WO2020024279A1 - 心率检测方法、装置、检测设备及存储介质 - Google Patents

心率检测方法、装置、检测设备及存储介质 Download PDF

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Publication number
WO2020024279A1
WO2020024279A1 PCT/CN2018/098594 CN2018098594W WO2020024279A1 WO 2020024279 A1 WO2020024279 A1 WO 2020024279A1 CN 2018098594 W CN2018098594 W CN 2018098594W WO 2020024279 A1 WO2020024279 A1 WO 2020024279A1
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data
heart rate
user
exercise
time period
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PCT/CN2018/098594
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English (en)
French (fr)
Inventor
赵文良
王晓虎
刘新
汤彧
左海亮
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高驰运动科技(深圳)有限公司
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Priority to PCT/CN2018/098594 priority Critical patent/WO2020024279A1/zh
Priority to CN201880015679.8A priority patent/CN110494079B/zh
Publication of WO2020024279A1 publication Critical patent/WO2020024279A1/zh

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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
    • 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
    • A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
    • 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
    • A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
    • A61B5/02055—Simultaneously evaluating both cardiovascular condition and temperature
    • 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
    • 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
    • A61B5/02438—Detecting, measuring or recording pulse rate or heart rate with portable devices, e.g. worn by the patient
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1118—Determining activity level
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6802—Sensor mounted on worn items
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7203—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal

Definitions

  • the embodiments of the present disclosure relate to the technical field of electrocardiogram measurement, for example, to a heart rate detection method, device, detection device, and storage medium.
  • Exercise heart rate refers to the state of the heart rate maintained by the human body during exercise. Regardless of aerobic exercise or anaerobic exercise, in order to achieve better exercise results and ensure the safety of exercise, a more appropriate exercise heart rate is required to avoid problems such as poor exercise results and physical abnormalities during exercise.
  • the heart rate is detected by a pressure sensor, which is often used in conjunction with measuring blood pressure.
  • the heart rate is obtained from the electrocardiogram. This method has accurate measurement results, professional measurement process, and sensitive response.
  • the photoelectric method can be divided into two modes: a transmissive photoelectric method and a reflective photoelectric method.
  • a transmissive photoelectric method and a reflective photoelectric method.
  • most wearable devices adopt a reflective photoelectric method, which is characterized in that a green light emitting diode (Light Emitting Diode, LED) lamp is provided at the sensor part.
  • a green light emitting diode Light Emitting Diode, LED
  • the reflective photoelectric method includes two green-wavelength LEDs and a light-sensitive sensor located on the back of the wearable device.
  • the measurement principle of the reflective photoelectric method is that when the blood in the blood vessels of the arm pulsates, the density changes and the light transmittance changes. When a certain wavelength of light beam hits the skin surface, the light beam will be transmitted to the photosensitive sensor through reflection. In the process, the intensity of the light detected by the photosensitive sensor will weaken due to the attenuation of absorption by the skin, muscle and blood.
  • the human body's skin, bones, muscles, and fat reflect light at a fixed value, while capillaries, arteries, and veins continue to increase and decrease in size with the pulse volume under the action of the heart.
  • the peripheral blood volume is large, the light absorption is large, and the detected light intensity is small; when the heart is diastolic, the peripheral blood volume is small, the light absorption is small, and the detected light intensity is large, so that the photosensitive sensor receives The intensity of light changes pulsatingly.
  • the first two methods of measuring heart rate are mostly used in clinical medicine. Although the measurement results are accurate, the device is large, not easy to carry or the testing process is tedious, and it is uncomfortable to wear during exercise.
  • the photoelectric heart rate method is convenient to carry and wear. Comfortable and easy to use, it can be used in most wearable devices.
  • the detection equipment using the photoelectric method is susceptible to interference in the process of detecting the heart rate, and the accuracy of the detection results cannot be guaranteed.
  • the present disclosure provides a heart rate detection method, device, detection device, and storage medium, which can improve the accuracy of heart rate detection.
  • an embodiment of the present disclosure provides a heart rate detection method, and the method includes:
  • the motion data includes at least one of the following:
  • determining the user's exercise state during the time period according to the exercise data includes:
  • first movement data of the user at a first time point and second movement data of the user at a second time point according to the movement data of the user in the time period; wherein the first The time point and the second time point are any two time points within the time period and the first time point is earlier than the second time point;
  • the determining a user's exercise state within the time period according to the first exercise data and the second exercise data includes:
  • the motion state of the user in the time period is a motion weakened state.
  • the filtering the heart rate data according to the exercise state to obtain a heart rate detection result includes:
  • the exercise state of the user during the time period is the exercise enhancement state, filter out heart rate data lower than the first preset heart rate value from the heart rate data of the user in the time period, and Use the filtered heart rate data as the first heart rate detection result;
  • the first preset heart rate value is smaller than the second preset heart rate value.
  • an embodiment of the present disclosure further provides a heart rate detection device, including:
  • An acquisition module configured to acquire a user's heart rate data and exercise data within a time period
  • a determining module configured to determine a movement state of the user in the time period according to the movement data
  • the detection module is configured to pair according to the motion state.
  • the motion data includes at least one of the following:
  • the determining module includes:
  • An obtaining submodule configured to obtain first movement data of the user at a first time point and second movement data of the user at a second time point according to the movement data of the user in the time period;
  • the first time point and the second time point are any two time points in the time period, and the first time point is earlier than the second time point;
  • the determining sub-module is configured to determine an exercise state of the user in the time period according to the first exercise data and the second exercise data.
  • the determining sub-module is configured to: if the value of the first exercise data is less than or equal to the value of the second exercise data, determine the exercise state of the user in the time period It is a state of exercise enhancement; if the value of the first exercise data is greater than the value of the second exercise data, it is determined that the exercise state of the user in the time period is the exercise weakened state.
  • the detection module is configured to: if the exercise state of the user in the time period is the exercise enhancement state, filter from the heart rate data of the user in the time period Drop the heart rate data that is lower than the first preset heart rate value, and use the filtered heart rate data as the first heart rate detection result; if the user ’s exercise state during the time period is the exercise weakening state, The aforementioned user filters out heart rate data higher than a second preset heart rate value from the heart rate data within the time period, and uses the filtered heart rate data as a second heart rate detection result; wherein the first preset heart rate The value is smaller than the second preset heart rate value.
  • an embodiment of the present disclosure provides a detection device, including:
  • One or more processors are One or more processors;
  • Memory set to store one or more programs
  • the one or more processors are caused to implement the heart rate detection method according to any embodiment of the present disclosure.
  • the embodiment of the present disclosure further provides a non-volatile computer storage medium storing computer-executable instructions, where the computer-executable instructions are used to perform heart rate detection according to any one of the foregoing embodiments. method.
  • the embodiments of the present disclosure provide a heart rate detection method, device, detection device, and storage medium, which can detect the user's heart rate data during the time period according to the user's exercise state in a period of time, to avoid the occurrence of unrelated to the exercise state. Outliers for matching heart rate data.
  • the detection device is easily interfered in the process of detecting the heart rate, and the accuracy of the detection result cannot be guaranteed. Therefore, compared with the related art, the heart rate detection method, device, detection device, and storage medium provided in the embodiments of the present disclosure can improve the accuracy of heart rate detection; moreover, the technical solutions of the embodiments of the present disclosure are simple and convenient to implement, and convenient for popularization. Wider scope of application.
