CN112998670A - Sleep quality monitoring system and sleep quality monitoring method - Google Patents
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- 230000003860 sleep quality Effects 0.000 title claims abstract description 105
- 238000012544 monitoring process Methods 0.000 title claims abstract description 29
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- 230000007958 sleep Effects 0.000 claims abstract description 130
- 238000003745 diagnosis Methods 0.000 claims abstract description 29
- 238000012545 processing Methods 0.000 claims abstract description 17
- 238000013441 quality evaluation Methods 0.000 claims abstract description 16
- 230000029058 respiratory gaseous exchange Effects 0.000 claims description 21
- 206010062519 Poor quality sleep Diseases 0.000 claims description 9
- 238000001303 quality assessment method Methods 0.000 claims description 9
- 206010041235 Snoring Diseases 0.000 claims description 8
- 230000004617 sleep duration Effects 0.000 claims description 6
- 230000005236 sound signal Effects 0.000 claims description 5
- 238000011156 evaluation Methods 0.000 claims description 3
- 230000001186 cumulative effect Effects 0.000 claims 1
- 230000037081 physical activity Effects 0.000 claims 1
- 230000004622 sleep time Effects 0.000 description 12
- 230000002618 waking effect Effects 0.000 description 8
- 238000010586 diagram Methods 0.000 description 2
- 230000036387 respiratory rate Effects 0.000 description 2
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- 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
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- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
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- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1116—Determining posture transitions
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- A61B5/00—Measuring for diagnostic purposes; Identification of persons
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- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
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- A61B5/726—Details of waveform analysis characterised by using transforms using Wavelet transforms
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Abstract
The invention belongs to the technical field of sleep quality monitoring, and particularly discloses a sleep quality monitoring system which comprises a first acquisition module, a second acquisition module, a digital signal processing module and a cloud server; the first acquisition module is used for acquiring a pressure state signal of a sleep area; the second acquisition module is used for acquiring a first sleep state signal of a user; the digital signal processing module is used for generating pressure state data and sleep state data; the cloud server acquires sleep parameters according to the pressure state data and the sleep state data, acquires a sleep quality evaluation result and a sleep quality diagnosis result according to the sleep parameters, generates a sleep quality report according to the sleep parameters, the sleep quality evaluation result and the sleep quality diagnosis result, and sends the sleep quality report to the user terminal, so that a user can know the sleep quality state of the user more comprehensively and intuitively, and the user can adjust work and rest after knowing the sleep quality state, thereby improving the sleep quality.
Description
Technical Field
The invention relates to the technical field of sleep quality monitoring, in particular to a sleep quality monitoring system and a sleep quality monitoring method.
Background
With the continuous improvement of living standard, more and more people pay attention to the quality of life of the people, and sleep is an important factor influencing health. In order to improve the sleep quality, the sleep quality of the user needs to be monitored, and although the existing sleep monitoring device (such as a smart band) can monitor the sleep quality of the user, the sleep quality of the user cannot be accurately monitored under a non-contact condition.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a sleep quality monitoring system and a sleep quality monitoring method.
In order to solve the technical problems, the technical scheme of the invention is as follows: a sleep quality monitoring system comprises a first acquisition module, a second acquisition module, a digital signal processing module and a cloud server; the first acquisition module is used for acquiring a pressure state signal of a sleep area; the second acquisition module is used for acquiring a first sleep state signal of a user; the digital signal processing module is used for generating pressure state data according to the pressure state signal and generating sleep state data according to the first sleep state signal; the cloud server is used for acquiring sleep parameters according to the pressure state data and the sleep state data, acquiring a sleep quality evaluation result and a sleep quality diagnosis result according to the sleep parameters, generating a sleep quality report according to the sleep parameters, the sleep quality evaluation result and the sleep quality diagnosis result, and sending the sleep quality report to the user terminal.
Preferably, the first acquisition module comprises a pressure sensor.
Preferably, the second acquisition module comprises a piezoelectric film sensor, and the first sleep state signal comprises a heartbeat signal, a respiration signal and a body movement signal.
