CN113679344A - Sleep monitor detection method and device and sleep monitor - Google Patents

Sleep monitor detection method and device and sleep monitor Download PDF

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CN113679344A
CN113679344A CN202110868981.1A CN202110868981A CN113679344A CN 113679344 A CN113679344 A CN 113679344A CN 202110868981 A CN202110868981 A CN 202110868981A CN 113679344 A CN113679344 A CN 113679344A
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sensor
sleep
detection data
human body
data
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刘国涛
张启飞
何雨龙
牛洋洋
徐志英
龚梅军
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Shenzhen Shuliantianxia Intelligent Technology Co Ltd
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    • 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
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, 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
    • A61B5/0205Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
    • 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
    • A61B5/6887Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
    • A61B5/6892Mats
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7203Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2562/00Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
    • A61B2562/16Details of sensor housings or probes; Details of structural supports for sensors
    • A61B2562/164Details of sensor housings or probes; Details of structural supports for sensors the sensor is mounted in or on a conformable substrate or carrier

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Abstract

The embodiment of the invention relates to the technical field of sleep monitoring, and discloses a detection method of a sleep monitor, which comprises the steps of acquiring first detection data of a first sensor in a first fixed time, wherein the first sensor is used for detecting pressure sensed by a sleep cushion; when the first detection data meet a first preset condition, sampling second detection data of a second sensor according to a preset sampling frequency, wherein the second sensor is used for detecting human body sign parameters sensed by the sleep cushion; and analyzing the human body sign parameters in the second detection data, and outputting the human body sign parameters when the human body sign parameters are larger than a preset threshold value. Therefore, when the first detection data of the first sensor meets the first preset condition, the interference of a certain interfering object is eliminated to a certain extent, and further the second detection data of the second sensor is compared with the preset threshold value, so that invalid data are further eliminated, and the accuracy of the sleep monitor for monitoring the human body sign data is improved.

Description

Sleep monitor detection method and device and sleep monitor
Technical Field
The embodiment of the invention relates to the technical field of sleep monitoring, in particular to a sleep monitor and a detection method and device thereof.
Background
With the rapid development of economy, the work, study and life pressure of modern people is getting bigger and bigger, the attention of people to the physical health of the people and family is continuously increased, wherein the common outstanding sleeping problem becomes one of the key points concerned by people.
The existing sleep monitoring equipment is generally arranged on a sleep mattress, and the detection of sleep data is realized by sensing a pressure signal. However, the existing sleep monitoring devices are prone to misjudgment caused by the fact that fans work, curtains move and interferents are placed on the sleep mattress in the use environment when being used, and therefore the user experience is poor.
Disclosure of Invention
The embodiment of the invention provides a sleep monitor detection method and device and a sleep monitor, which can avoid interference of interferents and other factors and improve the accuracy of physical sign data detection of the sleep monitor.
In a first aspect, an embodiment of the present invention provides a detection method for a sleep monitor, where the sleep monitor includes a sleep mat, a first sensor and a second sensor are disposed in the sleep mat, and the first sensor and the second sensor are different types of sensors, and the method includes:
acquiring first detection data of the first sensor in a first fixed time, wherein the first sensor is used for detecting the pressure sensed by the sleep mat;
when the first detection data meet a first preset condition, sampling second detection data of a second sensor according to a preset sampling frequency, wherein the second sensor is used for detecting human body sign parameters sensed by the sleep cushion;
and analyzing the human body sign parameters in the second detection data, and outputting the human body sign parameters when the human body sign parameters are larger than a preset threshold value.
Preferably, the method further comprises:
and when the first detection data do not meet the first preset condition, returning to the step of acquiring the first detection data of the first sensor at a first fixed time.
Preferably, the method further comprises:
and when the human body sign parameter is smaller than or equal to the preset threshold, returning to the step of acquiring first detection data of the first sensor at a first fixed time.
Preferably, the acquiring of the first detection data of the first sensor at a first fixed time includes:
acquiring first sensing data of the first sensor within the first fixed time;
and carrying out average value calculation on the first sensing data in the first fixed time to obtain the first detection data.