  • FIG. 1 is a flowchart of a heart rate detection method according to a first embodiment of the present disclosure
  • FIG. 2 is a flowchart of a heart rate detection method according to a second embodiment of the present disclosure
  • FIG. 3 is a flowchart of a heart rate detection method according to a third embodiment of the present disclosure.
  • FIG. 4 is a schematic structural diagram of a heart rate detection device according to a fourth embodiment of the present disclosure.
  • FIG. 5 is a schematic structural diagram of another heart rate detection device according to Embodiment 4 of the present disclosure.
  • FIG. 6 is a schematic structural diagram of a detection device according to Embodiment 5 of the present disclosure.
  • FIG. 1 is a flowchart of a heart rate detection method according to a first embodiment of the present disclosure. As shown in FIG. 1, the heart rate detection method may include the following steps:
  • Step 101 Acquire heart rate data and exercise data of a user within a period of time.
  • the user may be a user who currently has heart rate data to be detected, for example, the user is a current user who is wearing a detection device that implements the heart rate detection method described herein; the one period of time may be the current
  • the current time period during which the user wears the detection device for exercise may also be a time period set by the user, or may be the last time period during which the user performed exercise based on the current time, which is not limited in this embodiment.
  • the detection device may obtain heart rate data and exercise data of the current user in the current time period. In an embodiment, the detection device may obtain the heart rate data and exercise data of the current user in the current time period according to a preset period; wherein the exercise data may include at least one of the following: speed data, altitude data, body temperature data, and step ⁇ ⁇ Frequency data.
  • Step 102 Determine a motion state of the user in the time period according to the motion data.
  • the detection device may determine the motion state of the current user in the current time period based on the motion data of the current user in the current time period; wherein, the motion state may include a motion enhanced state and a motion weakened state.
  • the detection device may first obtain the first motion data of the current user at the first time point and the second motion data of the current user at the second time point according to the motion data of the current user in the current time period; Wherein, the first time point and the second time point are any two time points within the current time period and the first time point is earlier than the second time point; and then the current user is determined based on the first motion data and the second motion data. State of motion during time period.
  • Step 103 Filter the heart rate data according to the exercise state to obtain a heart rate detection result.
  • the detection device may filter the heart rate data according to the motion state of the current user in the current period to obtain a heart rate detection result. In an embodiment, if the current user ’s exercise state in the current time period is an exercise-enhancing state, the detection device may filter out the heart rate of the current user ’s heart rate data below the first preset heart rate value in the current time period.
  • the detection device may filter out the current user ’s heart rate data in the current time period Heart rate data higher than the second preset heart rate value, and the filtered heart rate data is used as the second heart rate detection result; wherein the first preset heart rate value is smaller than the second preset heart rate value.
  • the heart rate detection method provided by the embodiment of the present disclosure first obtains the user's heart rate data and exercise data within a period of time; then determines the user's exercise state within that period of time based on the user's exercise data within that period of time; finally, Filtering the heart rate data during the state of motion during the time period to obtain heart rate detection results to avoid abnormal values of heart rate data that do not match the state of motion.
  • the user's state of motion can be analyzed.
  • the heart rate detection method in the related art, the detection device is easily interfered in the process of detecting the heart rate, and the accuracy of the detection result cannot be guaranteed. Therefore, compared with the related art, the heart rate detection method provided in the embodiments of the present disclosure can improve the accuracy of heart rate detection; moreover, the technical solutions of the embodiments of the present disclosure are simple, convenient, and easy to popularize, and have a wider range of applications.
  • FIG. 2 is a flowchart of a heart rate detection method provided in Embodiment 2 of the present disclosure. As shown in FIG. 2, the heart rate detection method may include the following steps:
  • Step 201 Acquire heart rate data and exercise data of a user within a period of time.
  • the detection device may obtain heart rate data and exercise data of the current user in the current time period. In an embodiment, the detection device may obtain the heart rate data and exercise data of the current user in the current time period according to a preset period; wherein the exercise data may include at least one of the following: speed data, altitude data, body temperature data, and step ⁇ ⁇ Frequency data.
  • Step 202 Acquire first motion data of the user at a first time point and second motion data of the user at a second time point according to the motion data of the user in the time period.
  • the detection device may obtain the first motion data of the current user at the first time point and the second motion data of the current user at the second time point according to the motion data of the current user in the current time period; , The first time point and the second time point are any two time points in the current time period and the first time point is earlier than the second time point. In an embodiment, the detection device may arbitrarily select two time points as the first time point and the second time point in the current time period, and then obtain the first motion data corresponding to the first time point and the second time point. Second motion data.
  • Step 203 Determine a motion state of the user in the time period according to the first motion data and the second motion data.
  • the detection device may determine the motion state of the current user in the current time period according to the first motion data and the second motion data. In an embodiment, if the value of the first exercise data is less than or equal to the value of the second exercise data, the detection device determines that the exercise state of the current user in the current time period is an exercise enhanced state; if the value of the first exercise data is greater than The value of the second motion data, the detection device determines that the motion state of the current user in the current time period is a motion weakened state.
  • Step 204 Filter the heart rate data according to the exercise state to obtain a heart rate detection result.
  • the detection device may filter out the heart rate of the current user ’s heart rate data below the first preset heart rate value in the current time period. Data, and use the filtered heart rate data as the first heart rate detection result; if the current user ’s motion state in the current time period is a state of reduced motion, the detection device may filter out the current user ’s heart rate data in the current time period Heart rate data higher than the second preset heart rate value, and the filtered heart rate data is used as the second heart rate detection result; wherein the first preset heart rate value is smaller than the second preset heart rate value.
  • the heart rate detection method provided in the embodiment of the present disclosure first obtains the heart rate data and exercise data of the current user in the current time period; and then determines the exercise state of the current user in the current time period based on the exercise data of the current user in the current time period; Finally, the heart rate data is filtered according to the motion state of the current user in the current time period to obtain a heart rate detection result. That is, in the technical solution of the present disclosure, the heart rate data matching the exercise state may be acquired according to the exercise state of the current user in the current time period.
  • the detection device is easily interfered in the process of detecting the heart rate, and the accuracy of the detection result cannot be guaranteed. Therefore, compared with the related art, the heart rate detection method provided by the embodiment of the present disclosure can improve the accuracy of heart rate detection; moreover, the technical solution of the embodiment of the present disclosure is simple, convenient, and easy to popularize, and has a wider application range.
  • FIG. 3 is a flowchart of a heart rate detection method according to a third embodiment of the present disclosure. As shown in FIG. 3, the heart rate detection method may include the following steps:
  • Step 301 Acquire heart rate data and exercise data of a user within a time period.
  • the detection device may obtain heart rate data and exercise data of the current user in the current time period. In an embodiment, the detection device may obtain the heart rate data and exercise data of the current user in the current time period according to a preset period; wherein the exercise data may include at least one of the following: speed data, altitude data, body temperature data, and step ⁇ ⁇ Frequency data.
  • Step 302 Acquire first motion data of the user at a first time point and second motion data of the user at a second time point according to the motion data of the user in the time period.
  • the detection device may obtain the first motion data of the current user at a first point in time and the second motion data of the current user at a second point of time according to the motion data of the current user in the current time period. ; Wherein the first time point and the second time point are any two time points in the current time period and the first time point is earlier than the second time point. In an embodiment, the detection device may arbitrarily select two time points as the first time point and the second time point in the current time period, and then obtain the first motion data corresponding to the first time point and the second time point. Second motion data.