Preferably, the sleep state monitoring system further comprises a third acquisition module, wherein the third acquisition module is used for acquiring a second sleep state signal of the user; the digital signal processing module is also used for generating sleep state data according to the second sleep state signal.
The invention also provides a sleep quality monitoring method, which is applied to the sleep quality monitoring system and comprises the following steps:
s1: collecting a pressure state signal of a sleep area and a first sleep state signal of a user, analyzing and calculating the pressure state signal to generate area pressure state data, and processing and analyzing and calculating the first sleep state signal to generate sleep state data;
s2: acquiring sleep parameters according to the pressure state data and the sleep state data;
s3: obtaining a sleep quality evaluation result and a sleep quality diagnosis result according to the sleep parameters;
s4: and generating a sleep quality report according to the sleep parameters, the sleep quality evaluation result and the sleep quality diagnosis result, and sending the sleep quality report to the user terminal.
Preferably, the first sleep state signal includes a heartbeat signal, a respiration signal and a body movement signal, the sleep state data includes a heart rate, a respiration rate and body movement data, and the heartbeat signal, the respiration signal and the body movement signal are respectively filtered and analyzed through a filter circuit and wavelet analysis to generate the heart rate, the respiration rate and the body movement data.
Preferably, the sleep parameters include a time to enter a sleep area, a time to leave a sleep area, a sleep time period, a deep sleep time period, a light sleep time period, a waking time period, a bed leaving time period, an average heart rate, an average breathing rate, and an accumulated physical movement.
Preferably, the obtaining of the sleep quality assessment result and the sleep quality diagnosis result according to the sleep parameters includes: and comparing the sleep parameters with preset evaluation parameters to calculate a sleep quality evaluation result, and comparing the sleep parameters with preset diagnosis parameters to calculate a sleep quality diagnosis result.
Preferably, step S1 further includes: and collecting a second sleep state signal of the user, and calculating the second sleep state signal to generate sleep state data.
Preferably, the second sleep state signal includes a sound signal, the sleep state data further includes sound state data, and the sleep parameters further include a snoring number and a snoring duration.
By adopting the technical scheme, the cloud server generates the sleep quality report according to the sleep parameters, the sleep quality evaluation result and the sleep quality diagnosis result, and sends the sleep quality report to the user terminal, so that the user can know the sleep quality state of the user more comprehensively and intuitively, and the user can adjust work and rest after knowing the sleep quality state, thereby improving the sleep quality.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a schematic block diagram of a sleep quality monitoring system according to the present invention;
fig. 2 is a schematic step diagram of the sleep quality monitoring method of the present invention.
In the figure, 10 is a first acquisition module, 20 is a second acquisition module, 30 is a digital signal processing module, 40 is a cloud server, and 50 is a third acquisition module.
Detailed Description
The following further describes embodiments of the present invention with reference to the drawings. It should be noted that the description of the embodiments is provided to help understanding of the present invention, but the present invention is not limited thereto. In addition, the technical features involved in the embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
In the description of the present invention, it is to be understood that the terms "center", "longitudinal", "lateral", "length", "thickness", "up-down, front-back, left-right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise" indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplicity of description, and do not indicate or imply that the elements referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and therefore, should not be taken as limiting the present invention. Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a defined feature of "first", "second" may explicitly or implicitly include one or more features. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise. It should be noted that unless expressly stated or limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly and include, for example, fixed or removable connections or integral connections; may be mechanically connected, may be electrically connected or may be in communication with each other; either directly or indirectly through intervening media profiles, either internally or in any combination thereof. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In order to explain the technical means of the present invention, the following description will be given by way of specific examples.
