CN106214121B - Sleep reminding method and device and wearable device - Google Patents
Sleep reminding method and device and wearable device Download PDFInfo
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- CN106214121B CN106214121B CN201610556843.9A CN201610556843A CN106214121B CN 106214121 B CN106214121 B CN 106214121B CN 201610556843 A CN201610556843 A CN 201610556843A CN 106214121 B CN106214121 B CN 106214121B
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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
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
- A61B5/4809—Sleep detection, i.e. determining whether a subject is asleep or not
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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
- 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
Abstract
The application discloses a sleep reminding method and device and wearable equipment, and the method comprises the following steps: when the current time is earlier than the daily falling asleep time, calculating an interval value between the current time and the daily falling asleep time, comparing the interval value with a first preset threshold value, then, when the interval value is smaller than the first preset threshold value, judging whether the user falls asleep currently, when the user does not fall asleep currently, judging whether the current state of the user is a state which is not beneficial to falling asleep or not, when the current state of the user is the state which is not beneficial to falling asleep, counting the first time of the state which is not beneficial to falling asleep again, comparing the first time with a preset duration threshold value, and finally, when the first time is greater than the preset duration threshold, reminding the user that the current state is not beneficial to falling asleep, therefore, the method is beneficial to the user to change the state which is not beneficial to sleep, ensures the user to maintain the normal sleep cycle and improves the sleep quality.
Description
Technical Field
The invention belongs to the technical field of health equipment, and particularly relates to a sleep reminding method and device and wearable equipment.
Background
In modern society, the competition between people is increasingly intense, so that insomnia becomes one of the common problems harming physical and mental health of people, and according to the international epidemic survey report, the following results are shown: the prevalence of complaints of insomnia in the general population is 35%.
Good sleep is an effective guarantee of human health and an important index for measuring health state, and the sleep is an essential process of physiological activities of organisms and is a periodic reversible resting phenomenon actively regulated by a sleep-wake center. A natural sleep-wake cycle of a normal person is generally 24 hours or 25 hours, and insomnia is a complaint of unsatisfactory sleep quality caused by disturbance of the natural sleep cycle. Therefore, if a natural sleep cycle can be guaranteed, the sleep quality will be improved.
However, some people are excited before sleeping due to intense exercise or activities (such as playing games), so that the normal sleep time cannot be guaranteed, the normal sleep period is influenced, and the sleep quality is reduced. In the prior art, there is a method and a device for sleep intelligent reminding, and the method includes: judging whether the current time of the terminal reaches a preset specific reminding time or not; when the current time of the terminal is judged to reach the specific reminding time, detecting whether a display panel of the terminal is in a bright screen state; when the display panel of the terminal is detected to be in the bright screen state, the display panel of the terminal is called to display the sleep reminding information, so that the sleep time of the user can be intelligently reminded, the user can be prevented from playing a mobile phone all night, the sufficient sleep time of the user can be guaranteed, and the physical and mental health of the user can be improved. However, this approach does not monitor activities associated with strenuous exercise and emotional agitation.
Disclosure of Invention
In order to solve the problems, the invention provides a sleep reminding method and device and wearable equipment, which are beneficial for a user to change the state unfavorable for sleep, ensure that the user maintains a normal sleep cycle and improve the sleep quality.
The invention provides a sleep reminding method, which comprises the following steps:
when the current time is earlier than the daily falling asleep time, calculating an interval value between the current time and the daily falling asleep time, and comparing the interval value with a first preset threshold value;
when the interval value is smaller than the first preset threshold value, judging whether the user falls asleep currently;
when the user does not fall asleep currently, judging whether the current state of the user is a state which is not beneficial to falling asleep;
when the current state of the user is a state which is not beneficial to falling asleep, counting first time for the state which is not beneficial to falling asleep to last, and comparing the first time with a preset duration threshold;
and when the first time is greater than the preset duration threshold, reminding the user that the current state is not beneficial to falling asleep.
