CN111643066A - Low-power-consumption resting heart rate detection method and wearable device - Google Patents
Low-power-consumption resting heart rate detection method and wearable device Download PDFInfo
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Abstract
The invention relates to the technical field of heart rate detection, and discloses a low-power-consumption resting heart rate detection method, which comprises the following steps: alternately setting preset opening time and preset closing time, starting a motion sensor and a heart rate sensor in the preset opening time to collect motion data and heart rate data, and closing the motion sensor and the heart rate sensor in the preset closing time; analyzing whether the user is in a first detection state or not according to the motion data and the heart rate data; when the user is not in the first detection state, analyzing whether the user is in a second detection state; when the user is not in the first detection state and the second detection state, judging that the user is in a rest state; and acquiring the heart rate data corresponding to the resting state as the resting heart rate. Correspondingly, the invention also discloses wearable equipment. The wearable device and the method not only achieve the purpose of reducing the power consumption of the wearable device, but also can obtain more accurate resting heart rate.
Description
Technical Field
The invention relates to the technical field of heart rate detection, in particular to a low-power-consumption resting heart rate detection method and wearable equipment.
Background
Resting heart rate is taken as an associated indicator in most clinical events. The resting heart rate is the number of beats per minute in a waking, inactive resting state. It is intended to conceal the heart rate not including the sleep heart rate, the exercise heart rate, and the recovery phase in which the heart rate fluctuates (e.g., the recovery process of the heart rate after a large exercise, the recovery process of the heart rate after an emotional agitation). If the heart rate under these scenarios is included, it will cause inaccuracy in the resting heart rate. Patent application publication No. CN 106343979a discloses a resting heart rate measuring method, which comprises: an enabling step, namely identifying that the user is in a sleep state, a quiet state or a low-motion state by the wearable device, and enabling resting heart rate measurement when the user is identified to be in the quiet state; a prompting step, which is used for prompting the user to measure the resting heart rate when the user is identified to be in a resting state; a starting step for starting a resting heart rate measurement by the user in case the assessment is compliant with the measurement conditions; and a measuring step of measuring an average heart rate of a predetermined period of time as the fine heart rate.
Wearable equipment often requires that the accelerometer and the heart rate module that acquire sleep state information be in the open state all the time when detecting sleep, motion and the recovery phase that the heart rate fluctuates, and the power consumption of equipment can be too high because of the incessant transmission of data information and the open state all the time of relevant sensor. As wearable devices have more and more functions and are required to be smaller in size and lighter in weight, high power consumption is also an important problem to be solved.
Therefore, how to provide the technical scheme of low-power consumption resting heart rate detection, under the low-power consumption condition that reduces wearable equipment, obtain resting heart rate information, become the technical problem that needs to solve.
Disclosure of Invention
The invention aims to provide a low-power-consumption resting heart rate detection method and wearable equipment, which not only achieve the purpose of reducing the power consumption of the wearable equipment, but also can obtain more accurate resting heart rate.
In order to achieve the above object, the present invention provides a low power consumption resting heart rate detection method, including: alternately setting preset opening time and preset closing time, starting a motion sensor and a heart rate sensor in the preset opening time to collect motion data and heart rate data, and closing the motion sensor and the heart rate sensor in the preset closing time; analyzing whether the user is in a first detection state according to the motion data and the heart rate data: a sleep state and/or a movement state; when the user is not in the first detection state, analyzing whether the user is in a second detection state: recovering state and/or non-obvious motion state after motion; when the user is not in the first detection state and the second detection state, judging that the user is in a rest state; and acquiring the heart rate data corresponding to the resting state as the resting heart rate. Based on this technical scheme, not only reached the purpose that reduces wearable device's consumption, can acquire more accurate resting heart rate moreover.
Preferably, the step S1 includes: the frequency of the alternation is set in the range of 1 time every 4 minutes to 1 time every 30 seconds.
Preferably, the step S1 includes: the proportional range of the duration of the on-time and the duration of the off-time is set to [1/10, 4/1 ].
Preferably, the step S1 further includes: setting the alternating times as N times, and acquiring motion data and heart rate data corresponding to N starting time periods; performing mean value operation on the motion data and the heart rate data corresponding to each opening time period according to the motion data and the heart rate data corresponding to the N opening time periods; and obtaining a movement variation trend and a heart rate variation trend according to the mean value operation result corresponding to each opening time period, wherein the movement variation trend comprises N average movement data corresponding to N opening time periods, and the heart rate variation trend comprises N average heart rate data corresponding to N opening time periods. According to the technical scheme, the motion sensor and the heart rate sensor are not always in the on state, and the purpose of reducing the power consumption of the wearable device is achieved.