As shown in fig. 1, in an embodiment of the present invention, there is provided a sleep quality monitoring system, including a first acquisition module 10, a second acquisition module 20, a digital signal processing module 30, and a cloud server 40; the first acquisition module 10 is used for acquiring a pressure state signal of a sleep area; the second collecting module 20 is configured to collect a first sleep state signal of the user; the digital signal processing module 30 is configured to generate regional pressure state data according to the pressure state signal and generate sleep state data according to the first sleep state signal; the cloud server 40 is configured to obtain sleep parameters according to the regional pressure state data and the sleep state data, obtain a sleep quality assessment result and a sleep quality diagnosis result according to the sleep parameters, generate a sleep quality report according to the sleep parameters, the sleep quality assessment result and the sleep quality diagnosis result, and send the sleep quality report to the user terminal, so that a user can know the sleep quality state of the user more comprehensively and intuitively, and the sleep quality of the user can be improved by adjusting according to the sleep quality state of the user.
In this embodiment, the first collecting module 10 includes a pressure sensor, and the pressure state signal of the sleep area can be collected by the pressure sensor.
In this embodiment, the second collecting module 20 includes a piezoelectric film sensor, the first sleep state signal includes a heartbeat signal, a respiration signal and a body movement state signal, and the heartbeat signal, the respiration signal and the body movement state signal of the user are collected by the piezoelectric film sensor.
In one example, the pressure sensor and the piezoelectric film sensor are respectively installed on a mattress, and when a user enters the mattress, a regional pressure state signal of the mattress and a heartbeat signal, a respiration signal and a body movement state signal of the user are respectively collected through the stress of the mattress and transmitted to the digital signal processing module 30. The digital signal processing module 30 calculates and generates heart rate, respiratory rate and body movement data according to the heartbeat signal, the respiratory signal, the body movement state signal and the pressure state signal, so that the cloud server 40 can accurately acquire sleep state data such as the heart rate, the respiratory rate and the body movement data.
In this embodiment, the sleep state monitoring system further includes a third collecting module 50, where the third collecting module 50 is configured to collect a second sleep state signal of the user; the digital signal processing module 30 is further configured to generate sleep state data according to the second sleep state signal. In one example, the third collecting module 50 includes a sound sensor or a microphone, the third collecting module 50 collects a sound signal of the user, and the digital signal processing module 30 calculates and generates sleep state data such as the number of snoring and the length of snoring according to the sound signal.
As shown in fig. 2, the present invention further provides a sleep quality monitoring method, which is applied to the sleep quality monitoring system in any of the above embodiments, and includes the following steps:
s1: collecting a pressure state signal of a sleep area and a first sleep state signal of a user, analyzing and calculating the pressure state signal to generate pressure state data, and filtering, analyzing and calculating the first sleep state signal to generate sleep state data;
s2: and acquiring sleep parameters according to the pressure state data and the sleep state data.
S3: and acquiring a sleep quality evaluation result and a sleep quality diagnosis result according to the sleep parameters.
S4: and generating a sleep quality report according to the sleep parameters, the sleep quality evaluation result and the sleep quality diagnosis result, and sending the sleep quality report to the user terminal.
In this embodiment, the first sleep state signal includes a heartbeat signal, a respiration signal, and a body movement state signal, the sleep state data includes a heart rate, a respiration rate, and body movement data, and the heartbeat signal, the respiration signal, and the body movement state signal are respectively filtered and analyzed and calculated through a filter circuit and wavelet analysis to generate the sleep state data such as the heart rate, the respiration rate, and the body movement data, so as to improve the accuracy of the heart rate, the respiration rate, and the body movement data.
In this embodiment, the sleep parameters include a time to enter a sleep area, a time to leave a sleep area, a sleep time period, a deep sleep time period, a light sleep time period, a waking time period, a bed leaving time period, an average heart rate, an average breathing rate, and an accumulated body movement.
In this embodiment, acquiring the time of entering the sleep area and the time of leaving the sleep area includes: comparing the pressure state data with preset pressure value data; when the pressure state data is larger than the preset pressure value data, taking the current moment as the moment of entering the sleep area; and when the pressure state data is smaller than the preset pressure value data, starting to record the time length of leaving the sleep area, and if the time length of leaving the sleep area is larger than the preset time length of leaving the sleep area, taking the starting time of the time length of leaving the sleep area as the time of leaving the sleep area.
