate measuring device calculates the heart rate value of the user according to the collected data and the exercise intensity level obtained in S320.
  • the heart rate measuring device no longer determines the heart rate value by using the correspondence between the exercise intensity and the heart rate value.
  • the heart rate measuring device can calculate the user's heart rate value in combination with the collected data and the exercise intensity level.
  • the heart rate value of the user may be determined in a conventional manner.
  • the user's heart rate value can be obtained by processing the PPG signal.
  • the acceleration sensor data can be used to construct a filter, and the filter is used to input the PPG signal.
  • the line filtering process is performed to obtain the heart rate value of the user, but the embodiment of the present invention is not limited thereto.
  • the heart rate measuring device determines whether to update the exercise intensity level-heart rate value mapping table.
  • the heart rate measuring device may update the exercise intensity level-heart rate value mapping table periodically or in a triggering manner. If the heart rate value obtained in S330 is different from the heart rate value in the exercise intensity level-heart rate value mapping table obtained in S320, the update may be directly determined to be performed, or stored and the heart rate is measured multiple times in succession. The value is determined to be updated, or the update may be performed according to the difference between the heart rate value obtained in S330 and the heart rate value in the mapping table.
  • S350 Update the heart rate value corresponding to the exercise intensity level obtained in S320 in the exercise intensity level-heart rate value map by using the heart rate value obtained in S330.
  • the heart rate value in the mapping table may be directly replaced with the heart rate value obtained in S330, or may be replaced with a value obtained by processing the heart rate value obtained in S330, for example, may be passed in S330.
  • the obtained heart rate value and the value obtained by processing the heart rate value in the mapping table are values obtained by processing the heart rate value obtained in S330 and the previously measured one or more heart rate values, but the embodiment of the present invention is This is not limited.
  • the heart rate value corresponding to the exercise intensity level in the mapping table may be updated according to the real-time collected data periodically or irregularly, so that the mapping table can accurately reflect the user's reality as accurately as possible.
  • the heart rate value thereby improving the measurement accuracy of the heart rate measuring device.
  • FIG. 2 and FIG. 3 are intended to help those skilled in the art to better understand the embodiments of the present invention and not to limit the scope of the embodiments of the present invention. It will be obvious to those skilled in the art that the above-described examples of FIG. 2 and FIG. 3 can be variously modified or changed, and such modifications or variations are also within the scope of the embodiments of the present invention.
  • FIGS. 1 through 3 A method of measuring a heart rate according to an embodiment of the present invention is described in detail above with reference to FIGS. 1 through 3.
  • a device for measuring a heart rate according to an embodiment of the present invention will be described in detail with reference to FIGS. 4 to 5.
  • FIG. 4 shows an apparatus 400 for measuring heart rate provided by an embodiment of the present invention.
  • the device for measuring heart rate The setting 400 can include a data acquisition module 410 and a heart rate prediction module 420. among them,
  • the data acquisition module 410 can be configured to acquire sensing data, where the sensing data includes at least one of the following data: a first PPG signal and a first acceleration.
  • the heart rate prediction module 420 is configured to determine, according to the sensing data acquired by the data acquiring module 410, the motion intensity of the user at the first moment, and the motion strength according to the user at the first moment and the correspondence between the motion intensity and the heart rate value. Relationship, determining the heart rate value of the user at the first moment.
  • the data obtaining module 410 is specifically configured to collect the sensing data during a period of time with a preset duration when the device 400 is started.
  • the preset duration may be less than 5 s or much less than 5 s.
  • the preset duration is less than or equal to 2 seconds.
  • the heart rate prediction module 420 is specifically configured to determine, according to usage habit data of the device 400, the exercise intensity of the user at the first moment if the noise of the sensing data is higher than a preset range.
  • the apparatus 400 may further include one or more of the following modules: an output module 430, a storage module 440, and a heart rate learning module 450. among them,
  • the output module 430 can be configured to output a heart rate value of the first moment determined by the heart rate prediction module 420.
  • the output may be performed by using a display screen or a voice. The embodiment of the present invention does not limit this.
  • the storage module 440 may be configured to store a mapping table, where the entry of the mapping table includes an exercise intensity and a heart rate value corresponding to the exercise intensity; correspondingly, the heart rate prediction module 420 may be specifically configured to: utilize the user at the first moment
  • the exercise intensity queries the mapping table stored by the storage module 440 to determine an entry that matches the exercise intensity of the first moment, and determines the heart rate value in the matched entry as the heart rate of the user at the first moment. value.
  • the mapping table may be specifically the exercise intensity level-heart rate value mapping table shown in Table 1 in the above embodiment.
  • the mapping table may include a first entry, where the heart rate value in the first entry is processed by processing a heart rate value collected by the motion intensity of the at least one other user in the first entry. Wherein each of the at least one other user is the same or similar to the user's vital sign data.
  • the heart rate prediction module 420 is further configured to: if the running time reaches a preset threshold, pass The second PPG signal acquired by the data acquisition module 410 is processed to obtain a heart rate value of the user at the second time, and the user is determined to move at the second time according to the second acceleration acquired by the data acquisition module 410. strength.
  • the user's heart rate value can be determined in a conventional manner, but the embodiment of the present invention is not limited thereto.
  • the second PPG signal and the second acceleration may be acquired. Using the second PPG signal and the second acceleration, calculating a heart rate value of the user at the second moment, and using the second PPG signal and the second acceleration, calculating the exercise intensity of the user at the second moment.
  • the heart rate value of the user at the second moment can be obtained by processing the second PPG signal.
