CN108926328B - Sleep quality monitoring system - Google Patents

Sleep quality monitoring system Download PDF

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CN108926328B
CN108926328B CN201710376187.9A CN201710376187A CN108926328B CN 108926328 B CN108926328 B CN 108926328B CN 201710376187 A CN201710376187 A CN 201710376187A CN 108926328 B CN108926328 B CN 108926328B
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sleep
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body temperature
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human body
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CN108926328A (en
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黄宗正
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/01Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0004Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
    • A61B5/0008Temperature signals
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0015Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
    • A61B5/0022Monitoring a patient using a global network, e.g. telephone networks, internet
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/48Other medical applications
    • A61B5/4806Sleep evaluation
    • A61B5/4812Detecting sleep stages or cycles
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/48Other medical applications
    • A61B5/4806Sleep evaluation
    • A61B5/4815Sleep quality
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801Arrangements 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
    • A61B5/683Means for maintaining contact with the body
    • A61B5/6832Means for maintaining contact with the body using adhesives
    • A61B5/6833Adhesive patches

Abstract

A sleep quality monitoring system comprises a physiological measurement device and a data processing device. The physiological measurement device measures and records the body temperature of a human body during sleep, and outputs body temperature data which is related to the body temperature of the human body and changes along with time. The data processing device is in signal connection with the physiological measurement device, receives the body temperature data, analyzes and outputs a sleep state according to the body temperature data, and judges a sleep effect of the human body at least according to the sleep state. The invention can measure and record the body temperature when the human body sleeps, can automatically analyze the effect and the quality of the human body sleeping according to the recorded body temperature, and has the advantages of eliminating the problem of non-objective factors and reliability caused by human factors and low cost.

Description

Sleep quality monitoring system
Technical Field
The invention relates to a monitoring system, in particular to a sleep quality monitoring system capable of recording the sleep state of a human body for a long time.
Background
Generally, an electroencephalogram (EEG) recorder is used to record the sleep state of a human body and identify Non-Rapid Eye Movement (NREM) and Rapid Eye Movement (REM) of the human body during sleep according to electroencephalogram data output by the EEG recorder. However, since the electroencephalograph belongs to a professional medical instrument, it is necessary for a professional to operate and interpret data to function, and moreover, the electroencephalograph is expensive and can be purchased only by a large medical institution.
Therefore, there is a sleep assisting device disclosed in taiwan certificate No. I405559, which is not only portable, but also provides a user with the ability to record physiological information before and after sleep and self-evaluation every day, and automatically output advice according to the recorded information to help the user improve sleep.
However, although the sleep assisting device is portable, it cannot actually measure the physiological information of the user during the sleep period, so that it cannot identify and analyze various states of the user during the sleep period, and can only judge the sleep quality of the user by the physiological record of the user before and after the sleep and the questionnaire type evaluation of self-answering, which results in that the information reliability and objectivity of the sleep assisting device are not ideal.
Disclosure of Invention
The invention aims to provide a sleep quality monitoring system which can measure and record physiological information during the sleep period of a human body, can automatically analyze the sleep quality according to the recorded physiological information and has lower cost.
The sleep quality monitoring system of the invention comprises a physiological measuring device and a data processing device.
The physiological measurement device measures and records the body temperature of a human body during sleep, and outputs body temperature data which is related to the body temperature of the human body and changes along with time.
The data processing device is in signal connection with the physiological measurement device, receives the body temperature data, analyzes and outputs a sleep state according to the body temperature data, and judges a sleep effect of the human body according to the sleep state.
The sleep quality monitoring system comprises a sleep state, a sleep time interval, a bedtime body temperature, an awake time, a total sleep time interval, a sleep state report and at least one of a sleep quality degree.
According to the sleep quality monitoring system, the sleep time is the time when a saddle point appears for the first time in a curve of the body temperature of the human body changing along with time.
In the sleep quality monitoring system of the present invention, the data processing device analyzes the sleeping time according to the body temperature data, and determines the sleep effect according to the sleeping time and the sleeping time, wherein the sleeping time is the time when the physiological measurement device starts to record the body temperature of the human body.