In this embodiment, the acquiring the deep sleep duration, the light sleep duration, and the waking duration includes: comparing the body movement data with a deep sleep data range, a light sleep data range and a clear-headed data range; recording the deep sleep time of the body movement data in the deep sleep data range, and calculating the sum of the deep sleep time as the deep sleep time; recording the light sleep time of the body movement data in the light sleep data range, and calculating the sum of the light sleep time as the light sleep time; and recording the waking time when the body motion data is in the waking data range, and calculating the sum of the waking time as the waking duration.
In this embodiment, obtaining the sleep quality assessment result and the sleep quality diagnosis result includes: and comparing the sleep parameters with preset evaluation parameters to calculate a sleep quality evaluation result, and comparing the sleep parameters with preset diagnosis parameters to calculate a sleep quality diagnosis result.
In the present embodiment, the sleep quality assessment result includes a sleep quality assessment score and a sleep quality assessment grade; the sleep quality diagnosis result comprises a sleep duration diagnosis result, a waking time diagnosis result and diagnosis results of the time of entering the sleep area and the time of leaving the sleep area.
In the present embodiment, the sleep quality report content includes sleep parameters, sleep quality assessment results, and sleep quality diagnosis results.
In this embodiment, the step S1 further includes acquiring a second sleep state signal of the user, and calculating the second sleep state signal to generate the sleep state data. In one example, the second sleep state signal includes a sound signal, the sleep state data further includes sound state data, and the sleep parameters further include a number of snoring and a length of snoring.
The embodiments of the present invention have been described in detail with reference to the accompanying drawings, but the present invention is not limited to the embodiments described above. It will be apparent to those skilled in the art that various changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, and the scope of protection is still within the scope of the invention.
Claims (10)
1. A sleep quality monitoring system is characterized by comprising a first acquisition module, a second acquisition module, a digital signal processing module and a cloud server;
the first acquisition module is used for acquiring a pressure state signal of a sleep area;
the second acquisition module is used for acquiring a first sleep state signal of a user;
the digital signal processing module is used for generating pressure state data according to the pressure state signal and generating sleep state data according to the first sleep state signal;
the cloud server is used for acquiring sleep parameters according to the pressure state data and the sleep state data, acquiring a sleep quality evaluation result and a sleep quality diagnosis result according to the sleep parameters, generating a sleep quality report according to the sleep parameters, the sleep quality evaluation result and the sleep quality diagnosis result, and sending the sleep quality report to a user terminal.
2. The sleep quality monitoring system of claim 1 wherein the first acquisition module includes a pressure sensor.
3. The sleep quality monitoring system according to claim 1, wherein the second acquisition module includes a piezoelectric film sensor, and the first sleep state signal includes a heartbeat signal, a respiration signal, and a body motion signal.
4. The sleep quality monitoring system according to claim 1, further comprising a third acquisition module for acquiring a second sleep state signal of a user; the digital signal processing module is further configured to generate sleep state data according to the second sleep state signal.
5. A sleep quality monitoring method applied to a sleep quality monitoring system according to claims 1 to 4, characterized by comprising the steps of:
s1: collecting a pressure state signal of a sleep area and a first sleep state signal of a user, analyzing and calculating the pressure state signal to generate area pressure state data, and processing and analyzing and calculating the first sleep state signal to generate sleep state data;
s2: acquiring sleep parameters according to the pressure state data and the sleep state data;
s3: obtaining a sleep quality evaluation result and a sleep quality diagnosis result according to the sleep parameters;
s4: and generating a sleep quality report according to the sleep parameters, the sleep quality evaluation result and the sleep quality diagnosis result, and sending the sleep quality report to a user terminal.
6. The method of claim 5, wherein the first sleep state signal comprises a heartbeat signal, a respiration signal and a body movement signal, the sleep state data comprises a heart rate, a respiration rate and a body movement data, and the heartbeat signal, the respiration signal and the body movement signal are respectively filtered and analyzed by a filter circuit and wavelet analysis to generate the heart rate, the respiration rate and the body movement data.