  • Step 303 Compare the magnitudes of the values of the first motion data and the second motion data.
  • the detection device may compare the magnitudes of the values of the first motion data and the second motion data. In an embodiment, the detection device may compare the magnitude of the value of the first speed data and the second speed data; or the detection device may also compare the magnitude of the value of the first altitude data and the second altitude data; or the detection device may also The magnitude of the value of the first body temperature data and the value of the second body temperature data may be compared; or, the detection device may also compare the magnitude of the value of the first step frequency data and the second step frequency data.
  • Step 304 If the value of the first exercise data is less than or equal to the value of the second exercise data, determine that the user's exercise state in the time period is an exercise-enhanced state; if the value of the first exercise data is greater than the second exercise The value of the data determines that the motion state of the user during the time period is a motion weakened state.
  • the detection device may determine that the exercise state of the current user in the current time period is the exercise enhanced state; if the value of the first exercise data is Greater than the value of the second motion data, the detection device may determine that the motion state of the current user in the current time period is a motion weakened state.
  • the detection device may determine the priority of the speed data, the altitude data, the body temperature data, and the cadence data, that is, the higher the priority data, the greater the impact on determining the user's exercise state within a time period. That is, the determination of the user's exercise state within a period of time depends on the higher priority data.
  • Step 305 Filter the heart rate data according to the exercise state to obtain a heart rate detection result.
  • the user performs a movement within a time period
  • the value of the first-step frequency data detected by the detection device at the first time point in the time period is 150 steps per minute, and the detection device is at that time.
  • the value of the second cadence data detected at the second time point in the segment is 170 steps per minute.
  • the detection device compares the value of the first cadence data with the value of the second cadence data.
  • the value of the first cadence data is less than
  • the value of the second cadence data determines that the motion state of the user in the time period is a motion enhanced state.
  • the user moves in a time period
  • the value of the first body temperature data detected by the detection device at the first time point in the time period is 38.3 degrees Celsius
  • the detection device detects at the second time point in the time period
  • the value of the second body temperature data obtained is 36.8 degrees Celsius.
  • the detection device compares the value of the first body temperature data with the value of the second body temperature data.
  • the value of the first body temperature data is greater than the value of the second body temperature data.
  • the detection device also detects the user Step frequency data, the detection device detects that the value of the first step frequency data at the first time point in the time period is 175 steps per minute, and the second step frequency data at the second time point in the time period
  • the value is 150 steps per minute.
  • the detection device compares the value of the first step data and the second step data. If the value of the first step data is greater than the value of the second step data, the body temperature data and the step frequency data are combined. It may be determined that the motion state of the user in the time period is a motion weakened state.
  • the detection device may detect the heart rate data of the current user in the current time period according to the motion state of the current user in the current time period. In an embodiment, if the current user ’s exercise state in the current time period is an exercise-enhanced state, the detection device may filter out the heart rate of the current user ’s heart rate data below the first preset heart rate value in the current time period ’s heart rate data Data, and use the filtered heart rate data as the first heart rate detection result; if the current user ’s motion state in the current time period is a state of reduced motion, the detection device may filter out the current user ’s heart rate data in the current time period Heart rate data higher than the second preset heart rate value, and the filtered heart rate data is used as the second heart rate detection result; wherein the first preset heart rate value is smaller than the second preset heart rate value.
  • the user can manually select the exercise mode freely, that is, the user selects the exercise enhanced state or the exercise weakened state.
  • the detection device when the user is exercising in a specific sports scene, the detection device (for example, a wearable device) may obtain only a single data and calculate the user's motion state. Although the accuracy of the detection results at this time is not as high as the comprehensive analysis of the exercise state, auxiliary judgment can still be performed.
  • the present disclosure limits the occurrence of excessively low abnormal values, and assists in determining the heart rate trend.
  • the user's cadence when the user's cadence is gradually increased (or decreased), it can be determined that the user's exercise intensity is gradually increased (or decreased), and then the user's heart rate trend is also determined. Will increase (or decrease), filter out abnormal values or judge the trend of heart rate in advance through the present disclosure.
  • FIG. 4 is a schematic structural diagram of a heart rate detection device according to a fourth embodiment of the present disclosure. As shown in FIG. 4, the device includes: an obtaining module 401, a determining module 402, and a detecting module 403;
  • the acquisition module 401 is configured to acquire a user's heart rate data and exercise data within a period of time;
  • the determining module 402 is configured to determine a movement state of the user in the time period according to the movement data
  • the detection module 403 is configured to filter the heart rate data according to the exercise state to obtain a heart rate detection result.
  • the user may be a user who currently has heart rate data to be detected, for example, the user is a current user who is wearing a detection device that implements the heart rate detection method described herein; the one period of time may be the current
  • the current time period during which the user wears the detection device for exercise may also be a time period set by the user, or may be the last time period during which the user performed exercise based on the current time, which is not limited in this embodiment.
  • FIG. 5 is a schematic structural diagram of another heart rate detection device provided in Embodiment 4 of the present disclosure.
  • the determination module 402 includes: an acquisition submodule 4021 and a determination submodule 4022;
  • the obtaining submodule 4021 is configured to obtain first movement data of the current user at a first time point and the current user at a second time point according to the movement data of the current user in the current time period. Second motion data on the Internet; wherein the first time point and the second time point are any two time points within the current time period and the first time point is earlier than the second time point ;
  • the determining sub-module 4022 is configured to determine a motion state of the current user in the current time period according to the first motion data and the second motion data.
  • the determining sub-module 4022 is configured to determine that if the value of the first exercise data is less than or equal to the value of the second exercise data, the current user is within the current time period.
  • the motion state is a motion enhancement state; if the value of the first motion data is greater than the value of the second motion data, it is determined that the motion state of the current user in the current time period is a motion weakened state.
  • the detection module 403 is configured to, if the current user's exercise state in the current time period is the exercise enhanced state, the current user's Heart rate data that is lower than the first preset heart rate value is filtered out of the heart rate data, and the filtered heart rate data is used as the first heart rate detection result; if the current user ’s exercise state in the current period is the exercise In the weakened state, the heart rate data higher than the second preset heart rate value is filtered from the heart rate data of the current user in the current time period, and the filtered heart rate data is used as the second heart rate monitoring result; wherein, The first preset heart rate value is smaller than the second preset heart rate value.
  • the above-mentioned heart rate detection device can execute the method provided by any embodiment of the present disclosure, and has corresponding functional modules and beneficial effects for executing the method.
  • the heart rate detection method provided in any embodiment of the present disclosure.
  • FIG. 6 is a schematic structural diagram of a detection device according to a fifth embodiment of the present disclosure.
  • FIG. 6 shows a block diagram of an exemplary detection device suitable for implementing embodiments of the present disclosure.
  • the detection device 12 shown in FIG. 6 is merely an example, and should not impose any limitation on the functions and scope of use of the embodiments of the present disclosure.
  • the detection device 12 is expressed in the form of a general-purpose computing device.
  • the components of the detection device 12 may include, but are not limited to, one or more processors or processing units 16, a system memory 28, and a bus 18 connecting different system components (including the system memory 28 and the processing unit 16).
  • the bus 18 represents one or more of several types of bus structures, including a memory bus or a memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local area bus using any of a variety of bus structures.