In the sleep quality monitoring system of the present invention, the data processing device calculates the time interval of going to sleep, and analyzes the sleep effect according to the time interval of going to sleep, wherein the time interval of going to sleep is the time interval between the sleeping time and the time interval of going to sleep, and if the time interval of going to sleep is not less than a first judgment time interval, the data processing device judges that the sleep effect is not good.
According to the sleep quality monitoring system, the data processing device analyzes the sleeping body temperature, the waking time and the total sleep time interval according to the body temperature data, wherein the sleeping body temperature is the body temperature of the human body at the sleeping time, the waking time is the time when the body temperature of the human body rises to the sleeping body temperature and is not lower than the sleeping body temperature, and the total sleep time interval is the time length between the sleeping time and the waking time.
The invention relates to a sleep quality monitoring system, wherein the physiological measurement device comprises a temperature measurement unit for measuring the body temperature of a human body, a storage unit electrically connected with the temperature measurement unit, an interface unit electrically connected with the storage unit, and a battery unit for providing electric power for the temperature measurement unit, the storage unit and the interface unit, the temperature measurement unit outputs body temperature data according to the measured body temperature for the storage unit to store, the storage unit outputs the body temperature data and outputs the body temperature data through the interface unit, the data processing device comprises a transmission interface unit mutually corresponding to the interface unit of the physiological measurement device, a data storage unit in signal connection with the transmission interface unit, and a data analysis unit in signal connection with the data storage unit, the transmission interface unit receives the body temperature data through the interface unit and outputs a temporary storage data related to the body temperature data, the data storage unit receives and stores the temporary storage data and outputs a to-be-analyzed data related to the temporary storage data, and the data analysis unit receives and analyzes the to-be-analyzed data and at least outputs the sleep effect.
The invention relates to a sleep quality monitoring system.A data processing device comprises a data storage unit electrically connected with a physiological measurement device and a data analysis unit in signal connection with the data storage unit, wherein the data storage unit receives and stores body temperature data and outputs a to-be-analyzed data related to the body temperature data, and the data analysis unit receives and analyzes the to-be-analyzed data and at least outputs a sleep effect.
The sleep quality monitoring system also comprises an information display device which is in signal connection with the data processing device and at least received by the data processing device and displays the sleep effect.
The invention has the following effects: by means of the physiological measurement device to actually measure and record the physiological information of the human body during sleep, the problems of non-objective factors and reliability caused by human factors can be completely eliminated. In addition, the data processing device can perform the relative analysis of the sleep quality only by using the body temperature data of the human body, thereby achieving the effect of reducing the cost.
Drawings
FIG. 1 is a block diagram of a first embodiment of a sleep quality monitoring system according to the present invention;
FIG. 2 is a diagram showing a body temperature over time during sleep;
FIG. 3 is an experimental measurement chart showing a body temperature data outputted from a physiological measurement device of the first embodiment to a data processing device after the human body finishes sleeping for a first measurement day;
FIG. 4 is an experimental measurement chart showing another body temperature data outputted from the physiological measurement device to the data processing device after the human body finishes sleeping for a second measurement day;
FIG. 5 is an experimental measurement chart showing another body temperature data outputted from the physiological measurement device to the data processing device after the human body finishes sleeping for a third measurement day; and
fig. 6 is a circuit block diagram of a sleep quality monitoring system according to a second embodiment of the present invention.
Detailed Description
The present invention will be described in detail below with reference to the accompanying drawings and examples.
Before the present invention is described in detail, it should be noted that in the following description, like elements are represented by like reference numerals.
Referring to fig. 1, a first embodiment of the sleep quality monitoring system of the present invention includes a physiological measurement device 1, a data processing device 2, an information display device 3, and an environment monitoring device 4 capable of measuring room temperature.
