CN114767068A - Sleep time confirming method, sleep monitor and monitoring device - Google Patents
Sleep time confirming method, sleep monitor and monitoring device Download PDFInfo
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Abstract
The invention provides a sleep time confirming method, a sleep monitor and a sleep monitor device, which comprise the following steps: acquiring the heartbeat intensity value of the user once every second preset time period within the first preset time period; obtaining a heartbeat fluctuation intensity value of the user according to the acquired data of the heartbeat intensity value; comparing the heartbeat fluctuation intensity value with a preset heartbeat fluctuation intensity threshold value to obtain a corresponding time point when the heartbeat fluctuation intensity value is smaller than the heartbeat fluctuation intensity threshold value; and confirming the point of falling asleep according to the corresponding time point when the heartbeat fluctuation intensity value is smaller than the heartbeat fluctuation intensity threshold value. The problem that the detection accuracy of the sleep monitoring equipment in the prior art on the actual sleep time of the user is low is solved.
Description
Technical Field
The invention relates to the technical field of sleep monitoring, in particular to a sleep time confirming method, a sleep monitor and a sleep monitoring device.
Background
With the development of economy, the living standard of people is continuously improved, and people pay more and more attention to health status, wherein sleep monitoring is an important scene in the field of health monitoring, the sleep monitoring is divided into contact sleep monitoring (such as an intelligent bracelet) and non-contact sleep monitoring (such as a sleep belt or a sleep instrument) and has the advantages that due to the non-contact usability, the sleep point of a user cannot be influenced, and the like, and the health monitoring system is widely applied.
The sleep monitoring equipment needs to judge the time of falling asleep according to the detected sleep data, and the conventional equipment needs to manually input the time for starting falling asleep and the time for finishing sleeping, or set the sleep data of a fixed time period in the equipment; however, such a method is less intelligent, and the detection of the actual sleep time of the user is not accurate enough, thereby affecting the detection precision of the sleep quality of the user.
Disclosure of Invention
The invention mainly aims to provide a sleep time confirming method, a sleep monitor and a sleep time monitoring device, and aims to solve the problem that the sleep monitoring equipment in the prior art is low in detection accuracy of the actual sleep time of a user.
In order to achieve the above object, the present invention provides a method for confirming sleep-in time, comprising: in a first preset time period, acquiring a heartbeat intensity value of the user once every second preset time period; obtaining a heartbeat fluctuation intensity value of the user according to the acquired data of the heartbeat intensity value; comparing the heartbeat fluctuation intensity value with a preset heartbeat fluctuation intensity threshold value to obtain a corresponding time point when the heartbeat fluctuation intensity value is smaller than the heartbeat fluctuation intensity threshold value; and confirming the point of falling asleep according to the corresponding time point when the heartbeat fluctuation intensity value is smaller than the heartbeat fluctuation intensity threshold value.
Further, according to a time point corresponding to the heartbeat fluctuation intensity value being smaller than the heartbeat fluctuation intensity threshold value, the method for confirming the point of falling asleep includes: obtaining one or more corresponding time points when the heartbeat fluctuation intensity value is smaller than the heartbeat fluctuation intensity threshold value; when a plurality of time points are obtained, sequencing the time points according to the sequence of the obtained heartbeat fluctuation intensity values to obtain the earliest time point as a sleep point; when a time point is obtained, the heartbeat intensity value of the user is continuously obtained.
Further, dividing the first preset time period into a plurality of sections of third preset time periods; the method for comparing the heartbeat fluctuation intensity value with the preset heartbeat fluctuation intensity threshold value comprises the following steps: comparing the heartbeat fluctuation intensity value in each section of the third preset time section range with a heartbeat fluctuation intensity threshold value; and recording time points corresponding to the heartbeat fluctuation intensity values in the third preset time period range when the heartbeat fluctuation intensity value in any third preset time period range in the third preset time periods is smaller than the heartbeat fluctuation intensity threshold value.