Preferably, the step S2 includes: according to the motion change trend, if the N pieces of average motion data are all larger than a preset first motion threshold, judging that the user is in a motion state; and acquiring sleep state information according to the motion data and the heart rate data corresponding to the N starting time periods, and judging that the user is in a sleep state if the sleep state information is consistent with a preset sleep state mark. According to the technical scheme, the situation that the user is in the motion state and/or the sleep state can be accurately eliminated, the interference of motion data and heart rate data in the motion state and/or the sleep state is reduced, and the accuracy of the resting heart rate is improved.
Preferably, the step S3 includes: acquiring maximum average heart rate data according to the heart rate variation trend, and marking the starting time period corresponding to the maximum average heart rate data as an i time period; and if all the average heart rate data corresponding to all the opening time periods after the i time period are smaller than a preset first heart rate threshold value, and the average value of all the average heart rate data is smaller than a preset second heart rate threshold value, judging that the user is in an unobvious motion state. The step S3 further includes: and according to the movement change trend, if the average value of the N average movement data is greater than a preset second movement threshold value, or the first average movement data is greater than a preset third movement threshold value and the movement change trend is a descending trend, judging that the user is in a recovery state after movement. By the technical scheme, the heart rate value interfered by any one or more factors in the recovery state after the user moves and the non-obvious movement state is eliminated, and the more accurate resting heart rate can be obtained.
Preferably, the step S4 includes: and when the user is not in the second detection state, if the average motion data corresponding to each starting time period is lower than a preset fourth motion threshold and the average heart rate data corresponding to each starting time period is within a preset third heart rate threshold interval, judging that the user is in a resting state.
Preferably, the step S5 further includes: and performing alpha operation on the heart rate data corresponding to the resting state, and outputting the operated heart rate data as the resting heart rate. Through alpha operation, can revise heart rate data for the rest heart rate of acquireing is more smooth, avoids appearing the sudden change condition of rest heart rate.
To achieve the above object, the present invention provides a wearable device comprising: the device comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for alternately setting preset opening time and preset closing time, starting a motion sensor and a heart rate sensor in the preset opening time to acquire motion data and heart rate data, and closing the motion sensor and the heart rate sensor in the preset closing time; the first analysis module is used for analyzing whether the user is in a first detection state according to the motion data and the heart rate data: a sleep state and/or a movement state; the second analysis module is used for analyzing whether the user is in the second detection state when the user is not in the first detection state: recovering state and/or non-obvious motion state after motion; the third analysis module is used for judging that the user is in a rest state when the user is not in the first detection state and the second detection state; and the acquisition module is used for acquiring the heart rate data corresponding to the resting state as the resting heart rate. Based on this technical scheme, not only reached the purpose that reduces wearable device's consumption, can acquire more accurate resting heart rate moreover.
Compared with the prior art, the invention has the following beneficial effects: according to the technical scheme, the motion sensor and the heart rate sensor of the wearable device are not always in the on state, and the purpose of reducing the power consumption of the wearable device is achieved by alternately turning on and off the motion sensor and the heart rate sensor; the heart rate value interfered by any one or more factors of the user in the sleep state, the motion state, the recovery state after motion and the non-obvious motion state is eliminated, and more accurate resting heart rate can be obtained, so that the body health state of the user is evaluated according to the more accurate resting heart rate, the accuracy and the reliability of the body health state evaluation are improved, and a safer and more reliable motion mode is recommended according to the more accurate resting heart rate.
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Fig. 1 is a flow chart of a low-power consumption resting heart rate detection method according to an embodiment of the invention.
Fig. 2 is a block diagram of a wearable device according to an embodiment of the present invention.
Detailed Description
The present invention will be described in detail below with reference to specific embodiments shown in the drawings. In the drawings, structurally identical elements are represented by like reference numerals, and structurally or functionally similar elements are represented by like reference numerals throughout the several views. The size and thickness of each component shown in the drawings are arbitrarily illustrated, and the present invention is not limited to the size and thickness of each component. The thickness of the components may be exaggerated where appropriate in the figures to improve clarity.