The physiological measurement device 1 measures and records a body temperature of a human body during sleep, and outputs body temperature data related to the body temperature of the human body changing with time. The physiological measurement device 1 comprises a temperature measurement unit 11 for measuring the body temperature of the human body, a storage unit 12 electrically connected with the temperature measurement unit 11, an interface unit 13 electrically connected with the storage unit 12, and a battery unit 14 for providing electric power for the temperature measurement unit 11, the storage unit 12 and the interface unit 13.
The temperature measuring unit 11 outputs the body temperature data according to the measured body temperature for the storage unit 12 to store, and the storage unit 12 outputs the body temperature data and outputs the body temperature data through the interface unit 13. In the embodiment, the interface unit 13 is substantially a Universal Serial Bus (USB) interface, but is not limited thereto, and the interface unit may also be a wireless transmission interface, such as Bluetooth (Bluetooth), wireless local area network (Wi-Fi), or mobile communication network.
In this embodiment, the physiological measurement device 1 can be attached to the human body, and the temperature measurement unit 11 measures the body temperature by using a contact method, but not limited thereto. In addition, the physiological measurement device 1 is substantially a patch with a diameter similar to a coin, and can be attached to the temperature measurement point of the human body, such as the armpit. The advantages of using the patch to measure body temperature are: the patch is used for measuring in a contact mode, so that the patch is not easily interfered by the environment and can accurately measure the body temperature of the human body. The patch used in this example had a temperature measurement accuracy of + -0.05 deg.C within 90 seconds of reaction time.
The data processing device 2 is connected with the interface unit 13 of the physiological measurement device 1 through signals, and the data processing device 2 receives the body temperature data. The data processing device 2 comprises a transmission interface unit 21 corresponding to the interface unit 13 of the physiological measurement device 1, a data storage unit 22 in signal connection with the transmission interface unit 21, and a data analysis unit 23 in signal connection with the data storage unit 22. In the embodiment, the data processing apparatus 2 is substantially a handheld electronic apparatus, but not limited thereto, and the data processing apparatus 2 may also be a server device with a cloud computing function.
The transmission interface unit 21 receives the body temperature data from the interface unit 13 and outputs a temporary data related to the body temperature data, the data storage unit 22 receives and stores the temporary data and outputs a data to be analyzed related to the temporary data, and the data analysis unit 23 receives and analyzes the data to be analyzed and outputs at least one sleep effect. It is understood that the transmission interface unit 21 is a data transmission interface corresponding to the interface unit 13 of the physiological measurement device 1, and therefore, in the embodiment, the transmission interface unit 21 is also a usb interface, but not limited thereto, and the transmission interface unit 21 may also be a wireless transmission interface such as bluetooth, a wireless lan, or a mobile communication network.
Referring to fig. 1 and fig. 3, it is a body temperature data outputted from the physiological measurement device 1 to the data processing device 2 after the sleep of the human body is finished on the first measurement day by the sleep quality monitoring system of the present invention.
The data analysis unit 23 of the data processing apparatus 2 analyzes a bedtime T1 and an in-sleep time T2 according to the data to be analyzed, and calculates an in-sleep time interval T3 according to the bedtime T1 and the in-sleep time T2. The bedtime T1 is a time when the temperature measuring unit 11 of the physiological measurement device 1 starts recording the body temperature of the human body, the sleep time T2 is a time when a saddle point (saddlepoint) appears for the first time in a curve of the body temperature of the human body changing with time, and the sleep time interval T3 is a time length between the bedtime T1 and the sleep time T2.
The data analysis unit 23 analyzes the sleep effect according to the time interval T3, and if the time interval T3 is not less than a first time interval, the data analysis unit 23 determines that the sleep effect is not good; if the time interval T3 is not greater than a second determination time interval, the data analysis unit 23 determines that the sleep effect is good; if the falling-asleep time interval T3 is between the second determination time interval and the first determination time interval, the data analysis unit 23 determines that the sleep effect is normal, and the first determination time interval is greater than the second determination time interval. In the present embodiment, the first determination time interval is 30 minutes, and the second determination time interval is 15 minutes, but the present invention is not limited thereto.
