CN117503055A - Monitoring method for short sleep - Google Patents
Monitoring method for short sleep Download PDFInfo
- Publication number
- CN117503055A CN117503055A CN202311429844.3A CN202311429844A CN117503055A CN 117503055 A CN117503055 A CN 117503055A CN 202311429844 A CN202311429844 A CN 202311429844A CN 117503055 A CN117503055 A CN 117503055A
- Authority
- CN
- China
- Prior art keywords
- data
- group
- user
- sleep
- decibel value
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000007958 sleep Effects 0.000 title claims abstract description 108
- 238000000034 method Methods 0.000 title claims abstract description 34
- 238000012544 monitoring process Methods 0.000 title claims abstract description 28
- 208000037656 Respiratory Sounds Diseases 0.000 claims abstract description 34
- 230000033001 locomotion Effects 0.000 claims abstract description 31
- 230000007613 environmental effect Effects 0.000 claims abstract description 27
- 230000005236 sound signal Effects 0.000 claims description 37
- 230000008859 change Effects 0.000 claims description 26
- 230000036772 blood pressure Effects 0.000 claims description 24
- 230000036760 body temperature Effects 0.000 claims description 17
- 230000029058 respiratory gaseous exchange Effects 0.000 claims description 5
- 238000004891 communication Methods 0.000 claims description 2
- 238000001914 filtration Methods 0.000 claims description 2
- 230000035565 breathing frequency Effects 0.000 claims 1
- 239000000284 extract Substances 0.000 claims 1
- 230000009286 beneficial effect Effects 0.000 abstract description 2
- 230000036544 posture Effects 0.000 description 37
- 230000009471 action Effects 0.000 description 10
- 230000008569 process Effects 0.000 description 5
- 230000001133 acceleration Effects 0.000 description 3
- 230000036578 sleeping time Effects 0.000 description 3
- 230000001052 transient effect Effects 0.000 description 3
- 230000002618 waking effect Effects 0.000 description 3
- 206010041235 Snoring Diseases 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 2
- 238000007405 data analysis Methods 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000004886 head movement Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000012806 monitoring device Methods 0.000 description 1
- 210000003205 muscle Anatomy 0.000 description 1
- 230000035790 physiological processes and functions Effects 0.000 description 1
- 230000036387 respiratory rate Effects 0.000 description 1
- 230000000630 rising effect Effects 0.000 description 1
- 208000019116 sleep disease Diseases 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 210000000707 wrist Anatomy 0.000 description 1
Classifications
-
- 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
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
- A61B5/02055—Simultaneously evaluating both cardiovascular condition and temperature
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
- A61B5/4812—Detecting sleep stages or cycles
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Medical Informatics (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Physics & Mathematics (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Cardiology (AREA)
- Physiology (AREA)
- Pulmonology (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The invention provides a monitoring method of short sleep, which comprises the steps of configuring wearing equipment, acquiring various data of a non-sleep state of a user in advance, and storing the data as a first group of data; acquiring a second group of data, comparing the second group of data with one or more of body movement and posture, environmental sound and respiratory sound in the first group of data, and judging that the user is in a quasi-sleeping state if the second group of data is inconsistent; and acquiring a third group of data, respectively comparing the third group of data with the second group of data and the first group of data, and judging that the user is in an awake state if the third group of data is inconsistent with the second group of data and each item of data is close to the first group of data. The beneficial effects of the invention are as follows: sleep conditions of brief sleep can be detected.
Description
Technical Field
The invention relates to the technical field of medical information outside a hospital, in particular to a method for monitoring short sleep.
Background
Currently, based on wearable devices, such as a wearable smart bracelet, a watch or other wearable devices, such non-medical sleep monitoring devices are used for acquiring heart rate data or action receipts of wrists and judging sleep conditions according to the data. Because the data volume of the sign data obtained in real time is huge, the sign data cannot be collected all the day. The main mode at present is to define a time period for collecting data, for example, 10 pm to 8 am, take the time period as sleeping time, obtain the data of the time period and analyze the data to obtain sleeping data. Since the time of night sleep is relatively concentrated and fixed, the data collected in this way is substantially accurate.