Further, dividing the first predetermined time period into a plurality of third predetermined time periods; the method for comparing the heartbeat fluctuation intensity value with the preset heartbeat fluctuation intensity threshold value comprises the following steps: comparing the heartbeat fluctuation intensity value in each section of the third preset time section range with a heartbeat fluctuation intensity threshold value; and when the heartbeat fluctuation intensity value corresponding to any one time point in the heartbeat fluctuation intensity values in a section of third preset time period range is greater than the heartbeat fluctuation intensity threshold value, ignoring the time points corresponding to all the heartbeat fluctuation intensity values in the section of third preset time period.
Further, the starting time point of the first predetermined time period is a time at which the user is perceived by the sleep monitoring module.
Further, the sleep monitoring module includes a piezoelectric sensor.
Further, the method for deriving the heartbeat fluctuation intensity of the user comprises the following steps: constructing a first window function f (x) 1, wherein x is time; according to a first window function f (x) and data of heartbeat intensity value h0，h1，h2，…，hnObtaining a variance value V of the heartbeat intensity value; wherein, V ═ var [ f (x) x { h)0，h1，h2，…，hn}】。
Further, a first window function f (x) is set to 1, where x ranges from m ≦ x ≦ m + a, where the first predetermined time period is setThe method comprises a plurality of time ranges from m to m + a, and the method for confirming the time to fall asleep further comprises the following steps: calculating the variance value of the heartbeat intensity value within the range of m to m + a of each segment to obtain variance value data { v }0，v1，v2，…vnA } is sent to the central processing unit; wherein, the corresponding variance value of the heartbeat intensity value represents the heartbeat fluctuation intensity value.
Further, the method for confirming the time to fall asleep further comprises: constructing a second window function g (x) ═ 1, wherein x is time, setting the range of x to be j less than or equal to x less than or equal to j + k, and comparing the heartbeat fluctuation intensity value in the time range with the heartbeat fluctuation intensity threshold value; when the heartbeat fluctuation intensity values in the time range are all smaller than the heartbeat fluctuation intensity threshold value, recording each time point corresponding to each heartbeat fluctuation intensity value in the time range.
Further, the first predetermined time period includes a plurality of time ranges from j to j + k, and the method for confirming the time to sleep further includes: comparing the heartbeat fluctuation intensity values in the time range j is less than or equal to x and less than or equal to j + k with a heartbeat fluctuation intensity threshold value to obtain a plurality of time points with heartbeat fluctuation intensity less than the heartbeat fluctuation intensity threshold value; and sequencing the multiple time points, wherein the initial time point is taken as a sleep-in time point.
According to a second aspect of the present invention, there is provided a sleep monitor adapted for use in the method of determining time to fall asleep described above.
According to a third aspect of the present invention, there is provided a monitoring device adapted to the above-mentioned method for confirming sleep onset time, wherein the monitoring device comprises: the monitoring module is used for monitoring the heartbeat intensity value of the user; the operation module is connected with the monitoring module and is used for receiving the heartbeat intensity value monitored by the monitoring module and carrying out data analysis on the heartbeat intensity value to obtain a heartbeat fluctuation intensity value of the user; and the determining module is connected with the operation module and is used for comparing the heartbeat fluctuation intensity value with a preset heartbeat fluctuation intensity threshold value and analyzing a comparison result so as to obtain a sleep point.
By applying the technical scheme of the invention, the method for confirming the time of falling asleep comprises the steps of acquiring the heartbeat intensity value of the user once every second preset time interval in the first preset time interval; obtaining a heartbeat fluctuation intensity value of the user according to the acquired data of the heartbeat intensity value; comparing the heartbeat fluctuation intensity value with a preset heartbeat fluctuation intensity threshold value to obtain a corresponding time point when the heartbeat fluctuation intensity value is smaller than the heartbeat fluctuation intensity threshold value; and confirming the point of falling asleep according to the corresponding time point when the heartbeat fluctuation intensity value is smaller than the heartbeat fluctuation intensity threshold value. The sleep monitor can be used for monitoring the sleep time of the user independently without manually inputting the sleep time, the heartbeat fluctuation intensity of the user is monitored, the heartbeat fluctuation intensity is compared with a threshold value, whether the user falls asleep is judged, and intelligent operation of the sleep monitor is improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
fig. 1 shows a control flow diagram of a method for determining a time to sleep according to the invention;
fig. 2 shows a time-ordered pattern of the heartbeat intensity in the method for confirming the time to sleep according to the present invention; and
fig. 3 shows a time-ordered graph of the heartbeat fluctuation intensity in the sleep onset time confirmation method according to the present invention.