In an embodiment of the present invention shown in fig. 1, the present invention provides a low power consumption resting heart rate detection method, including:
s1, alternately setting preset opening time and preset closing time, starting the motion sensor and the heart rate sensor in the preset opening time to collect motion data and heart rate data, and closing the motion sensor and the heart rate sensor in the preset closing time;
s2, analyzing whether the user is in a first detection state or not according to the motion data and the heart rate data: a sleep state and/or a movement state;
s3, when the user is not in the first detection state, analyzing whether the user is in a second detection state: recovering state and/or non-obvious motion state after motion;
s4, when the user is not in the first detection state and the second detection state, judging that the user is in a resting state;
and S5, obtaining the heart rate data corresponding to the resting state as the resting heart rate.
In the prior art, an integrated circuit board is arranged in the wearable device, a microprocessor is arranged on the integrated circuit board, and a motion sensor and a heart rate sensor which are connected with the microprocessor are further arranged on the integrated circuit board. The motion sensor includes an acceleration sensor, a gyroscope, and the like. The motion sensor can sense the change of the acceleration force and convert the change into an electric signal to be transmitted to the microprocessor for processing, and the microprocessor can calculate and analyze the obtained motion sensor data to obtain the motion data of the user. The heart rate sensor is capable of obtaining heart rate data for the user. Wearable devices often require that the motion sensor and the heart rate sensor be turned on all the time in order to detect a resting heart rate, thus resulting in high power consumption of the wearable device. Because the motion quantity and the heart rate of a person can not change suddenly in a short time, the person has a certain change process. Therefore, by utilizing the rule and the change process, the invention provides a technical scheme of alternately turning on and off the sensor in order to reduce the power consumption of the wearable device in the resting heart rate detection process, and the power consumption of the wearable device is reduced.
In the step S1, a predetermined on time and a predetermined off time are alternately set, the motion sensor and the heart rate sensor are turned on within the predetermined on time to collect the motion data and the heart rate data, and the motion sensor and the heart rate sensor are turned off within the predetermined off time. According to an embodiment of the present invention, the step S1 includes: the frequency of the alternation is set in the range of 1 time every 4 minutes to 1 time every 30 seconds. According to still another embodiment of the present invention, the step S1 includes: the proportional range of the duration of the on-time and the duration of the off-time is set to [1/10, 4/1 ]. In the case where the time ratio of the on time to the off time ratio is 1/10, the power consumption saved can reach 10/11, regardless of the power consumption required for the state switching, if compared with the case where the motion sensor and the heart rate sensor are always in the operating state. If the ratio is 4/1, although the energy-saving effect is not as remarkable as the ratio is smaller, the power consumption can still reach 1/5; in some cases, there is a high demand for the sensor to be switched on, and such an arrangement may be necessary. Generally, this ratio lies between 1/10 and 4/1. According to a further specific embodiment of the present invention, the off time is set to 1 minute and 40 seconds, the on time is set to 20 seconds, the frequency of the alternation is 1 time every 2 minutes, and the ratio of the duration of the on time to the off time is 1/5. Specifically, the off time is 1 minute and 40 seconds, i.e., the motion sensor and the heart rate sensor are turned on after 1 minute and 40 seconds. When the operation sensor and the heart rate sensor are started, the exercise data and the heart rate data are collected, the starting time is 20 seconds, and the collection time of the heart rate data of the exercise data is 20 seconds, namely the exercise data and the heart rate data in 20 seconds are obtained. When 20 seconds are over, the motion sensor and heart rate sensor are turned off again for 1 minute and 40 seconds. According to the technical scheme, the purpose of reducing the power consumption of the wearable device is achieved by alternately turning on and off the motion sensor and the heart rate sensor.
According to an embodiment of the present invention, the step S1 further includes: the motion data is detected by the motion sensor to obtain a corresponding peak value, and the heart rate data is detected by the heart rate sensor to obtain a corresponding peak value. For example, the peak value and the peak value corresponding to the acceleration data obtained by the detection of the acceleration sensor are used to eliminate the interference caused by the zero drift of the acceleration. And detecting a peak value corresponding to the obtained heart rate data through the heart rate sensor so as to eliminate interference caused by zero drift of the heart rate.