  • the filter may be constructed by using the second acceleration, and the second PPG signal may be filtered by the filter to obtain a heart rate value of the user at the second moment, which may also be referred to as a second heart rate value.
  • the motion intensity of the user at the second moment may be obtained by processing the second acceleration, which may also be referred to as a second motion intensity.
  • the second PPG signal can be used to determine at least one parameter, and the second acceleration is processed by using the at least one parameter to obtain the exercise intensity of the user at the second moment.
  • the heart rate learning module 450 can be configured to perform an update process on the mapping table stored by the storage module 440 according to the second exercise intensity and the second heart rate value obtained by the heart rate prediction module 420.
  • module may refer to an application specific integrated circuit (ASIC), an electronic circuit, a processor for executing one or more software or firmware programs (for example, shared processing). , dedicated processor or group processor, etc.) and memory, merge logic, and/or other suitable components that support the described functionality.
  • ASIC application specific integrated circuit
  • processor for executing one or more software or firmware programs (for example, shared processing). , dedicated processor or group processor, etc.) and memory, merge logic, and/or other suitable components that support the described functionality.
  • the device 400 for measuring heart rate is merely exemplary.
  • the device 400 for measuring heart rate may also not include one or more of the above modules, for example, the device 400 for measuring heart rate.
  • the heart rate learning module 430 may not be included in the embodiment of the present invention.
  • the apparatus 400 herein is embodied in the form of a functional unit.
  • the device 400 may be specifically the heart rate measuring device in the above embodiment, and the device 400 may be used to perform various processes and/or steps in the foregoing method embodiments, in order to avoid duplication. , will not repeat them here.
  • FIG. 5 shows another apparatus 500 for measuring heart rate according to an embodiment of the present invention, including: Processor 510 and memory 520, wherein the memory 520 is for storing instructions for executing the memory stored instructions, wherein execution of the instructions stored in the memory 520 causes the processor 510 to perform the following operations :
  • the sensing data comprising at least one of the following data: a first PPG signal and a first acceleration;
  • the heart rate value of the user at the first moment is determined according to the exercise intensity of the user at the first moment and the correspondence between the exercise intensity and the heart rate value.
  • the apparatus 500 may further include: one or more sensors 530 for collecting sensing data.
  • the processor 510 may acquire the sensing data collected by the sensor 530.
  • the memory 520 is further configured to store data, such as a storage mapping table, wherein the entry of the mapping table includes an exercise intensity and a heart rate value corresponding to the exercise intensity.
  • the processor 510 may query the mapping table stored by the memory 520 by using the motion intensity of the user at the first moment to determine an entry that matches the motion intensity of the first moment, and The heart rate value in the matched entry is determined as the heart rate value of the user at the first moment.
  • the device 500 may be specifically the heart rate measuring device in the above embodiment, and the device 500 may be used to perform various processes and/or steps in the foregoing method embodiments, in order to avoid duplication. , will not repeat them here.
  • the processor may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, etc.
  • the general purpose processor may be a microprocessor or the processor or any conventional processor or the like.
  • the memory can include read only memory and random access memory and provides instructions and data to the processor.
  • a portion of the memory may also include a non-volatile random access memory.
  • the memory can also store information of the device type.
  • the processor can be used to execute instructions stored in the memory, and when the processor executes the instructions, the processor can perform the steps corresponding to the terminal device in the above method embodiments.
  • each step of the above method may be completed by an integrated logic circuit of hardware in a processor or an instruction in a form of software.
  • the steps of the method disclosed in connection with the embodiments of the present invention may be Directly implemented as a hardware processor execution, or a combination of hardware and software modules in the processor.
  • the software module can be located in a conventional storage medium such as random access memory, flash memory, read only memory, programmable read only memory or electrically erasable programmable memory, registers, and the like.
  • the storage medium is located in a memory, and the processor executes instructions in the memory, in combination with hardware to perform the steps of the above method. To avoid repetition, it will not be described in detail here.
  • system and “network” are used interchangeably herein.
  • the term “and/or” in this context is merely an association describing the associated object, indicating that there may be three relationships, for example, A and / or B, which may indicate that A exists separately, and both A and B exist, respectively. B these three situations.
  • the character "/" in this article generally indicates that the contextual object is an "or" relationship.
  • the disclosed systems, devices, and methods may be implemented in other manners.
  • the device embodiments described above are merely illustrative.
  • the division of the unit is only a logical function division.
  • there may be another division manner for example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored or not executed.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be in an electrical, mechanical or other form.
  • the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
  • each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
  • the computer program product includes one or more computer instructions.
  • the computer can be a general purpose computer, a special purpose computer, a computer network, or other programmable device.
  • the computer instructions can be stored in a computer readable storage medium or transferred from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions can be from a website site, computer, server or data center Transfer to another website site, computer, server, or data center by wire (eg, coaxial cable, fiber optic, digital subscriber line (DSL), or wireless (eg, infrared, wireless, microwave, etc.).
  • the computer readable storage medium can be any available media that can be accessed by a computer or a data storage device such as a server, data center, or the like that includes one or more available media.
  • the usable medium may be a magnetic medium (eg, a floppy disk, a hard disk, a magnetic tape), an optical medium (eg, a DVD), or a semiconductor medium (such as a solid state disk (SSD)).