  • these architectures include, but are not limited to, the Industry Standard Architecture (ISA) bus, the Micro Channel Architecture (MAC) bus, the enhanced ISA bus, and the Video Electronics Standard Association.
  • VESA local bus and Peripheral Component Interconnect (PCI) bus.
  • the detection device 12 typically includes a variety of computer system-readable media. These media can be any available media that can be accessed by the detection device 12, including volatile and non-volatile media, removable and non-removable media.
  • the system memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache memory 32.
  • RAM random access memory
  • the detection device 12 may include other removable / non-removable, volatile / nonvolatile computer system storage media.
  • the storage system 34 may be configured to read and write non-removable, non-volatile magnetic media (not shown in FIG. 6 and is commonly referred to as a "hard drive").
  • each drive may be connected to the bus 18 through one or more data medium interfaces.
  • the memory 28 may include at least one program product having a set (eg, at least one) of program modules configured to perform the functions of each embodiment of the present disclosure.
  • a program / utility tool 40 having a set (at least one) of program modules 42 may be stored in, for example, the memory 28.
  • Such program modules 42 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data Each of these examples, or some combination, may include an implementation of a network environment.
  • the program module 42 generally performs functions and / or methods in the embodiments described in the present disclosure.
  • the detection device 12 may also communicate with one or more external devices 14 (such as a keyboard, pointing device, display 24, etc.), and may also communicate with one or more devices that enable a user to interact with the detection device 12, and / or with Any device (such as a network card, modem, etc.) that enables the detection device 12 to communicate with one or more other computing devices. This communication can be performed through an input / output (I / O) interface 22.
  • the detection device 12 may also communicate with one or more networks (such as a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) through the network adapter 20. As shown, the network adapter 20 communicates with other modules of the detection device 12 through the bus 18.
  • LAN local area network
  • WAN wide area network
  • public network such as the Internet
  • detection device 12 may be used in combination with the detection device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, and disk arrays of Independent Disks (RAID) systems, tape drives, and data backup storage systems.
  • RAID Independent Disks
  • the processing unit 16 executes each functional application and data processing by running a program stored in the system memory 28, for example, implementing a heart rate detection method provided by the embodiment of the present disclosure.
  • Embodiment 6 of the present disclosure provides a computer storage medium.
  • the computer-readable storage medium of the embodiment of the present disclosure may adopt any combination of one or more computer-readable media.
  • the computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium.
  • the computer-readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof.
  • a computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in combination with an instruction execution system, apparatus, or device.
  • the computer-readable signal medium may include a data signal in baseband or propagated as part of a carrier wave, which carries a computer-readable program code. Such a propagated data signal may take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing.