Preferably, in the sleep reminding method as described above,
before the calculating the interval value between the current time and the daily sleep-falling time, the method further comprises the following steps: setting the daily sleep time of the user;
the setting of the daily sleep time of the user comprises:
counting the sleep time of a user every day in a preset period, and calculating the daily sleep time of the user according to all the sleep time;
or receiving an instruction of the user for setting the daily sleep-falling time, and setting the daily sleep-falling time of the user according to the instruction.
Preferably, in the sleep reminding method, the determining whether the user is asleep currently includes:
acquiring the heart rate of a user;
and comparing the heart rate with a preset first heart rate threshold value, wherein the preset first heart rate threshold value is 0.8 times of the daytime rest heart rate of the user or the average heart rate of the user during night sleep.
Preferably, in the sleep reminding method, the determining whether the current state of the user is a state not conducive to falling asleep includes:
acquiring step frequency and heart rate variability indexes of a user;
judging the relation between the step frequency and a preset step frequency threshold value, the relation between the heart rate and a preset second heart rate threshold value and the relation between the heart rate variability index and a preset heart rate variability index threshold value;
and when the step frequency is not less than the preset step frequency threshold value, or the heart rate is not less than the preset second heart rate threshold value, or the heart rate variability index is not greater than the preset heart rate variability index threshold value, judging that the current state of the user is a state not beneficial to falling asleep.
Preferably, in the sleep reminding method, after the reminding the user that the current state is not favorable for falling asleep, the method further includes:
judging whether the user closes the reminding, if so, closing the reminding;
if not, judging whether the user delays the reminding, if not, continuously judging whether the user closes the reminding, if the user selects the delayed reminding, pausing the reminding, and judging whether the difference value between the current time and the time of sending the reminding is larger than a preset delay time threshold value, if so, continuously judging whether the user falls asleep, and if not, continuously judging whether the difference value between the current time and the time of sending the reminding is larger than the preset delay time threshold value.
The invention provides a sleep reminding device, which comprises:
the calculating and comparing unit is used for calculating an interval value between the current moment and the daily sleep-falling moment when the current moment is earlier than the daily sleep-falling moment, and comparing the interval value with a first preset threshold value;
the first judging unit is used for judging whether the user falls asleep currently or not when the interval value is smaller than the first preset threshold value;
the second judging unit is used for judging whether the current state of the user is a state which is not beneficial to falling asleep or not when the user does not fall asleep currently;
the statistical unit is used for counting the first time of the state which is not beneficial to falling asleep when the current state of the user is the state which is not beneficial to falling asleep, and comparing the first time with a preset duration threshold;
and the reminding unit is used for reminding the user that the current state is not beneficial to falling asleep when the first time is greater than the preset duration threshold.
Preferably, in the sleep reminding device, the sleep reminding device further includes:
and the setting unit is used for setting the daily sleep time of the user.
Preferably, in the sleep reminding device, the first determining unit includes:
heart rate acquisition means for acquiring a heart rate of a user;
and the heart rate comparison component is used for comparing the heart rate with a preset first heart rate threshold value, wherein the preset first heart rate threshold value is 0.8 time of the daytime rest heart rate of the user or the average heart rate of the user during night sleep.
Preferably, in the sleep reminding device described above,
the second determination unit includes:
a step frequency acquisition means for acquiring a step frequency of a user;
heart rate variability index acquisition means for acquiring a heart rate variability index of a user;
the first judgment component is used for judging the relation between the step frequency and a preset step frequency threshold value, the relation between the heart rate and a preset second heart rate threshold value and the relation between the heart rate variability index and a preset heart rate variability index threshold value;
and the second judging component is used for judging that the current state of the user is a state which is not beneficial to falling asleep when the step frequency is not less than the preset step frequency threshold value, or the heart rate is not less than the preset second heart rate threshold value, or the heart rate variability index is not greater than the preset heart rate variability index threshold value.
The wearable device provided by the invention comprises any one sleep reminding device.