Detailed Description
It should be noted that, in the present application, the embodiments and features of the embodiments may be combined with each other without conflict. The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the present application. As used herein, the singular forms "a", "an", and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
Referring to fig. 1 to fig. 3, the present invention provides a method for confirming sleep-in time, including: acquiring the heartbeat intensity value of the user once every second preset time period within the first preset time period; obtaining a heartbeat fluctuation intensity value of the user according to the acquired data of the heartbeat intensity value; comparing the heartbeat fluctuation intensity value with a preset heartbeat fluctuation intensity threshold value to obtain a corresponding time point when the heartbeat fluctuation intensity value is smaller than the heartbeat fluctuation intensity threshold value; and confirming the point of falling asleep according to the corresponding time point when the heartbeat fluctuation intensity value is smaller than the heartbeat fluctuation intensity threshold value. The method for confirming the time of falling asleep provided by the invention comprises the steps of acquiring the heartbeat intensity value of a user once every second preset time interval in a first preset time interval; obtaining a heartbeat fluctuation intensity value of the user according to the acquired data of the heartbeat intensity value; comparing the heartbeat fluctuation intensity value with a preset heartbeat fluctuation intensity threshold value to obtain a corresponding time point when the heartbeat fluctuation intensity value is smaller than the heartbeat fluctuation intensity threshold value; and confirming the point of falling asleep according to the corresponding time point when the heartbeat fluctuation intensity value is smaller than the heartbeat fluctuation intensity threshold value. The sleep monitor can be used for monitoring the sleep time of the user independently without manually inputting the sleep time, the heartbeat fluctuation intensity of the user is monitored, the heartbeat fluctuation intensity is compared with a threshold value, whether the user falls asleep is judged, and intelligent operation of the sleep monitor is improved.
Specifically, the method for confirming the sleep point according to the time point corresponding to the heartbeat fluctuation intensity value being smaller than the heartbeat fluctuation intensity threshold value includes: obtaining one or more corresponding time points when the heartbeat fluctuation intensity value is smaller than the heartbeat fluctuation intensity threshold value; when a plurality of time points are obtained, sequencing the time points according to the sequence of the obtained heartbeat fluctuation intensity values to obtain the earliest time point as a sleeping point; when a time point is obtained, the heartbeat intensity value of the user is continuously obtained. When the heartbeat fluctuation intensity value of only one time point is smaller than the heartbeat fluctuation intensity threshold value, the user does not fall asleep all the time within the first preset time period, and therefore the heartbeat intensity value of the user is continuously monitored until a plurality of time points with the heartbeat fluctuation intensity values smaller than the heartbeat fluctuation intensity threshold value are obtained. When a plurality of time points are obtained, the time points are sequenced according to the sequence of the measured heartbeat fluctuation intensity values, so that the sleep time of the user can be accurately obtained.
For example, when the heartbeat intensity of the user starts to be monitored at 15:00 pm, the heartbeat fluctuation intensity values corresponding to the time points of 16:00, 20:00, 0:00 and 04:00 are all smaller than the heartbeat fluctuation intensity threshold value, the time points are sorted according to the time sequence of the measured heartbeat fluctuation intensity values, the earliest time is 16:00, and then 16:00 is taken as the time point of falling asleep of the user.