  • the computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, and the computer-readable medium may send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device .
  • the program code contained on the computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wire, optical fiber cable, radio frequency (RF), etc., or any suitable combination of the foregoing.
  • any appropriate medium including but not limited to wireless, wire, optical fiber cable, radio frequency (RF), etc., or any suitable combination of the foregoing.
  • Computer program code for performing the operations of the present disclosure may be written in one or more programming languages, or a combination thereof, including programming languages such as Java, Smalltalk, C ++, and Includes conventional procedural programming languages-such as "C" or similar programming languages.
  • the program code can be executed entirely on the user's computer, partly on the user's computer, as an independent software package, partly on the user's computer, partly on a remote computer, or entirely on a remote computer or server.
  • the remote computer can be connected to the user's computer through any kind of network, including a local area network (LAN) or wide area network (WAN), or it can be connected to an external computer (such as through an Internet service provider Internet connection).
  • LAN local area network
  • WAN wide area network
  • Internet service provider Internet connection such as AT&T, MCI, Sprint, EarthLink, MSN, GTE, etc.

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Abstract

一种心率检测方法，包括：获取用户在一时间段内的心率数据和运动数据（101、201、301）；根据运动数据确定用户在时间段内的运动状态（102）；根据运动状态对心率数据进行过滤，获取心率检测结果（103、204、305）。还包括一种心率检测装置、检测设备（12）以及存储介质。

Description

心率检测方法、装置、检测设备及存储介质 技术领域
本公开实施例涉及心电测量技术领域，例如涉及一种心率检测方法、装置、检测设备及存储介质。
背景技术
运动心率是指人体在运动时所保持的心率状态。不管是有氧运动，还是无氧运动，为了达到较佳的运动效果以及保证运动的安全，均要有一个较为合适的运动心率，以避免运动效果不佳以及运动过程中身体异常等问题。
目前，测量心率的方法包括以下三种：第一、通过压力传感器检测心率，其常与测量血压连用。第二、从心电图中获取心率，此方法测量结果精确、测量过程专业、反应灵敏。第三、使用光电法测量心率，如运动手表、手环等。根据光信号接收位置的不同，光电法可分为透射式光电法和反射式光电法两种模式。目前，大多数可穿戴设备都采用了反射式光电法，其特征是在传感器部位配备了绿色发光二极管(Light Emitting Diode，LED)灯。反射式光电法包括两个绿色波长的LED和一个光敏传感器，位于可穿戴设备的背部。反射式光电法的测量原理是，手臂血管中的血液在脉动的时候会发生密度改变而引起透光率的变化。当一定波长的光束照射到皮肤表面时，光束将通过反射方式传送到光敏传感器，在此过程中由于受到皮肤、肌肉以及血液吸收的衰减作用，光敏传感器检测到光的强度将减弱。其中，人体的皮肤、骨骼、肌肉、以及脂肪等对光的反射是固定值，而毛细血管、动脉、以及静脉则在心脏的作用下随着脉 搏容积不停地交替变大、变小。当心脏收缩时，外周血容量多、光吸收量大，检测到的光强度小；而在心脏舒张时，外周血容量少，光吸收量小，检测到的光强度大，使光敏传感器接收到的光强度随之呈脉动性变化。
前两种测量心率的方法多用于临床医学，虽然测量结果精确，但是设备体积较大、不易携带或测试过程较为繁琐，运动过程中佩戴不舒适，而通过光电法检测心率的方式携带方便、佩戴舒适、操作便捷，可以应用在大多数可穿戴设备中。
但是，使用光电法的检测设备在检测心率的过程中容易受到干扰，无法保证检测结果的准确性。
发明内容
本公开提供一种心率检测方法、装置、检测设备及存储介质，可以提高心率检测的准确性。
在一实施例中，本公开实施例提供了一种心率检测方法，所述方法包括：
获取用户在一时间段内的心率数据和运动数据；
根据所述运动数据确定所述用户在所述时间段内的运动状态；
根据所述运动状态对所述心率数据进行过滤，获取心率检测结果。
在一实施例中，所述运动数据包括以下至少之一：
速度数据、海拔数据、体温数据以及步频数据。
在一实施例中，所述根据所述运动数据确定所述用户在所述时间段内的运动状态，包括：
根据所述用户在所述时间段内的运动数据获取所述用户在第一时间点上的 第一运动数据和所述用户在第二时间点上的第二运动数据；其中，所述第一时间点和所述第二时间点为所述时间段内的任意两个时间点且所述第一时间点早于所述第二时间点；
根据所述第一运动数据和所述第二运动数据确定所述用户在所述时间段内的运动状态。
在一实施例中，所述根据所述第一运动数据和所述第二运动数据确定所述用户在所述时间段内的运动状态，包括：
若所述第一运动数据的值小于或等于所述第二运动数据的值，则确定所述用户在所述时间段内的运动状态为运动加强状态；
若所述第一运动数据的值大于所述第二运动数据的值，则确定所述用户在所述时间段内的运动状态为运动减弱状态。
在一实施例中，所述根据所述运动状态对所述心率数据进行过滤，获取心率检测结果，包括：
若所述用户在所述时间段内的运动状态为所述运动加强状态，则从所述用户在所述时间段内的心率数据中过滤掉低于第一预设心率值的心率数据，并将过滤后的心率数据作为第一心率检测结果；
若所述用户在所述时间段内的运动状态为所述运动减弱状态，则从所述用户在所述时间段内的心率数据中过滤掉高于第二预设心率值的心率数据，并将过滤后的心率数据作为第二心率检测结果；
其中，所述第一预设心率值小于所述第二预设心率值。
在一实施例中，本公开实施例还提供了一种心率检测装置，包括：
获取模块，设置为获取用户在时间段内的心率数据和运动数据；
确定模块，设置为根据所述运动数据确定所述用户在所述时间段内的运动状态；
检测模块，设置为根据所述运动状态对。
在一实施例中，所述运动数据包括以下至少之一：
速度数据、海拔数据、体温数据以及步频数据。
在一实施例中，所述确定模块包括：
获取子模块，设置为根据所述用户在所述时间段内的运动数据获取所述用户在第一时间点上的第一运动数据和所述用户在第二时间点上的第二运动数据；其中，所述第一时间点和所述第二时间点为所述时间段内的任意两个时间点且所述第一时间点早于所述第二时间点；
确定子模块，设置为根据所述第一运动数据和所述第二运动数据确定所述用户在所述时间段内的运动状态。