As can be seen from the above description, according to the sleep reminding method and apparatus and the wearable device provided by the present invention, when the current time is earlier than the daily time of falling asleep, the interval value between the current time and the daily time of falling asleep is calculated, and is compared with the first preset threshold, then, when the interval value is smaller than the first preset threshold, it is determined whether the user is currently falling asleep, when the user is not currently falling asleep, it is determined whether the current state of the user is a state that is not favorable for falling asleep, when the current state of the user is a state that is not favorable for falling asleep, the first time that is not favorable for the state of falling asleep is counted again, and is compared with the preset duration threshold, and finally, when the first time is larger than the preset duration threshold, the user is reminded that the current state is not favorable for falling asleep, therefore, activities which are not beneficial to sleep of the user are avoided within a certain time before the user sleeps, so that the user is facilitated to change the state which is not beneficial to sleep, the user is ensured to maintain a normal sleep cycle, and the sleep quality is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart of a first sleep reminding method according to an embodiment of the present application;
fig. 2 is a schematic view of a first sleep reminding device provided in an embodiment of the present application.
Detailed Description
The core idea of the invention is to provide a sleep reminding method and device and a wearable device, which are beneficial for a user to change the state unfavorable for sleep, ensure that the user maintains a normal sleep cycle and improve the sleep quality.
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 shows a first sleep reminding method provided in an embodiment of the present application, and fig. 1 is a flowchart of the first sleep reminding method provided in the embodiment of the present application. The method comprises the following steps:
s1: when the current time is earlier than the daily falling asleep time, calculating an interval value between the current time and the daily falling asleep time, and comparing the interval value with a first preset threshold value;
in a certain specific time period before the user falls asleep, if a violent activity is performed, the user can easily fail to fall asleep within a certain time period, so that the time when the user falls asleep in daily life can be missed, which can cause disorder in sleep of the user and influence the sleep quality of the user. It should be noted that, the daily time of falling asleep here may be manually set in advance, may be set in a manner of counting an average value of the time of falling asleep of the user within a period of time, or in another manner, and is not limited herein; and the first preset threshold is also a variable value, and a user can set the corresponding first preset threshold according to the specific situation of the user.
S2: when the interval value is smaller than the first preset threshold value, judging whether the user falls asleep currently;
this step is illustrated below with a specific example: the daily sleep time of the user is set to be ten o 'clock at night in advance, the first preset threshold value is set to be half an hour, in this case, after the current time reaches nine o' clock and half, the judgment of whether the user is asleep is started by calculating that the interval value is smaller than the first preset threshold value, and if the user is not asleep at this time, subsequent processes are carried out. It should be noted that, the manner of determining whether the user is falling asleep at present includes, but is not limited to, determining by using the heart rate, and multiple physiological parameters of the user in the sleep state and the awake state are all different, and among the physiological parameters, the heart rate is a parameter that is obviously different and easy to obtain, so that the determination can be performed by using the measured heart rate, and the determination is simple and easy to perform, and is more accurate.
S3: when the user does not fall asleep currently, judging whether the current state of the user is a state which is not beneficial to falling asleep;
in the step, various ways are available for judging whether the current state of the user is a state not beneficial to falling asleep, and when the user is doing strenuous exercise or is in a nervous psychological state, the change of some physiological parameters can be reflected, and at the moment, whether the current state is not beneficial to falling asleep can be known by collecting related physiological parameters.
S4: when the current state of the user is a state which is not beneficial to falling asleep, counting first time for the state which is not beneficial to falling asleep to last, and comparing the first time with a preset duration threshold;
the step is set to avoid misjudgment caused by some sudden situation of the user, that is, only if the state of the user not beneficial to falling asleep lasts for a certain time, the user can be determined to be performing the activity not beneficial to falling asleep, and thus the related reminding is necessary. It should be noted that the preset duration threshold may also be set in advance according to the specific situation of the user, and may be modified according to the situation.
S5: and when the first time is greater than the preset duration threshold, reminding the user that the current state is not beneficial to falling asleep.