7. The method of claim 6, wherein the sleep parameters include time to enter sleep zone, time to leave sleep zone, sleep duration, deep sleep duration, light sleep duration, awake duration, out-of-bed duration, average heart rate, average breathing rate, and cumulative physical activity.
8. The sleep quality monitoring method according to claim 7, wherein obtaining the sleep quality assessment result and the sleep quality diagnosis result according to the sleep parameters comprises: and comparing the sleep parameters with preset evaluation parameters to calculate a sleep quality evaluation result, and comparing the sleep parameters with preset diagnosis parameters to calculate a sleep quality diagnosis result.
9. The sleep quality monitoring method according to any one of claims 5 to 8, wherein the step S1 further includes: and acquiring a second sleep state signal of the user, and calculating the second sleep state signal to generate sleep state data.
10. The method of claim 9, wherein the second sleep state signal comprises a sound signal, the sleep state data further comprises sound state data, and the sleep parameters further comprise a number of snoring and a length of snoring.
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113499037A (en) * | 2021-08-13 | 2021-10-15 | 珠海格力电器股份有限公司 | Method and device for determining sleep quality of user, electronic equipment and storage medium |
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 |
CN113693564A (en) * | 2021-08-30 | 2021-11-26 | 平安国际智慧城市科技股份有限公司 | Sleep quality monitoring method, device, equipment and medium based on artificial intelligence |
CN114557821A (en) * | 2022-02-28 | 2022-05-31 | 佛山市迪赛纳医疗科技有限公司 | Intelligent medical bed system and monitoring method thereof |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105962896A (en) * | 2016-04-25 | 2016-09-28 | 广东乐源数字技术有限公司 | heart rate and sleep monitoring system and monitoring method |
CN109259952A (en) * | 2018-08-20 | 2019-01-25 | 深圳思迈家科技有限公司 | Sleep monitoring system and Sleep-Monitoring method based on the sleep monitoring system |
CN110575139A (en) * | 2019-08-13 | 2019-12-17 | 珠海市万瑙特健康科技有限公司 | Sleep monitoring method and equipment |
CN111988424A (en) * | 2020-08-31 | 2020-11-24 | 佛山市欧曾智能家具科技有限公司 | Intelligent sleep monitoring bed, system and method |
CN112155526A (en) * | 2020-09-29 | 2021-01-01 | 李树志 | Sleep monitoring device and control method thereof |
-
2021
- 2021-02-23 CN CN202110201178.2A patent/CN112998670A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105962896A (en) * | 2016-04-25 | 2016-09-28 | 广东乐源数字技术有限公司 | heart rate and sleep monitoring system and monitoring method |
CN109259952A (en) * | 2018-08-20 | 2019-01-25 | 深圳思迈家科技有限公司 | Sleep monitoring system and Sleep-Monitoring method based on the sleep monitoring system |
CN110575139A (en) * | 2019-08-13 | 2019-12-17 | 珠海市万瑙特健康科技有限公司 | Sleep monitoring method and equipment |
CN111988424A (en) * | 2020-08-31 | 2020-11-24 | 佛山市欧曾智能家具科技有限公司 | Intelligent sleep monitoring bed, system and method |
CN112155526A (en) * | 2020-09-29 | 2021-01-01 | 李树志 | Sleep monitoring device and control method thereof |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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 |
CN113499037A (en) * | 2021-08-13 | 2021-10-15 | 珠海格力电器股份有限公司 | Method and device for determining sleep quality of user, electronic equipment and storage medium |
CN113693564A (en) * | 2021-08-30 | 2021-11-26 | 平安国际智慧城市科技股份有限公司 | Sleep quality monitoring method, device, equipment and medium based on artificial intelligence |
CN114557821A (en) * | 2022-02-28 | 2022-05-31 | 佛山市迪赛纳医疗科技有限公司 | Intelligent medical bed system and monitoring method thereof |
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Application publication date: 20210622 |