在一实施例中，所述确定子模块是设置为：若所述第一运动数据的值小于或等于所述第二运动数据的值，则确定所述用户在所述时间段内的运动状态为运动加强状态；若所述第一运动数据的值大于所述第二运动数据的值，则确定所述用户在所述时间段内的运动状态为运动减弱状态。
在一实施例中，所述检测模块是设置为：若所述用户在所述时间段内的运动状态为所述运动加强状态，则从所述用户在所述时间段内的心率数据中过滤掉低于第一预设心率值的心率数据，并将过滤后的心率数据作为第一心率检测结果；若所述用户在所述时间段内的运动状态为所述运动减弱状态，则从所述前用户在所述时间段内的心率数据中过滤掉高于第二预设心率值的心率数据，并将过滤后的心率数据作为第二心率检测结果；其中，所述第一预设心率值小 于所述第二预设心率值。
在一实施例中，本公开实施例提供了一种检测设备，包括：
一个或多个处理器；
存储器，设置为存储一个或多个程序，
当所述一个或多个程序被所述一个或多个处理器执行，使得所述一个或多个处理器实现本公开任意实施例所述的心率检测方法。
在一实施例中，本公开实施例还提供了一种非易失性计算机存储介质，存储有计算机可执行指令，所述计算机可执行指令用于执行如上述任一实施例所述的心率检测方法。
本公开实施例提出了一种心率检测方法、装置、检测设备及存储介质，可以根据用户在一时间段内的运动状态对用户在该时间段内的心率数据进行检测，避免出现与运动状态不符合的心率数据的异常值。而相关技术的心率检测方法，检测设备在检测心率的过程中容易受到干扰，无法保证检测结果的准确性。因此，和相关技术相比，本公开实施例提出的心率检测方法、装置、检测设备及存储介质，可以提高心率检测的准确性；而且，本公开实施例的技术方案实现简单方便、便于普及，适用范围更广。
附图说明
图1为本公开实施例一提供的心率检测方法的流程图；
图2为本公开实施例二提供的心率检测方法的流程图；
图3为本公开实施例三提供的心率检测方法的流程图；
图4为本公开实施例四提供的一种心率检测装置的结构示意图；
图5为本公开实施例四提供的另一种心率检测装置的结构示意图；
图6为本公开实施例五提供的检测设备的结构示意图。
具体实施方式
下面结合附图和实施例对本公开进行说明。可以理解的是，此处所描述的具体实施例仅仅用于解释本公开，而非对本公开的限定。为了便于描述，附图中仅示出了与本公开相关的部分而非全部结构。
实施例一
图1为本公开实施例一提供的心率检测方法的流程图。如图1所示，心率检测方法可以包括以下步骤：
步骤101、获取用户在一时间段内的心率数据和运动数据。
在一实施例中，所述用户可以为当前待检测心率数据的用户，例如，所述用户为佩戴有实现本文所述的心率检测方法的检测设备的当前用户；所述一时间段可以为当前用户佩戴该检测设备进行运动的当前时间段，也可以为用户设置的一个时间段，还可以为基于当前时间用户进行运动的上一时间段，本实施例对此并不限制。
在一实施例中，检测设备可以获取当前用户在当前时间段内的心率数据和运动数据。在一实施例中，检测设备可以按照预设周期获取当前用户在当前时间段内的心率数据和运动数据；其中，该运动数据可以包括以下至少之一：速度数据、海拔数据、体温数据以及步频数据。
步骤102、根据所述运动数据确定所述用户在所述时间段内的运动状态。
在一实施例中，检测设备可以根据当前用户在当前时间段内的运动数据确 定当前用户在当前时间段内的运动状态；其中，该运动状态可以包括：运动加强状态和运动减弱状态。在一实施例中，检测设备可以先根据当前用户在当前时间段内的运动数据获取当前用户在第一时间点上的第一运动数据和当前用户在第二时间点上的第二运动数据；其中，第一时间点和第二时间点为当前时间段内的任意两个时间点且第一时间点早于第二时间点；然后根据第一运动数据和第二运动数据确定当前用户在当前时间段内的运动状态。
步骤103、根据所述运动状态对所述心率数据进行过滤，获取心率检测结果。
在一实施例中，检测设备可以根据当前用户在当前时间段内的运动状态对所述心率数据进行过滤，获取心率检测结果。在一实施例中，若当前用户在当前时间段内的运动状态为运动加强状态，则检测设备可以在当前用户在当前时间段内的心率数据中过滤掉低于第一预设心率值的心率数据，并将过滤后的心率数据作为第一心率检测结果；若当前用户在当前时间段内的运动状态为运动减弱状态，则检测设备可以在当前用户在当前时间段内的心率数据中过滤掉高于第二预设心率值的心率数据，并将过滤后的心率数据作为第二心率检测结果；其中，第一预设心率值小于第二预设心率值。
本公开实施例提出的心率检测方法，先获取用户在一时间段内的心率数据和运动数据；然后根据用户在该时间段内的运动数据确定用户在该时间段内的运动状态；最后根据用户在该时间段内的运动状态对所述心率数据进行过滤，获取心率检测结果，以避免出现与运动状态不符合的心率数据的异常值在本公开的技术方案中，可以分析用户的运动状态，对心率趋势进行判断，过滤心率数据并引导在一定的频率范围内选取心率数据，解决了反射式光电法所得到的心率数据易发生突增、骤降、响应慢、无法追踪上心率快速剧烈波动的情况， 以及心率漂移等现象。。相关技术中的心率检测方法，检测设备在检测心率的过程中容易受到干扰，无法保证检测结果的准确性。因此，和相关技术相比，本公开实施例提出的心率检测方法，可以提高心率检测的准确性；而且，本公开实施例的技术方案实现简单方便、便于普及，适用范围更广。
实施例二
图2为本公开实施例二提供的心率检测方法的流程图。如图2所示，心率检测方法可以包括以下步骤：
步骤201、获取用户在一时间段内的心率数据和运动数据。
在一实施例中，检测设备可以获取当前用户在当前时间段内的心率数据和运动数据。在一实施例中，检测设备可以按照预设周期获取当前用户在当前时间段内的心率数据和运动数据；其中，该运动数据可以包括以下至少之一：速度数据、海拔数据、体温数据以及步频数据。
步骤202、根据所述用户在所述时间段内的运动数据获取所述用户在第一时间点上的第一运动数据和所述用户在第二时间点上的第二运动数据。
在一实施例中，检测设备可以根据当前用户在当前时间段内的运动数据获取当前用户在第一时间点上的第一运动数据和当前用户在第二时间点上的第二运动数据；其中，第一时间点和第二时间点为当前时间段内的任意两个时间点且第一时间点早于第二时间点。在一实施例中，检测设备可以在当前时间段内任意选取两个时间点分别作为第一时间点和第二时间点，然后获取第一时间点对应的第一运动数据和第二时间点对应的第二运动数据。
步骤203、根据第一运动数据和第二运动数据确定所述用户在所述时间段内 的运动状态。
在一实施例中，检测设备可以根据第一运动数据和第二运动数据确定当前用户在当前时间段内的运动状态。在一实施例中，若第一运动数据的值小于或等于第二运动数据的值，则检测设备确定当前用户在当前时间段内的运动状态为运动加强状态；若第一运动数据的值大于第二运动数据的值，则检测设备确定当前用户在当前时间段内的运动状态为运动减弱状态。
步骤204、根据所述运动状态对所述心率数据进行过滤，获取心率检测结果。
在一实施例中，若当前用户在当前时间段内的运动状态为运动加强状态，则检测设备可以在当前用户在当前时间段内的心率数据中过滤掉低于第一预设心率值的心率数据，并将过滤后的心率数据作为第一心率检测结果；若当前用户在当前时间段内的运动状态为运动减弱状态，则检测设备可以在当前用户在当前时间段内的心率数据中过滤掉高于第二预设心率值的心率数据，并将过滤后的心率数据作为第二心率检测结果；其中，第一预设心率值小于第二预设心率值。
本公开实施例提出的心率检测方法，先获取当前用户在当前时间段内的心率数据和运动数据；然后根据当前用户在当前时间段内的运动数据确定当前用户在当前时间段内的运动状态；最后根据当前用户在当前时间段内的运动状态对所述心率数据进行过滤，获取心率检测结果。也就是说，在本公开的技术方案中，可以根据当前用户在当前时间段内的运动状态获取与运动状态相匹配的心率数据。而相关技术的心率检测方法，检测设备在检测心率的过程中容易受到干扰，无法保证检测结果的准确性。因此，和相关技术相比，本公开实施例提出的心率检测方法，可以提高心率检测的准确性；并且，本公开实施例的技 术方案实现简单方便、便于普及，适用范围更广。
实施例三
图3为本公开实施例三提供的心率检测方法的流程图。如图3所示，心率检测方法可以包括以下步骤：
步骤301、获取用户在一时间段内的心率数据和运动数据。
在一实施例中，检测设备可以获取当前用户在当前时间段内的心率数据和运动数据。在一实施例中，检测设备可以按照预设周期获取当前用户在当前时间段内的心率数据和运动数据；其中，该运动数据可以包括以下至少之一：速度数据、海拔数据、体温数据以及步频数据。
步骤302、根据所述用户在所述时间段内的运动数据获取所述用户在第一时间点上的第一运动数据和所述用户在第二时间点上的第二运动数据。