However, the sleeping of the person is not limited to the night time period, and the short sleeping in the daytime such as afternoon nap and rest; daytime complementation of people on night shifts; infant sleep for a long time; also, people have a nap and multiple naps a day. Except for afternoon naps, the rest is not fixed and short sleep may occur at home, in a vehicle or elsewhere. The transient sleep is characterized in that: the sleeping time is different, and the sleeping time lasts for 15 minutes to 2 hours, even 4 hours; the time is not fixed, and according to factors such as work, habit and the like, short sleep is possible to occur except for night sleep; different sleeping postures include lying, sleeping or lying prone. These features of short sleep are difficult to accurately monitor by night sleep algorithms, nor can they be identified by current general sleep algorithms.
Disclosure of Invention
The invention provides a method for monitoring short sleep, which can acquire data of short sleep which is different from night sleep and occurs in any time and unlimited postures.
A method for monitoring short sleep comprising the steps of:
configuring wearing equipment, acquiring various data of a non-sleep state of a user in advance, and storing the data as a first group of data;
acquiring a second group of data, comparing the second group of data with one or more of body movement and posture, environmental sound and respiratory sound in the first group of data, and judging that the user is in a quasi-sleeping state if the second group of data is inconsistent;
the method for acquiring the third group of data and comparing the third group of data with the second group of data and the first group of data respectively, wherein the comparison between the third group of data and the second group of data is inconsistent, and each item of data is close to the first group of data, and the method for acquiring the third group of data and the first group of data judges that the user is in an awake state, and has the beneficial effects that: sleep conditions of brief sleep can be detected.
Drawings
FIG. 1 is a block diagram of a short sleep monitoring method according to an embodiment of the present invention.
Fig. 2 is a flow chart of the time to fall asleep determination of an embodiment of the invention.
FIG. 3 is a flow chart of wake-up time determination for an embodiment of the present invention.
Fig. 4 is a short sleep monitoring flowchart of a first embodiment of the present invention.
Fig. 5 is a multi-group data analysis timeline according to a first embodiment of the present invention.
Fig. 6 is a flow chart of a second embodiment of the invention for short sleep monitoring.
Fig. 7 is a multi-set data analysis timeline according to a second embodiment of the present invention.
Detailed Description
Embodiments of the invention are described in detail below with reference to the attached drawings, but the invention can be implemented in a number of different ways, which are defined and covered by the claims.
Taking a wearable intelligent watch as an example, an intelligent terminal takes a mobile phone as an example, a mobile phone APP is connected and communicated with the wearable intelligent watch, the mobile phone APP acquires and stores data uploaded by the wearable intelligent watch, and basic information such as gender, age and occupation is input in advance on the mobile phone APP. And the mobile phone APP inputs receipts uploaded by the wearable intelligent watch into different models according to the basic information, and outputs a result according to a formula of the model.
In the embodiment of the invention, the wearable device is not limited to wearing a smart watch, but may be a wearable device such as a bracelet, a finger ring, an earring, an armring/armpack, a head-wear, and the like.
The data that wearing equipment gathered includes: human body sign information and environmental information such as sound, respiration, body movement, posture, heart rate, PPG and the like.
In embodiments of the invention, brief sleep is exemplified by afternoon nap, and a method of monitoring nap/nap is the same.
As shown in fig. 1, a method for monitoring short sleep comprises the following steps:
configuring a wearable device to acquire various parameters of a non-sleep state of a user in advance, and storing the parameters as a first group of data;
and acquiring a changed second group of data, comparing the second group of data with the first group of data, analyzing the action gesture and physiological parameters of the user if the data are inconsistent, and judging that the user falls asleep if the data are inconsistent.
And comparing the third group of data of the detected change with the first group of data, analyzing the action gesture and the physiological parameter of the user when the data are consistent, and judging that the user is in an awake state.
The first, second and third sets of data comprise: body movement and posture, heart rate values, blood pressure values, PPG, respiratory rate and sound and ambient sound.
As shown in fig. 2, when the comparison between the first set of data and the second set of data is different, the motion and the gesture are compared first, and if the motion gesture change is detected, that is, when the normal gesture is changed into the sleep gesture, the sound data is compared, and the step of falling asleep is judged as follows:
s1, an acceleration sensor of a wearable device has body movement and posture change at set time, and a gyroscope detects that a user has a sleeping posture, and then a sound sensor is started to acquire an environment sound signal and a respiratory sound signal;
s2, comparing the environment sound signal and the breathing sound signal with the environment sound signal and the breathing sound signal in the first group of data, and judging that the user enters a sleep state if the environment sound signal is lower than a preset value and the breathing sound signal is higher than a reference value and has no change in a set time period.
S3, the wearable device acquires the blood pressure, heart rate and temperature values of the user.