It should be noted that the sleep effect of the present embodiment is classified into three levels, i.e., "normal", "good", and "bad", according to the time interval T3, but the sleep effect is not limited to this in practical application, and the sleep effect may be presented in several levels, e.g., ten levels, or may be presented in different pictures, e.g., smiling face, crying face, etc., as shown in the figure.
The data analysis unit 23 further analyzes a bedtime body temperature TP, a waking time T4 and a total sleeping time interval T5 according to the data to be analyzed. The bedtime temperature TP is the body temperature of the human body at the bedtime T1, the waking time T4 is the time when the body temperature of the human body rises to the bedtime temperature TP and is no longer lower than the bedtime temperature TP, and the total sleep time interval T5 is the time length between the bedtime T1 and the waking time T4.
The data analysis unit 23 further analyzes a sleep status report according to the data to be analyzed, and calculates a sleep quality according to the ratio of the number of times of the human body from deep sleep to light sleep and from light sleep to deep sleep during the sleep period of the sleep status report to the total sleep time interval T5. In the present embodiment, the sleep state report provides the number of times the human body changes from deep sleep to light sleep and from light sleep to deep sleep during the sleep period, and the number of times the human body turns over during the sleep period, but is not limited thereto.
It should be noted that, although the sleep quality degree of the present embodiment is presented in a ratio manner, the present embodiment is not limited to this in practical application, and the sleep quality degree may also be presented in several orders of magnitude after normalization (e.g. ten-step).
The information display device 3 is in signal connection with the data analysis unit 23 of the data processing device 2, and the data analysis unit 23 receives and displays the bedtime T1, the sleeping time T2, the sleeping time interval T3, the sleeping effect, the bedtime body temperature TP, the waking time T4, the total sleeping time interval T5, the sleeping status report and the sleeping quality, so that the user can fully know the sleeping status and quality. In a more compact implementation, the data analysis unit 23 may also only output the sleep effect for the information display device 3 to display, so as to reduce the data transmission amount and the design cost.
In the embodiment, the information display device 3 is substantially a small Liquid Crystal Display (LCD) electrically connected to the data analysis unit 23 of the data processing device 2, but is not limited thereto, and the information display device 3 may also be an electronic device having a display function and connected to the data processing device 2 through wireless transmission.
The sleep quality monitoring system of the invention utilizes the body temperature of the human body during the sleep period to carry out the relevant analysis of the sleep quality of the human body, and the principle is as follows:
generally, the body temperature of a human in a normal state changes regularly according to external factors such as sunrise and sunset and internal factors such as melatonin. For example, the average body temperature of the human body during daytime activities is normally higher than the average body temperature during night sleep, and thus the body temperature of the human body is usually maintained at a relatively low temperature during night time, except for increased melatonin secretion.
In addition, since the physiological signals such as brain waves, heart beats and blood pressure are relatively severely changed in a short time due to the external environment change or the internal physiological and psychological stress, such physiological measurement data usually must be manually determined and interpreted by a professional in cooperation with the daily physiological record of the user to have a certain reference effect. However, since a human being is a constant temperature animal, the body temperature of the human body has a relatively slow and regular variation cycle compared to other physiological signals such as brain waves, heart beats, blood pressure, and the like, and is suitable for long-term observation and automatic analysis.
According to the research results since 1953, non-rapid eye movement periods and rapid eye movement periods are continuously and alternately appeared in a complete sleep cycle of the human body. When the sleeping degree changes from shallow to deep after sleeping, the non-rapid eye movement period is entered firstly, then the rapid eye movement period is entered from the non-rapid eye movement period, and then the rapid eye movement period returns to the non-rapid eye movement period, so that the whole sleeping period of the human body can be passed through in the cycle of alternation.
In addition, according to the results of the study published in 1982 by Gillberg et al, it was shown that: the body temperature of the human body begins to drop after sleeping, and rises when waking up;
(original data: M.Gillberg and T.Akerstedt, "Body temperature and Sleep at differential times of day," Sleep,5, pp.378-388,1982)
In 1997, Murphy et al found: the maximum rate of temperature drop in the human body occurs during the period of time before onset of sleep.