在本公开的实施例中，检测设备可以根据当前用户在当前时间段内的运动数据获取当前用户在第一时间点上的第一运动数据和当前用户在第二时间点上的第二运动数据；其中，第一时间点和第二时间点为当前时间段内的任意两个时间点且第一时间点早于第二时间点。在一实施例中，检测设备可以在当前时间段内任意选取两个时间点分别作为第一时间点和第二时间点，然后获取第一时间点对应的第一运动数据和第二时间点对应的第二运动数据。
步骤303、比较第一运动数据和第二运动数据的值的大小。
在本公开的实施例中，检测设备可以比较第一运动数据和第二运动数据的值的大小。在一实施例中，检测设备可以比较第一速度数据和第二速度数据的值的大小；或者，检测设备还可以比较第一海拔数据和第二海拔数据的值的大 小；或者，检测设备还可以比较第一体温数据和第二体温数据的值的大小；或者，检测设备还可以比较第一步频数据和第二步频数据的值的大小。步骤304、若第一运动数据的值小于或等于第二运动数据的值，则确定所述用户在所述时间段内的运动状态为运动加强状态；若第一运动数据的值大于第二运动数据的值，则确定所述用户在所述时间段内的运动状态为运动减弱状态。
在一实施例中，若第一运动数据的值小于或等于第二运动数据的值，则检测设备可以确定当前用户在当前时间段内的运动状态为运动加强状态；若第一运动数据的值大于第二运动数据的值，则检测设备可以确定当前用户在当前时间段内的运动状态为运动减弱状态。
在一实施例中，检测设备可以确定速度数据、海拔数据、体温数据以及步频数据的优先级，即：优先级越高的数据对于确定用户在一时间段内的运动状态的影响越大，也即：用户在一时间段内的运动状态的确定对优先级高的数据的依赖程度较高。
步骤305、根据所述运动状态对所述心率数据进行过滤，获取心率检测结果。
在一实施例中，例如，用户在一时间段内进行运动，检测设备在该时间段内的第一时间点检测到的第一步频数据的值为150步每分钟，检测设备在该时间段内的第二时间点检测到的第二步频数据的值为170步每分钟，检测设备比较第一步频数据和第二步频数据的值的大小，第一步频数据的值小于第二步频数据的值，则确定所述用户在所述时间段内的运动状态为运动加强状态。又例如：用户在一时间段内进行运动，检测设备在该时间段内的第一时间点检测到的第一体温数据的值为38.3摄氏度，检测设备在该时间段内的第二时间点检测到的第二体温数据的值为36.8摄氏度，检测设备比较第一体温数据和第二体温 数据的值的大小，第一体温数据的值大于第二体温数据的值，检测设备同时也检测了用户的步频数据，检测设备检测到在该时间段内的第一时间点的第一步频数据的值为175步每分钟，在该时间段内的第二时间点的第二步频数据的值为150步每分钟，检测设备比较第一步频数据和第二步频数据的值的大小，第一步频数据的值大于第二步频数据的值，则综合体温数据和步频数据可以确定所述用户在所述时间段内的运动状态为运动减弱状态。
在本公开的实施例中，检测设备可以根据当前用户在当前时间段内的运动状态对当前用户在当前时间段内的心率数据进行检测。在一实施例中，若当前用户在当前时间段内的运动状态为运动加强状态，则检测设备可以在当前用户在当前时间段内的心率数据中过滤掉低于第一预设心率值的心率数据，并将过滤后的心率数据作为第一心率检测结果；若当前用户在当前时间段内的运动状态为运动减弱状态，则检测设备可以在当前用户在当前时间段内的心率数据中过滤掉高于第二预设心率值的心率数据，并将过滤后的心率数据作为第二心率检测结果；其中，第一预设心率值小于第二预设心率值。
在一实施例中，用户可以手动自由选择运动模式，即，用户选择运动加强状态或运动减弱状态。
在一实施例中，当用户在特定的运动场景下运动时，检测设备(例如：穿戴设备)可以只获得单一数据，并计算用户的运动状态。虽然此时检测结果的准确性没有运动状态综合分析高，但仍可以进行辅助判断。
在一实施例中，如户外跑步、户外骑行的场景下，随着用户的运动速度不断增加(或降低)，可判断用户的运动强度不断提高(或下降)，进而提前判断用户的心率的走势也不断提高(或下降)，通过本公开避免了心率信号很弱而无 法出值，或突然漂移和降低等情况。
在一实施例中，如登山、爬楼的场景下，当用户所处的海拔不断快速提升(或下降)，判断用户的运动强度逐渐增大(或降低)，进而判断用户的运动强度也逐渐增大(或降低)，通过本公开将心率信号取值范围进行一定限制，使得过滤后的数值稳定且趋势一致。
在一实施例中，如健身、舞蹈运动场景下，当用户体温短时间内快速升高(或降低)，可判断用户的运动强度增大(或降低)，进而判断用户的心率会快速升高(或降低)，通过本公开限制过低异常值的出现，辅助判断心率趋势。
在一实施例中，如跑步机、球类运动场景下，当用户的步频逐步增加(或降低)，可判断用户的运动强度逐步加大(或降低)，进而判断用户的心率的走势也会增加(或降低)，通过本公开过滤掉异常数值或提前判断心率的趋势。
实施例四
图4为本公开实施例四提供的一种心率检测装置的结构示意图。如图4所示，所述装置包括：获取模块401、确定模块402以及检测模块403；其中，
所述获取模块401，设置为获取用户在一时间段内的心率数据和运动数据；
所述确定模块402，设置为根据所述运动数据确定所述用户在所述时间段内的运动状态；
所述检测模块403，设置为根据所述运动状态对所述心率数据进行过滤，获取心率检测结果。
在一实施例中，所述用户可以为当前待检测心率数据的用户，例如，所述用户为佩戴有实现本文所述的心率检测方法的检测设备的当前用户；所述一时 间段可以为当前用户佩戴该检测设备进行运动的当前时间段，也可以为用户设置的一个时间段，还可以为基于当前时间用户进行运动的上一时间段，本实施例对此并不限制。
图5为本公开实施例四提供的另一种心率检测装置的结构示意图。如图5所示，所述确定模块402包括：获取子模块4021和确定子模块4022；其中，
所述获取子模块4021，设置为根据所述当前用户在所述当前时间段内的运动数据获取所述当前用户在第一时间点上的第一运动数据和所述当前用户在第二时间点上的第二运动数据；其中，所述第一时间点和所述第二时间点为所述当前时间段内的任意两个时间点且所述第一时间点早于所述第二时间点；
所述确定子模块4022，设置为根据所述第一运动数据和所述第二运动数据确定所述当前用户在所述当前时间段内的运动状态。
在一实施例中，所述确定子模块4022是设置为若所述第一运动数据的值小于或等于所述第二运动数据的值，则确定所述当前用户在所述当前时间段内的运动状态为运动加强状态；若所述第一运动数据的值大于所述第二运动数据的值，则确定所述当前用户在所述当前时间段内的运动状态为运动减弱状态。
在一实施例中，所述检测模块403是设置为若所述当前用户在所述当前时间段内的运动状态为所述运动加强状态，则从所述当前用户在所述当前时间段内的心率数据中过滤掉低于第一预设心率值的心率数据，并将过滤后的心率数据作为第一心率检测结果；若所述当前用户在所述当前时间段内的运动状态为所述运动减弱状态，则从所述当前用户在所述当前时间段内的心率数据中过滤掉高于第二预设心率值的心率数据，并将过滤后的心率数据作为第二心率监测结果；其中，所述第一预设心率值小于所述第二预设心率值。
上述心率检测装置可执行本公开任意实施例所提供的方法，具备执行方法相应的功能模块和有益效果。未在本实施例中详尽描述的技术细节，可参见本公开任意实施例提供的心率检测方法。
实施例五
图6是本公开实施例五提供的检测设备的结构示意图。图6示出了适于用来实现本公开实施方式的示例性检测设备的框图。图6显示的检测设备12仅仅是一个示例，不应对本公开实施例的功能和使用范围带来任何限制。
如图6所示，检测设备12以通用计算设备的形式表现。检测设备12的组件可以包括但不限于：一个或者多个处理器或者处理单元16，系统存储器28，连接不同系统组件(包括系统存储器28和处理单元16)的总线18。
总线18表示几类总线结构中的一种或多种，包括存储器总线或者存储器控制器，外围总线，图形加速端口，处理器或者使用多种总线结构中的任意总线结构的局域总线。举例来说，这些体系结构包括但不限于工业标准体系结构(Industry Standard Architecture，ISA)总线，微通道体系结构(MicroChannel Architecture，MAC)总线，增强型ISA总线、视频电子标准协会(Vedio Electronic StandardAssociation，VESA)局域总线以及外围组件互连(Peripheral Component Interconnect，PCI)总线。
检测设备12典型地包括多种计算机系统可读介质。这些介质可以是任何能够被检测设备12访问的可用介质，包括易失性和非易失性介质，可移动的和不可移动的介质。
