CN117426755A - Sleep monitoring method and device and intelligent equipment - Google Patents
Sleep monitoring method and device and intelligent equipment Download PDFInfo
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
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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
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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- 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
- A61B5/1113—Local tracking of patients, e.g. in a hospital or private home
- A61B5/1115—Monitoring leaving of a patient support, e.g. a bed or a wheelchair
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- A—HUMAN NECESSITIES
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Abstract
The application provides a sleep monitoring method, a sleep monitoring device and intelligent equipment, wherein the sleep monitoring method comprises the following steps: acquiring piezoelectric signals acquired by a piezoelectric unit in a preset period; determining an amplitude of the piezoelectric signal based on a first range of the piezoelectric signal and a first amplitude of background noise; different judging results correspond to different numbers of removed extreme values; based on the amplitude of the piezoelectric signal, the sleep state of the user is analyzed. The sleep monitoring method, the sleep monitoring device and the intelligent equipment are used for improving the accuracy of the intelligent equipment on the sleep monitoring result of the user.
Description
Technical Field
The application relates to the field of sleep monitoring, in particular to a sleep monitoring method, a sleep monitoring device and intelligent equipment.
Background
Sleep monitoring is a means of analyzing sleep conditions based on accurate physiological data, which can be represented by piezoelectric signals. The turning over, heartbeat, breathing and the like of the user in the sleeping process can be detected by the piezoelectric unit of the piezoelectric sensor, and corresponding piezoelectric signals are generated.
However, due to the situation that the user turns over or the like, there is a situation that the user gets far from the piezoelectric sensor during sleep, even beyond the detection range of the piezoelectric sensor. In this case, it is difficult for the piezoelectric sensor to acquire accurate user information, and it is easy to recognize a weaker piezoelectric signal as the user gets out of the bed, resulting in a decrease in accuracy of the sleep monitoring result.
Disclosure of Invention
The purpose of the application is to provide a sleep monitoring method, a sleep monitoring device and intelligent equipment, which are used for improving the accuracy of the intelligent equipment on the sleep monitoring result of a user.
The application provides a sleep monitoring method, comprising the following steps:
acquiring piezoelectric signals acquired by a piezoelectric unit in a preset period; determining an amplitude of the piezoelectric signal based on a first range of the piezoelectric signal and a first amplitude of background noise; based on the amplitude of the piezoelectric signal, the sleep state of the user is analyzed.
Optionally, the determining the amplitude of the piezoelectric signal according to the first polar difference of the piezoelectric signal and the first amplitude of the background noise includes: if the first range of the piezoelectric signal does not meet a first judgment condition, determining the first range as the amplitude of the piezoelectric signal; otherwise, determining the amplitude of the piezoelectric signal after removing the extreme value in the piezoelectric signal based on the judgment result of the first polar difference of the second judgment condition; wherein, the number of the removed extreme values is different corresponding to different judging results; the first judgment condition is as follows: the first margin is less than or equal to a first target parameter; the second judging condition is as follows: the first margin is less than or equal to a second target parameter; the first target parameter is the product of the first amplitude and a first multiple threshold; the second target parameter is the product of the first amplitude and a second multiple threshold; the first amplitude is the amplitude of background noise generated by a background environment; the first multiple threshold and the second multiple threshold are both greater than 1, and the first multiple threshold is greater than the second multiple threshold.
Optionally, the removing the extremum in the piezoelectric signal based on the second determination condition for the first range includes: executing a first-time number preset processing method if the first range is smaller than or equal to the second target parameter under the condition that the first range is smaller than or equal to the first target parameter; otherwise, executing the preset processing method for the second time; the preset processing method is used for removing the maximum value and the minimum value in the piezoelectric signal; the first number is less than the second number.
Optionally, the determining the amplitude of the piezoelectric signal includes: calculating the difference between the piezoelectric signal with the largest amplitude and the piezoelectric signal with the smallest amplitude in the piezoelectric signals after the preset processing method is executed, so as to obtain a second difference; if the second difference is smaller than or equal to a third target parameter, determining the first amplitude as the amplitude of the piezoelectric signal; otherwise, determining the second pole difference as the amplitude of the piezoelectric signal; wherein the third target parameter is: the product of the second range and a third threshold; under the condition that the user is not out of bed, the third multiplier threshold is a first multiplier; under the condition that the user is judged to leave the bed, the third multiplier threshold value is a second multiplier; the first multiple and the second multiple are both greater than 1, and the first multiple is less than the second multiple.
Optionally, after the determining the amplitude of the piezoelectric signal, the method further comprises: setting a target mark to a first state and resetting a count variable to a constant when the amplitude of the piezoelectric signal is greater than a fourth target parameter; wherein the fourth target parameter is the product of the first amplitude and a fourth multiple threshold; the comparison result of the first range and the fourth target parameter is used for indicating whether the gesture of the user is changed to a large extent; the first state is used for indicating that the user is not out of bed; the constant is determined based on a ratio of a preset deep sleep duration to the preset period; the constant is greater than 1.
Optionally, after the determining the amplitude of the piezoelectric signal, the method further comprises: subtracting 1 from the value of the count variable if the target is identified as a first state; if the value of the counting variable is 1, setting the target mark to a second state; wherein the second state is indicative of the user getting out of bed.