Preferably, the sampling the second detection data of the second sensor according to the preset sampling frequency includes:
sampling second sensing data of the second sensor at a preset sampling frequency;
and preprocessing the second sensing data to obtain second detection data, wherein the preprocessed second detection data is beneficial to the analysis of human body sign parameters.
In a second aspect, an embodiment of the present invention provides a detection apparatus for a sleep monitor, the sleep monitor including a first sensor and a second sensor, measurement properties of the first sensor and the second sensor being different, the apparatus including:
the first detection processing module is used for acquiring first detection data of the first sensor at a first fixed time, wherein the first sensor is used for sensing the pressure applied to the sleep monitor;
the second detection processing module is used for sampling second detection data of the second sensor according to a preset sampling frequency when the first detection data meet a first preset condition, wherein the second sensor is used for detecting human body sign parameters sensed by the sleep monitor at present;
and the sign parameter output module is used for analyzing the human sign parameters in the second detection data, and outputting the human sign parameters when the human sign parameters are larger than a preset threshold value.
In a third aspect, an embodiment of the present invention provides a sleep monitor, including a sleep pad provided with a first sensor and a second sensor, a microprocessor, and a storage unit, in which a computer program is stored;
the microprocessor is electrically connected with the first sensor and the second sensor respectively, and when the computer program is executed by the microprocessor, the control method of any one sleep monitor is realized.
In a fourth aspect, embodiments of the present invention provide a sleep mattress, which includes a mattress body and a sleep monitor as described above.
In a fifth aspect, an embodiment of the invention provides a non-transitory computer-readable storage medium storing computer-executable instructions for causing an electronic device to perform the method of any one of the above.
The embodiment of the invention has the following beneficial effects: different from the situation of the prior art, the sleep monitor provided by the embodiment of the invention includes a sleep pad, wherein a first sensor and a second sensor are arranged in the sleep pad, first detection data of the first sensor in a first fixed time is acquired, and the first sensor is used for detecting pressure sensed by the sleep pad; when the first detection data meet a first preset condition, sampling second detection data of a second sensor according to a preset sampling frequency, wherein the second sensor is used for detecting human body sign parameters sensed by the sleep cushion; and analyzing the human body sign parameters in the second detection data, and outputting the human body sign parameters when the human body sign parameters are larger than a preset threshold value. Therefore, when the first detection data of the first sensor meets the first preset condition, the interference of a certain interfering object is eliminated to a certain extent, and further the second detection data of the second sensor is compared with the preset threshold value, so that invalid data are further eliminated, and the accuracy of the sleep monitor for monitoring the human body sign data is improved.
Drawings
One or more embodiments are illustrated by way of example in the accompanying drawings, which correspond to the figures in which like reference numerals refer to similar elements and which are not to scale unless otherwise specified.
Fig. 1a is a schematic structural diagram of a sleep mat according to an embodiment of the present invention;
FIG. 1b is a schematic structural diagram of another sleeping pad according to an embodiment of the present invention;
fig. 1c is a schematic structural diagram of a sleep mat according to an embodiment of the present invention;
FIG. 1d is a schematic structural diagram of another sleeping pad according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a sleep monitor according to an embodiment of the present invention;
fig. 3 is a flowchart of a detection method of a sleep monitor according to an embodiment of the present invention;
FIG. 4 is a flow chart of a method for detecting a sleep monitor according to an embodiment of the present invention;
FIG. 5 is a flow chart of a method for detecting a sleep monitor according to an embodiment of the present invention;
fig. 6 is a flowchart of a detection method of a sleep monitor according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of a detection apparatus of a sleep monitor according to an embodiment of the present invention.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the invention, but are not intended to limit the invention in any way. It should be noted that variations and modifications can be made by persons skilled in the art without departing from the spirit of the invention. All falling within the scope of the present invention.
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
It should be noted that, if not conflicted, the various features of the embodiments of the invention may be combined with each other within the scope of protection of the present application. Additionally, while functional block divisions are performed in apparatus schematics, with logical sequences shown in flowcharts, in some cases, steps shown or described may be performed in sequences other than block divisions in apparatus or flowcharts. Further, the terms "first," "second," "third," and the like, as used herein, do not limit the data and the execution order, but merely distinguish the same items or similar items having substantially the same functions and actions.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
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.