According to an embodiment of the present invention, the step S1 further includes: the step S1 further includes: setting the alternating times as N times, and acquiring motion data and heart rate data corresponding to N starting time periods; performing mean value operation on the motion data and the heart rate data corresponding to each opening time period according to the motion data and the heart rate data corresponding to the N opening time periods; and obtaining a movement variation trend and a heart rate variation trend according to the mean value operation result corresponding to each opening time period, wherein the movement variation trend comprises N average movement data corresponding to N opening time periods, and the heart rate variation trend comprises N average heart rate data corresponding to N opening time periods. According to an embodiment of the present invention, N is set to 10. In the above embodiment, the on time is set to 20 seconds, and the off time is set to 1 minute and 40 seconds. Specifically, after 1 minute and 40 seconds, a motion sensor and a heart rate sensor are started, motion data and heart rate data of 20 seconds are collected, then the motion sensor and the heart rate sensor are closed, after 1 minute and 40 seconds, the motion sensor and the heart rate sensor are started again, motion data and heart rate data of 20 seconds are collected continuously, then the motion sensor and the heart rate sensor are closed, the process is repeated for 10 times, and motion data and heart rate data of 10 seconds, 20 seconds and 200 seconds are collected. According to the collected motion data and heart rate data corresponding to the N opening time periods, performing mean value operation on the motion data and the heart rate data corresponding to each opening time period respectively to obtain a mean value operation result corresponding to each opening time period, and according to each mean value operation result, obtaining a motion change trend and a heart rate change trend, wherein the motion change trend comprises N opening time periods respectively corresponding to N average motion data, namely each opening time period corresponds to the motion data mean value in the opening time period, namely the average motion data, and the N opening time periods correspond to the N average motion data. The heart rate variation trend comprises N opening time periods which respectively correspond to N average heart rate data, namely each opening time period corresponds to the heart rate data mean value in the opening time period, namely the average heart rate data, and the N opening time periods correspond to the N average heart rate data. Because discontinuous exercise data and heart rate data exist in the N opening time periods, the exercise variation trend and the heart rate variation trend are obtained by utilizing the exercise data and the heart rate data. And judging whether the user is in a recovery state after exercise or an unobvious exercise state according to the exercise variation trend and the heart rate variation trend, and judging whether the user is in the exercise state by utilizing the exercise variation trend. And judging whether the user is in the sleep state or not by utilizing the sleep state information.
In step S2, it is analyzed whether the user is in a first detection state according to the motion data and the heart rate data: a sleep state and/or an exercise state. And judging whether the user is in a first detection state or not according to the collected motion data and the heart rate data, namely, whether the user is in a motion state or in a sleep state is analyzed.
According to an embodiment of the present invention, the step S2 includes: according to the motion change trend, if the N pieces of average motion data are all larger than a preset first motion threshold, judging that the user is in a motion state; and acquiring sleep state information according to the motion data and the heart rate data corresponding to the N starting time periods, and judging that the user is in a sleep state if the sleep state information is consistent with a preset sleep state mark. Because the motion data change amplitude is large in the motion state, the comparison is carried out according to a preset first motion threshold value, and whether the user is in the motion state is judged. For example, the preset first motion threshold is set to 3500, and when the N average motion data are all greater than 3500, it is determined that the user is in a motion state. And acquiring sleep state information according to the motion data and the heart rate data corresponding to the N starting time periods. The sleep state information refers to whether the user is in a sleep state or an awake state. The method comprises the steps of acquiring heart rate data samples and motion data samples of a user sleep time period, training according to the heart rate data samples and the motion data samples to obtain a corresponding sleep state recognition neural network model, and recognizing sleep state information of the user through the sleep state recognition neural network model. And if the sleep state information is consistent with a preset sleep state mark, judging that the user is in a sleep state. For example, a sleep state flag of 0 indicates an awake state, and a sleep state flag of 1 indicates a sleep state. According to the technical scheme, the situation that the user is in the motion state and/or the sleep state can be accurately eliminated, the interference of motion data and heart rate data in the motion state and/or the sleep state is reduced, and the accuracy of the resting heart rate is improved.
In step S3, when the user is not in the first detection state, whether the user is in a second detection state is analyzed: a state of recovery and/or a state of non-apparent motion after the motion. And when the user is not in the first detection state, further analyzing whether the user is in a second detection state, namely analyzing whether the user is in a recovery state after movement or in an unobvious movement state. The recovery state after the movement is a state when the user is awake after the user stops moving with large movement amplitude; an unnoticed state of motion is a state of low exercise but requiring physical activity, such as deep squat or emotional arousal recovery. Once the condition that the user is not in any one of the states is eliminated, the user is judged to be in a resting state, and the heart rate data obtained through detection is the more accurate resting heart rate.