Optionally, after the determining the amplitude of the piezoelectric signal, the method further comprises: gradually reducing the value of a target multiple threshold value under the condition that the duration time of triggering the target mark to be in the second state is longer than the preset deep sleep duration time until the amplitude of the piezoelectric signal is not the first amplitude; wherein the target multiple threshold comprises at least one of: the second multiple threshold and the fourth multiple threshold.
Optionally, the analyzing the sleep state of the user based on the amplitude of the piezoelectric signal includes: determining a sleep time of the user based on the amplitude of the piezoelectric signal; after analyzing the sleep state of the user based on the amplitude of the piezoelectric signal, the method further comprises: acquiring duration time for triggering the target mark as the second state and the number of fragments for triggering the target mark as the second state in the sleeping time; scoring the intelligent equipment according to the duration time and the fragment times, and determining the monitoring quality of the intelligent equipment according to the scoring result; the longer the duration time for triggering the target mark as the second state is, the more the number of times for triggering the target mark as the second state is, the lower the score is.
The application also provides a sleep monitoring device, comprising:
the acquisition module is used for acquiring piezoelectric signals acquired by the piezoelectric unit in a preset period; a determining module, configured to determine an amplitude of the piezoelectric signal according to a first polar difference of the piezoelectric signal and a first amplitude of background noise; and the analysis module is used for analyzing the sleep state of the user based on the amplitude of the piezoelectric signal.
Optionally, the determining module is specifically configured to determine the first range as the amplitude of the piezoelectric signal when the first range is greater than the first target parameter.
Optionally, the apparatus further comprises: a processing module; the processing module is configured to execute a first-time preset processing method if the first range is less than or equal to the second target parameter if the first range is less than or equal to the first target parameter; otherwise, executing the preset processing method for the second time; the preset processing method is used for removing the maximum value and the minimum value in the piezoelectric signal; the first number is less than the second number.
Optionally, the apparatus further comprises: a computing module; the computing module is used for computing the difference between the piezoelectric signal with the largest amplitude and the piezoelectric signal with the smallest amplitude in the piezoelectric signals after the preset processing method is executed to obtain a second pole difference; the determining module is specifically configured to determine the first amplitude as the amplitude of the piezoelectric signal if the second difference is less than or equal to a third target parameter; otherwise, determining the second pole difference as the amplitude of the piezoelectric signal; wherein the third target parameter is: the product of the second range and a third threshold; under the condition that the user is not out of bed, the third multiplier threshold is a first multiplier; under the condition that the user is judged to leave the bed, the third multiplier threshold value is a second multiplier; the first multiple and the second multiple are both greater than 1, and the first multiple is less than the second multiple.
Optionally, the apparatus further comprises: setting a module; the setting module is used for setting the target mark to be in a first state and resetting the counting variable to be a constant under the condition that the amplitude of the piezoelectric signal is larger than a fourth target parameter; wherein the fourth target parameter is the product of the first amplitude and a fourth multiple threshold; the comparison result of the first range and the fourth target parameter is used for indicating whether the gesture of the user is changed to a large extent; the first state is used for indicating that the user is not out of bed; the constant is determined based on a ratio of a preset deep sleep duration to the preset period; the constant is greater than 1.
Optionally, the setting module is further configured to decrease the value of the counting variable by 1 if the target is identified as the first state; the setting module is further configured to set the target identifier to a second state if the value of the count variable is 1; wherein the second state is used for indicating that the user leaves the bed
Optionally, the setting module is further configured to gradually decrease the value of the target multiple threshold value until the amplitude of the piezoelectric signal is not the first amplitude, where the duration of triggering the target mark to be the second state is greater than the preset deep sleep duration; wherein the target multiple threshold comprises at least one of: the second multiple threshold and the fourth multiple threshold.
Optionally, the determining module is further configured to determine a sleep time of the user based on the amplitude of the piezoelectric signal; the acquisition module is further configured to acquire duration time for triggering the target identifier to be in the second state and number of times for triggering the target identifier to be in the second state in the sleep time; the determining module is further configured to score the intelligent device according to the duration and the number of segments, and determine the monitoring quality of the intelligent device according to the scoring result; the longer the duration time for triggering the target mark as the second state is, the more the number of times for triggering the target mark as the second state is, the lower the score is.
The present application also provides a computer program product comprising computer programs/instructions which when executed by a processor implement the steps of a sleep monitoring method as described in any of the above.
The application also provides an intelligent device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the sleep monitoring method as described in any one of the above when executing the program.
The present application also provides a computer readable storage medium having stored thereon a computer program which when executed by a processor implements the steps of the sleep monitoring method as described in any of the above.
According to the sleep monitoring method, the sleep monitoring device and the intelligent equipment, when a user is monitored, firstly, piezoelectric signals collected by the piezoelectric unit in a preset period are obtained, and then, the amplitude of the piezoelectric signals is determined according to the first range of the piezoelectric signals and the first amplitude of background noise. Finally, based on the amplitude of the piezoelectric signal, the sleep state of the user is analyzed. Therefore, after the amplitude of the piezoelectric signal is adjusted based on the background noise and the first range, the intelligent equipment can monitor the sleep of the user more accurately.