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Cardiology (AREA)
  • Biomedical Technology (AREA)
  • Medical Informatics (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Engineering & Computer Science (AREA)
  • Physiology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Physics & Mathematics (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)

Abstract

一种测量心率的方法（100）和装置（400、500），有利于缩短心率测量设备（400、500）输出准确心率值的等待时间。测量心率的方法包括：心率测量设备（400、500）获取感应数据，感应数据包括下列数据中的至少一种：第一PPG信号和第一加速度；心率测量设备（400、500）根据第一PPG信号和第一加速度中的至少一种，确定用户在第一时刻的运动强度（S110）；心率测量设备（400、500）根据用户在第一时刻的运动强度以及运动强度与心率值之间的对应关系，确定用户在第一时刻的心率值（S120）。

Description

测量心率的方法和装置 技术领域
本申请涉及智能终端领域，并且更具体地，涉及测量心率的方法和装置。
背景技术
目前的穿戴式心率测量设备在每次的启动阶段，都需要先采集一定时间段的数据之后，才能准确计算出心率值。开机采集数据并完成计算的总时间依据实现算法的不同，一般要持续5秒至10秒钟。在这段时间内，心率测量设备要么无法输出任何心率值，要么简单输出一个预先设定的特殊值(比如0或100等)。这两种方法都不能在设备刚启动时快速地输出用户当前的心率值，从而影响了用户体验。
发明内容
本申请提供一种测量心率的方法和装置，有利于缩短心率测量设备输出准确心率值的等待时间。
第一方面，提供了一种测量心率的方法，包括：获取感应数据，该感应数据包括下列数据中的至少一种：第一PPG信号和第一加速度；根据该第一PPG信号和该第一加速度中的至少一种，确定用户在第一时刻的运动强度；根据该用户在第一时刻的运动强度以及运动强度与心率值之间的对应关系，确定该用户在第一时刻的心率值。
可选地，该第一时刻可以具体为当前时刻。
可选地，用户在第一时刻的运动强度可以称为第一运动强度，用于在第一时刻的心率值可以称为第一心率值。
可选地，心率测量设备可以根据获取到的感应数据，确定用户的运动强度。
可选地，心率测量设备根据用户当前的运动强度和运动强度与心率值之间的对应关系，确定用户当前的心率值。
这样，本发明实施例提供的测量心率的方法能够在较短时间，根据用户当前所处的不同运动状态，预测出用户当前的心率值并输出给用户，有利于缩短心率测量设备刚开机时的用户等待时间，从而提升用户体验。
可选地，该心率测量设备获取感应数据，包括：该心率测量设备在启动时，在具有预设时长的时间段内采集该感应数据。
可选地，该预设时长可以小于5秒钟。
作为一个例子，该预设时长小于或等于2秒钟。
可选地，该根据该感应数据，确定用户在第一时刻的运动强度，可以包括：若该感应数据的噪声高于预设范围，根据该用户对该心率测量设备的使用习惯数据，确定该用户在第一时刻的运动强度。
该使用习惯数据可以是心率测量设备通过对用户使用该心率测量设备时的信息进行记录和学习得到的。
可选地，心率测量设备可以存储有映射表，该映射表的表项包括运动强度以及与该运动强度对应的心率值。
此时，可选地，根据该用户在第一时刻的运动强度以及运动强度与心率值之间的对应关系，确定该用户在第一时刻的心率值，包括：利用该用户在第一时刻的运动强度查询映射表，以确定与该第一时刻的运动强度匹配的表项；将该匹配的表项中的心率值确定为该用户在第一时刻的心率值。
可选地，该映射表可以包括第一表项，该第一表项中的心率值是通过对至少一个其他用户在该第一表项中的运动强度下采集到的心率值进行处理得到的，其中，该至少一个其他用户中的每个其他用户与该用户的体征数据相同或相近。
可选地，该第一表项中的心率值的初始值可以是通过对至少一个其他用户在该第一表项中的运动强度下采集到的心率值进行处理得到的。
可选地，该方法还包括：若运行时间达到预设阈值，利用获取到的第二PPG信号和第二加速度，计算用户在第二时刻的运动强度，并利用该第二PPG信号和该第二加速度，计算用户在第二时刻的心率值；根据该第二时刻的运动强度和该第二时刻的心率值，对该映射表进行更新处理。
具体地，心率测量设备可以通过对获取到的第二PPG信号进行处理，得到该用户在第二时刻的心率值。例如，可以利用第二加速度构造滤波器，并采用该滤波器对该第二PPG信号进行滤波处理。
此外，该心率测量设备可以通过对获取到的第二加速度进行处理，得到该用户在第二时刻的运动强度。例如，可以利用第二PPG信号，确定第一参数，并根据第一参数，对该第二加速度进行处理，得到该用户在第二时刻 的运动强度。
可选地，用户在第二时刻的运动强度可以称为第二运动强度，用户在第二时刻的心率值可以称为第二心率值。
当该心率测量设备运行稳定之后，可以采集加速度数据和PPG信号，根据采集到的加速度数据，确定用户当前的运动强度，并利用该PPG信号和加速度数据，确定用户当前的心率值。
如果用户当前的运动强度和心率值满足一定条件，则可以利用用户当前的运动强度和心率值更新运动强度与心率值之间的对应关系。
第二方面，提供了一种测量心率的装置，用于执行上述第一方面或第一方面的任意可能的实现方式中的方法。
具体地，该装置包括用于执行上述第一方面或第一方面的任意可能的实现方式中的方法的单元。
第三方面，提供了另一种测量心率的装置，包括：存储器和处理器，该存储器用于存储指令，该处理器用于执行该存储器存储的指令，并且当该处理器执行该存储器存储的指令时，该执行使得该处理器执行第一方面或第一方面的任意可能的实现方式中的方法。
第四方面，提供了一种可穿戴设备，包括：存储器和处理器，该存储器用于存储指令，该处理器用于执行该存储器存储的指令，并且当该处理器执行该存储器存储的指令时，该执行使得该处理器执行第一方面或第一方面的任意可能的实现方式中的方法。
第五方面，提供了一种计算机可读介质，用于存储计算机程序，该计算机程序包括用于执行第一方面或第一方面的任意可能的实现方式中的方法的指令。
第六方面，提供了一种包含指令的计算机程序产品，当其在计算机上运行时，使得计算机执行上述第一方面或第一方面中的任一可能的实现方式中的方法。
在本申请的某些方面，运动强度可以具体指运动强度等级。
本申请的某些方面中的设备可以是穿戴式设备，例如电子手环、电子耳机、电子手表。
附图说明
图1是本发明实施例提供的测量心率的方法的示意性流程图。
图2是本发明实施例提供的另一测量心率的方法的示意性流程图。
图3是本发明实施例提供的更新运动强度等级-心率值映射表的示意性流程图。