According to an embodiment of the present invention, the step S3 includes: acquiring maximum average heart rate data according to the heart rate variation trend, and marking the starting time period corresponding to the maximum average heart rate data as an i time period; and if all the average heart rate data corresponding to all the opening time periods after the i time period are smaller than a preset first heart rate threshold value, and the average value of all the average heart rate data is smaller than a preset second heart rate threshold value, judging that the user is in an unobvious motion state. For example, the preset first heart rate threshold is set to be 0.9 times of the maximum average heart rate data, and the preset second heart rate threshold is set to be 0.8 times of the maximum average heart rate data.
According to an embodiment of the present invention, the step S3 further includes: and according to the movement change trend, if the average value of the N average movement data is greater than a preset second movement threshold value, or the first average movement data is greater than a preset third movement threshold value and the movement change trend is a descending trend, judging that the user is in a recovery state after movement. For example, the preset second motion threshold is set to 3500, and the preset third motion threshold is 2000. By the technical scheme, the heart rate value interfered by any one or more factors in the recovery state and the non-obvious motion state of the user after the user moves is eliminated, and more accurate resting heart rate can be obtained.
In the step S4, when the user is not in the first detection state and the second detection state, it is determined that the user is in a resting state. According to an embodiment of the present invention, the step S4 further includes: and when the user is not in the second detection state, if the average motion data corresponding to each starting time period is lower than a preset fourth motion threshold and the average heart rate data corresponding to each starting time period is within a preset third heart rate threshold interval, judging that the user is in a resting state. For example, the preset fourth motion threshold is 400, and the third heart rate threshold interval is 35 to 110.
In step S5, the heart rate data corresponding to the resting state is acquired as the resting heart rate. According to an embodiment of the present invention, the step S5 further includes: and performing alpha operation on the heart rate data corresponding to the resting state, and outputting the operated heart rate data as the resting heart rate. Through alpha operation, can revise heart rate data for the rest heart rate of acquireing is more smooth, avoids appearing the sudden change condition of rest heart rate.
According to the technical scheme, the aim of reducing the power consumption of the wearable equipment is fulfilled by alternately turning on and off the motion sensor and the heart rate sensor of the wearable equipment; the heart rate value interfered by any one or more factors of the user in the sleep state, the motion state, the recovery state after motion and the non-obvious motion state is eliminated, and more accurate resting heart rate can be obtained, so that the body health state of the user is evaluated according to the more accurate resting heart rate, the accuracy and the reliability of the body health state evaluation are improved, and a safer and more reliable motion mode is recommended according to the more accurate resting heart rate.
As shown in fig. 2, in another embodiment, the present invention further provides a wearable device, comprising:
the acquisition module 20 is used for alternately setting preset opening time and preset closing time, starting the motion sensor and the heart rate sensor within the preset opening time to acquire motion data and heart rate data, and closing the motion sensor and the heart rate sensor within the preset closing time;
a first analysis module 21, configured to analyze whether the user is in a first detection state according to the motion data and the heart rate data: a sleep state and/or a movement state;
a second analysis module 22, configured to, when the user is not in the first detection state, analyze whether the user is in a second detection state: recovering state and/or non-obvious motion state after motion;
the third analysis module 23 is configured to determine that the user is in a resting state when the user is not in the first detection state and the second detection state;
the obtaining module 24 is configured to obtain the heart rate data corresponding to the resting state as a resting heart rate.