Drawings
In order to more clearly illustrate the technical solutions of the present application or the prior art, the following description will briefly introduce the drawings used in the embodiments or the description of the prior art, and it is obvious that, in the following description, the drawings are some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic view of an application scenario of a sleep monitoring device provided in the present application;
FIG. 2 is a flow chart of a sleep monitoring method provided in the present application;
FIG. 3 is a second flow chart of the sleep monitoring method provided in the present application;
FIG. 4 is a schematic diagram of different classes of piezoelectric signals provided herein;
fig. 5 is a schematic structural diagram of a sleep monitoring apparatus provided in the present application;
fig. 6 is a schematic structural diagram of the smart device provided in the present application.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the present application more apparent, the technical solutions in the present application will be clearly and completely described below with reference to the drawings in the present application, and it is apparent that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
The terms first, second and the like in the description and in the claims, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged, as appropriate, such that embodiments of the present application may be implemented in sequences other than those illustrated or described herein, and that the objects identified by "first," "second," etc. are generally of a type and not limited to the number of objects, e.g., the first object may be one or more. Furthermore, in the description and claims, "and/or" means at least one of the connected objects, and the character "/", generally means that the associated object is an "or" relationship.
In the related art, a smart device (e.g., a sleep box) may monitor a user's sleep process by collecting a piezoelectric signal. As shown in fig. 1, the sleeping box can be placed between the pillow and the mattress, and the piezoelectric sensor arranged at the center position (stress point N) of the sleeping box is used for collecting tiny pressure change of a user during sleeping, so as to generate a piezoelectric signal. By analyzing the piezoelectric signals, the characteristics of turning over, heartbeat, breathing and the like of the user can be identified.
However, taking the piezoelectric type sleep box as shown in fig. 1 as an example, the signal quality is affected by the lateral distance L and the longitudinal distance D of the head from the sleep box. When a user turns over (e.g., turns over to the left), the lateral offset distance between the stress point N of the sleeping box and the stress point M of the head of the user relative to the pillow is S. In this case, the piezoelectric signal strength collected by the sleep box may be weak due to the fact that the signal source (the head of the user) is far away from the effective receiving range of the piezoelectric sensor, and in this case, it will be difficult to capture accurate information of the user. And under the condition of a signal intensity threshold value, weak signals are easy to identify as getting out of bed, and the quality and accuracy of sleep monitoring are seriously affected.
Aiming at the technical problems in the related art, the embodiment of the application thinks that the judgment of the sleep event can be carried out by introducing the judgment mark of whether the user leaves the bed, so as to realize the accurate analysis of the sleep state in the weak signal scene.
The sleep monitoring method provided by the embodiment of the application is described in detail below through specific embodiments and application scenes thereof with reference to the accompanying drawings.
As shown in fig. 2, a sleep monitoring method provided in an embodiment of the present application may include the following steps 201 to 203:
step 201, acquiring a piezoelectric signal acquired by a piezoelectric unit in a preset period.
The piezoelectric unit may be a piezoelectric sensor provided in the smart device, for example. Piezoelectric sensors are sensors based on the piezoelectric effect. Is a self-generating and electromechanical conversion sensor. Its sensitive element is made of piezoelectric material. The piezoelectric material generates charges on the surface after being stressed, and the charges are amplified and converted into electric quantity output in direct proportion to the applied external force by the charge amplifier and the measuring circuit.
For example, in order to output the amplitude corresponding to a group of piezoelectric signals as an output value after a series of condition determination is performed on the range of the piezoelectric signal with the largest amplitude and the piezoelectric signal with the smallest amplitude in the piezoelectric signals in the subsequent steps, the piezoelectric signals need to be periodically acquired according to a preset period, and all the piezoelectric signals acquired in one period are taken as a group.
It should be noted that, in general, the piezoelectric sensor (piezoelectric unit) may collect piezoelectric signals at a fixed frequency, for example, 20 Hz, that is, output 20 piezoelectric signals per second. The preset period may be 5s or 10 seconds, that is, 100 piezoelectric signals or 200 piezoelectric signals may be output in the preset period. Then, the above 100 (or 200) piezoelectric signals are taken as a group, and the amplitude of one amplitude is outputted.
Step 202, determining the amplitude of the piezoelectric signal according to the first polar difference of the piezoelectric signal and the first amplitude of the background noise.
The first range is the difference between the piezoelectric signal with the largest amplitude and the piezoelectric signal with the smallest amplitude acquired by the piezoelectric unit in the preset period; the way in which the amplitude of the piezoelectric signal is determined in the event that the presence of a person is detected is different from the way in which the amplitude of the piezoelectric signal is determined in the event that the presence of a person is not detected.
It will be appreciated that in order to improve the accuracy of the monitoring results, it is also necessary to take into account the presence and absence of persons. When a person exists, the piezoelectric signal with lower amplitude and higher than the first amplitude of the background noise can be properly amplified to improve the accuracy of the result; when a person is not present, the piezoelectric signal having a higher amplitude than the first amplitude of the background noise may be suitably scaled down to avoid identifying an invalid signal generated by a non-user sleep process as an valid signal generated by a user sleep process.