In the specific implementation process, the first preset time period is divided into a plurality of sections of third preset time periods; the method for comparing the heartbeat fluctuation intensity value with the preset heartbeat fluctuation intensity threshold value comprises the following steps: comparing the heartbeat fluctuation intensity value in each section of the third preset time section range with a heartbeat fluctuation intensity threshold value; and recording time points corresponding to the heartbeat fluctuation intensity values in any third preset time period range when the heartbeat fluctuation intensity values in any third preset time period range in the plurality of third preset time periods are smaller than the heartbeat fluctuation intensity threshold value. It should be explained here that "the third predetermined time period" refers to a third predetermined time period in which all heartbeat fluctuation intensity values are smaller than the heartbeat fluctuation intensity threshold value, so that the monitoring structure is set to be more accurate, if all heartbeat fluctuation intensity values are smaller than the heartbeat fluctuation intensity threshold value in the third predetermined time period range, it indicates that the heartbeat of the user is stable in the third predetermined time period, it indicates that the user is in a sleep state, the third predetermined time period is set to be multiple segments, and when all heartbeat fluctuation intensity values in any one of the multiple segments of the third predetermined time period range are smaller than the heartbeat fluctuation intensity threshold value, time points corresponding to all heartbeat fluctuation intensity values in the third predetermined time period range are recorded, so as to ensure that the recorded time points that the user is actually in the sleep state, and ensure that the monitoring result is accurate.
Specifically, taking three third predetermined time periods as an example, when one value of the heartbeat fluctuation intensity values in the first third predetermined time period range is greater than the heartbeat fluctuation intensity threshold value, it indicates that the heartbeat fluctuation of the user in the third predetermined time period is not stable and is not in a sleep state, and therefore, all time points in the third predetermined time period range are ignored; when the heartbeat fluctuation intensity values in the second predetermined time period range are all smaller than the heartbeat fluctuation intensity threshold value, the user is indicated to breathe stably in the third predetermined time period at the moment, the heartbeat fluctuation amplitude of the user is small, and time points corresponding to the heartbeat fluctuation intensity values in the second predetermined time period range are recorded; when the heartbeat fluctuation intensity values in the third predetermined time period range of the third section are all smaller than the heartbeat fluctuation intensity threshold value, recording time points corresponding to the heartbeat fluctuation intensity values in the third predetermined time period range of the second section, wherein at the moment, the user is indicated to breathe stably and be in a sleep state in the third predetermined time period; the recorded time points are then sorted, with the earliest time point being the user's time to fall asleep.
As shown in fig. 3, if the real line segment is the heartbeat fluctuation range, the imaginary line segment is the heartbeat fluctuation intensity threshold, the time period from 23:39:57 to 12:19:57 is the first predetermined time period, the third predetermined time period is set to be 40 minutes, and the heartbeat fluctuation range of the user is smaller than the heartbeat fluctuation intensity threshold in the time periods from 23:39:57 to 12:19:57 from 2:19:57 to 2:59:57, from 4:59:57 to 5:39:57, from 5:39:57 to 6:19:57, and from 8:59:57 to 9:39:57, the time points are sorted, and the time point of falling asleep of the user is estimated to be 2:19: 57.
Further, dividing the first preset time period into a plurality of sections of third preset time periods; the method for comparing the heartbeat fluctuation intensity value with the preset heartbeat fluctuation intensity threshold value comprises the following steps: comparing the heartbeat fluctuation intensity value in each section of the third preset time section range with a heartbeat fluctuation intensity threshold value; and when the heartbeat fluctuation intensity value corresponding to any one time point in the heartbeat fluctuation intensity values in a third preset time period range is greater than the heartbeat fluctuation intensity threshold value, ignoring the time points corresponding to all the heartbeat fluctuation intensity values in the third preset time period. It should be noted that, ignoring the time point corresponding to the third predetermined time period means not recording all time points in the third predetermined time period, because, in the monitoring process, if the heartbeat fluctuation intensity value greater than the heartbeat fluctuation intensity threshold value appears in the third predetermined time period, it indicates that the user has a heartbeat fluctuation in the time range, and is not in a sleep state, it does not record each time point corresponding to the heartbeat fluctuation intensity in the time range. For example, as shown in fig. 3, in the 23: 40: the heartbeat fluctuation intensity is always larger than the heartbeat fluctuation intensity threshold value in the time range of 00 to 0:00:00, or the heartbeat fluctuation intensity is within the time range of 2:00:00 to 2: 20:00, the fluctuation intensity of one part of heartbeats is greater than the threshold value of the fluctuation intensity of heartbeats, the fluctuation intensity of the other part of heartbeats is less than the threshold value, at this time, the user is not in a sleep state, and the two time points are ignored.