In S1, it is determined whether there is a body movement or posture change, that is, whether the normal posture (standing, sitting, walking, movement, etc.) is changed to the sleeping posture, such as the sitting, leaning, lying, etc. posture with sleeping.
When the user is judged to enter sleep (afternoon nap/rest), the heart rate sensor and the body temperature sensor are started to continuously monitor the physiological state of the user, and the sleep state of the user during sleep is obtained through the heart rate.
In other embodiments of the present invention, when the comparison between the first set of data and the second set of data is different, the change of the sound data may be compared first, then the motion and the gesture may be compared, for example, when the motion gesture change is detected, i.e. the normal gesture changes to the sleep gesture, and then other sign data may be compared.
In other embodiments of the present invention, when the comparison between the first set of data and the second set of data is different, the comparison may be performed simultaneously with respect to the sound data and the motion and posture changes, for example, when the motion posture changes, i.e., the normal posture changes to the sleep posture, and when the environmental sound key and the respiratory sound become thicker, the comparison may be performed with respect to other sign data.
And judging that the principle of waking up is the same as that of sleeping, acquiring an environmental sound signal and a respiratory sound signal in the third group of data, comparing the environmental sound signal and the respiratory sound signal in the first group of data, and judging that the sleeping is temporarily waking up if the environmental sound signal and the respiratory sound signal are consistent with each other.
As shown in fig. 3, in one embodiment of the present invention, a method for determining wakeup includes the steps of:
s4, the wearable device has body movement, posture change and sound change at set time, and if the user has the action posture, the sound sensor is started to acquire an environment sound signal and a respiratory sound signal;
s5, comparing the environment sound signal and the breathing sound signal with a preset value, and judging as an awakening state if the environment sound signal is higher than the preset value, the breathing sound signal is lower than the reference value and the comparison with the corresponding parameters in the first group of data is unchanged.
S6, the wearable device acquires the equivalent values of the blood pressure, heart rate and temperature value of the user.
In other embodiments of the present invention, in S4, the wearable device may monitor at the same time or only one of the physical movement and the posture change or the sound change at the set time.
As shown in fig. 4-5, which are flowcharts of the first embodiment of the present invention for judging short sleep, it is possible to judge whether the user is at noon nap/rest according to the flowcharts.
Each sign data in a static state is firstly obtained and recorded as a first group of data, the first group of data can be changed according to the habit of a user, and one of an average value, a maximum value or a minimum value can be obtained. And the latest generation state data of the user is maintained by replacing old data with new data.
In the comparison of the second data and the first data, the action data is changed, the gyroscope detects that the user has a sleep posture, and when the sleep posture is completed and the set time is kept unchanged, the second data is recorded as the second group of data.
Other data changes of the wearable equipment are compared with other data within a set time, and the data changes can also be used as the basis for judging whether to fall asleep
Sleep postures such as a lying posture, a lying posture and a leaning posture.
When the acceleration sensor and the gyroscope detect that the body movement and the gesture of the user are switched to the sleep gesture, and the sleep gesture is kept at a set time, the sound sensor acquires an environment sound signal and a respiratory sound signal.
And comparing the environmental sound signal and the respiratory sound signal in the second group of data with the first group of data, and judging that the user enters a sleep state if the environmental sound signal is lower than a preset value and the respiratory sound signal is higher than a reference value and has no change in a set time period.
And comparing the heart rate, the blood pressure and the temperature values in the second group of data with the heart rate, the blood pressure and the temperature values in the first group of data, and judging that the user sleeps if the heart rate value, the blood pressure value and the temperature value are lower than the corresponding values in the first group of data.
The above is one embodiment, and in other identical alternatives, the data comparisons may be made simultaneously, or alternatively, in order of precedence.
When judging the environmental sound, firstly, obtaining an environmental sound signal through a sound sensor, and calculating the decibel value of the environmental sound in a time period, wherein the environmental sound comprises speaking sound, mouse clicking sound, keyboard clicking sound and other environmental sounds. Calculating an average decibel value, a maximum decibel value and a minimum decibel value of the environmental sound in the time period, and selecting one of the average decibel value, the maximum decibel value and the minimum decibel value as an environmental sound reference value.
The method comprises the steps that respiratory sound is obtained by a sound sensor, an ambient sound signal is obtained firstly, when the ambient sound is quiet, the respiratory sound signal is extracted, and after filtering and amplifying, the decibel value and the frequency of respiration are obtained and are used as a first group of data. And calculating an average decibel value, a maximum decibel value and a minimum decibel value of the respiratory sound in the time period, and selecting one of the average decibel value, the maximum decibel value and the minimum decibel value as a respiratory sound reference value.