图4是本发明实施例提供的测量心率的装置的示意性框图。
图5是本发明实施例提供的测量心率的装置的另一示意性框图。
具体实施方式
下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行描述。
图1示意性地示出了本发明实施例提供的测量心率的方法100。该方法100可以由心率测量设备执行，其中，该心率测量设备可以是手机、平板电脑、便携式电脑、个人数字助理(Personal Digital Assistant，PDA)、电子运动器械等等。作为一个可选实施例，该心率测量设备可以是穿戴式设备，例如电子手环、电子耳机、电子手表，等等，本发明实施例对此不做限定。
S110，确定用户的运动强度。
心率测量设备确定的该运动强度可以以各种方式体现，例如可以以相对数值的方式体现，也可以以运动强度等级的方式体现，本发明实施例对此不做限定。
可选地，心率测量设备获取感应数据，并根据获取到的该感应数据，确定用户的运动强度。
可选地，心率测量设备包括一个或多个传感器，并利用传感器采集感应数据。其中，为了得到一个心率值，传感器的采集时间可以小于5s或者远小于5s，例如可以采集2s，但本发明实施例对此不做限定。作为一个可选实施例，该感应数据包括下列数据中的至少一种：第一光电容积脉搏波描记(Photo PlethysmoGraphy，PPG)信号和第一加速度。其中，PPG信号和第一加速度共同用于计算用户的运动强度，或者也可以利用其中的一项来计算。可选地，该感应数据也可以包括其他类型的数据，本发明实施例对此不做限定。
可选地，在某些情况下，例如用户运动过于剧烈或周边干扰过大，使得心率测量设备获取到的感应数据噪声太大，例如噪声水平超过预设范围，此 时，利用感应数据无法准确计算出用户当前的运动强度。可选地，可以通过引进一些辅助方法改善这种状况。例如，心率测量设备可以记录并学习用户对心率测量设备的使用习惯，并且存储学习得到的使用习惯数据。也就是说，该心率测量设备可以根据用户对该心率测量设备的历史使用记录，得到用户对该心率测量设备的使用习惯数据。可选地，在获取到的感应数据噪声太大时，可以根据存储的用户对该心率测量设备的使用习惯数据，确定用户当前的运动强度。可选地，该用户的使用习惯数据可以包括下列中的至少一种：用户使用心率测量设备的时间、使用的持续时间、使用时的运动强度，等等，本发明实施例对此不做限定。
可选地，该心率测量设备存储的使用习惯数据可以周期性或触发性地更新，例如，用户在新的时间使用心率测量设备，或者用户在使用心率测量设备时出现了新的运动习惯，等等，本发明实施例对此不做限定。
S120，根据该用户的运动强度以及运动强度与心率值之间的对应关系，确定该用户的心率值。
可选地，该心率测量设备可以预先存储有运动强度与心率值之间的对应关系，或者以某种方式获取该运动强度与心率值之间的对应关系。其中，该对应关系可以是该心率测量设备根据检测到的该用户的历史数据得到的，例如，心率测量设备可以根据多个传感器检测到的数据，分别计算用户在某一时刻的运动强度和心率值，并利用多个时刻的运动强度和心率值，确定运动强度与心率值之间的对应关系，例如，可以对在运动稳定之后得到的多个时刻的运动强度和心率值进行函数拟合，得到拟合函数，但本发明实施例对此不做限定。
由于用户每次使用心率测量设备的时间长度和运动强度都具有很大的随机性，因而用户在某些运动强度下的心率值可能很难收集到。此时，可以预先设置这些运动强度对应的心率值。这样，即使用户第一次启动心率测量设备，也能得到一个比较合理的心率值。作为一个例子，这些预设的心率值可以结合该用户的体征数据，参考大部分具有相同体征数据的人群的心率值来设定。也就是说，可以通过对至少一个其他用户在某个运动强度下的心率值进行处理，得到该用户在该运动强度下的心率值，其中，该至少一个其他用户中的每个其他用户与该用户的体征数据相同或相近。可选地，这里的体征数据可以包括下列中的一种或多种：年龄、性别、身高、体重，等等，本 发明实施例对此不做限定。
可选地，该心率测量设备可以总是采用上述流程测量用户的心率值，或者，为了提高测量的准确度，该心率测量设备也可以仅在某些条件下采用上述方式测量用户的心率值，而在其他条件下采用其他方式测量用户的心率值。作为一个例子，心率测量设备可以在刚刚启动时，采用上述方式测量用户的心率值，例如，采用上述方式测量用户在第一时刻(刚刚启动时)的心率值。在运行时间达到某一预设阈值时，采用其他方式测量用户的心率值。这样，本发明实施例提供的测量心率的方法能够在较短时间(例如2秒内)，根据用户当前所处的不同运动状态，预测出用户当前的心率值并输出给用户，从而能够缩短心率测量设备刚开机时的用户等待时间，提升用户体验。
作为一个例子，在心率测量设备的运行时间达到某一预设阈值时(在第二时刻)，该心率测量设备可以利用加速度传感器采集加速度数据，根据该加速度数据，确定用户的运动强度。该心率测量设备还可以采集PPG信号(第二PPG信号)，并且利用该PPG信号(或者可以结合该用户的运动强度)，确定用户的心率值。此时，该心率测量设备可以以PPG信号作为确定用户的心率值的主要考虑因素，并可选地在此基础上结合用户的运动强度，得到用户的心率值，但本发明实施例对此不做限定。
可选地，该心率测量设备还可以利用一个或多个时刻得到的运动强度和心率值，更新该运动强度与心率值之间的对应关系，以提高心率测量设备的预测准确度，但本发明实施例对此不做限定。
作为一个例子，运动强度可以以运动强度等级的方式体现，例如，运动强度等级0可以表示静止，并且运动强度等级越大表示运动越剧烈，但本发明实施例对具体实现不做限定。可选地，运动强度等级的划分可以依赖于心率测量设备的检测精度以及实际应用需求等一种或多种因素。例如，可以依据PPG信号的幅度大小和重力加速度传感器输出值的大小进行划分，需要划分多少个运动强度等级可以结合实际应用的需要和PPG信号及重力加速度传感器输出精度进行综合考虑，本发明实施例对此不做限定。
心率测量设备可以存储包含运动强度等级与心率值之间的对应关系的映射表，例如表1所示，该映射表包括N个表项，每个表项可以包括运动强度等级及其对应的心率值，该心率测量设备可以利用当前得到的运动强度等级查询该映射表，确定与该运动强度等级匹配的表项，并将该匹配的表项中 的心率值确定为用户当前的心率值，但本发明实施例不限于此。
表1  运动强度等级-心率值映射表
运动强度等级 心率值
0 v0
1 v1
2 v2
… …
N vN
表1中某个运动强度等级下的心率值可以是根据心率测量设备检测到的用户的历史数据得到的，也可以是参考大部分具有相同体征数据的人群在该运动强度等级下的心率值确定的，也可以是通过其他方式得到的。
下面结合图2和图3所示的例子，详细描述心率测量设备在不同条件下测量心率的方法。
图2示出了本发明实施例提供的心率测量设备在刚启动时测量心率的方法200，其中，这里的刚启动可以指该心率测量设备的连续运行时间低于某个预设阈值。
S210，心率测量设备采集较短时间的PPG和重力加速度传感器数据，例如采集2秒钟或更短的时间。
S220，心率测量设备利用采集到的数据，计算用户的运动强度等级。