In a first embodiment provided by the present invention, the starting point in time of the first predetermined time period is the moment at which the user is perceived by the sleep monitoring module. In practical application, the sleep monitoring module comprises a piezoelectric sensor. When a user gets into bed, the piezoelectric sensor senses that the user is in bed, timing is started until the user gets out of bed, and the time from the moment when the user gets into bed to the moment when the user gets out of bed is the first preset time period in the above embodiment.
In a second embodiment provided by the present invention, the sleep detection module includes an infrared sensor or a human body proximity sensor, the sleep monitoring module is disposed indoors, and when a user enters the room, the infrared sensor or the human body proximity sensor is used to sense a human body signal, and at this time, the heartbeat intensity of the user starts to be recorded. In specific implementation, the heartbeat of a user is monitored by using a sleep monitor or an intelligent bracelet, a monitoring module for monitoring the heartbeat intensity of the user is arranged in the sleep monitor or the intelligent bracelet, and an infrared sensor is wirelessly connected with the sleep monitor or the intelligent bracelet, so that the infrared sensor transmits a human body signal to the sleep monitor or the intelligent bracelet as long as the user enters a room; or the human body proximity sensor is wirelessly connected with the sleep monitor or the smart bracelet, when a user enters the room, the human body proximity sensor transmits a human body signal to the sleep monitor or the smart bracelet, and the sleep monitor or the smart bracelet starts to monitor the heartbeat intensity of the user; therefore, the sleep quality and the physical state of the user can be monitored in real time as long as the user has a rest indoors, and the rest place of the user is not limited to a specific position.
Preferably, the second predetermined period of time is between 0.1s and 150 s. Therefore, the heartbeat intensity of the user is intensively monitored to obtain more data of the heartbeat intensity of the user so as to obtain more accurate heartbeat fluctuation intensity of the user.
In the embodiment provided by the invention, the method for obtaining the heartbeat fluctuation intensity of the user comprises the following steps: constructing a first window function f (x) 1, wherein x is time; according to a first window function f (x) and data of heartbeat intensity value h0，h1，h2，…，hnObtaining a variance value V of the heartbeat intensity value; wherein, V ═ var [ f (x) x { h0，h1，h2，…，hn}. It is also to be explained here that n is a positive integer, representing n data of measured heartbeat intensity values.
Setting a first window function f (x) 1, wherein x is m ≦ x ≦ m + a, m and a are both positive numbers, the distance between m and m + a is the width of the first window function f (x) 1, the time range including multiple m to m + a within a first predetermined time period, and the method for confirming the time to sleep further comprises: calculating the variance value of the heartbeat intensity value within the range of m to m + a of each segment to obtain variance value data { v }0，v1，v2，…vnB, }; wherein n is a positive integer, and the variance value corresponding to the n variance value heartbeat intensity values is heartbeat fluctuation intensityThe value is obtained. The heartbeat fluctuation intensity is marked by using the variance value of the heartbeat intensity value, so that the heartbeat fluctuation condition of the user in the first preset time period is more visually represented, and the comparison with the heartbeat fluctuation intensity threshold value is facilitated.