Referring to fig. 1a to 1c, fig. 1a to 1c are schematic structural diagrams of a sleep mat according to an embodiment of the present invention, a sleep mat 10 includes a first sensor 11 and a second sensor 12, wherein the first sensor 11 and the second sensor 12 are disposed in the sleep mat 10 in a tiled manner, and the sleep mat 10 is disposed in a mattress, so that when a human body lies on the sleep mat 10, human body sign data can be collected through the first sensor 11 and the second sensor 12. It can be understood that, for better use and protection of the first sensor 11 and the second sensor 12, the sleep pad 10 further includes a lycra cloth, an EVA layer and a PVC membrane, which are stacked from the outside to the inside, wherein the lycra cloth is located on the outer surface, the EVA layer is located on the lower layer of the lycra cloth, the PVC membrane is located on the lower layer of the EVA layer, and the first sensor 11 and the second sensor 12 are wrapped in the PVC membrane. It will be appreciated that in order to prevent interference between the first sensor 11 and the second sensor 12, a PVC diaphragm is provided between the first sensor 11 and the second sensor 12 to isolate the first sensor 11 from the second sensor 12.
The size of the sleep pad 10 is 800mm x 50mm, the width of the first sensor 11 arranged inside the sleep pad 10 is 15mm, the width of the second sensor 12 is 8mm, the sleep pad 10 is electrically connected with the outside (such as a microprocessor) through a connecting wire of a data interface arranged at one end, and therefore acquisition of sensor data, calculation and transmission of human body vital sign signals and the like are achieved. It should be noted that the above dimensions are used to illustrate the size ratio of the sleeping pad, and any other product with any size having the same structure and function as the sleeping pad falls within the protection scope of the present disclosure.
In this embodiment, in order to accurately acquire data sensed by the first sensor 11 and the second sensor 12, please refer to fig. 1d, where fig. 1d is a schematic structural diagram of a data interface provided in an embodiment of the present invention, the data interface is disposed at one end of the sleep pad 10, and the data interface is connected to a conductive wire, so as to implement data transmission through the data interface.
Referring to fig. 2, fig. 2 is a schematic structural diagram of a sleep detector according to an embodiment of the present invention, the sleep monitor 100 includes a sleep pad 10 and a microprocessor 20, the microprocessor 20 is electrically connected to the sleep pad 10 through a data interface disposed at one end of the sleep pad 10, and the microprocessor 20 collects sensing data sensed by the first sensor 11 and the second sensor 12 to calculate and/or transmit human body sign signals.
In some embodiments, the sleep monitor 100 further comprises a communication unit 30 and a power supply unit 40, wherein the communication unit 30 is connected to the microprocessor 20 and is configured to transmit data collected and processed by the microprocessor 20 to a smart device, which includes but is not limited to a smart phone, a wearable device, or other smart terminal. The communication unit 30 may be a wired communication or a wireless communication, for example, the communication unit 30 may be a bluetooth module, and the sleep monitor 100 may periodically transmit the human body sign signal to the smart device through the bluetooth module. The power supply unit 40 is a power supply of the sleep monitor 100 and is used for supplying power to the first sensor 11, the second sensor 12 and the microprocessor 20.
The invention also provides an intelligent mattress, which comprises a mattress body and a sleep monitor 100, wherein the sleep cushion 10 is integrated with the mattress body, so that physical sign signals of a human body during sleep can be timely and accurately monitored during sleep.
It can be understood that when a person is in a sleep state, the person can unconsciously generate body movement or change the sleeping posture to influence the sleep monitor to collect human body sign signals, or the person can interfere with the sleep monitor to collect the human body sign signals to further influence the accuracy of human body sign signal calculation. Therefore, in an embodiment of the present invention, referring to fig. 3, fig. 3 is a detection method of a sleep monitor provided in an embodiment of the present invention, which is applied to the sleep monitor described above, the sleep monitor includes a sleep mat, a first sensor and a second sensor are disposed in the sleep mat, and the method includes:
s31, acquiring first detection data of the first sensor in a first fixed time, wherein the first sensor is used for detecting the pressure sensed by the sleep mat;
as described above, the sleep mat is laid on the upper surface of the mattress, and when a human body lies on the mattress, the sleep mat is in direct contact with the human body, so that the sleep mat can directly sense the pressure formed by the human body on the sleep mat.