Specifically, the step 202 may include the following step 202a:
202a, if the first range of the piezoelectric signal does not meet a first judgment condition, determining the first range as the amplitude of the piezoelectric signal; otherwise, determining the amplitude of the piezoelectric signal after removing the extreme value in the piezoelectric signal based on the determination result of the first polar difference of the second determination condition.
Wherein, the number of the corresponding removal extremum of different judging results is different. The first judgment condition is as follows: the first margin is less than or equal to a first target parameter; the second judging condition is as follows: the first margin is less than or equal to a second target parameter; the first target parameter is the product of the first amplitude and a first multiple threshold; the second target parameter is the product of the first amplitude and a second multiple threshold; the first amplitude is the amplitude of background noise generated by a background environment; the first multiple threshold and the second multiple threshold are both greater than 1, and the first multiple threshold is greater than the second multiple threshold.
The comparison of the first margin with the first target parameter is used for indicating whether the piezoelectric unit detects a large vibration, and if so, the result indicates that the surrounding environment (on the mattress) is necessarily artificially active. The comparison result of the first range and the second target parameter is used for distinguishing the intensity of the piezoelectric signal, and the quantity of the piezoelectric signal which can only be removed from the extremum can be determined by judging the intensity of the piezoelectric signal.
Illustratively, as shown in fig. 3, background noise is also required as a reference before the piezoelectric signal is evaluated. I.e. the piezo-element may collect the background noise of the surrounding environment before the user falls asleep and obtain an average value A1 of the amplitudes of the background noise, i.e. the first amplitude described above.
Illustratively, as shown in fig. 3, after the piezoelectric signals acquired in the above-described preset period are acquired, the piezoelectric signal having the largest amplitude and the piezoelectric signal having the smallest amplitude among the piezoelectric signals are determined, and the absolute value D1 of the difference thereof is determined as the above-described first extreme difference.
Illustratively, as shown in fig. 4, the first range may be divided into three types: type a, type B, and type C. Wherein, the type A is background noise, that is, the amplitude of the piezoelectric signal is the same as or has smaller difference with the amplitude of the background noise, at this time, the piezoelectric signal can be determined to be the background noise, and the user is in an out-of-bed state at this time; the type B is a piezoelectric signal generated by leading larger vibration, and can be generated under the condition of abrupt changes of pressure when a user turns over and gets into bed to fall asleep; type C is a signal generated by weak pressure changes such as pulse beat and respiration of a user, and type C is an effective signal for monitoring the sleep state of the user.
It will be appreciated that the signal corresponding to type C shown in fig. 4 has a smaller amplitude difference from the background noise, and that the amplitude of the acquired piezoelectric signal differs less from the amplitude of the background noise in the case where the user is farther from the piezoelectric unit. Thus, the introduction of a user presence identification may be considered, thereby improving the accuracy of the weak signal identification. I.e. in case it is determined that the user is in bed, the threshold of signal detection is lowered to identify a weak signal, which is distinguished from background noise, as a valid signal generated when the user sleeps.
The collected piezoelectric signal is first determined by a first determination condition, and if the first range does not satisfy the first determination condition, the first range is determined as the amplitude of the piezoelectric signal.
Specifically, the step 202 may include the following step 202a:
step 202a, determining the first range as an amplitude of the piezoelectric signal if the first range is greater than the first target parameter.
Illustratively, as shown in fig. 3, the first target parameter is a product of a first amplitude A1 of the background noise and a first multiple threshold T1, which may be set to a larger value, for example, 8. I.e. the first margin is greater than 8 times the first amplitude, it can be determined that the piezoelectric signal is generated by the user, e.g. in case of a turn-over or a change of body posture of a larger magnitude.
For example, as shown in fig. 3, in the case where the first limit D1 is smaller than or equal to T1 times the first amplitude A1, it is necessary to further judge the intensity of the piezoelectric signal by the second judgment condition. Meanwhile, in order to avoid signal interference, extreme values (including maximum and minimum values) in the piezoelectric signal need to be removed.
Specifically, the step 202 may further include the following step 202b:
step 202b, executing a first-time preset processing method if the first range is smaller than or equal to the second target parameter if the first range is smaller than or equal to the first target parameter; otherwise, executing the preset processing method for the second time.
The preset processing method is used for removing the maximum value and the minimum value in the piezoelectric signal; the first number is less than the second number.
For example, in the case where the first range satisfies the first judgment condition (i.e., the first range is smaller than or equal to the first target parameter), the number of times the preset processing method is executed needs to be determined based on the result of comparison of the second target parameter and the first range. When the preset processing method is executed, the maximum value of the amplitude and the minimum value of the amplitude in the piezoelectric signal are removed.
For example, as shown in fig. 3, if the first margin is less than or equal to the second target parameter (i.e., d1+.a1+.t1), the preset processing method needs to be performed twice (i.e., the first time), and the maximum value and the sub-maximum value, and the minimum value and the sub-minimum value in the piezoelectric signal are removed as a result of the execution. If the first margin is greater than the second target parameter (i.e., D1 > a1×t1), the preset processing method is performed five times (i.e., the second time), and the execution result is to remove the 5 piezoelectric signals with the largest amplitude and the 5 piezoelectric signals with the smallest amplitude from the piezoelectric signals.