S230，心率测量设备确定该运动强度等级是否有效。
例如确定该运动强度等级是否超过预设范围，或者该PPG信号和/或重力加速度传感器数据的噪声是否超过预设范围，等等。如果确定该运动强度等级有效，则可以直接执行S250，否则，执行S240。
可选地，该心率测量设备也可以不执行S230。此时，该心率测量设备可以确定采集到的PPG信号和/或重力加速度传感器数据的噪声是否有效，例如噪声是否超过预设范围，并且在确定采集到的感应数据有效的情况下才执行S220，否则，执行S240。
S240，心率测量设备利用辅助方法，确定用户的运动强度等级。
可选地，心率测量设备可以结合用户对心率测量设备的使用习惯，确定用户的运动强度等级，或者，该心率测量设备也可以结合用户对心率测量设备的使用习惯，直接确定用户的预测心率值，但本发明实施例对该辅助方法的具体实现不做限定。
S250，心率测量设备利用S230或S240得到的运动强度等级查找预先存储的运动强度等级-心率值映射表，并将查找得到的心率值作为用户当前的预测心率值。
可选地，该运动强度-心率值映射表可以为表1所示的映射表，但本发明实施例对此不做限定。
S260，心率测量设备输出该预测心率值。
现有的心率测量设备在刚启动的5秒至10秒内都无法准确输出用户心率值，而本发明实施例提供的测量心率的方法，在心率测量设备启动2秒内就能较为准确地输出用户心率值，可以大幅缩短心率测量设备输出准确心率值的等待时间，从而改善用户体验。
图3示出了本发明实施例提供的心率测量设备在运行稳定之后更新运动强度和心率值之间的对应关系的方法300。
S310，心率测量设备采集PPG和加速度传感器数据。
S320，心率测量设备根据采集到的数据，计算运动强度等级。
可选地，可以通过对S310中采集到的加速度传感器数据进行处理，得到用户的运动强度等级。例如，可以利用该PPG信号，确定至少一个参数，并利用该至少一个参数，对该加速度传感器数据进行处理，得到该用户的运动强度等级。
S330，心率测量设备根据采集到的数据，结合S320中得到的运动强度等级，计算用户的心率值。
此时，该心率测量设备不再利用运动强度和心率值之间的对应关系确定心率值。该心率测量设备可以结合采集数据和运动强度等级，计算用户的心率值。
可选地，在S330中，可以利用传统方式确定用户的心率值。
可选地，可以通过对该PPG信号进行处理，得到用户的心率值。例如，可以利用加速度传感器数据构造滤波器，并采用该滤波器对该PPG信号进 行滤波处理，得到该用户的心率值，但本发明实施例不限于此。
S340，心率测量设备确定是否更新运动强度等级-心率值映射表。
可选地，心率测量设备可以周期性地或者触发性地更新运动强度等级-心率值映射表。如果S330中得到的心率值不同于S320中得到的运动强度等级在运动强度等级-心率值映射表中对应的心率值，则可以直接确定进行更新，或者进行存储并且在连续多次测量到该心率值时才确定进行更新，或者也可以根据S330中得到的该心率值与映射表中的心率值之间的差异，确定是否进行更新，本发明实施例对此不做限定。
可选地，如果确定进行更新，则执行S350。否则，直接输出S330中得到的心率值。
S350，利用S330中得到的心率值，更新S320中得到的运动强度等级在运动强度等级-心率值映射表中对应的心率值。
可选地，可以直接将映射表中的心率值替换为S330中得到的心率值，或者也可以替换为通过对S330中得到的心率值进行处理之后得到的数值，例如，可以为通过对S330中得到的心率值和映射表中的心率值进行处理得到的数值，或者为通过对S330中得到的心率值以及之前测量得到的一次或多次心率值进行处理得到的数值，但本发明实施例对此不做限定。
这样，在运动强度等级-心率值映射表建立后，可以定时或不定时地根据实时采集数据对映射表中运动强度等级对应的心率值进行更新，使得映射表能够尽可能准确地反映用户的真实心率值，从而提高心率测量设备的测量准确度。
应理解，图2和图3所示的例子是为了帮助本领域技术人员更好地理解本发明实施例，而非要限制本发明实施例的范围。本领域技术人员根据图2和图3所给出的上述示例，显然可以进行各种等价的修改或变化，这样的修改或变化也落入本发明实施例的范围内。
还应理解，上述各过程的序号的大小并不意味着执行顺序的先后，各过程的执行顺序应以其功能和内在逻辑确定，而不应对本发明实施例的实施过程构成任何限定。
上文中结合图1至图3，详细描述了根据本发明实施例的测量心率的方法，下面将结合图4至图5，详细描述根据本发明实施例的测量心率的装置。
图4示出了本发明实施例提供的测量心率的装置400。该测量心率的装 置400可以包括：数据获取模块410和心率预测模块420。其中，
数据获取模块410可以用于获取感应数据，该感应数据包括下列数据中的至少一种：第一PPG信号和第一加速度。
心率预测模块420可以用于根据该数据获取模块410获取的该感应数据，确定用户在第一时刻的运动强度，以及根据该用户在第一时刻的运动强度以及运动强度与心率值之间的对应关系，确定该用户在第一时刻的心率值。
可选地，该数据获取模块410具体用于在该装置400启动时，在具有预设时长的时间段内采集该感应数据。
可选地，该预设时长可以小于5s或远小于5s。作为一个例子，该预设时长小于或等于2秒钟。
可选地，该心率预测模块420具体用于：若该感应数据的噪声高于预设范围，根据该用户对该装置400的使用习惯数据，确定该用户在第一时刻的运动强度。
可选地，如图4所示，该装置400还可以包括下列模块中的一种或多种：输出模块430、存储模块440和心率学习模块450。其中，
该输出模块430可以用于输出该心率预测模块420确定的第一时刻的心率值。具体可以通过显示屏或者语音的方式进行输出，本发明实施例对此不做限定。
该存储模块440可以用于存储映射表，该映射表的表项包括运动强度以及与该运动强度对应的心率值；相应地，该心率预测模块420可以具体用于：利用该用户在第一时刻的运动强度查询该存储模块440存储的该映射表，以确定与该第一时刻的运动强度匹配的表项，并将该匹配的表项中的心率值确定为该用户在第一时刻的心率值。
作为一个例子，该映射表可以具体为上述实施例中的表1所示的运动强度等级-心率值映射表。
可选地，该映射表可以包括第一表项，该第一表项中的心率值是通过对至少一个其他用户在该第一表项中的运动强度下采集到的心率值进行处理得到的，其中，该至少一个其他用户中的每个其他用户与该用户的体征数据相同或相近。
可选地，该心率预测模块420还用于：若运行时间达到预设阈值，通过 对该数据获取模块410获取到的第二PPG信号进行处理，得到该用户在第二时刻的心率值，并且根据该数据获取模块410获取到的第二加速度，确定该用户在第二时刻的运动强度。
如果该装置运行稳定和/或运行时间达到预设阈值，则可以利用传统方式确定用户的心率值，但本发明实施例不限于此。
可选地，可以获取第二PPG信号和第二加速度。利用该第二PPG信号和该第二加速度，计算该用户在第二时刻的心率值，并利用该第二PPG信号和该第二加速度，计算该用户在第二时刻的运动强度。