(original data: P.J.Murphy and S.S.Campbell, "righttime drop in body temperature: a physical trigger for Sleep set
Furthermore, as observed by the inventor for a long time and a lot of data, when the sleep of the human body enters the rapid eye movement period, the body temperature of the human body is increased and the breathing becomes fast and irregular compared with the non-rapid eye movement period. Thus, with reference to fig. 2, in summary of the above discussion, the following conclusions can be finally drawn: the first time when the saddle point appears in the curve of the body temperature with time during the sleep period of the human body is the time when the human body really sleeps for the first time, namely the sleep time T2.
Referring to fig. 1 and fig. 3, taking the actually measured body temperature data as an illustration, a curve 91 shows the change of the body temperature of the human body with time during sleep on the first measurement day.
The data processing device 2 automatically analyzes the bedtime T1 as the 2 nd minute, the bedtime TP as 36.38 ℃ and the time T2 as the 74 th minute according to the body temperature data of the first measurement day, so that the time interval T3 is 72 minutes. Since the sleep interval T3 is greater than 30 minutes, the sleep effect is judged to be poor. The waking time, T4, was 331 th minute, so the total sleep interval, T5, was 329 minutes, which was about 5.5 hours. The total time length recorded by the curve 91 is 358 minutes when the user removes the physiological measurement device 1 from the human body as shown in FIG. 3.
The data processing device 2 further automatically analyzes the sleep status report according to the body temperature data of the first measurement day, wherein the sleep status report indicates: the number of times of the human body changing from deep sleep to light sleep and from light sleep to deep sleep during the sleep period is eight, and the number of times of the human body turning over during the sleep period is one, so that the sleep quality is 8/329 ═ 24.3 ‰.
Referring to fig. 1 and 4, the curve 92 shows the change of the body temperature of the human body with time during sleep on the second measurement day, which is also illustrated by the actually measured body temperature data.
The data processing device 2 automatically analyzes the bedtime T1 as the 2 nd minute, the bedtime TP as 36.4 ℃ and the time T2 as the 77 th minute according to the body temperature data of the second measurement day, so that the time interval T3 is 75 minutes. Since the sleep interval T3 is greater than 30 minutes, the sleep effect is judged to be poor. The waking time, T4, is 374 th minute, so the total sleep interval, T5, is 372 minutes, which is about 6.2 hours. The temperature data is also terminated when the user removes the physiological measurement device 1 from the human body, as shown in FIG. 4, and the total time length recorded by the curve 92 is 383 minutes.
The data processing device 2 further automatically analyzes the sleep status report according to the body temperature data of the second measurement day, wherein the sleep status report indicates: the number of times of the human body changing from deep sleep to light sleep and from light sleep to deep sleep during the sleep period is four, and the number of times of the human body turning over during the sleep period is two, so that the sleep quality is 4/372 ═ 10.8 ‰, and the sleep quality of the human body on the second measurement day is worse than that on the first measurement day.
Referring to fig. 1 and 5, the actually measured body temperature data is also used for illustration, and a curve 93 shows the change of the body temperature of the human body with time during sleep on the third measurement day.
The data processing device 2 automatically analyzes the bedtime T1 as the 2 nd minute, the bedtime TP as 36.36 ℃, the time T2 as the 18 th minute according to the body temperature data of the third measurement day, so that the time interval T3 is 16 minutes. Since the sleep interval T3 is between 15 minutes and 30 minutes, the sleep effect is judged to be normal. The waking time, T4, was 331 th minute, so the total sleep interval, T5, was 329 minutes, which was about 5.5 hours. The temperature data is terminated when the user removes the physiological measurement device 1 from the human body, as shown in FIG. 5, the length of time recorded by the curve 93 is 334 minutes.
The data processing device 2 further automatically analyzes the sleep status report according to the body temperature data of the third measurement day, wherein the sleep status report indicates: the number of times of the human body changing from deep sleep to light sleep and from light sleep to deep sleep during the sleep period is eight, and the number of times of the human body turning over during the sleep period is zero, so that the sleep quality is 8/329 ═ 24.3 ‰, and the sleep quality of the human body on the third measurement day is better than that on the second measurement day.