In the present embodiment, the first sensor is embodied as a piezoresistive pressure sensor. It will be appreciated that a piezoresistive pressure sensor is a sensor made using the piezoresistive effect of a crystal, and when it is subjected to a pressure, the resistance of the strain element changes, thereby causing a change in the output voltage. It can be seen that piezoresistive pressure sensors are sensitive to pressure variations. In the embodiment, the pressure value sensed by the first sensor and the voltage output by the first sensor have an inverse relation, that is, when the sensed pressure value is larger, the output voltage is smaller; when the sensed pressure value is smaller, the output voltage is larger; when the first sensor fails to sense the pressure, the output voltage is the supply voltage. It is understood that the first detection data is a voltage signal.
The first fixed time is a fixed time length preset in the system according to the measurement requirement, and it can be understood that the instantaneous detection data of the sensor is not accurate enough, and an error is easy to generate. If the set acquisition time is longer, although the accuracy of the data is improved, the sleep monitor is easy to react and jam or the data output is slow, and the use experience of a user is influenced. Therefore, in the embodiment, the first sensor is arranged to collect the pressure data within the first fixed time, so that the accuracy of the data and the user experience are improved. Illustratively, the first fixed time may be 500 ms.
In some embodiments, referring to fig. 4, the method further comprises:
s32, judging whether the first detection data meet a first preset condition;
s33, when the first detection data meet a first preset condition, sampling second detection data of a second sensor according to a preset sampling frequency, wherein the second sensor is used for detecting human body sign parameters sensed by the sleep mat;
as mentioned above, the first sensor is used for detecting the pressure sensed by the sleep mat, and the first detection data is a voltage signal output by the first sensor according to the pressure sensed by the sleep mat, that is, the first detection data reflects the pressure condition of the sleep mat at this time. It should be noted that when any article with a weight is placed on the sleeping mat, pressure is generated on the sleeping mat, and the first sensor outputs a voltage signal under the corresponding pressure. If the sleep monitor is triggered to work when the first sensor outputs the voltage signal, the power consumption of the sleep monitor is large, and a large data error is caused during subsequent measurement of human body sign parameters.
Therefore, in the embodiment of the present invention, a first preset condition is set for filtering the interference on the sleep mat, and specifically, the first detection data is assumed to be a1Then the first detection data satisfies the first preset condition of 0<A1<K*VDDWherein V isDDThe power supply voltage is 5VDC or 3.3VDC, K is proportionality coefficient, and is 0<K<1. It should be noted that the proportionality coefficient K may be customized according to the user's requirement, for example, when the user habitually places a light article (doll, mobile phone) on the mattress, the value of K may be set to be relatively large, for example, K is 0.9; if the user is accustomed to placing a heavy item (ipad, notebook) on the mattress, the value of K may be set relatively small, for example, K0.7. It should be noted that the value of K is merely an exemplary description, and when K is specifically taken, it is closely related to the thickness of the sleep mat and other system parameters of the sleep monitoring system.
When the first detection data meets a first preset condition, the possibility of being an interfering object is eliminated to a certain extent, and then the sleep monitor samples second detection data of the second sensor according to a preset sampling frequency. The preset sampling frequency can be 40Hz or 80 Hz.
In the present embodiment, the second sensor is embodied as a piezoelectric thin film sensor. It will be appreciated that the piezoelectric film sensor is a dynamic strain sensor, and is particularly suitable for use on the skin surface of a person to monitor signals indicative of body signs, and in particular a film element, which is sensitive enough to detect body pulses across the outer casing.
In some embodiments, referring to fig. 4, the method further comprises:
s34, when the first detection data does not satisfy the first preset condition, returning to the step S31 to continue to acquire the first detection data of the first sensor at the first fixed time.
Specifically, assume that the first detected data is a1The first detection data does not satisfy the first preset condition, and is specifically K × VDD<A1<VDDWherein V isDDThe power supply voltage is 5VDC or 3.3VDC, K is proportionality coefficient, and is 0<K<1. Therefore, the original source of the pressure generated on the current sleep cushion is defined as the interferent according to the judgment principle, and the first sensor is continuously controlled to collect the sensing data. In some embodiments, the second sensor may be controlled to be in a standby or power-off state at this time to reduce power consumption of the sleep monitor.