可选地，可以通过对该第二PPG信号进行处理，得到用户在该第二时刻的心率值。例如，可以利用第二加速度构造滤波器，并采用该滤波器对该第二PPG信号进行滤波处理，得到该用户在第二时刻的心率值，也可以称为第二心率值。
可选地，可以通过对该第二加速度进行处理，得到用户在第二时刻的运动强度，也可以称为第二运动强度。例如，可以利用该第二PPG信号，确定至少一个参数，并利用该至少一个参数，对该第二加速度进行处理，得到该用户在第二时刻的运动强度。
心率学习模块450可以用于根据该心率预测模块420得到的该第二运动强度和该第二心率值，对存储模块440存储的该映射表进行更新处理。
应理解，在本发明实施例中，术语“模块”可以指应用特有集成电路(Application Specific Integrated Circuit，ASIC)、电子电路、用于执行一个或多个软件或固件程序的处理器(例如共享处理器、专有处理器或组处理器等)和存储器、合并逻辑电路和/或其它支持所描述的功能的合适组件。
还应理解，上文对测量心率的装置400的描述仅是示例性地，在某些情况下，测量心率的装置400也可以不包括上述一个或多个模块，例如，该测量心率的装置400可以不包括心率学习模块430，本发明实施例对此不做限定。
还应理解，这里的装置400以功能单元的形式体现。在一个可选例子中，本领域技术人员可以理解，装置400可以具体为上述实施例中的心率测量设备，装置400可以用于执行上述方法实施例中的各个流程和/或步骤，为避免重复，在此不再赘述。
图5示出了本发明实施例提供的另一个测量心率的装置500，包括：处 理器510和存储器520，其中，该存储器520用于存储指令，该处理器510用于执行该存储器存储的指令，其中，对存储器520中存储的该指令的执行使得该处理器510执行以下操作：
获取感应数据，该感应数据包括下列数据中的至少一种：第一PPG信号和第一加速度；
根据该感应数据，确定用户在第一时刻的运动强度；以及
根据该用户在第一时刻的运动强度以及运动强度与心率值之间的对应关系，确定该用户在第一时刻的心率值。
可选地，如图5所示，该装置500还可以包括：一个或多个传感器530，用于采集感应数据，此时，该处理器510可以获取传感器530采集到的感应数据。
可选地，该存储器520还可以用于存储数据，例如存储映射表，其中，该映射表的表项包括运动强度以及与该运动强度对应的心率值。此时，可选地，该处理器510可以利用该用户在第一时刻的运动强度查询该存储器520存储的该映射表，以确定与该第一时刻的运动强度匹配的表项，并将该匹配的表项中的心率值确定为该用户在第一时刻的心率值。
在一个可选例子中，本领域技术人员可以理解，装置500可以具体为上述实施例中的心率测量设备，装置500可以用于执行上述方法实施例中的各个流程和/或步骤，为避免重复，在此不再赘述。
应理解，在本发明实施例中，处理器可以是中央处理单元(Central Processing Unit，CPU)，处理器还可以是其他通用处理器、数字信号处理器(DSP)、专用集成电路(ASIC)、现场可编程门阵列(FPGA)或者其他可编程逻辑器件、分立门或者晶体管逻辑器件、分立硬件组件等。通用处理器可以是微处理器或者该处理器也可以是任何常规的处理器等。
存储器可以包括只读存储器和随机存取存储器，并向处理器提供指令和数据。存储器的一部分还可以包括非易失性随机存取存储器。例如，存储器还可以存储设备类型的信息。该处理器可以用于执行存储器中存储的指令，并且该处理器执行该指令时，该处理器可以执行上述方法实施例中与终端设备对应的各个步骤。
在实现过程中，上述方法的各步骤可以通过处理器中的硬件的集成逻辑电路或者软件形式的指令完成。结合本发明实施例所公开的方法的步骤可以 直接体现为硬件处理器执行完成，或者用处理器中的硬件及软件模块组合执行完成。软件模块可以位于随机存储器，闪存、只读存储器，可编程只读存储器或者电可擦写可编程存储器、寄存器等本领域成熟的存储介质中。该存储介质位于存储器，处理器执行存储器中的指令，结合其硬件完成上述方法的步骤。为避免重复，这里不再详细描述。
还应理解，上文对本发明实施例的描述着重于强调各个实施例之间的不同之处，未提到的相同或相似之处可以互相参考，为了简洁，这里不再赘述。
此外，本文中术语“系统”和“网络”在本文中常被可互换使用。本文中术语“和/或”，仅仅是一种描述关联对象的关联关系，表示可以存在三种关系，例如，A和/或B，可以表示：单独存在A，同时存在A和B，单独存在B这三种情况。另外，本文中字符“/”，一般表示前后关联对象是一种“或”的关系。
本领域普通技术人员可以意识到，结合本文中所公开的实施例描述的各示例的单元及算法步骤，能够以电子硬件、或者计算机软件和电子硬件的结合来实现。这些功能究竟以硬件还是软件方式来执行，取决于技术方案的特定应用和设计约束条件。专业技术人员可以对每个特定的应用来使用不同方法来实现所描述的功能，但是这种实现不应认为超出本发明的范围。
所属领域的技术人员可以清楚地了解到，为描述的方便和简洁，上述描述的系统、装置和单元的具体工作过程，可以参考前述方法实施例中的对应过程，在此不再赘述。
在本申请所提供的几个实施例中，应该理解到，所揭露的系统、装置和方法，可以通过其它的方式实现。例如，以上所描述的装置实施例仅仅是示意性的，例如，所述单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，装置或单元的间接耦合或通信连接，可以是电性，机械或其它的形式。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外，在本发明各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。
在上述实施例中，可以全部或部分地通过软件、硬件、固件或者其任意组合来实现。当使用软件实现时，可以全部或部分地以计算机程序产品的形式实现。所述计算机程序产品包括一个或多个计算机指令。在计算机上加载和执行所述计算机程序指令时，全部或部分地产生按照本申请实施例所述的流程或功能。所述计算机可以是通用计算机、专用计算机、计算机网络、或者其他可编程装置。所述计算机指令可以存储在计算机可读存储介质中，或者从一个计算机可读存储介质向另一个计算机可读存储介质传输，例如，所述计算机指令可以从一个网站站点、计算机、服务器或数据中心通过有线(例如同轴电缆、光纤、数字用户线(DSL))或无线(例如红外、无线、微波等)方式向另一个网站站点、计算机、服务器或数据中心进行传输。所述计算机可读存储介质可以是计算机能够存取的任何可用介质或者是包含一个或多个可用介质集成的服务器、数据中心等数据存储设备。所述可用介质可以是磁性介质，(例如，软盘、硬盘、磁带)、光介质(例如，DVD)、或者半导体介质(例如固态硬盘Solid State Disk(SSD))等。
以上所述，仅为本申请的具体实施方式，但本申请的保护范围并不局限于此，任何熟悉本技术领域的技术人员在本申请揭露的技术范围内，可轻易想到变化或替换，都应涵盖在本申请的保护范围之内。因此，本申请的保护范围应所述以权利要求的保护范围为准。