After all the steps are completed, the user can be determined to be doing activities which are not beneficial to falling asleep, then the user can be reminded in a certain mode, the reminding mode comprises one or more of vibration, voice reminding set by a micro-signal public number bound by the user or mobile terminal APP or flashing, and the method is not limited in the position, as long as the user can sense the activities which are not beneficial to falling asleep in time, the user can stop the activities which are not beneficial to falling asleep after receiving the reminding to prepare to fall asleep, so that the best falling asleep moment can be guaranteed not to be missed, a healthy work and rest rule is formed, and disorder of a biological clock is avoided.
As can be seen from the above description, in the first sleep reminding method provided in this embodiment of the present application, when the current time is earlier than the daily time of falling asleep, the interval value between the current time and the daily time of falling asleep is calculated, and is compared with the first preset threshold, then, when the interval value is smaller than the first preset threshold, it is determined whether the user is currently falling asleep, when the user is not currently falling asleep, it is determined whether the current state of the user is a state that is not favorable for falling asleep, when the current state of the user is a state that is not favorable for falling asleep, the first time at which the state that is not favorable for falling asleep continues is counted again, and is compared with the preset duration threshold, and finally, when the first time is larger than the preset duration threshold, the user is reminded that the current state is not favorable for falling asleep, so that activities that are not favorable for sleeping are performed by the user within a certain time before falling asleep, therefore, the user can change the state which is not beneficial to sleep, the user can be ensured to maintain the normal sleep cycle, and the sleep quality is improved.
The second sleep reminding method provided by the embodiment of the application is based on the first sleep reminding method, and further comprises the following technical characteristics:
before the calculating the interval value between the current time and the daily sleep-falling time, the method further comprises the following steps: setting the daily sleep time of the user;
the setting of the daily sleep time of the user comprises:
counting the sleep time of a user every day in a preset period, and calculating the daily sleep time of the user according to all the sleep time, wherein the specific operation modes include, but are not limited to, the following operation modes: firstly, the average value a of all sleep-falling moments of long-term sleep monitoring is calculated, data which are larger than (average value a +2 hours) and smaller than (average value a-2 hours) are removed, the rest data are re-averaged, and the obtained average value b is the determined daily sleep-falling moment which is the daily sleep-falling moment obtained according to the sleep rule of the user, and the method is scientific and accords with the personal habits of the user;
or receiving a user's instruction for setting the daily sleep time, and setting the daily sleep time of the user according to the instruction, specifically, the user can set the daily sleep time by himself or according to doctor opinions on a WeChat public number or a mobile terminal APP bound by the user, and this way can meet the personal preference of the user and can set the daily sleep time according to the requirements of a specific time period, for example, when the user is a student, the daily sleep time can be set later during a period of cold or summer holiday, and the daily sleep time needs to be set earlier during school.
The third sleep reminding method provided by the embodiment of the application is based on the first sleep reminding method, and further comprises the following technical characteristics:
the judging whether the user falls asleep currently comprises the following steps:
acquiring the heart rate of a user;
and comparing the heart rate with a preset first heart rate threshold value, wherein the preset first heart rate threshold value is 0.8 times of the daytime rest heart rate of the user or the average heart rate of the user during night sleep.
The method for determining whether the user is asleep or not by using the heart rate is easier to operate and more accurate, and therefore, in this way, it should be noted that the selection of the preset first heart rate threshold is also based on experience and can be adjusted according to specific user conditions. Of course, in addition to this, other methods such as a heart rate variability index may be used for determination, and will not be described in detail here.
The fourth sleep reminding method provided in the embodiment of the present application is based on the third sleep reminding method, and further includes the following technical features:
the judging whether the current state of the user is a state not beneficial to falling asleep comprises the following steps:
acquiring step frequency and heart rate variability indexes of a user;
judging the relation between the step frequency and a preset step frequency threshold value, the relation between the heart rate and a preset second heart rate threshold value and the relation between the heart rate variability index and a preset heart rate variability index threshold value;
and when the step frequency is not less than the preset step frequency threshold value, or the heart rate is not less than the preset second heart rate threshold value, or the heart rate variability index is not greater than the preset heart rate variability index threshold value, judging that the current state of the user is a state not beneficial to falling asleep.