Specifically, the method for confirming the time to fall asleep further comprises: constructing a second window function g (x) 1, wherein x is time, setting the range of x to be j ≦ x ≦ j + k, wherein j and k are both positive numbers, the distance from j to j + k is the width of the second window function g (x) 1, and comparing the heartbeat fluctuation intensity value in the time range with the heartbeat fluctuation intensity threshold value; and when the heartbeat fluctuation intensity values in the time range are all smaller than the heartbeat fluctuation intensity threshold value, recording each time point corresponding to each heartbeat fluctuation intensity value in the time range. The first predetermined time period comprises a plurality of time ranges from j to j + k, and the method for confirming the time to sleep further comprises the following steps: comparing the heartbeat fluctuation intensity value within each time range j being not less than x and not more than j + k with a heartbeat fluctuation intensity threshold value to obtain a plurality of time points of which the heartbeat fluctuation intensity is less than the heartbeat fluctuation intensity threshold value; and sequencing a plurality of time points, wherein the initial time point is taken as a sleep time point. Wherein, a series of variance values { v } are obtained by setting a first window function f (x) 1, wherein x is in the range of m ≦ x ≦ m + a, and sliding the first window function f (x) 10，v1，v2，…vnAnd a series of variance values representing the degree of change in the heartbeat intensity of the user, that is, the heartbeat fluctuation intensity value, and a second window function g (x) is constructed by 1, and the second window function g (x) is constructed by 1 in the variance value data { v }0，v1，v2，…vnAnd sliding upwards, namely comparing one or more variance values with a heartbeat fluctuation intensity threshold value in the range of j being less than or equal to x being less than or equal to j + k, and screening a plurality of time points corresponding to the heartbeat fluctuation intensity values being less than the heartbeat fluctuation intensity threshold value in the range of j being less than or equal to x being less than or equal to j + k. Wherein m and j are the starting positions of the first window function and the second window function, respectively, a and k are the width of the first window function and the width of the second window function, respectively, and the specific values of a and k may be set according to actual requirements, for example, the heart rate of the monitored subject is too fast or too slow, in this embodiment, a may be set to 30s, k may be set to 50s, and in this embodiment, a may be set to 30s, and k may be set to 50sSliding the first window function within the range of 0 to 30s to obtain the heartbeat fluctuation intensity of the user; and sliding the second window function within the range of 0 to 50s to obtain a series of time points, so that the set monitoring result is more accurate, the whole process does not need manual operation of a user, and the monitoring precision of the sleep condition of the user is improved.
For example, setting the window width of the first window function f (x) to 1 to 5, the consecutive time points 23:39:57, 23:41:56, 23:43:55, 23:45:54, 23:47:54, 23:49:53, respectively corresponding to the heartbeat intensity values of the user to 104, 37, 31, 32, 52, and 47 in sequence, yields the heartbeat fluctuation intensity value var (104, 37, 31, 32, 52) of the user at 23:39:57 to 630.55; sliding the first window function to obtain the heartbeat fluctuation intensity value var (37, 31, 32, 52, 47) of the user at 23:41:56, which is 75.55, and so on to obtain the heartbeat fluctuation intensity value corresponding to each time point.
The invention also provides a sleep monitor which is suitable for the sleep time confirmation method in the embodiment. The sleep monitor is utilized to monitor the sleep time and the sleep quality of the user so as to monitor the body state of the user in real time.
The invention also provides a monitoring device which is suitable for the sleep time confirmation method of the embodiment, wherein the monitoring device comprises a monitoring module used for monitoring the heartbeat intensity value of the user; the operation module is connected with the monitoring module and used for receiving the heartbeat intensity value monitored by the monitoring module and carrying out data analysis on the heartbeat intensity value to obtain a heartbeat fluctuation intensity value of the user; and the determining module is connected with the operation module and is used for comparing the heartbeat fluctuation intensity value with a preset heartbeat fluctuation intensity threshold value and analyzing a comparison result so as to obtain a sleep point.
The monitoring device comprises a monitoring module, a sensing module and a monitoring module, wherein the sensing module is connected with the monitoring module, and is used for sensing whether a user is in a monitoring range of the monitoring module; preferably, the sensing module comprises a piezoelectric sensor.