Claims (15)

  1. 一种测量心率的方法，其特征在于，包括：
    获取感应数据，所述感应数据包括下列数据中的至少一种：第一光电容积脉搏波描记PPG信号和第一加速度；
    根据所述第一PPG信号和所述第一加速度中的至少一种，确定用户在第一时刻的运动强度；
    根据所述用户在第一时刻的运动强度以及运动强度与心率值之间的对应关系，确定所述用户在所述第一时刻的心率值。
  2. 根据权利要求1所述的方法，其特征在于，所述获取感应数据，包括：
    在启动时，在具有预设时长的时间段内采集所述感应数据。
  3. 根据权利要求2所述的方法，其特征在于，所述预设时长小于或等于2秒钟。
  4. 根据权利要求1至3中任一项所述的方法，其特征在于，所述根据所述感应数据，确定用户在第一时刻的运动强度，包括：
    若所述感应数据的噪声高于预设范围，根据用户的使用习惯数据，确定所述用户在第一时刻的运动强度。
  5. 根据权利要求1至4中任一项所述的方法，其特征在于，所述根据所述用户在第一时刻的运动强度以及运动强度与心率值之间的对应关系，确定所述用户在所述第一时刻的心率值，包括：
    利用所述用户在所述第一时刻的运动强度查询映射表，以确定与所述第一时刻的运动强度匹配的表项，其中，所述映射表的表项包括运动强度以及与所述运动强度对应的心率值；
    将所述匹配的表项中的心率值确定为所述用户在第一时刻的心率值。
  6. 根据权利要求5所述的方法，其特征在于，所述映射表包括第一表项，所述第一表项中的心率值是通过对至少一个其他用户在所述第一表项中的运动强度下采集到的心率值进行处理得到的，其中，所述至少一个其他用户中的每个其他用户与所述用户的体征数据相同或相近。
  7. 根据权利要求5或6所述的方法，其特征在于，所述方法还包括：
    若运行时间达到预设阈值，利用获取到的第二PPG信号和第二加速度，计算所述用户在第二时刻的心率值，并利用所述第二PPG信号和所述第二 加速度，计算所述用户在第二时刻的运动强度；
    根据所述第二时刻的运动强度和心率值，对所述映射表进行更新处理。
  8. 一种测量心率的装置，其特征在于，包括：
    数据获取模块，用于获取感应数据，所述感应数据包括下列数据中的至少一种：第一光电容积脉搏波描记PPG信号和第一加速度；
    心率预测模块，用于根据所述数据获取模块获取的所述第一PPG信号和所述第一加速度中的至少一种，确定用户在第一时刻的运动强度，以及根据所述用户在第一时刻的运动强度以及运动强度与心率值之间的对应关系，确定所述用户在第一时刻的心率值。
  9. 根据权利要求8所述的装置，其特征在于，所述数据获取模块具体用于在启动时，在具有预设时长的时间段内采集所述感应数据。
  10. 根据权利要求9所述的装置，其特征在于，所述预设时长小于或等于2秒钟。
  11. 根据权利要求8至10中任一项所述的装置，其特征在于，所述心率预测模块具体用于：若所述感应数据的噪声高于预设范围，根据用户的使用习惯数据，确定所述用户在第一时刻的运动强度。
  12. 根据权利要求8至11中任一项所述的装置，其特征在于，所述装置还包括：
    存储模块，用于存储映射表，所述映射表的表项包括运动强度以及与所述运动强度对应的心率值；
    所述心率预测模块具体用于：利用所述用户在第一时刻的运动强度查询所述存储模块存储的所述映射表，以确定与所述第一时刻的运动强度匹配的表项，并将所述匹配的表项中的心率值确定为所述用户在第一时刻的心率值。
  13. 根据权利要求12所述的装置，其特征在于，所述映射表包括第一表项，所述第一表项中的心率值是通过对至少一个其他用户在所述第一表项中的运动强度下采集到的心率值进行处理得到的，其中，所述至少一个其他用户中的每个其他用户与所述用户的体征数据相同或相近。
  14. 根据权利要求12或13所述的装置，其特征在于，所述心率预测模块还用于：若运行时间达到预设阈值，利用所述数据获取模块获取到的第二PPG信号和第二加速度，计算所述用户在第二时刻的心率值，并且利用所述 第二PPG信号和所述第二加速度，计算所述用户在第二时刻的运动强度；
    所述装置还包括：心率学习模块，用于根据所述心率预测模块得到的所述第二时刻的运动强度和心率值，对所述存储模块存储的所述映射表进行更新处理。
  15. 根据权利要求8至14中任一项所述的装置，其特征在于，所述装置具体为电子手环、电子手表或电子耳机。
PCT/CN2017/087666 2017-06-09 2017-06-09 测量心率的方法和装置 WO2018223359A1 (zh)

Priority Applications (2)