The acquisition module 20 is configured to alternately set a predetermined on time and a predetermined off time, activate the motion sensor and the heart rate sensor within the predetermined on time to acquire the motion data and the heart rate data, and deactivate the motion sensor and the heart rate sensor within the predetermined off time. According to a specific embodiment of the present invention, in the acquisition module, the alternating frequency is set in the range of 1 time every 4 minutes to 1 time every 30 seconds. The proportional range of the duration of the on-time and the duration of the off-time is set to [1/10, 4/1 ]. According to a further embodiment of the invention, the off-time is set to 1 minute and 40 seconds and the on-time is set to 20 seconds. In particular, the off time is 40 seconds per minute, i.e. 40 seconds per minute the motion sensor and the heart rate sensor are switched on. When the operation sensor and the heart rate sensor are started, the exercise data and the heart rate data are collected, the starting time is 20 seconds, and the collection time of the heart rate data of the exercise data is 20 seconds, namely the exercise data and the heart rate data in 20 seconds are obtained. When 20 seconds are over, the motion sensor and heart rate sensor are turned off again for 1 minute and 40 seconds. According to the technical scheme, the purpose of reducing the power consumption of the wearable device is achieved by alternately turning on and off the motion sensor and the heart rate sensor. According to the technical scheme, the motion sensor and the heart rate sensor are not always in the on state, and the purpose of reducing the power consumption of the wearable device is achieved.
And the acquisition module sets the alternation times to be N times, and acquires the motion data and the heart rate data corresponding to N starting time periods. In order to ensure that more accurate exercise data and heart rate data are obtained, exercise data and heart rate data are repeatedly collected for multiple times. For example, N is set to 10. The acquisition module performs mean operation on the motion data and the heart rate data corresponding to each opening time period according to the motion data and the heart rate data corresponding to the N opening time periods; and obtaining a movement variation trend and a heart rate variation trend according to the mean value operation result corresponding to each opening time period, wherein the movement variation trend comprises N average movement data corresponding to N opening time periods, and the heart rate variation trend comprises N average heart rate data corresponding to N opening time periods.
The first analysis module 21 is configured to analyze whether the user is in a first detection state according to the exercise data and the heart rate data: a sleep state and/or an exercise state. According to a specific embodiment of the present invention, the second analysis module determines that the user is in a motion state according to the motion change trend if the N average motion data are all greater than a preset first motion threshold; and acquiring sleep state information according to the motion data and the heart rate data corresponding to the N starting time periods, and judging that the user is in a sleep state if the sleep state information is consistent with a preset sleep state mark.
The second analysis module 22 is configured to, when the user is not in the first detection state, analyze whether the user is in a second detection state: a state of recovery and/or a state of non-apparent motion after the motion. According to a specific embodiment of the invention, the third analysis module acquires the maximum average heart rate data according to the heart rate variation trend, and marks the starting time period corresponding to the maximum average heart rate data as the i time period; and if all the average heart rate data corresponding to all the opening time periods after the i time period are smaller than a preset first heart rate threshold value, and the average value of all the average heart rate data is smaller than a preset second heart rate threshold value, judging that the user is in an unobvious motion state. And the third analysis module judges that the user is in a recovery state after exercise if the average value of the N average exercise data is greater than a preset second exercise threshold value or the first average exercise data is greater than a preset third exercise threshold value and the exercise change trend is a descending trend according to the exercise change trend.
The third analyzing module 23 is configured to determine that the user is in the resting state when the user is not in the first detection state and the second detection state. According to a specific embodiment of the present invention, in the third analysis module, when the user is not in the second detection state, it is determined that the average exercise data corresponding to each on-time period is lower than a preset fourth exercise threshold, and the average heart rate data corresponding to each on-time period is within a preset third heart rate threshold interval, so that the user is determined to be in a resting state.
The obtaining module 24 is configured to obtain the heart rate data corresponding to the resting state as the resting heart rate. According to a specific embodiment of the present invention, the acquisition module performs alpha operation on the heart rate data corresponding to the resting state, and outputs the operated heart rate data as the resting heart rate. Through alpha operation, can revise heart rate data for the rest heart rate of acquireing is more smooth, avoids appearing the sudden change condition of rest heart rate.
According to the technical scheme, the aim of reducing the power consumption of the wearable equipment is fulfilled by alternately turning on and off the motion sensor and the heart rate sensor of the wearable equipment; the heart rate value interfered by any one or more factors of the sleep state, the exercise state, the recovery state after exercise and the non-obvious exercise state of the user is eliminated, and the more accurate resting heart rate can be obtained.
While the invention has been described in detail in the foregoing with reference to the drawings and examples, such illustration and description are to be considered illustrative or exemplary and not restrictive. The invention is not limited to the disclosed embodiments. In the claims, the word "comprising" does not exclude other elements or steps, and the word "a" or "an" or "a particular plurality" should be understood to mean at least one or at least a particular plurality. Any reference signs in the claims shall not be construed as limiting the scope. Other variations to the above-described embodiments can be understood and effected by those skilled in the art without inventive faculty, from a study of the drawings, the description and the appended claims, which will still fall within the scope of the invention as claimed.