The data analysis of the heartbeat intensity value by using the operation module refers to obtaining a heartbeat fluctuation intensity value by using a first window function which is constructed in advance, sliding on a variance value used for representing the heartbeat fluctuation intensity value by using a second window function which is constructed in advance in the determination module, namely comparing one or more variance values with a heartbeat fluctuation intensity threshold value, and screening out a plurality of time points which correspond to the heartbeat fluctuation intensity value which is smaller than the heartbeat fluctuation intensity threshold value within the range that x is not less than j and not more than j + k, so as to obtain the time for falling asleep. Specifically, the operation module comprises a first operation unit, a first window function f (x) ═ 1 is constructed in the first operation unit in advance, the width m of the first window function is set to be more than or equal to x and less than or equal to m + a, and the heartbeat fluctuation intensity of the user is obtained by the first operation unit according to the heartbeat intensity value of the user monitored by the monitoring module; the determining module comprises a second arithmetic unit, a second window function g (x) is constructed in the second arithmetic unit in advance, the width j of the second window function is set to be more than or equal to x and less than or equal to j + k, and a plurality of time points when the heartbeat fluctuation intensity of the user is less than the heartbeat fluctuation intensity threshold value are obtained in the second arithmetic unit; the determining module further comprises a sorting unit, the sorting unit is used for sorting the plurality of time points obtained by the second operation unit, and the earliest time point is identified so as to determine the time of falling asleep of the user.
From the above description, it can be seen that the above-described embodiments of the present invention achieve the following technical effects:
the method for confirming the time of falling asleep provided by the invention comprises the steps of acquiring the heartbeat intensity value of a user once every second preset time interval in a first preset time interval; obtaining a heartbeat fluctuation intensity value of the user according to the acquired data of the heartbeat intensity value; comparing the heartbeat fluctuation intensity value with a preset heartbeat fluctuation intensity threshold value to obtain a corresponding time point when the heartbeat fluctuation intensity value is smaller than the heartbeat fluctuation intensity threshold value; and confirming the point of falling asleep according to the corresponding time point when the heartbeat fluctuation intensity value is smaller than the heartbeat fluctuation intensity threshold value. The sleep monitor can be used for monitoring the sleep time of the user independently without manual input, the heartbeat fluctuation intensity of the user is monitored, the heartbeat fluctuation intensity is compared with a threshold value, whether the user falls asleep is judged, and intelligent operation of the sleep monitor is improved.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Moreover, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Spatially relative terms, such as "above … …," "above … …," "above … … surface," "above," and the like, may be used herein for ease of description to describe one device or feature's spatial relationship to another device or feature as illustrated in the figures. It will be understood that the spatially relative terms are intended to encompass different orientations of the device in use or operation in addition to the orientation depicted in the figures. For example, if a device in the figures is turned over, devices described as "above" or "on" other devices or configurations would then be oriented "below" or "under" the other devices or configurations. Thus, the exemplary term "above … …" can include both an orientation of "above … …" and "below … …". The device may be otherwise variously oriented (rotated 90 degrees or at other orientations) and the spatially relative descriptors used herein interpreted accordingly.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes will occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (12)
1. A method for confirming a time to fall asleep, comprising:
in a first preset time period, acquiring a heartbeat intensity value of the user once every second preset time period;
obtaining a heartbeat fluctuation intensity value of the user according to the acquired data of the heartbeat intensity value;
comparing the heartbeat fluctuation intensity value with a preset heartbeat fluctuation intensity threshold value to obtain a corresponding time point when the heartbeat fluctuation intensity value is smaller than the heartbeat fluctuation intensity threshold value;
and confirming a sleep point according to the corresponding time point when the heartbeat fluctuation intensity value is smaller than the heartbeat fluctuation intensity threshold value.
2. The method for confirming sleep-in time according to claim 1, wherein the method for confirming the sleep-in point according to the time point corresponding to the heartbeat fluctuation intensity value being smaller than the heartbeat fluctuation intensity threshold value comprises:
obtaining one or more time points corresponding to the heartbeat fluctuation intensity value smaller than the heartbeat fluctuation intensity threshold value;
when a plurality of time points are obtained, sequencing the time points according to the sequence of the obtained heartbeat fluctuation intensity values to obtain the earliest time point as a sleeping point;
when a time point is obtained, the heartbeat intensity value of the user is continuously obtained.