It should be noted that this method can basically cover all the activities that are not conducive to falling asleep, for example, when the user is performing strenuous physical activities such as running, the step frequency is large, and when the user is performing strenuous mobile phone games or computer games, the step frequency is 0, but the heartbeat is accelerated due to psychological stress, so the heart rate can be measured. Specifically, a motion sensor (e.g., an acceleration sensor) may be used to capture the acceleration motion of the user and calculate the stride frequency of the user. According to experience values obtained by analyzing a large amount of human activity data, the preset step frequency threshold value can be set to be 120 steps/minute, the preset second heart rate threshold value is set to be 100 times/minute, the preset heart rate variability index threshold value is set to be 80ms, a WeChat public number or a mobile terminal APP bound by a user can be set according to doctor opinions, and various parameter threshold values suitable for self health conditions can be set for chronic disease patients such as hypertension and diabetes patients.
In addition, the heart rate variability can evaluate the mood, and when the user is in a mood state such as anxiety, depression and the like, the time domain indexes related to the heart rate variability are all reduced from normal values. The heart rate variability index SDNN (optionally, also including SDANN, RMSSD, PNN50) is obtained by performing time domain analysis on a heart rate or a sequence of heart beat time intervals, where SDNN is a standard deviation of an adjacent R-wave peak interval (RR interval), and an RR interval in a sinus rhythm is also referred to as an NN interval, and thus SDNN is a standard deviation of an NN interval; SDANN is divided into continuous time periods in 5min in the whole course, and the standard deviation of all average values is calculated according to the average value of NN intervals of every 5 min; RMSSD is the root mean square value of the difference between the global adjacent NN intervals; PNN50 is a percentage of the global adjacent interval difference >50 ms.
The fifth sleep reminding method provided in the embodiment of the present application is based on any one of the first to fourth sleep reminding methods, and further includes the following technical features:
after the reminding user that the current state is not beneficial to falling asleep, the method further comprises the following steps:
judging whether the user closes the reminding, if so, closing the reminding;
if not, judging whether the user delays the reminding, if not, continuously judging whether the user closes the reminding, if the user selects the delayed reminding, pausing the reminding, and judging whether the difference value between the current time and the time of sending the reminding is larger than a preset delay time threshold value, if so, continuously judging whether the user falls asleep, and if not, continuously judging whether the difference value between the current time and the time of sending the reminding is larger than the preset delay time threshold value.
Fig. 2 shows a first sleep reminding device provided in an embodiment of the present application, and fig. 2 is a schematic view of the first sleep reminding device provided in the embodiment of the present application. This sleep reminding device includes:
the calculating and comparing unit 1 is used for calculating an interval value between the current moment and the daily sleep-falling moment when the current moment is earlier than the daily sleep-falling moment, and comparing the interval value with a first preset threshold value, wherein the first preset threshold value is a variable value, and a user can set a corresponding first preset threshold value according to self conditions;
the first determining unit 2 is configured to determine whether the user falls asleep currently when the interval value is smaller than the first preset threshold, specifically, if the daily time of falling asleep of the user is set to ten o 'clock at night in advance, the first preset threshold is set to half an hour, in this case, after the current time reaches nine o' clock, it is known through calculation that the interval value is smaller than the first preset threshold, the determination of whether the user falls asleep is started, and if the user does not fall asleep at this time, subsequent processes are performed. It should be noted that, the first determining unit includes, but is not limited to, determining by using a heart rate, and a plurality of physiological parameters of the user in a sleep state and a waking state are all different, and among the physiological parameters, the heart rate is a parameter which is obviously different and is easy to obtain, so that the heart rate obtained by measurement can be used for determining, and the determining is simple, easy and accurate;
the second judging unit 3 is configured to judge whether the current state of the user is a state that is not favorable for falling asleep when the user is not falling asleep currently, and it should be noted that there are many ways to judge whether the current state of the user is a state that is not favorable for falling asleep;
the statistical unit 4 is configured to, when the current state of the user is a state that is not conducive to falling asleep, count a first time that the state that is not conducive to falling asleep continues, and compare the first time with a preset duration threshold, where it should be noted that a misjudgment caused by some sudden situation of the user can be avoided, that is, only if the state that is not conducive to falling asleep of the user continues for a certain time, it can be determined that the user is performing an activity that is not conducive to falling asleep, and thus it is necessary to perform a related reminder, where the preset duration threshold may also be set in advance according to a specific situation of the user, and may be modified according to a change of the situation;
reminding unit 5, be used for working as the very first time is greater than when predetermineeing the duration threshold value, remind the user current state to be unfavorable for falling asleep, can utilize multiple mode to remind the user, including vibrations, the little signal public number or mobile terminal APP that bind through the user set for remind or flash of one or several kinds in, here do not do the restriction, as long as can make the user in time perception can, the user can stop the activity after receiving reminding and prepare to fall asleep, just so can guarantee that the user can not miss between its best falls asleep, form a healthy work and rest law, avoid the disorder of biological clock.