Application Number Priority Date Filing Date Title
PCT/CN2017/087666 WO2018223359A1 (zh) 2017-06-09 2017-06-09 测量心率的方法和装置
CN201780000479.0A CN110177497A (zh) 2017-06-09 2017-06-09 测量心率的方法和装置

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2017/087666 WO2018223359A1 (zh) 2017-06-09 2017-06-09 测量心率的方法和装置

Publications (1)

Publication Number Publication Date
WO2018223359A1 true WO2018223359A1 (zh) 2018-12-13

Family

ID=64565656

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2017/087666 WO2018223359A1 (zh) 2017-06-09 2017-06-09 测量心率的方法和装置

Country Status (2)

Country Link
CN (1) CN110177497A (zh)
WO (1) WO2018223359A1 (zh)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112089412A (zh) * 2020-04-17 2020-12-18 中国人民解放军第二军医大学 一种利用运动传感器配合心电监测进行算法除噪的方法

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112057067A (zh) * 2020-09-03 2020-12-11 青岛歌尔智能传感器有限公司 心率检测方法、可穿戴设备及可读存储介质

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6616613B1 (en) * 2000-04-27 2003-09-09 Vitalsines International, Inc. Physiological signal monitoring system
CN102526879A (zh) * 2012-02-16 2012-07-04 微创医疗器械(上海)有限公司 用于起搏频率自适应调节的装置和系统
CN103505193A (zh) * 2012-06-19 2014-01-15 北京超思电子技术股份有限公司 一种腕带式生理信息监测装置
CN105919584A (zh) * 2016-06-23 2016-09-07 电子科技大学 用于可穿戴心率监测设备的心率估计方法及装置
CN206026334U (zh) * 2016-05-03 2017-03-22 广东乐心医疗电子股份有限公司 一种运动量检测装置以及包括该装置的智能可穿戴设备

Family Cites Families (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201299554Y (zh) * 2008-07-30 2009-09-02 深圳先进技术研究院 一种运动和生理信息检测设备
EP2755551B1 (en) * 2011-09-16 2016-08-17 Koninklijke Philips N.V. Device and method for estimating the heart rate during motion
CN108742559B (zh) * 2013-06-03 2022-01-07 飞比特公司 可佩戴心率监视器
TWI698222B (zh) * 2014-03-03 2020-07-11 愛爾蘭商Ｑ生活全球有限公司 即時且連續之運動後過量氧耗測定及血乳酸鹽之估算
KR102270209B1 (ko) * 2014-10-28 2021-06-29 삼성전자주식회사 신체 착용형 전자 장치
US9724003B2 (en) * 2014-11-14 2017-08-08 Intel Corporation Ultra-low power continuous heart rate sensing in wearable devices
CN104622445B (zh) * 2015-01-30 2017-02-01 中国科学院电子学研究所 一种无线智能的多生理参数健康监护腕式设备
CN105943021B (zh) * 2016-05-13 2018-09-21 赵伟 一种可穿戴心脏节律监测装置和心律监测系统
CN106557655A (zh) * 2016-11-17 2017-04-05 包磊 一种基于用户状态的分析推荐方法和装置
CN106788535A (zh) * 2016-12-22 2017-05-31 歌尔科技有限公司 一种基于可穿戴设备的运动监控方法

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6616613B1 (en) * 2000-04-27 2003-09-09 Vitalsines International, Inc. Physiological signal monitoring system
CN102526879A (zh) * 2012-02-16 2012-07-04 微创医疗器械(上海)有限公司 用于起搏频率自适应调节的装置和系统
CN103505193A (zh) * 2012-06-19 2014-01-15 北京超思电子技术股份有限公司 一种腕带式生理信息监测装置
CN206026334U (zh) * 2016-05-03 2017-03-22 广东乐心医疗电子股份有限公司 一种运动量检测装置以及包括该装置的智能可穿戴设备
CN105919584A (zh) * 2016-06-23 2016-09-07 电子科技大学 用于可穿戴心率监测设备的心率估计方法及装置

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112089412A (zh) * 2020-04-17 2020-12-18 中国人民解放军第二军医大学 一种利用运动传感器配合心电监测进行算法除噪的方法

Also Published As

Publication number Publication date
CN110177497A (zh) 2019-08-27

Similar Documents

Publication Publication Date Title
US10945677B2 (en) Method for detecting biometric information and electronic device using same
US11164285B2 (en) Electronic device and method for displaying image on a display to prevent burn-in of the display
JP6235681B2 (ja) ユーザの意図および／または識別情報に基づくモバイルデバイス状態の調整のための方法、記憶媒体、及びシステム
KR102395832B1 (ko) 운동 정보 제공 방법 및 이를 지원하는 전자 장치
US9867152B2 (en) Method and device for measuring amount of user physical activity
US10325617B2 (en) Electronic device and method for classifying voice and noise
CN107085462B (zh) 用于管理电力的电子设备及控制其的方法
KR102560635B1 (ko) 컨텐트 인식 장치 및 그 동작 방법
WO2021054582A1 (en) Electronic device and method of estimating physiological signal
CN108024763B (zh) 活动信息提供方法及支持其的电子设备
CN113794987B (zh) 提供位置数据的电子设备和方法
WO2016068795A1 (en) System and method for providing an indication of the well-being of an individual
WO2018223359A1 (zh) 测量心率的方法和装置
US11596764B2 (en) Electronic device and method for providing information for stress relief by same
RU2651250C1 (ru) Способ и устройство для распознавания отпечатков пальцев
KR20180116843A (ko) 모션 감지 방법 및 이를 지원하는 전자 장치
TW202123877A (zh) 心率修正方法、系統、電子裝置以及電腦可讀取媒體
WO2017191908A1 (ko) 위치 정보 계산 방법 및 그 전자 장치
CN109218515B (zh) 用于检测用户接近的电子设备及其操作方法
US20180205869A1 (en) Image processing method and electronic device implementing the same
KR20170045037A (ko) 일정 정보 제공 방법 및 장치
KR102369319B1 (ko) 전자 장치 및 전자 장치의 핸드오프 기능 제공 방법
WO2023137957A1 (zh) 环境光感值的获取方法、电子设备及计算机可读存储介质
US11566947B2 (en) Temperature estimation system, temperature estimation method, and recording medium storing temperature estimation program
EP3354193A1 (en) Information processing device, digestion ratio estimating method, information processing system and digestion ratio estimating program

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 17913025

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 17913025

Country of ref document: EP

Kind code of ref document: A1