It can be understood that if the first range is smaller than or equal to the second target parameter, the signal strength of the piezoelectric signal is weak, and only a small amount of extremum signals need to be removed at this time, so that the influence caused by the extremum signals can be effectively reduced; if the first range is greater than the second target parameter, the signal strength of the piezoelectric signal is stronger, and more extreme value signals need to be removed at this time, so as to reduce the influence caused by the extreme value signals.
For example, after the extremum signal in the piezoelectric signal is removed, the absolute value of the difference between the maximum value of the amplitude and the minimum value of the amplitude in the piezoelectric signal, i.e., the second maximum difference, needs to be calculated again.
Specifically, the step 202 may further include the following steps 202c1 and 202c2:
step 202c1, calculating the difference between the piezoelectric signal with the largest amplitude and the piezoelectric signal with the smallest amplitude in the piezoelectric signals after the preset processing method is executed, so as to obtain a second step difference.
Step 202c2, if the second difference is less than or equal to a third target parameter, determining the first amplitude as the amplitude of the piezoelectric signal; otherwise, the second pole difference is determined as the amplitude of the piezoelectric signal.
Wherein the third target parameter is: the product of the second range and a third threshold; under the condition that the user is not out of bed, the third multiplier threshold is a first multiplier; under the condition that the user is judged to leave the bed, the third multiplier threshold value is a second multiplier; the first multiple and the second multiple are both greater than 1, and the first multiple is less than the second multiple.
Illustratively, as shown in fig. 3, the absolute value of the difference between the maximum amplitude and the minimum amplitude of the piezoelectric signal after the extremum is removed, that is, the second polar difference D2 is calculated, and if the second polar difference D2 is less than or equal to the product of the first amplitude and the third threshold value (d2+.a1×t3), the first amplitude is determined as the amplitude of the piezoelectric signal, and this represents that the piezoelectric signal is the piezoelectric signal generated by the background noise; in case the second difference is larger than the product of the first amplitude and the third threshold (D2 > A1 x T3), the second difference may be determined as the amplitude of the piezoelectric signal.
Illustratively, as shown in fig. 3, the value of T3 (i.e. the third-fold threshold described above) may be determined by the presence of a person identifying FlagP. When flagp=1, indicating that the user is in bed (human present), T3 may be set to a smaller value, for example t3=1.1, to avoid determining a weak signal as a valid signal; when flagp=0, indicating that the user is out of bed (no person is present), T3 may be set to a larger value, for example t3=1.8, to avoid recognizing the weak signal generated by the user sleeping process as a piezoelectric signal generated by the background noise.
Step 203, analyzing the sleep state of the user based on the amplitude of the piezoelectric signal.
For example, after determining the amplitude of the piezoelectric signal, the sleep state of the user may be analyzed based on the amplitude of the piezoelectric signal.
It will be appreciated that a single amplitude is not able to analyze the sleep state of the user, and therefore, it is necessary to determine the amplitudes of all the piezoelectric signals during sleep of the user according to the above steps, and then analyze the sleep state of the user according to the amplitudes.
Alternatively, in the embodiment of the present application, the person presence flag shown in fig. 3 may be adjusted according to the current out-of-bed state of the user by whether or not a piezoelectric signal of a larger amplitude is generated.
Illustratively, after the step 202, the sleep monitoring method provided in the embodiment of the present application may further include the following step 204:
step 204, setting the target mark to the first state and resetting the counting variable to a constant when the amplitude of the piezoelectric signal is larger than the fourth target parameter.
Wherein the fourth target parameter is the product of the first amplitude and a fourth multiple threshold; the comparison result of the first range and the fourth target parameter is used for indicating whether the gesture of the user is changed to a large extent; the first state is used for indicating that the user is not out of bed; the constant is determined based on a ratio of a preset deep sleep duration to the preset period; the constant is greater than 1.
For example, after determining the amplitude of the piezoelectric signal, if the amplitude of the piezoelectric signal is greater than the product of the first amplitude and the fourth multiple threshold, the target flag (flagp=1) needs to be set to a first state (flagp=1) indicating that the user is in a non-bed (in-bed) state, regardless of the state in which the target flag is currently in. At the same time, it is also necessary to reset the technical variable to a constant determined based on the ratio of the preset deep sleep duration to the preset period.
For example, taking the preset period of 10 seconds(s) and the preset deep sleep duration of 1 hour (h) as an example, the constant is: 3600/10=360, meaning that during a preset deep sleep, the amplitude of 360 piezoelectric signals can be output. Typically, the duration of deep sleep is short, and when the user is in a deep sleep state, the body is in a stationary state.
For example, after determining the amplitude of the piezoelectric signal, it is further required to determine whether the target flag is in the first state, and if the target flag is in the first state, it is required to decrease the value of the count variable by 1.
Illustratively, after the step 202, the sleep monitoring method provided in the embodiment of the present application may further include the following steps 205 and 206:
step 205, in case the target is identified as the first state, subtracting 1 from the value of the counting variable.