Claims (10)
1. A low-power consumption resting heart rate detection method, the method comprising:
s1, alternately setting preset opening time and preset closing time, starting the motion sensor and the heart rate sensor in the preset opening time to collect motion data and heart rate data, and closing the motion sensor and the heart rate sensor in the preset closing time;
s2, analyzing whether the user is in a first detection state or not according to the motion data and the heart rate data: a sleep state and/or a movement state;
s3, when the user is not in the first detection state, analyzing whether the user is in a second detection state: recovering state and/or non-obvious motion state after motion;
s4, when the user is not in the first detection state and the second detection state, judging that the user is in a resting state;
and S5, obtaining the heart rate data corresponding to the resting state as the resting heart rate.
2. The low-power consumption resting heart rate detecting method according to claim 1, wherein the step S1 includes:
the frequency of the alternation is set in the range of 1 time every 4 minutes to 1 time every 30 seconds.
3. The low-power consumption resting heart rate detecting method according to claim 1, wherein the step S1 further comprises:
the proportional range of the duration of the on-time and the duration of the off-time is set to [1/10, 4/1 ].
4. The low-power consumption resting heart rate detecting method according to claim 3, wherein the step S1 further comprises:
setting the alternating times as N times, and acquiring motion data and heart rate data corresponding to N starting time periods;
performing mean value operation on the motion data and the heart rate data corresponding to each opening time period according to the motion data and the heart rate data corresponding to the N opening time periods;
and obtaining a movement variation trend and a heart rate variation trend according to the mean value operation result corresponding to each opening time period, wherein the movement variation trend comprises N average movement data corresponding to N opening time periods, and the heart rate variation trend comprises N average heart rate data corresponding to N opening time periods.
5. The low-power consumption resting heart rate detecting method according to claim 4, wherein the step S2 includes:
according to the motion change trend, if the N pieces of average motion data are all larger than a preset first motion threshold, judging that the user is in a motion state;
and acquiring sleep state information according to the motion data and the heart rate data corresponding to the N starting time periods, and judging that the user is in a sleep state if the sleep state information is consistent with a preset sleep state mark.
6. The low-power consumption resting heart rate detecting method according to claim 4, wherein the step S3 includes:
acquiring maximum average heart rate data according to the heart rate variation trend, and marking the starting time period corresponding to the maximum average heart rate data as an i time period;
and if all the average heart rate data corresponding to all the opening time periods after the i time period are smaller than a preset first heart rate threshold value, and the average value of all the average heart rate data is smaller than a preset second heart rate threshold value, judging that the user is in an unobvious motion state.
7. The low-power consumption resting heart rate detecting method according to claim 6, wherein the step S3 further comprises:
and according to the movement change trend, if the average value of the N average movement data is greater than a preset second movement threshold value, or the first average movement data is greater than a preset third movement threshold value and the movement change trend is a descending trend, judging that the user is in a recovery state after movement.
8. The low-power consumption resting heart rate detecting method according to claim 4, wherein the step S4 includes:
and when the user is not in the second detection state, if the average motion data corresponding to each starting time period is lower than a preset fourth motion threshold and the average heart rate data corresponding to each starting time period is within a preset third heart rate threshold interval, judging that the user is in a resting state.
9. The low-power consumption resting heart rate detecting method according to claim 1, wherein the step S5 further comprises:
and performing alpha operation on the heart rate data corresponding to the resting state, and outputting the operated heart rate data as the resting heart rate.
10. A wearable device, comprising:
the device comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for alternately setting preset opening time and preset closing time, starting a motion sensor and a heart rate sensor in the preset opening time to acquire motion data and heart rate data, and closing the motion sensor and the heart rate sensor in the preset closing time;
the first analysis module is used for analyzing whether the user is in a first detection state according to the motion data and the heart rate data: a sleep state and/or a movement state;
the second analysis module is used for analyzing whether the user is in the second detection state when the user is not in the first detection state: recovering state and/or non-obvious motion state after motion;
the third analysis module is used for judging that the user is in a rest state when the user is not in the first detection state and the second detection state;
and the acquisition module is used for acquiring the heart rate data corresponding to the resting state as the resting heart rate.
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