Assuming that the set period of time is 1 minute, a time point at which the user falls asleep is recorded and judged, and on the basis of the time point, a time of 1 minute is subtracted as the time point at which the user falls asleep.
During the period from sleep to sleep, the heart rate value changes slowly, and the heart rate sensor can not predict the time point of falling asleep, but can detect the sign value during sleep by using the heart rate.
The wearable device detects data change, namely data difference between data sets, such as change of action gesture or change of sound, acquires heart rate data, blood pressure data and body temperature, verifies whether a user is in a sleep state through the heart rate data, the blood pressure data or the body temperature, and continuously monitors the heart rate data, the blood pressure data and the body temperature of the user in the sleep state.
The wearable device continuously monitors the blood pressure value and the heart rate value of the user, and can be used for continuously monitoring the blood pressure value and the heart rate value of the user besides verifying whether the user enters a sleep state. The average blood pressure value and the average heart rate value are different between sleeping and waking, and whether the user is sleeping can be judged through the blood pressure value and the heart rate value.
When detecting that the user has short body movement and posture change in the sleeping process, namely the accelerometer has signals and a gyroscope, detecting whether the body movement and posture are continuous movement change, and if not, determining that the user is still sleeping.
If the user has continuous action within the set time or detects the gesture change of the user, the sign data of the current time point is recorded and stored as third data.
The posture changes such as sitting, standing, walking, moving and the like.
And the third group of data of the posture change acquired by the wearable equipment is respectively compared with the second group of data and the first group of data, and is consistent with the second group of data in comparison, so that the user is judged to be in a sleep state.
And judging that the user is inconsistent with the second group of data, comparing the data with the first group of data, judging that the user is in an awake state if the data is consistent with the sign data, and recording the awake time.
The starting point in time of the apersistence event is recorded as the wakeup time.
The body movement and posture change process of the transient sleep is complete, namely, the normal body movement and posture is switched to the sleep posture, and then the sleep posture is switched to the normal body movement and posture, and the process is a transient sleep process. If the same physical movement occurs multiple times, it cannot be judged that the short sleep is ended.
As shown in fig. 6-7, there is another method of judging a short sleep in the second embodiment of the present invention.
The wearing equipment records physical sign data at intervals of a certain time, each record is stored as a group of data, and three adjacent groups of data, such as a first group of data, a second group of data and a third group of data, are recorded.
And comparing the second group of data with each sign data of the first group of data, and judging that the user is normally active if the data are consistent, similar or basically consistent.
If the data are different, analysis is carried out, if the body movement and the posture are changed or the sound data are changed, and then the data are compared with other physical sign data, such as heart rate, body temperature and blood pressure are continuously reduced, and the user is judged to go to sleep.
Specifically, if the body movement and the gesture judge that the user has the sleeping action, the environment sound is lower than the data of the first group, and the breathing sound is higher than the data of the first group, the sleeping state of the user is judged. And then comparing with other sign data, such as heart rate, body temperature and blood pressure, and judging that the user falls into sleep.
And after the user is judged to enter a quasi-sleeping state or sleep, continuously detecting the comparison of the data with the second group of data and the first group of data, and judging that the user is sleeping if the data is not consistent or similar or basically consistent.
If the data are different, analysis is carried out, if the body movement and the posture are changed or the sound data are changed, and then the data are compared with other physical sign data, such as heart rate, body temperature and blood pressure, the user is judged to wake up.
Specifically, if the body movement and the posture determine that the user has normal actions, such as sitting up, standing up and the like, the environmental sound is higher than the first group of data, the respiratory sound is lower than the first group of data, and then the user is determined to wake up by comparing with other sign data, such as heart rate, body temperature and blood pressure, continuously rising.
Continuously monitoring the physical sign data of the user, circularly storing the first group of data, the second group of data and the third group of data, and repeating the steps.
The invention provides a proposal for short sleep (such as short sleep of about half an hour), such as sleeping of office workers and middle school students, generally within half an hour, and mostly adopting lying down to sleep or lying against on a sofa to sleep. Because the afternoon nap time is short and the appearance of sleeping is not time-consuming, hardly detect through current sleep monitoring means.