Step 206, if the value of the counting variable is 1, the target identifier is set to a second state.
Wherein the second state is indicative of the user getting out of bed.
For example, when the above-mentioned count variable is 1, which indicates that the user has not detected a large motion when the preset deep sleep period has been exceeded, it may be determined that the user has gone out of bed, and the target flag needs to be set to the second state, i.e., flagp=0. When the amplitude of the piezoelectric signal is calculated next time, it is necessary to adjust the third threshold value according to the target mark and calculate the amplitude of the piezoelectric signal according to the adjusted third threshold value.
Alternatively, in the embodiment of the present application, if the user is not detected to be in bed for a long time, the value of the threshold may be appropriately reduced to improve the detection accuracy.
Illustratively, after the step 202, the sleep monitoring method provided in the embodiment of the present application may further include the following step 207:
step 207, step-down the value of the target multiple threshold value until the amplitude of the piezoelectric signal is not the first amplitude, where the duration of triggering the target mark as the second state is greater than the preset deep sleep duration.
Wherein the target multiple threshold comprises at least one of: the second multiple threshold and the fourth multiple threshold.
For example, the second multiple threshold is used to calculate a second target parameter, where the second target parameter is used to distinguish between the intensity of the piezoelectric signal, and decreasing the second multiple threshold can divide the piezoelectric signal with weaker signal intensity into piezoelectric signals with higher intensity, and identify the piezoelectric signals as valid signals generated during sleep of the user.
Illustratively, the fourth multiple threshold is used for identifying whether the user is in bed, and the value of the fourth multiple threshold is appropriately reduced, so that the accuracy of identifying that the user is in bed can be improved.
Optionally, in the embodiment of the present application, the smart device may be further scored according to a duration of time when the trigger target identifier is in the second state and the number of segments when the trigger target identifier is in the second state.
Illustratively, the step 203 may include the following step 203a:
step 203a, determining the sleeping time of the user based on the amplitude of the piezoelectric signal.
Illustratively, based on the step 203a, the sleep monitoring method provided in the embodiment of the present application may further include the following steps 208 and 209:
step 208, acquiring duration time of triggering the target mark as the second state in the sleep time, and triggering the number of fragments of the target mark as the second state.
And 209, scoring the intelligent equipment according to the duration time and the fragment times, and determining the monitoring quality of the intelligent equipment according to the scoring result.
The longer the duration time for triggering the target mark as the second state is, the more the number of fragments for triggering the target mark as the second state is, and the lower the score is.
For example, if the flag p=0 segment lasts for a long time, it indicates that there may be an abnormality in the smart device, resulting in a failure to monitor the signal that the user is in bed, at which time the user may be reminded to replace the device to prevent collection of invalid or low quality data, and the sleep report generated based on the data lacks guiding significance.
In the sleep monitoring method provided by the embodiment of the application, when a user is subjected to sleep monitoring, firstly, piezoelectric signals acquired by a piezoelectric unit in a preset period are acquired, and then, if the first range of the piezoelectric signals does not meet a first judgment condition, the amplitude of the piezoelectric signals is determined by the first range; otherwise, determining the amplitude of the piezoelectric signal after removing the extreme value in the piezoelectric signal based on the judgment result of the first polar difference of the second judgment condition; different judging results correspond to different numbers of the removed extreme values. Finally, based on the amplitude of the piezoelectric signal, the sleep state of the user is analyzed. Therefore, the result of the sleep monitoring of the user by the intelligent equipment can be more accurate based on the background noise and the amplitude of the piezoelectric signal determined by the corresponding judgment conditions.
It should be noted that, in the sleep monitoring method provided in the embodiment of the present application, the execution body may be a sleep monitoring device, or a control module in the sleep monitoring device for executing the sleep monitoring method. In the embodiment of the present application, a sleep monitoring device executes a sleep monitoring method as an example, and the sleep monitoring device provided in the embodiment of the present application is described.
In the embodiment of the application, the method is shown in the drawings. The sleep monitoring method is exemplified by a drawing in combination with the embodiment of the application. In specific implementation, the sleep monitoring method shown in the above method drawings may also be implemented in combination with any other drawing that may be combined and is illustrated in the above embodiment, and will not be repeated here.
The sleep monitoring device provided by the application is described below, and the sleep monitoring method described below and the sleep monitoring method described above can be referred to correspondingly.
Fig. 5 is a schematic structural diagram of a sleep monitoring device according to an embodiment of the present application, as shown in fig. 4, specifically including:
the acquisition module 501 is configured to acquire a piezoelectric signal acquired by the piezoelectric unit in a preset period; a determining module 502, configured to determine an amplitude of the piezoelectric signal according to a first polar difference of the piezoelectric signal and a first amplitude of background noise; an analysis module 503, configured to analyze a sleep state of the user based on the amplitude of the piezoelectric signal.
Optionally, the determining module 502 is specifically configured to determine the first range as the amplitude of the piezoelectric signal when the first range is greater than the first target parameter.
Optionally, the apparatus further comprises: a processing module; the processing module is configured to execute a first-time preset processing method if the first range is less than or equal to the second target parameter if the first range is less than or equal to the first target parameter; otherwise, executing the preset processing method for the second time; the preset processing method is used for removing the maximum value and the minimum value in the piezoelectric signal; the first number is less than the second number.