It is understood that the sleep quality monitoring system of the present invention also enables the user to track the quality of long-term sleep, such as: the body temperature measurement and recording during the sleep period of 180 days are performed, and the maximum number of days of body temperature data that the data processing device 2 can store depends on the memory capacity of the data storage unit 22.
Through the above description, the advantages of the present invention are summarized as follows:
compared with the existing sleep auxiliary device, the invention can completely eliminate the problems of the non-objective factors and the reliability caused by human factors, and the analysis result has high reference value. Moreover, the data processing device 2 of the present invention can automatically perform a plurality of analyses related to the sleep quality of the human body only by using the body temperature data of the human body, and compared with the conventional electroencephalograph, the present invention has the advantages of low cost and portability.
Compared with the technology of using other physiological information to evaluate the sleep, the invention analyzes and evaluates the sleep effect, state and quality of the human body by using the body temperature of the human body, and because the change of the body temperature of the human body along with time is more regular and the data is not easy to generate violent jumps such as brainwaves, heartbeats and blood pressure, the invention can completely automatically, programmatically and digitally process the data interpretation and analysis without introducing any manual operation, thereby having the potential of artificial intelligence application.
Referring to fig. 6, a second embodiment of the present invention is shown, which is similar to the first embodiment. The second embodiment differs from the first embodiment in that:
the data processing device 2 comprises a data storage unit 22 electrically connected with the physiological measurement device 1, and a data analysis unit 23 in signal connection with the data storage unit 22. The data storage unit 22 receives and stores the body temperature data and outputs a data to be analyzed related to the body temperature data, and the data analysis unit 23 receives and analyzes the data to be analyzed and outputs at least the sleep effect. In the present embodiment, the physiological measurement device 1 is substantially a basic temperature measurement patch, but is not limited thereto, and may be a micro temperature sensor such as an infrared temperature detector.
Thus, the second embodiment can achieve the same purpose and effect as the first embodiment. In addition, the second embodiment utilizes the physiological measurement device 1 to be directly electrically connected with the data processing device 2, so as to simplify the system architecture and further reduce the device volume, thereby providing a lower cost implementation option.
In summary, the sleep quality monitoring system of the present invention not only can measure and record the body temperature when the human body is sleeping, but also can automatically and inexpensively analyze the effect and quality of the human body sleeping according to the recorded body temperature, thereby achieving the purpose of the present invention.
The above description is only an example of the present invention, and the scope of the present invention should not be limited thereby, and the invention is still within the scope of the present invention by simple equivalent changes and modifications made according to the claims and the contents of the specification.

Claims (6)

1. A sleep quality monitoring system, comprising: a physiological measurement device, and a data processing device; the method is characterized in that:
the physiological measurement device measures and records the body temperature of a human body during the sleep period and outputs body temperature data which is related to the body temperature of the human body and changes along with the time;
the data processing device is connected with the physiological measuring device by signals, receives the body temperature data and analyzes a sleep state according to the body temperature data, the sleep state comprises a sleeping time, a sleeping body temperature, a sleeping time, a waking time and a total sleeping time interval, and a sleeping effect of the human body is judged according to the sleeping time and the sleeping time, the bedtime is the time when the physiological measurement device starts to record the body temperature of the human body, the bedtime body temperature is the body temperature of the human body at the bedtime, the time of falling asleep is the time when the saddle point appears for the first time in the curve of the body temperature of the human body changing along with the time, the waking time is the time when the body temperature of the human body rises to the sleeping body temperature and is not lower than the sleeping body temperature any more, and the total sleeping time interval is the time length between the sleeping time and the waking time.
2. The sleep quality monitoring system of claim 1, wherein: the sleep state further includes at least one of a time to sleep interval, a sleep state report, and a sleep quality level.
3. The sleep quality monitoring system of claim 2, wherein: the data processing device calculates the sleep time interval and analyzes the sleep effect according to the sleep time interval, wherein the sleep time interval is the time length between the sleeping time and the sleep time, and if the sleep time interval is not less than a first judgment time interval, the data processing device judges that the sleep effect is not good.