Taking afternoon nap as an example, the afternoon nap time is inconsistent, the shortest time is 10-15 minutes, and the longest time is more than 2 hours. The afternoon nap within half an hour can not detect sleep through the gyroscope or the accelerometer, and the defect of the gyroscope or the accelerometer is that the error is relatively big, and the short-time afternoon nap can not be detected. The simple gyroscope/accelerometer detects sleep by monitoring whether there is a relatively large motion within a certain period of time (typically 20 minutes or longer), if there is no or less motion, it is determined that you are in a sleep state, and if there is little motion, it is determined that you are in a deep sleep state. In the prior art, when a sleep state is detected through the gyroscope/accelerometer Ji Gang, afternoon nap of a person is finished or is finished without detection, and short-term sleep cannot be detected only by the gyroscope/accelerometer.
The method for detecting sleep by the heart rate sensor is suitable for sleeping at night, the heart rate can be reduced during sleeping at night, and when a user sleeps deeply, the heart rate can be reduced to be lower, and different sleep states of the user can be obtained according to the change of the heart rate to monitor the sleep. But for a short duration of afternoon nap or nap, the heart rate drop is not significant. In addition, if the heart is pressed when the user falls on the groveling sleep in afternoon, the heart rate change is large and is different from the heart rate value of night sleep, so that the current method for detecting sleep only through the heart rate sensor is not suitable for monitoring short-term sleep. Therefore, the method of the embodiment of the invention is needed, and the sleep state is judged by comparing various parameters.
The method improves the accuracy of sleep state monitoring, namely the accuracy of sleep state judgment in the sleep process, and the judgment of the falling time is generally within more than ten minutes after sleeping, and the judgment of the falling time is not accurate. For afternoon naps, especially brief sleep, this monitoring method is not significant.
The short sleep detection needs to be solved: the determination of the fall asleep time is accurate and is not limited to the posture and time period of sleep. Therefore, on the basis of the prior art, aiming at the characteristic of short sleep, the wearable device collects sound data, wherein the sound data comprises environmental sounds and respiratory sounds.
If the user is at the afternoon nap in the office, the environment comparison key is used for acquiring the environment sound through the wearable device, and then the heart rate and the gyroscope data are combined to judge whether the user is at the afternoon nap.
During sleeping, the tracheal muscles are relaxed, the breathing is heavier, even snore can be generated, and whether sleeping is judged through the breathing sound and the snore.
When sleeping, the body temperature can be slightly reduced, the body temperature of the user is obtained through the body temperature sensor, and when the body temperature is lower than a normal value, the user is judged to be sleeping.
In an embodiment of the invention, a wearable smart watch is configured, the wearable smart watch having at least an acceleration sensor, a gyroscope, a heart rate sensor, a sound sensor, and a body temperature sensor, and a smart terminal in communication with the wearable smart watch. Wearing the intelligent watch to acquire action data, heart rate data, sound data and body temperature data of a user, and acquiring the starting time, the afternoon nap state and the afternoon nap ending time of the user on the APP of the intelligent terminal through an algorithm for the user to check.
The sleeping state is information such as breathing condition, blood pressure data, heart rate data and temperature change during sleeping, turning times during afternoon nap, whether head movement exists during lying down to sleep or not.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method for monitoring brief sleep, comprising the steps of:
configuring wearing equipment, acquiring various data of a non-sleep state of a user in advance, and storing the data as a first group of data;
acquiring a second group of data, comparing the second group of data with one or more of body movement and posture, environmental sound and respiratory sound in the first group of data, and judging that the user is in a quasi-sleeping state if the second group of data is inconsistent;
and acquiring a third group of data, respectively comparing the third group of data with the second group of data and the first group of data, and judging that the user is in an awake state if the third group of data is inconsistent with the second group of data and each item of data is close to the first group of data.
2. The method for monitoring brief sleep according to claim 1, wherein the second set of data and the first set of data have data changes at a set time, the gyroscope detects that the user has a sleep posture, the environmental sound signal and the respiratory sound signal are compared with the first set of data, and if the environmental sound signal is lower than a preset value, the respiratory sound signal is higher than a reference value, and no change occurs in the set time period, the user is judged to enter an admittance sleep state.
3. The method for monitoring short sleep according to claim 2, wherein the wearable device detects the data change, acquires heart rate data, blood pressure data and body temperature within a set time, verifies whether the user is in a sleep state by the heart rate data, the blood pressure data or the body temperature, and continuously monitors the heart rate data, the blood pressure data and the body temperature of the user in the sleep state.
4. The method for monitoring short sleep according to claim 3, wherein the wearable device records the time of sleeping when the user is judged to be sleeping, and subtracts the set time as the time point of sleeping.