Optionally, the apparatus further comprises: a computing module; the computing module is used for computing the difference between the piezoelectric signal with the largest amplitude and the piezoelectric signal with the smallest amplitude in the piezoelectric signals after the preset processing method is executed to obtain a second pole difference; the determining module 502 is specifically configured to determine the first amplitude as the amplitude of the piezoelectric signal if the second difference is less than or equal to a third target parameter; otherwise, determining the second pole difference as the amplitude of the piezoelectric signal; wherein the third target parameter is: the product of the second range and a third threshold; under the condition that the user is not out of bed, the third multiplier threshold is a first multiplier; under the condition that the user is judged to leave the bed, the third multiplier threshold value is a second multiplier; the first multiple and the second multiple are both greater than 1, and the first multiple is less than the second multiple.
Optionally, the apparatus further comprises: setting a module; the setting module is used for setting the target mark to be in a first state and resetting the counting variable to be a constant under the condition that the amplitude of the piezoelectric signal is larger than a fourth target parameter; wherein the fourth target parameter is the product of the first amplitude and a fourth multiple threshold; the comparison result of the first range and the fourth target parameter is used for indicating whether the gesture of the user is changed to a large extent; the first state is used for indicating that the user is not out of bed; the constant is determined based on a ratio of a preset deep sleep duration to the preset period; the constant is greater than 1.
Optionally, the setting module is further configured to decrease the value of the counting variable by 1 if the target is identified as the first state; the setting module is further configured to set the target identifier to a second state if the value of the count variable is 1; wherein the second state is used for indicating that the user leaves the bed
Optionally, the setting module is further configured to gradually decrease the value of the target multiple threshold value until the amplitude of the piezoelectric signal is not the first amplitude, where the duration of triggering the target mark to be the second state is greater than the preset deep sleep duration; wherein the target multiple threshold comprises at least one of: the second multiple threshold and the fourth multiple threshold.
Optionally, the determining module 502 is further configured to determine a sleep time of the user based on the amplitude of the piezoelectric signal; the obtaining module 501 is further configured to obtain duration time for triggering the target identifier to be in the second state and number of times for triggering the target identifier to be in the segment of the second state in the sleep time; the determining module 502 is further configured to score the intelligent device according to the duration and the number of segments, and determine a monitoring quality of the intelligent device according to a scoring result; the longer the duration time for triggering the target mark as the second state is, the more the number of times for triggering the target mark as the second state is, the lower the score is.
When a user is monitored during sleep, firstly acquiring piezoelectric signals acquired by the piezoelectric unit in a preset period, and then determining the amplitude of the piezoelectric signals by the first range if the first range of the piezoelectric signals does not meet a first judgment condition; otherwise, determining the amplitude of the piezoelectric signal after removing the extreme value in the piezoelectric signal based on the judgment result of the first polar difference of the second judgment condition; different judging results correspond to different numbers of the removed extreme values. Finally, based on the amplitude of the piezoelectric signal, the sleep state of the user is analyzed. Therefore, the result of the sleep monitoring of the user by the intelligent equipment can be more accurate based on the background noise and the amplitude of the piezoelectric signal determined by the corresponding judgment conditions.
Fig. 6 illustrates a schematic physical structure of a smart device, as shown in fig. 6, where the smart device may include: processor 610, communication interface (Communications Interface) 620, memory 630, and communication bus 640, wherein processor 610, communication interface 620, and memory 630 communicate with each other via communication bus 640. The processor 610 may invoke logic instructions in the memory 630 to perform a sleep monitoring method comprising: acquiring piezoelectric signals acquired by a piezoelectric unit in a preset period; determining an amplitude of the piezoelectric signal based on a first range of the piezoelectric signal and a first amplitude of background noise; based on the amplitude of the piezoelectric signal, the sleep state of the user is analyzed.
Further, the logic instructions in the memory 630 may be implemented in the form of software functional units and stored in a computer-readable storage medium when sold or used as a stand-alone product. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In another aspect, the present application also provides a computer program product comprising a computer program stored on a computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, enable the computer to perform the sleep monitoring method provided by the above methods, the method comprising: acquiring piezoelectric signals acquired by a piezoelectric unit in a preset period; determining an amplitude of the piezoelectric signal based on a first range of the piezoelectric signal and a first amplitude of background noise; based on the amplitude of the piezoelectric signal, the sleep state of the user is analyzed.
In yet another aspect, the present application further provides a computer readable storage medium having stored thereon a computer program which when executed by a processor is implemented to perform the sleep monitoring methods provided above, the method comprising: acquiring piezoelectric signals acquired by a piezoelectric unit in a preset period; determining an amplitude of the piezoelectric signal based on a first range of the piezoelectric signal and a first amplitude of background noise; based on the amplitude of the piezoelectric signal, the sleep state of the user is analyzed.
The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application, and are not limiting thereof; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.
Claims (10)
1. The sleep monitoring method is characterized by being applied to intelligent equipment and comprising the following steps of:
acquiring piezoelectric signals acquired by a piezoelectric unit in a preset period;
determining an amplitude of the piezoelectric signal based on a first range of the piezoelectric signal and a first amplitude of background noise;
based on the amplitude of the piezoelectric signal, the sleep state of the user is analyzed.