系统存储器28可以包括易失性存储器形式的计算机系统可读介质，例如随 机存取存储器(Random Access Memory，RAM)30和/或高速缓存存储器32。检测设备12可以包括其它可移动/不可移动的、易失性/非易失性计算机系统存储介质。仅作为举例，存储系统34可以设置为读写不可移动的、非易失性磁介质(图6未显示，通常称为“硬盘驱动器”)。尽管图6中未示出，可以提供用于对可移动非易失性磁盘(例如“软盘”)读写的磁盘驱动器，以及对可移动非易失性光盘(例如便携式紧凑磁盘只读存储器(Compact Disc Read-Only Memory，CD-ROM)，数字视盘(Digital Video Disc-Read Only Memory，DVD-ROM)或者其它光介质)读写的光盘驱动器。在这些情况下，每个驱动器可以通过一个或者多个数据介质接口与总线18相连。存储器28可以包括至少一个程序产品，该程序产品具有一组(例如至少一个)程序模块，这些程序模块被配置以执行本公开每个实施例的功能。
具有一组(至少一个)程序模块42的程序/实用工具40，可以存储在例如存储器28中，这样的程序模块42包括但不限于操作系统、一个或者多个应用程序、其它程序模块以及程序数据，这些示例中的每一个或某种组合中可能包括网络环境的实现。程序模块42通常执行本公开所描述的实施例中的功能和/或方法。
检测设备12也可以与一个或多个外部设备14(例如键盘、指向设备、显示器24等)通信，还可与一个或者多个使得用户能与该检测设备12交互的设备通信，和/或与使得该检测设备12能与一个或多个其它计算设备进行通信的任何设备(例如网卡，调制解调器等等)通信。这种通信可以通过输入/输出(Input/Output，I/O)接口22进行。并且，检测设备12还可以通过网络适配器20与一个或者多个网络(例如局域网(Local Area Network，LAN)，广域网(Wide  Area Network，WAN)和/或公共网络，例如因特网)通信。如图所示，网络适配器20通过总线18与检测设备12的其它模块通信。应当明白，尽管图中未示出，可以结合检测设备12使用其它硬件和/或软件模块，包括但不限于：微代码、设备驱动器、冗余处理单元、外部磁盘驱动阵列、磁盘阵列(Redundant Arrays of Independent Disks，RAID)系统、磁带驱动器以及数据备份存储系统等。
处理单元16通过运行存储在系统存储器28中的程序，从而执行每种功能应用以及数据处理，例如实现本公开实施例所提供的心率检测方法。
实施例六
本公开实施例六提供了一种计算机存储介质。
本公开实施例的计算机可读存储介质，可以采用一个或多个计算机可读的介质的任意组合。计算机可读介质可以是计算机可读信号介质或者计算机可读存储介质。计算机可读存储介质例如可以是——但不限于——电、磁、光、电磁、红外线、或半导体的系统、装置或器件，或者任意以上的组合。计算机可读存储介质的更具体的例子(非穷举的列表)包括：具有一个或多个导线的电连接、便携式计算机磁盘、硬盘、随机存取存储器(RAM)、只读存储器(Read-Only Memory，ROM)、可擦式可编程只读存储器(Erasable Programmable Read-Only Memory，EPROM)或闪存、光纤、便携式紧凑磁盘只读存储器(CD-ROM)、光存储器件、磁存储器件、或者上述的任意合适的组合。在本文件中，计算机可读存储介质可以是任何包含或存储程序的有形介质，该程序可以被指令执行系统、装置或者器件使用或者与其结合使用。
计算机可读的信号介质可以包括在基带中或者作为载波一部分传播的数据 信号，其中承载了计算机可读的程序代码。这种传播的数据信号可以采用多种形式，包括但不限于电磁信号、光信号或上述的任意合适的组合。计算机可读的信号介质还可以是计算机可读存储介质以外的任何计算机可读介质，该计算机可读介质可以发送、传播或者传输用于由指令执行系统、装置或者器件使用或者与其结合使用的程序。
计算机可读介质上包含的程序代码可以用任何适当的介质传输，包括——但不限于无线、电线、光缆、射频(Radio Frequency，RF)等等，或者上述的任意合适的组合。
可以以一种或多种程序设计语言或其组合来编写用于执行本公开操作的计算机程序代码，所述程序设计语言包括面向对象的程序设计语言-诸如Java语言、Smalltalk语言、C++语言，还包括常规的过程式程序设计语言-诸如“C”语言或类似的程序设计语言。程序代码可以完全地在用户计算机上执行、部分地在用户计算机上执行、作为一个独立的软件包执行、部分在用户计算机上部分在远程计算机上执行、或者完全在远程计算机或服务器上执行。在涉及远程计算机的情形中，远程计算机可以通过任意种类的网络——包括局域网(LAN)或广域网(WAN)-连接到用户计算机，或者，可以连接到外部计算机(例如利用因特网服务提供商来通过因特网连接)。

Claims (12)

  1. 一种心率检测方法，包括：
    获取用户在一时间段内的心率数据和运动数据；
    根据所述运动数据确定所述用户在所述时间段内的运动状态；
    根据所述运动状态对所述心率数据进行过滤，获取心率检测结果。
  2. 根据权利要求1所述的方法，其中，所述运动数据包括以下至少之一：
    速度数据、海拔数据、体温数据以及步频数据。
  3. 根据权利要求1或2所述的方法，其中，所述根据所述运动数据确定所述用户在所述时间段内的运动状态，包括：
    根据所述用户在所述时间段内的运动数据获取所述用户在第一时间点上的第一运动数据和所述用户在第二时间点上的第二运动数据；其中，所述第一时间点和所述第二时间点为所述时间段内的任意两个时间点且所述第一时间点早于所述第二时间点；
    根据所述第一运动数据和所述第二运动数据确定所述用户在所述时间段内的运动状态。
  4. 根据权利要求3所述的方法，其中，所述根据所述第一运动数据和所述第二运动数据确定所述用户在所述时间段内的运动状态，包括：
    若所述第一运动数据的值小于或等于所述第二运动数据的值，则确定所述用户在所述时间段内的运动状态为运动加强状态；
    若所述第一运动数据的值大于所述第二运动数据的值，则确定所述用户在所述时间段内的运动状态为运动减弱状态。
  5. 根据权利要求4所述方法，其中，所述根据所述运动状态对所述心率数据进行过滤，获取心率检测结果，包括：
    若所述用户在所述时间段内的运动状态为所述运动加强状态，则从所述用户在所述时间段内的心率数据中过滤掉低于第一预设心率值的心率数据，并将过滤后的心率数据作为第一心率检测结果；
    若所述用户在所述时间段内的运动状态为所述运动减弱状态，则从所述用户在所述时间段内的心率数据中过滤掉高于第二预设心率值的心率数据，并将过滤后的心率数据作为第二心率检测结果；
    其中，所述第一预设心率值小于所述第二预设心率值。
  6. 一种心率检测装置，包括：
    获取模块，设置为获取用户在一时间段内的心率数据和运动数据；
    确定模块，设置为根据所述运动数据确定所述用户在所述时间段内的运动状态；
    检测模块，设置为根据所述运动状态对所述心率数据进行过滤，获取心率检测结果。
  7. 根据权利要求6所述的装置，其中，所述运动数据包括以下至少之一：
    速度数据、海拔数据、体温数据以及步频数据。
  8. 根据权利要求6或7所述的装置，其中，所述确定模块包括：
    获取子模块，设置为根据所述用户在所述时间段内的运动数据获取所述用户在第一时间点上的第一运动数据和所述用户在第二时间点上的第二运动数据；其中，所述第一时间点和所述第二时间点为所述时间段内的任意两个时间点且所述第一时间点早于所述第二时间点；
    确定子模块，设置为根据所述第一运动数据和所述第二运动数据确定所述用户在所述时间段内的运动状态。
  9. 根据权利要求8所述的装置，其中，所述确定子模块是设置为：
    若所述第一运动数据的值小于或等于所述第二运动数据的值，则确定所述用户在所述时间段内的运动状态为运动加强状态；若所述第一运动数据的值大于所述第二运动数据的值，则确定所述用户在所述时间段内的运动状态为运动减弱状态。
  10. 根据权利要求9所述的装置，其中，所述检测模块是设置为：
    若所述用户在所述时间段内的运动状态为所述运动加强状态，则从所述用户在所述时间段内的心率数据中过滤掉低于第一预设心率值的心率数据，并将过滤后的心率数据作为第一心率检测结果；若所述用户在所述时间段内的运动状态为所述运动减弱状态，则从所述用户在所述时间段内的心率数据中过滤掉高于第二预设心率值的心率数据，并将过滤后的心率数据作为第二心率检测结果；其中，所述第一预设心率值小于所述第二预设心率值。
  11. 一种检测设备，包括：
    一个或多个处理器；
    存储器，设置为存储一个或多个程序，
    当所述一个或多个程序被所述一个或多个处理器执行，使得所述一个或多个处理器实现如权利要求1-5中任一项所述的心率检测方法。
  12. 一种非易失性计算机存储介质，存储有计算机可执行指令，所述计算机可执行指令用于执行如权利要求1-5任一项所述的心率检测方法。
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