3. The method for confirming a sleep onset time according to claim 1, wherein the first predetermined period of time is divided into a plurality of third predetermined periods of time; the method for comparing the heartbeat fluctuation intensity value with the preset heartbeat fluctuation intensity threshold value comprises the following steps:
comparing the heartbeat fluctuation intensity value in each section of the third preset time section range with the heartbeat fluctuation intensity threshold value;
and when the heartbeat fluctuation intensity value in any one third preset time period range in the plurality of third preset time periods is smaller than the heartbeat fluctuation intensity threshold value, recording the time point corresponding to each heartbeat fluctuation intensity value in the third preset time period range.
4. The method for confirming a sleep onset time according to claim 1, wherein the first predetermined period of time is divided into a plurality of third predetermined periods of time; the method for comparing the heartbeat fluctuation intensity value with the preset heartbeat fluctuation intensity threshold value comprises the following steps:
comparing the heartbeat fluctuation intensity value in each section of the third preset time section range with a heartbeat fluctuation intensity threshold value;
and when the corresponding heartbeat fluctuation intensity value at any time point in the heartbeat fluctuation intensity values in a section of the third preset time period range is greater than the heartbeat fluctuation intensity threshold value, ignoring the time points corresponding to all the heartbeat fluctuation intensity values in the section of the third preset time period.
5. The method for confirming a time to fall asleep according to claim 1, wherein a starting time point of the first predetermined period of time is a time at which the user is perceived by a sleep monitoring module.
6. The method of claim 5, wherein the sleep monitor module comprises a piezoelectric sensor.
7. The method for confirming sleep time according to claim 1, wherein the method for deriving the fluctuation intensity of the heartbeat of the user comprises:
constructing a first window function f (x) 1, wherein x is time;
according to the first window function f (x) and the data { h) of the heartbeat intensity value0，h1，h2，…，hnObtaining a variance value V of the heartbeat intensity value;
wherein, V ═ var [ f (x) x { h0，h1，h2，…，hn}】。
8. The method for confirming sleep-in time according to claim 7, wherein in the first window function f (x) 1, x is set to be in a range of m ≦ x ≦ m + a, wherein a time range of m to m + a is included in the first predetermined period of time, the method further comprising:
calculating the variance value of the heartbeat intensity value within the range of m to m + a of each segment to obtain variance value data { v }0，v1，v2，…vn，}；
And the corresponding variance value of the heartbeat intensity value is the heartbeat fluctuation intensity value.
9. The method of claim 8, further comprising:
constructing a second window function g (x) ═ 1, where x is time,
setting the range of x as j is more than or equal to j and less than or equal to j + k, and comparing the heartbeat fluctuation intensity value in the time range with the heartbeat fluctuation intensity threshold value;
and when the heartbeat fluctuation intensity values in the time range are all smaller than the heartbeat fluctuation intensity threshold value, recording each time point corresponding to each heartbeat fluctuation intensity value in the time range.
10. The method for confirming sleep-in time according to claim 9, wherein the first predetermined time period includes a plurality of time ranges from j to j + k, and the method further comprises:
comparing the heartbeat fluctuation intensity value within each time range j being not less than x being not less than j + k with the heartbeat fluctuation intensity threshold value to obtain a plurality of time points with the heartbeat fluctuation intensity being less than the heartbeat fluctuation intensity threshold value;
and sequencing a plurality of time points, wherein the initial time point is taken as a sleep-in time point.
11. A sleep monitor adapted for use in a method of determining the time to sleep according to any one of claims 1 to 10.
12. A monitoring device adapted to the method for confirming sleep time according to any one of claims 1 to 10, wherein the monitoring device comprises:
the monitoring module is used for monitoring the heartbeat intensity value of the user;
the operation module is connected with the monitoring module and is used for receiving the heartbeat intensity value monitored by the monitoring module and carrying out data analysis on the heartbeat intensity value to obtain a heartbeat fluctuation intensity value of the user;
and the determining module is connected with the operation module and is used for comparing the heartbeat fluctuation intensity value with a preset heartbeat fluctuation intensity threshold value and analyzing a comparison result to obtain a sleep point.
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