5. The method for monitoring brief sleep according to claim 2, wherein the wearable device acquires an environmental sound signal of the first set of data, calculates an average decibel value, a maximum decibel value or a minimum decibel value of the environmental sound in the time period, and selects one of the average decibel value, the maximum decibel value or the minimum decibel value as the environmental sound preset value.
6. The method for monitoring short sleep according to claim 2, wherein the wearable device acquires a first set of data, extracts a breathing sound signal, acquires a breathing decibel value and a breathing frequency after filtering and amplifying, calculates an average decibel value, a maximum decibel value and a minimum decibel value of the breathing sound in a time period, and selects one of the average decibel value, the maximum decibel value or the minimum decibel value of the breathing sound as the breathing sound reference value.
7. The method for monitoring brief sleep according to any one of claims 5 or 6, wherein the environmental sound signal and the respiratory sound signal of the second set of data are acquired, and the user is judged to enter the sleep state when the decibel value of the environmental sound is lower than the environmental sound preset value and the respiratory sound is higher than the respiratory sound reference value.
8. The method for monitoring short sleep according to claim 1, wherein the heart rate sensor, the blood pressure sensor and the temperature sensor of the wearable device monitor that heart rate values and blood pressure values of the user are stored in the second set of data, and compare the heart rate values and the blood pressure values in the first set of data to determine whether the user is in a sleep state.
9. The method for monitoring short sleep according to claim 8, wherein the third set of data of the data change acquired by the wearable device is respectively compared with the second set of data and the first set of data, and is consistent with the second set of data, and the user is judged to be in a sleep state;
and when the judgment of the first group of data is inconsistent with the judgment of the second group of data, comparing the first group of data, judging that the user is in an awake state if the sign data is consistent with the first group of data, and recording the awake time.
10. The method for monitoring short sleep according to claim 1, wherein the wearable device is in communication with the intelligent terminal in advance, the age and occupation of the user are acquired on the mobile terminal, the age and occupation information is filled in on the intelligent terminal, and the information is sent to the wearable device or reserved on the mobile terminal APP through the mobile terminal APP.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211566084 | 2022-12-07 | ||
| CN2022115660846 | 2022-12-07 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117503055A true CN117503055A (en) | 2024-02-06 |
Family
ID=89755916
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311429844.3A Pending CN117503055A (en) | 2022-12-07 | 2023-10-31 | Monitoring method for short sleep |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117503055A (en) |
-
2023
- 2023-10-31 CN CN202311429844.3A patent/CN117503055A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11589805B2 (en) | Adjusting alarms based on sleep onset latency | |
| CN108042108B (en) | Sleep quality monitoring method and system based on body vibration signals | |
| US9848786B2 (en) | Infant monitoring system and methods | |
| JP4023429B2 (en) | Portable biological information monitor device | |
| JP5740006B2 (en) | Respiration measurement system and REM sleep determination system | |
| CN107106085A (en) | Apparatus and method for sleep monitor | |
| US20160038061A1 (en) | Method for detecting falls and a fall detector | |
| US20160246259A1 (en) | Method, appararus and wearable apparatus for automatically reminding user to sleep | |
| JP2004254827A (en) | Sleeping state judging device | |
| CN111657855B (en) | Sleep evaluation and sleep awakening method and device and electronic equipment | |
| JPWO2013171799A1 (en) | Biological rhythm estimation device | |
| WO2018207051A1 (en) | A system and method for monitoring human performance | |
| JP7250647B2 (en) | Nap assistance system and program for nap assistance | |
| US9968293B1 (en) | Detecting and estimating sleep stages | |
| JP3822796B2 (en) | Information processing apparatus, information processing program, and recording medium | |
| JP2015131008A (en) | Sleep evaluation apparatus | |
| CN117503055A (en) | Monitoring method for short sleep | |
| CN107029336A (en) | sleep arousal system and method | |
| CN116115198A (en) | Low-power consumption snore automatic recording method and device based on physiological sign | |
| CN116048250A (en) | Sleep management method and device based on wearable equipment | |
| CN113520339B (en) | Sleep data validity analysis method and device and wearable device | |
| CN217723478U (en) | Non-contact sleep monitoring device | |
| WO2024094929A1 (en) | Predicting awake-time alertness | |
| CN117732020A (en) | Human body posture switching identification method and related device | |
| CN112168154A (en) | Sleep quality and health condition analysis system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication |