CN112244773A - Sleep quality monitoring device and method and mattress - Google Patents
Sleep quality monitoring device and method and mattress Download PDFInfo
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- CN112244773A CN112244773A CN202011105420.8A CN202011105420A CN112244773A CN 112244773 A CN112244773 A CN 112244773A CN 202011105420 A CN202011105420 A CN 202011105420A CN 112244773 A CN112244773 A CN 112244773A
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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
- A61B5/4815—Sleep quality
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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
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
- A61B5/4812—Detecting sleep stages or cycles
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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
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6887—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
- A61B5/6892—Mats
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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
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7225—Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation
Abstract
The embodiment of the invention relates to the technical field of sleep quality monitoring, and discloses a sleep quality monitoring device and method and a mattress. The device, comprising: the pressure sensor is used for acquiring an air pressure signal in an air bag arranged below the mattress; wherein, the air pressure signal in the air bag changes along with the body movement change of a human body lying above the mattress; the signal conversion unit is electrically connected with the pressure sensor and used for obtaining the information of the heartbeat frequency of the human body according to the air pressure signal; and the processing unit is electrically connected with the signal conversion unit and is used for obtaining the sleep state of the human body according to the information of the heartbeat frequency. According to the embodiment of the invention, the human sleep data is acquired in a non-invasive manner, so that the sleep quality is effectively monitored on the premise of not influencing the sleep quality.
Description
Technical Field
The invention relates to the technical field of sleep quality monitoring, in particular to a sleep quality monitoring device and method and a mattress.
Background
The current standard method for monitoring sleep quality is to adopt electroencephalogram (EEG) signals, and relevant equipment needs to be placed on the brain of a human for acquiring the EEG signals, which belongs to typical invasive equipment, and the scheme can influence sleep to a certain extent. In addition, a common scheme is to obtain sleep information by collecting physiological information of a human body by using wearable equipment, such as a bracelet, but the scheme still needs to wear related equipment and still belongs to low-invasive equipment.
Disclosure of Invention
The invention aims to provide a sleep quality monitoring device, a sleep quality monitoring method and a mattress, which can acquire human sleep data in a non-invasive mode, so that the sleep quality can be effectively monitored on the premise of not influencing the sleep quality.
In order to solve the above technical problem, an embodiment of the present invention provides a sleep quality monitoring apparatus, including:
the pressure sensor is used for acquiring an air pressure signal in an air bag arranged below the mattress; wherein, the air pressure signal in the air bag changes along with the body movement change of a human body lying above the mattress;
the signal conversion unit is electrically connected with the pressure sensor and used for obtaining the information of the heartbeat frequency of the human body according to the air pressure signal;
and the processing unit is electrically connected with the signal conversion unit and is used for obtaining the sleep state of the human body according to the information of the heartbeat frequency.
Embodiments of the present invention also provide a mattress comprising a mattress body and a sleep quality monitoring device as described above.
The embodiment of the invention also provides a sleep quality monitoring method, which is applied to the sleep quality monitoring device, and the method comprises the following steps:
acquiring human body heartbeat frequency data in a preset time period;
smoothing the human body heartbeat frequency data to obtain a smooth heartbeat rate and a smooth threshold value;
and determining whether the human body is in a REM sleep state of the snap eye according to the smooth heartbeat rate and a smooth threshold value.
The embodiment of the invention also provides a sleep quality monitoring device, which comprises:
the acquisition module is used for acquiring human body heartbeat frequency data in a preset time period;
the smoothing module is used for smoothing the human body heartbeat frequency data to obtain a smooth heartbeat rate and a smooth threshold value;
and the calculation module is used for determining whether the human body is in a REM sleep state of the snap eye according to the smooth heartbeat rate and the smooth threshold value.
Compared with the prior art, the embodiment of the invention collects the pressure signal in the air bag arranged below the mattress, and the pressure signal can change along with the change of the body movement signal of the human body on the mattress, so that the pressure signal can reflect the heartbeat frequency information of the human body, and then the pressure signal is converted into the heartbeat frequency information of the human body, thereby monitoring the sleep quality according to the heartbeat frequency information of the human body. Therefore, the embodiment of the invention belongs to non-invasive sleep quality monitoring, and not only can effectively monitor the sleep quality, but also can not influence the sleep.
As one embodiment, the signal conversion unit includes:
the filter is electrically connected with the output end of the pressure sensor and is used for filtering the air pressure signal output by the pressure sensor;
and the Fourier transform unit is electrically connected with the output end of the filter and is used for performing Fourier transform on the filtered air pressure signal and taking the position of the maximum value of the energy in the Fourier transform result as the heartbeat frequency of the human body.
As one embodiment, the signal conversion unit includes:
the filter is electrically connected with the output end of the pressure sensor and is used for filtering the air pressure signal output by the pressure sensor;
and the Fourier transform unit is electrically connected with the output end of the filter and is used for performing Fourier transform on the filtered air pressure signal and taking the position of the maximum value of the energy in the Fourier transform result as the heartbeat frequency of the human body.
As one embodiment, the filter is an infinite impulse response band pass filter.
As one example, the sleep state is a snap-eye REM sleep state.
As an embodiment, the determining whether the human body is in the REM sleep state according to the smoothed heartbeat rate and a smoothing threshold includes:
and if the smooth heartbeat rate is greater than the sum of the smooth threshold value and a preset coefficient, determining that the human body meets the REM sleep condition, and determining that the human body is in the REM sleep state if the sleep duration time meeting the REM sleep condition is greater than a preset time length.
As an embodiment, the smoothing processing on the human heartbeat frequency data to obtain a smoothed heartbeat rate and a smoothed threshold includes:
and obtaining the smooth heartbeat rate and the smooth threshold value by adopting a local weighted regression smoothing method.
As an embodiment, the step size parameter used for obtaining the smoothed heartbeat rate by the local weighted regression smoothing method is 15 minutes; the step length parameter used for obtaining the smoothing threshold value by the local weighted regression smoothing method is 120 minutes.
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 introduced below, it is understood 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 schematic structural diagram of a sleep quality monitoring apparatus according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a sleep quality monitoring apparatus according to another embodiment of the present invention;
fig. 3 is a schematic view of air pressure signal data collected by the sleep quality monitoring apparatus according to the embodiment of the present invention;
fig. 4 is a schematic diagram of heartbeat data after filtering in a sleep quality monitoring apparatus according to an embodiment of the present invention;
fig. 5 is a schematic diagram of heartbeat frequency data obtained by the sleep quality monitoring apparatus according to the embodiment of the present invention;
FIG. 6 is a schematic diagram of a data processing result of human heartbeat frequency according to an embodiment of the present invention;
fig. 7 is a flowchart of a sleep quality monitoring method according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of a sleep quality monitoring apparatus according to an embodiment of the present invention;
fig. 9 is a schematic structural diagram of a sleep quality monitoring apparatus according to an embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a sleep quality monitoring device and a method, wherein an air bag is arranged below a mattress, and the air pressure in the air bag changes along with the change of the body movement of a human body lying above the mattress, namely the air pressure of the air bag can reflect the heartbeat frequency information of the human body, then the sleep state is obtained according to the heartbeat frequency information of the human body after the interference caused by the heartbeat frequency information of the human body due to the reasons of human body turning and the like is removed by smoothly processing the heartbeat frequency information of the human body by acquiring an air pressure signal in the air bag and converting the air pressure signal into the heartbeat frequency information of the human body.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, embodiments of the present invention will be described in detail below with reference to the accompanying drawings. However, it will be appreciated by those of ordinary skill in the art that numerous technical details are set forth in order to provide a better understanding of the present invention in its various embodiments. However, the technical solution claimed in the present invention can be implemented without these technical details and various changes and modifications based on the following embodiments.
As shown in fig. 1, the sleep quality monitoring apparatus of the present embodiment includes:
and the pressure sensor 101 is used for acquiring air pressure signals in an air bag arranged below the mattress. Wherein, the air pressure signal in the air bag changes along with the body movement of the human body lying above the mattress.
And a signal conversion unit 102 electrically connected to the pressure sensor 101 and configured to obtain information of the heartbeat frequency of the human body from the air pressure signal.
And the processing unit 103 is electrically connected with the signal conversion unit 102 and is used for obtaining the sleep state of the human body according to the information of the heartbeat frequency.
Specifically, the mattress can select for use foam mattress or latex mattress to in being convenient for transmit the fine motion information of the human body of lying on it to the gasbag of mattress below, but not limited to this, in practical application, can also select other mattresses that can well transmit human fine motion information. The air bag can be sealed in the mattress, the shape and the size of the air bag can be determined according to the range of the human body micro-motion information which needs to be collected, and the sensitivity of the air pressure change of the air bag only needs to meet the precision requirement of collecting the human body micro-motion information, and is not particularly limited. The pressure sensor 101 is connected with the air bag, when a person lies on the mattress, all actions change the pressure value in the air bag, the heartbeat can make the human body generate slight body movement, similar to pulse beat, and the body movement can change the pressure in the air bag and is captured and recorded by the pressure sensor. Those skilled in the art can select the type of the pressure sensor 101 according to the accuracy of the air pressure signal to be collected in the present embodiment, and the present embodiment does not limit the type of the pressure sensor 101, as long as the pressure sensor is suitable for collecting the air pressure signal in the air bag and is convenient to set.
Optionally, as shown in fig. 2, in this embodiment, the signal conversion unit 102 includes:
and a filter 1021, electrically connected to the output terminal of the pressure sensor 101, for filtering the air pressure signal output by the pressure sensor 101.
A fourier transform unit 1022, electrically connected to the output end of the filter 1021, for performing fourier transform on the filtered air pressure signal, and using the position of the maximum value of energy in the fourier transform result as the heartbeat frequency of the human body.
Optionally, in this embodiment, the filter 1021 may be an Infinite Impulse Response (IIR) band-pass filter, but is not limited thereto, and other suitable filters may be selected. Fourier transform section 1022 performs fourier transform on each of the obtained signals, and then takes the position of the maximum value of the fourier transform energy, which is the heartbeat frequency. The fourier transform unit 1022 may use a fast fourier transformer or other suitable fourier transformer. The filter 1021 and the fourier transform unit 1022 may be discrete devices or integrated in the processing unit 103, and are not limited in particular.
Fig. 3 is a schematic diagram of pressure signal data in an air bag acquired by a pressure sensor in the sleep quality monitoring device of the present embodiment, fig. 4 is a schematic diagram of pressure signal data after a filter in the sleep quality monitoring device of the present embodiment filters an acquired pressure signal, and fig. 5 is a schematic diagram of data of a heartbeat frequency of a human body obtained after a fourier transform unit in the sleep quality monitoring device of the present embodiment transforms the filtered pressure signal data. Therefore, the sleep quality monitoring device according to the embodiment can obtain accurate and reliable heartbeat frequency information when the human body sleeps.
Optionally, in this embodiment, the monitored sleep state is a rapid eye movement REM sleep state. The processing unit 103 may monitor whether the human body is in the REM sleep state using the sleep quality monitoring method of the following embodiments. However, the REM sleep state may also be obtained by other suitable methods according to the information of the heart rate of the human body, and is not limited in this respect.
Compared with the prior art, the sleep quality monitoring device of the embodiment collects pressure signals in the air bag through the pressure sensor, filters interference signals caused by the turning-over of a human body and other reasons through the IIR band-pass filter, then performs Fourier transform on the filtered air pressure signals through the Fourier transform unit to obtain heartbeat frequency information of the human body, and the processing unit obtains a sleep state according to the heartbeat frequency information of the human body. Therefore, the embodiment can realize non-invasive sleep quality monitoring, and compared with an invasive sleep quality monitoring mode, the sleep quality monitoring method has the advantages that the sleep is not influenced, and the sleep quality monitoring result is accurate and reliable.
The embodiment of the invention also provides a mattress, which comprises a mattress body and the sleep quality monitoring device in the embodiment.
As shown in fig. 7, an embodiment of the present invention further provides a sleep quality monitoring method, which includes steps 701 to 703.
Step 701: acquiring human body heartbeat frequency data in a preset time period.
Step 702: and smoothing the human body heartbeat frequency data to obtain a smooth heartbeat rate and a smooth threshold value.
Step 703: and determining whether the human body is in the REM sleep state according to the smooth heartbeat rate and the smooth threshold value.
Specifically, the preset time period in step 701 may be an overnight sleep time. Fig. 6 is a schematic diagram of data of the heartbeat frequency of the sleep of the whole night based on the sleep quality monitoring device of the foregoing embodiment. As can be seen from fig. 6, the obtained heartbeat frequency data of the human body is inaccurate due to the fact that the human body turns over during sleeping and other interferences.
Optionally, the step 702 performs a smoothing process on the human heartbeat frequency data to obtain a smoothed heartbeat rate and a smoothed threshold, including: and obtaining the smooth heartbeat rate and the smooth threshold value by adopting a local weighted regression smoothing method. Further, in this embodiment, the step length parameter used for obtaining the smoothed heartbeat rate by the local weighted regression smoothing method is 15 minutes; the step length parameter used for obtaining the smoothing threshold value by the local weighted regression smoothing method is 120 minutes. As shown in fig. 6, the original human sleep data, the smoothed heartbeat rate obtained after lowess smoothing with the step size parameter of 15 minutes, and the smoothed heartbeat rate obtained after lowess smoothing with the step size parameter of 120 minutes are respectively shown. Interference information can be effectively removed through lowess smoothing processing, so that the obtained human heartbeat frequency is more accurate. However, in practical applications, other suitable smoothing methods may be selected to smooth the heartbeat frequency data.
Optionally, the step 703 of determining whether the human body is in the REM sleep state according to the smoothed heartbeat rate and the smoothing threshold includes: and if the smooth heartbeat rate is greater than the sum of the smooth threshold value and the preset coefficient, determining that the human body meets the REM sleep condition, and determining that the human body is in the REM sleep state if the sleep duration time meeting the REM sleep condition is greater than the preset time length. Specifically, in the embodiment, the predetermined coefficient is 0.4, and the predetermined coefficient is generated based on the statistical result of the big data, so that the determination of the REM sleep condition is more accurate and universal. The preset time duration can be 10 minutes, namely when the duration of the human body under the sleep condition is more than 10 minutes, the human body can be judged to enter the REM sleep state, otherwise, the human body is not considered to enter the REM sleep state. It should be understood that the present embodiment is not limited to specific values of the preset coefficient and the preset duration.
Compared with the prior art, the sleep quality monitoring method of the embodiment obtains the heartbeat frequency information of the human body during sleep through the non-invasive sleep quality monitoring device, removes interference information of human body turning over and the like through smoothing the heartbeat frequency information, and obtains the sleep state according to accurate human body heartbeat frequency information. In addition, the sleep quality monitoring method of this embodiment compares the result with a standard data set, the accuracy of the REM sleep state is over 90%, and the standard data set is the REM sleep state calculated by the Polysomnography (PSG, Polysomnography) signal obtained by other invasive methods.
As shown in fig. 8, an embodiment of the present invention further provides a sleep quality monitoring apparatus 800, where the apparatus 800 includes:
an obtaining module 801, configured to obtain human heartbeat frequency data within a preset time period;
a smoothing module 802, configured to perform smoothing processing on the human heartbeat frequency data to obtain a smoothed heartbeat rate and a smoothed threshold;
a calculating module 803, configured to determine whether the human body is in a REM sleep state according to the smoothed heartbeat rate and a smoothing threshold.
Optionally, the smoothing module 802 is configured to obtain the smoothed heartbeat rate and the smoothing threshold by using a local weighted regression smoothing method.
Further, the step length parameter used by the smoothing module 802 to obtain the smoothed heartbeat rate through the local weighted regression smoothing method is 15 minutes; the step length parameter used for obtaining the smoothing threshold value by the local weighted regression smoothing method is 120 minutes.
Optionally, the calculating module 803 is specifically configured to determine that the human body meets the REM sleep condition if the smooth heartbeat rate is greater than the sum of the smooth threshold and a preset coefficient, and determine that the human body is in the REM sleep state if the sleep duration meeting the REM sleep condition is greater than a preset duration.
Compared with the prior art, the sleep quality monitoring device of the embodiment obtains the heartbeat frequency information of the human body during sleep through the non-invasive sleep quality monitoring device, and removes interference information of the human body turning over and the like through smoothing the heartbeat frequency information, and then obtains the sleep state according to the accurate heartbeat frequency information of the human body. In addition, the sleep quality monitoring method of this embodiment compares the result with a standard data set, the accuracy of the REM sleep state is over 90%, and the standard data set is the REM sleep state calculated by the Polysomnography (PSG, Polysomnography) signal obtained by other invasive methods.
An embodiment of the present invention further provides a sleep quality monitoring apparatus, as shown in fig. 9, the apparatus includes: a memory 902, a processor 901;
wherein the memory 902 stores instructions executable by the at least one processor 901, and the instructions are executed by the at least one processor 901 to implement the sleep quality monitoring method according to the foregoing embodiment.
The sleep quality monitoring apparatus includes one or more processors 901 and a memory 902, and one processor 901 is taken as an example in fig. 9. The processor 901 and the memory 902 may be connected by a bus or other means, and fig. 7 illustrates an example of connection by a bus. Memory 902, which is a non-volatile computer-readable storage medium, may be used to store non-volatile software programs, non-volatile computer-executable programs, and modules. The processor 901 executes various functional applications and data processing of the device by running non-volatile software programs, instructions and modules stored in the memory 902, that is, implements the sleep quality monitoring method described above.
The memory 902 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function. Further, the memory 902 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device.
One or more modules are stored in the memory 902 and when executed by the one or more processors 901 perform the sleep quality monitoring method of any of the above-described method embodiments.
Compared with the prior art, the sleep quality monitoring equipment of the embodiment obtains the heartbeat frequency information of the human body during sleep through the non-invasive sleep quality monitoring device, and removes the interference information of the human body turning over and the like through smoothing the heartbeat frequency information, and then obtains the sleep state according to the accurate heartbeat frequency information of the human body. In addition, the sleep quality monitoring method of this embodiment compares the result with a standard data set, the accuracy of the REM sleep state is over 90%, and the standard data set is the REM sleep state calculated by the Polysomnography (PSG, Polysomnography) signal obtained by other invasive methods.
The above-mentioned device can execute the method provided by the embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method, and reference may be made to the method provided by the embodiment of the present invention for technical details that are not described in detail in the embodiment.
An embodiment of the present application further provides a non-volatile storage medium for storing a computer-readable program, where the computer-readable program is used for a computer to execute some or all of the above method embodiments.
That is, those skilled in the art can understand that all or part of the steps in the method according to the above embodiments may be implemented by a program instructing related hardware, where the program is stored in a storage medium and includes several instructions to enable a device (which may be a single chip, a chip, etc.) or a processor (processor) to execute all or part of the steps in the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
It will be understood by those of ordinary skill in the art that the foregoing embodiments are specific examples for carrying out the invention, and that various changes in form and details may be made therein without departing from the spirit and scope of the invention in practice.
Claims (10)
1. A sleep quality monitoring device, comprising:
the pressure sensor is used for acquiring an air pressure signal in an air bag arranged below the mattress; wherein, the air pressure signal in the air bag changes along with the body movement change of a human body lying above the mattress;
the signal conversion unit is electrically connected with the pressure sensor and used for obtaining the information of the heartbeat frequency of the human body according to the air pressure signal;
and the processing unit is electrically connected with the signal conversion unit and is used for obtaining the sleep state of the human body according to the information of the heartbeat frequency.
2. The sleep quality monitoring device according to claim 1, wherein the signal conversion unit includes:
the filter is electrically connected with the output end of the pressure sensor and is used for filtering the air pressure signal output by the pressure sensor;
and the Fourier transform unit is electrically connected with the output end of the filter and is used for performing Fourier transform on the filtered air pressure signal and taking the position of the maximum value of the energy in the Fourier transform result as the heartbeat frequency of the human body.
3. The sleep quality monitoring device according to claim 2, wherein the filter is an infinite impulse response band pass filter.
4. The sleep quality monitoring device according to any one of claims 1 to 3, characterized in that the sleep state is a rapid eye REM sleep state.
5. A mattress comprising a mattress body and a sleep quality monitoring device as claimed in any one of claims 1 to 4.
6. A sleep quality monitoring method applied to the sleep quality monitoring apparatus according to any one of claims 1 to 4, the method comprising:
acquiring human body heartbeat frequency data in a preset time period;
smoothing the human body heartbeat frequency data to obtain a smooth heartbeat rate and a smooth threshold value;
and determining whether the human body is in a REM sleep state of the snap eye according to the smooth heartbeat rate and a smooth threshold value.
7. The sleep quality monitoring method according to claim 6, wherein the determining whether the human body is in the REM sleep state according to the smoothed heartbeat rate and a smoothing threshold comprises:
and if the smooth heartbeat rate is greater than the sum of the smooth threshold value and a preset coefficient, determining that the human body meets the REM sleep condition, and determining that the human body is in the REM sleep state if the sleep duration time meeting the REM sleep condition is greater than a preset time length.
8. The sleep quality monitoring method according to claim 6, wherein the smoothing of the human heartbeat frequency data to obtain a smoothed heartbeat rate and a smoothed threshold value comprises:
and obtaining the smooth heartbeat rate and the smooth threshold value by adopting a local weighted regression smoothing method.
9. The sleep quality monitoring method according to claim 8, wherein the step size parameter used for obtaining the smoothed heartbeat rate by the local weighted regression smoothing method is 15 minutes; the step length parameter used for obtaining the smoothing threshold value by the local weighted regression smoothing method is 120 minutes.
10. A sleep quality monitoring device, comprising:
the acquisition module is used for acquiring human body heartbeat frequency data in a preset time period;
the smoothing module is used for smoothing the human body heartbeat frequency data to obtain a smooth heartbeat rate and a smooth threshold value;
and the calculation module is used for determining whether the human body is in a REM sleep state of the snap eye according to the smooth heartbeat rate and the smooth threshold value.
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| CN113679344A (en) * | 2021-07-30 | 2021-11-23 | 深圳数联天下智能科技有限公司 | Sleep monitor detection method and device and sleep monitor |
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| CN113679344A (en) * | 2021-07-30 | 2021-11-23 | 深圳数联天下智能科技有限公司 | Sleep monitor detection method and device and sleep monitor |
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