S35, analyzing the human body sign parameters in the second detection data, and outputting the human body sign parameters when the human body sign parameters are larger than a preset threshold value.
As mentioned above, the piezoelectric film sensor is very suitable for monitoring human body sign signals on the surface of human skin, and the sensitivity is enough to detect human body pulse through the jacket. However, it is too sensitive to be easily affected by environmental factors, such as disturbance of fan and disturbance of curtain movement, which are enough to form a sensing signal on the piezoelectric film sensor to output data.
It should be noted that the human body sign parameters are used to represent human body sign characteristics, including a heartbeat signal and a respiration signal. Generally, the heartbeat and the breath of a human body are regular, for example, the heartbeat of the human body is generally 60-70 times/minute in the sleeping process, and the corresponding heartbeat frequency is about 1^1.2 Hz; the number of breaths is typically 1/4 heartbeats, approximately 15-18 beats/minute, which corresponds to a breathing rate of 0.25^0.3 Hz.
Based on the characteristics of the human body sign parameters, in this embodiment, after second detection data acquired by the second sensor is acquired, the second detection data is analyzed for the human body sign parameters. Although the possibility of the pressure generated by the interfering object is eliminated to some extent by the first sensor, there is still no guarantee that the data collected by the second sensor is determined as a physical parameter of the human body. Then, the analyzed human body sign parameters are compared with a preset threshold, when the human body sign parameters are larger than the preset threshold, the human body sign parameters are effective human body sign parameters, then, the sleep monitor can output the effective human body sign parameters to the intelligent device, and the user can see the sleep monitoring data of the user through the intelligent device.
In this embodiment, the preset threshold is set to 0, that is, when the human body sign parameter is a heartbeat signal or a respiration signal, if the human body sign parameter is 0, the human body sign parameter is an invalid sign parameter.
Thus, in still other embodiments, with continued reference to fig. 4, the method further includes:
s36, when the human body physical sign parameter is less than or equal to the preset threshold, returning to the step S31 to continue to acquire the first detection data of the first sensor at the first fixed time.
That is, when the human body physical sign parameter is judged to be an invalid physical sign parameter, the sleep monitor continues to acquire the first detection data of the first sensor at a first fixed time. In this embodiment, whether the human body sign parameters in the second detection data collected by the second sensor are valid data or not is judged, and then invalid data are further eliminated, so that the accuracy of monitoring the human body sign data by the sleep monitor is improved.
In the embodiment of the invention, the sleep monitor comprises a sleep pad, wherein a first sensor and a second sensor are arranged in the sleep pad, first detection data of the first sensor in a first fixed time is acquired, and the first sensor is used for detecting pressure sensed by the sleep pad; when the first detection data meet a first preset condition, sampling second detection data of a second sensor according to a preset sampling frequency, wherein the second sensor is used for detecting human body sign parameters sensed by the sleep cushion; and analyzing the human body sign parameters in the second detection data, and outputting the human body sign parameters when the human body sign parameters are larger than a preset threshold value. Therefore, when the first detection data of the first sensor meets the first preset condition, the interference of a certain interfering object is eliminated to a certain extent, and further the second detection data of the second sensor is compared with the preset threshold value, so that invalid data are further eliminated, and the accuracy of the sleep monitor for monitoring the human body sign data is improved.
As described above, the sleep monitor takes the first fixed time as the acquisition duration when acquiring the sensing data of the first sensor, so as to improve the accuracy of the data. In some embodiments, referring to fig. 5, step S31 includes:
s311, acquiring first sensing data of the first sensor in the first fixed time;
the first sensor is a piezoresistive pressure sensor, and outputs a voltage signal corresponding to the pressure according to the pressure. It is understood that the first sensing data is a voltage signal.
S312, calculating the average value of the first sensing data in the first fixed time to obtain the first detection data.
In this embodiment, an average value of the first sensing data collected within the first fixed time is calculated to obtain an average voltage value within the first fixed time, that is, the first detection data. And judging whether the average voltage value in the first fixed time meets a first preset condition or not so as to eliminate the interference of certain interferents and improve the accuracy of interferent judgment.