According to the above description, the first sleep reminding device provided in the embodiment of the present application is beneficial for a user to change a state unfavorable for sleeping, so that the user is ensured to maintain a normal sleep cycle, and the quality of sleeping is improved.
The second sleep reminding device provided by the embodiment of the application is based on the first sleep reminding device, and further comprises:
and the setting unit is used for setting the daily sleep time of the user.
The setting of the daily sleep time of the user comprises:
counting the sleep time of a user every day in a preset period, and calculating the daily sleep time of the user according to all the sleep time, wherein the specific operation modes include, but are not limited to, the following operation modes: firstly, the average value a of all sleep-falling moments of long-term sleep monitoring is calculated, data which are larger than (average value a +2 hours) and smaller than (average value a-2 hours) are removed, the rest data are re-averaged, and the obtained average value b is the determined daily sleep-falling moment which is the daily sleep-falling moment obtained according to the sleep rule of the user, and the method is scientific and accords with the personal habits of the user;
or receiving a user's instruction for setting the daily sleep time, and setting the daily sleep time of the user according to the instruction, specifically, the user can set the daily sleep time by himself or according to doctor opinions on a WeChat public number or a mobile terminal APP bound by the user, and this way can meet the personal preference of the user and can set the daily sleep time according to the requirements of a specific time period, for example, when the user is a student, the daily sleep time can be set later during a period of cold or summer holiday, and the daily sleep time needs to be set earlier during school.
The third sleep reminding device provided by the embodiment of the application is based on the first sleep reminding device, and further comprises the following technical characteristics:
the first judgment unit includes:
heart rate acquisition means for acquiring a heart rate of a user;
and the heart rate comparison component is used for comparing the heart rate with a preset first heart rate threshold value, wherein the preset first heart rate threshold value is 0.8 time of the daytime rest heart rate of the user or the average heart rate of the user during night sleep.
Whether the user falls asleep or not is judged by utilizing the heart rate, so that the operation is easier and more accurate, and therefore the heart rate acquisition component and the heart rate comparison component are adopted, it needs to be explained that the selection of the preset first heart rate threshold value is also based on experience and can be adjusted according to specific user conditions. Of course, in addition to this, other methods such as a heart rate variability index may be used for determination, and will not be described in detail here.