2. The method of claim 1, wherein determining the amplitude of the piezoelectric signal based on the first range of the piezoelectric signal and the first amplitude of background noise comprises:
if the first range of the piezoelectric signal does not meet a first judgment condition, determining the first range as the amplitude of the piezoelectric signal; otherwise, determining the amplitude of the piezoelectric signal after removing the extreme value in the piezoelectric signal based on the judgment result of the first polar difference of the second judgment condition;
wherein, the number of the removed extreme values is different corresponding to different judging results; the first judgment condition is as follows: the first margin is less than or equal to a first target parameter; the second judging condition is as follows: the first margin is less than or equal to a second target parameter; the first target parameter is the product of the first amplitude and a first multiple threshold; the second target parameter is the product of the first amplitude and a second multiple threshold; the first amplitude is the amplitude of background noise generated by a background environment; the first multiple threshold and the second multiple threshold are both greater than 1, and the first multiple threshold is greater than the second multiple threshold.
3. The method of claim 1, wherein the removing the extremum from the piezoelectric signal based on the determination of the first range based on the second determination condition comprises:
executing a first-time number preset processing method if the first range is smaller than or equal to the second target parameter under the condition that the first range is smaller than or equal to the first target parameter; otherwise, executing the preset processing method for the second time;
the preset processing method is used for removing the maximum value and the minimum value in the piezoelectric signal; the first number is less than the second number.
4. A method according to claim 3, wherein said determining the amplitude of the piezoelectric signal comprises:
calculating the difference between the piezoelectric signal with the largest amplitude and the piezoelectric signal with the smallest amplitude in the piezoelectric signals after the preset processing method is executed, so as to obtain a second difference;
if the second difference is smaller than or equal to a third target parameter, determining the first amplitude as the amplitude of the piezoelectric signal; otherwise, determining the second pole difference as the amplitude of the piezoelectric signal;
wherein the third target parameter is: the product of the second range and a third threshold; under the condition that the user is not out of bed, the third multiplier threshold is a first multiplier; under the condition that the user is judged to leave the bed, the third multiplier threshold value is a second multiplier; the first multiple and the second multiple are both greater than 1, and the first multiple is less than the second multiple.
5. The method of claim 1, wherein after the determining the amplitude of the piezoelectric signal, the method further comprises:
setting a target mark to a first state and resetting a count variable to a constant when the amplitude of the piezoelectric signal is greater than a fourth target parameter;
wherein the fourth target parameter is the product of the first amplitude and a fourth multiple threshold; the comparison result of the first range and the fourth target parameter is used for indicating whether the gesture of the user is changed to a large extent; the first state is used for indicating that the user is not out of bed; the constant is determined based on a ratio of a preset deep sleep duration to the preset period; the constant is greater than 1.
6. The method of claim 5, wherein after said determining the amplitude of the piezoelectric signal, the method further comprises:
subtracting 1 from the value of the count variable if the target is identified as a first state;
if the value of the counting variable is 1, setting the target mark to a second state;
wherein the second state is indicative of the user getting out of bed.
7. The method of claim 6, wherein after said determining the amplitude of the piezoelectric signal, the method further comprises:
Gradually reducing the value of a target multiple threshold value under the condition that the duration time of triggering the target mark to be in the second state is longer than the preset deep sleep duration time until the amplitude of the piezoelectric signal is not the first amplitude;
wherein the target multiple threshold comprises at least one of: the second multiple threshold and the fourth multiple threshold.
8. The method of claim 6, wherein analyzing the sleep state of the user based on the amplitude of the piezoelectric signal comprises:
determining a sleep time of the user based on the amplitude of the piezoelectric signal;
after analyzing the sleep state of the user based on the amplitude of the piezoelectric signal, the method further comprises:
acquiring duration time for triggering the target mark as the second state and the number of fragments for triggering the target mark as the second state in the sleeping time;
scoring the intelligent equipment according to the duration time and the fragment times, and determining the monitoring quality of the intelligent equipment according to the scoring result;
the longer the duration time for triggering the target mark as the second state is, the more the number of times for triggering the target mark as the second state is, the lower the score is.
9. A sleep monitoring device, the device comprising:
the acquisition module is used for acquiring piezoelectric signals acquired by the piezoelectric unit in a preset period;
a determining module, configured to determine an amplitude of the piezoelectric signal according to a first polar difference of the piezoelectric signal and a first amplitude of background noise; the method comprises the steps of carrying out a first treatment on the surface of the
And the analysis module is used for analyzing the sleep state of the user based on the amplitude of the piezoelectric signal.
10. A smart device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the sleep monitoring method according to any one of claims 1 to 8 when the program is executed.
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| CN117860208A (en) * | 2024-03-13 | 2024-04-12 | 四川骏逸富顿科技有限公司 | Sleep data processing method and device, electronic equipment and medium |
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| CN117860208A (en) * | 2024-03-13 | 2024-04-12 | 四川骏逸富顿科技有限公司 | Sleep data processing method and device, electronic equipment and medium |
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