4. The sleep quality monitoring system of claim 1, wherein: the physiological measurement device comprises a temperature measurement unit for measuring the body temperature of the human body, a storage unit electrically connected with the temperature measurement unit, an interface unit electrically connected with the storage unit, and a battery unit for providing electric power for the temperature measurement unit, the storage unit and the interface unit, wherein the temperature measurement unit outputs the body temperature data to the storage unit for storage according to the measured body temperature, the storage unit outputs the body temperature data and outputs the body temperature data through the interface unit, the data processing device comprises a transmission interface unit mutually corresponding to the interface unit of the physiological measurement device, a data storage unit in signal connection with the transmission interface unit, and a data analysis unit in signal connection with the data storage unit, the transmission interface unit receives the body temperature data through the interface unit and outputs a temporary storage data related to the body temperature data, the data storage unit receives and stores the temporary storage data and outputs a to-be-analyzed data related to the temporary storage data, and the data analysis unit receives and analyzes the to-be-analyzed data and at least outputs the sleep effect.
5. The sleep quality monitoring system of claim 1, wherein: the data processing device comprises a data storage unit electrically connected with the physiological measurement device and a data analysis unit in signal connection with the data storage unit, wherein the data storage unit receives and stores the body temperature data and outputs a to-be-analyzed data related to the body temperature data, and the data analysis unit receives and analyzes the to-be-analyzed data and at least outputs the sleep effect.
6. The sleep quality monitoring system according to any one of claims 1 to 5, characterized in that: the sleep quality monitoring system also comprises an information display device which is in signal connection with the data processing device and at least receives and displays the sleep effect from the data processing device.
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103815878A (en) * 2014-02-21 2014-05-28 深圳清华大学研究院 Basal body temperature detection device and method for detecting basal body temperature
CN104224147A (en) * 2014-09-15 2014-12-24 中国科学院苏州生物医学工程技术研究所 Wireless portable human health and sleep quality monitor
CN105760693A (en) * 2016-03-09 2016-07-13 哈尔滨商业大学 Intelligent sleep supervision system and intelligent healthy sleep supervision and control system based on Internet of Things
CN105894424A (en) * 2016-06-30 2016-08-24 宁德师范学院 Sleep quality monitoring method

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TW200730134A (en) * 2006-02-14 2007-08-16 Univ Yuan Ze Sleep quality monitor system, and physiological signal monitor process
US20100100004A1 (en) * 2008-10-16 2010-04-22 Koninklijke Nederlandse Akademie Van Wetenschappen Skin Temperature Measurement in Monitoring and Control of Sleep and Alertness
US9592005B2 (en) * 2010-01-29 2017-03-14 Dreamwell, Ltd. Systems and methods for bedding with sleep diagnostics
US9492086B2 (en) * 2012-03-21 2016-11-15 Fresca Medical, Inc. Apparatus, systems, and methods for treating obstructive sleep apnea
CA2836431C (en) * 2013-12-16 2018-02-20 Blue Ocean Laboratories, Inc. A sleep system for obtaining sleep information
US20160136385A1 (en) * 2014-11-14 2016-05-19 Ruggero Scorcioni System and method for thermally conditioning a sleep environment and managing skin temperature of a user
WO2016149713A1 (en) * 2015-03-17 2016-09-22 Fresca Medical Inc. Apparatus, systems, and methods for treating obstructive sleep apnea

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103815878A (en) * 2014-02-21 2014-05-28 深圳清华大学研究院 Basal body temperature detection device and method for detecting basal body temperature
CN104224147A (en) * 2014-09-15 2014-12-24 中国科学院苏州生物医学工程技术研究所 Wireless portable human health and sleep quality monitor
CN105760693A (en) * 2016-03-09 2016-07-13 哈尔滨商业大学 Intelligent sleep supervision system and intelligent healthy sleep supervision and control system based on Internet of Things
CN105894424A (en) * 2016-06-30 2016-08-24 宁德师范学院 Sleep quality monitoring method

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