The fourth sleep reminding device provided by the embodiment of the application is based on the third sleep reminding device, and further comprises the following technical characteristics:
the second determination unit includes:
the step frequency acquisition component is used for acquiring the step frequency of the user, acquiring the acceleration motion condition of the user through a motion sensor such as an acceleration sensor, and calculating the step frequency of the user;
the heart rate variability index acquisition component is used for acquiring the heart rate variability index of the user, the heart rate variability can evaluate the emotion, and when the user is in emotional states such as anxiety and depression, the heart rate variability related time domain indexes are reduced by a normal value. The heart rate variability index SDNN (optionally, also including SDANN, RMSSD, PNN50) is obtained by performing time domain analysis on a heart rate or a sequence of heart beat time intervals, where SDNN is a standard deviation of an adjacent R-wave peak interval (RR interval), and an RR interval in a sinus rhythm is also referred to as an NN interval, and thus SDNN is a standard deviation of an NN interval; SDANN is divided into continuous time periods in 5min in the whole course, and the standard deviation of all average values is calculated according to the average value of NN intervals of every 5 min; RMSSD is the root mean square value of the difference between the global adjacent NN intervals; PNN50 is a percentage of the global adjacent interval difference >50 ms;
the first judgment component is used for judging the relation between the step frequency and a preset step frequency threshold value, the relation between the heart rate and a preset second heart rate threshold value and the relation between the heart rate variability index and a preset heart rate variability index threshold value;
and the second judging component is used for judging that the current state of the user is a state which is not beneficial to falling asleep when the step frequency is not less than the preset step frequency threshold value, or the heart rate is not less than the preset second heart rate threshold value, or the heart rate variability index is not greater than the preset heart rate variability index threshold value.
According to experience values obtained by analyzing a large amount of human activity data, the preset step frequency threshold value can be set to be 120 steps/minute, the preset second heart rate threshold value is set to be 100 times/minute, the preset heart rate variability index threshold value is set to be 80ms, a user can also set according to doctor opinions in a WeChat public account or a mobile terminal APP bound by the user, and parameter threshold values suitable for self health conditions can be set for chronic disease patients such as hypertension and diabetes patients.
In addition, the embodiment of the application also provides wearable equipment, which comprises any one sleep reminding device. The wearable device is in contact with a human body, various physiological parameters of the human body can be obtained by utilizing various sensors arranged on the wearable device, and the wearable device is provided with the sleep reminding device, so that the wearable device is beneficial to a user to change a state which is not beneficial to sleep, the user is ensured to maintain a normal sleep cycle, and the sleep quality is improved.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (4)
1. A sleep reminding method is characterized by comprising the following steps:
when the current time is earlier than the daily falling asleep time, calculating an interval value between the current time and the daily falling asleep time, and comparing the interval value with a first preset threshold value;
when the interval value is smaller than the first preset threshold value, judging whether the user falls asleep currently;
when the user does not fall asleep currently, judging whether the current state of the user is a state which is not beneficial to falling asleep;
when the current state of the user is a state which is not beneficial to falling asleep, counting first time for the state which is not beneficial to falling asleep to last, and comparing the first time with a preset duration threshold;
when the first time is larger than the preset duration threshold, reminding the user that the current state is not beneficial to falling asleep;
the judging whether the user falls asleep currently comprises the following steps:
acquiring the heart rate of a user;
comparing the heart rate with a preset first heart rate threshold, wherein the preset first heart rate threshold is 0.8 times of the daytime rest heart rate of the user or the average heart rate of the user during night sleep;
before the calculating the interval value between the current time and the daily sleep-falling time, the method further comprises the following steps: setting the daily sleep time of the user;
the setting of the daily sleep time of the user comprises:
counting the sleep time of a user every day in a preset period, and calculating the daily sleep time of the user according to all the sleep time;
or receiving an instruction of the user for setting the daily sleep-falling time, and setting the daily sleep-falling time of the user according to the instruction;
the judging whether the current state of the user is a state not beneficial to falling asleep comprises the following steps:
acquiring step frequency and heart rate variability indexes of a user;
judging the relation between the step frequency and a preset step frequency threshold value, the relation between the heart rate and a preset second heart rate threshold value and the relation between the heart rate variability index and a preset heart rate variability index threshold value;
and when the step frequency is not less than the preset step frequency threshold value, or the heart rate is not less than the preset second heart rate threshold value, or the heart rate variability index is not greater than the preset heart rate variability index threshold value, judging that the current state of the user is a state not beneficial to falling asleep.
2. The sleep reminding method according to claim 1, further comprising, after the reminding the user that the current status is not favorable for falling asleep:
judging whether the user closes the reminding, if so, closing the reminding;
if not, judging whether the user selects the delayed reminding or not, if not, continuously judging whether the user closes the reminding or not, if so, pausing the reminding, judging whether the difference value between the current time and the time of sending the reminding is larger than a preset delay time threshold value or not, if so, continuously judging whether the user falls asleep or not, and if not, continuously judging whether the difference value between the current time and the time of sending the reminding is larger than the preset delay time threshold value or not.
3. A sleep alert device, comprising:
the calculating and comparing unit is used for calculating an interval value between the current moment and the daily sleep-falling moment when the current moment is earlier than the daily sleep-falling moment, and comparing the interval value with a first preset threshold value;
the first judging unit is used for judging whether the user falls asleep currently or not when the interval value is smaller than the first preset threshold value;
the second judging unit is used for judging whether the current state of the user is a state which is not beneficial to falling asleep or not when the user does not fall asleep currently;
the statistical unit is used for counting the first time of the state which is not beneficial to falling asleep when the current state of the user is the state which is not beneficial to falling asleep, and comparing the first time with a preset duration threshold;
the reminding unit is used for reminding the user that the current state is not beneficial to falling asleep when the first time is greater than the preset duration threshold;
the first judgment unit includes:
heart rate acquisition means for acquiring a heart rate of a user;
the heart rate comparison component is used for comparing the heart rate with a preset first heart rate threshold value, wherein the preset first heart rate threshold value is 0.8 time of the daytime rest heart rate of the user or the average heart rate of the user during night sleep;
further comprising:
a setting unit for setting the daily sleep time of a user;
the second determination unit includes:
a step frequency acquisition means for acquiring a step frequency of a user;
heart rate variability index acquisition means for acquiring a heart rate variability index of a user;
the first judgment component is used for judging the relation between the step frequency and a preset step frequency threshold value, the relation between the heart rate and a preset second heart rate threshold value and the relation between the heart rate variability index and a preset heart rate variability index threshold value;
and the second judging component is used for judging that the current state of the user is a state which is not beneficial to falling asleep when the step frequency is not less than the preset step frequency threshold value, or the heart rate is not less than the preset second heart rate threshold value, or the heart rate variability index is not greater than the preset heart rate variability index threshold value.
4. A wearable device comprising the sleep alert device of claim 3.
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| CN107203310B (en) * | 2017-05-26 | 2023-10-17 | 上海传英信息技术有限公司 | Sleep reminding method, device and terminal |
| CN108415322A (en) * | 2018-02-26 | 2018-08-17 | 西北工业大学 | Multi-functional monitoring and alarm set and its implementation of staying up late |
| CN110333905A (en) * | 2018-03-29 | 2019-10-15 | 优酷网络技术（北京）有限公司 | Content progress control method and device |
| CN108815677A (en) * | 2018-04-12 | 2018-11-16 | 四川斐讯信息技术有限公司 | It is a kind of for improving the motion monitoring method and motion monitoring system of sleep quality |
| CN108542368A (en) * | 2018-04-13 | 2018-09-18 | 四川斐讯信息技术有限公司 | A kind of wearable device promotes the method and system of sleep quality |
| CN110558933A (en) * | 2019-07-26 | 2019-12-13 | 深圳市元征科技股份有限公司 | information prompting method and wearable device |
| CN111067488A (en) * | 2019-12-31 | 2020-04-28 | 重庆金康特智能穿戴技术研究院有限公司 | Sleep monitoring method based on intelligent wearable device |
| CN114343587A (en) * | 2020-09-29 | 2022-04-15 | Oppo广东移动通信有限公司 | Sleep monitoring method and device, electronic equipment and computer readable medium |
| CN112401838B (en) * | 2020-11-16 | 2023-07-14 | 上海创功通讯技术有限公司 | Method for detecting sleep state by wearable device and wearable device |
| CN112561468A (en) * | 2020-12-04 | 2021-03-26 | 珠海格力电器股份有限公司 | Sleep-in reminding method and device, readable storage medium and computer equipment |
| CN113672083B (en) * | 2021-07-30 | 2022-09-23 | 荣耀终端有限公司 | Method and device for monitoring work and rest moments |
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