In still other embodiments, after the maximum value and the minimum value in the first sensing data collected within the first fixed time are eliminated, the average value of the remaining sensing data is calculated to obtain the average voltage value within the first fixed time, that is, the first detection data. And judging whether the average voltage value in the first fixed time meets a first preset condition or not, so that the accuracy of judging the interferent is further improved.
As described above, when the first detection data meets the first preset condition, the sleep monitor acquires the second detection data of the second sensor to obtain the human body sign parameters. Specifically, referring to fig. 6, step S33 includes:
s331, sampling second sensing data of the second sensor at a preset sampling frequency;
the second sensor is specifically a piezoelectric film sensor, and the piezoelectric film sensor is a dynamic strain sensor and is very suitable for being applied to the surface of human skin to monitor human body sign signals. In this embodiment, the sleep monitor samples the second sensing data of the second sensor at a preset sampling frequency.
S332, preprocessing the second sensing data to obtain second detection data, wherein the preprocessed second detection data is beneficial to analysis of human body sign parameters.
In this embodiment, the preprocessing includes right signal processing such as filtering, enlargeing is carried out to second sensing data, and then obtains comparatively pure second detected data to in accordance with the analytic human sign parameter of second detected data, thereby improved the accuracy of data to a certain extent.
Referring to fig. 7, an embodiment of the present invention provides a detection apparatus of a sleep monitor, where the sleep monitor includes a first sensor and a second sensor, and measurement properties of the first sensor and the second sensor are different, and the apparatus includes:
a first detection processing module 701, configured to acquire first detection data of the first sensor at a first fixed time, where the first sensor is configured to sense a pressure applied to the sleep monitor;
a second detection processing module 702, configured to, when the first detection data meets a first preset condition, sample second detection data of a second sensor according to a preset sampling frequency, where the second sensor is configured to detect a human body sign parameter currently sensed by the sleep monitor;
a sign parameter output module 703, configured to analyze the human sign parameter in the second detection data, and output the human sign parameter when the human sign parameter is greater than a preset threshold.
The sleep monitor collects first detection data in a first fixed time through the first sensor, and when the first detection data meet a first preset condition, interference of a certain interfering object is eliminated to a certain extent.
In some embodiments, when the first detection data does not satisfy the first preset condition, returning to a sleep monitor to continue acquiring the first detection data of the first sensor at a first fixed time. The second sensor may be controlled to be in a standby or power-off state at this time to reduce power consumption of the sleep monitor.
The second sensor is specifically a piezoelectric film sensor, and the piezoelectric film sensor is a dynamic strain sensor and is very suitable for being applied to the surface of human skin to monitor human body sign signals. The sleep monitor samples second detection data of the second sensor at a preset sampling frequency, extracts human body sign parameters in the second detection data, and compares the human body sign parameters with a preset threshold value, so that invalid data are further eliminated, and the accuracy of the sleep monitor in monitoring the human body sign data is improved.
In some embodiments, when the human body sign parameter is less than or equal to the preset threshold, the first detection data of the first sensor at a first fixed time is continuously acquired. And then, whether the human body physical sign parameters in the second detection data collected by the second sensor are valid data or not is judged, and then invalid data are further eliminated, so that the accuracy of monitoring the human body physical sign data by the sleep monitor is improved.
In the embodiment of the invention, the sleep monitor comprises a sleep pad, wherein a first sensor and a second sensor are arranged in the sleep pad, first detection data of the first sensor in a first fixed time is acquired, and the first sensor is used for detecting pressure sensed by the sleep pad; when the first detection data meet a first preset condition, sampling second detection data of a second sensor according to a preset sampling frequency, wherein the second sensor is used for detecting human body sign parameters sensed by the sleep cushion; and analyzing the human body sign parameters in the second detection data, and outputting the human body sign parameters when the human body sign parameters are larger than a preset threshold value. Therefore, when the first detection data of the first sensor meets the first preset condition, the interference of a certain interfering object is eliminated to a certain extent, and further the second detection data of the second sensor is compared with the preset threshold value, so that invalid data are further eliminated, and the accuracy of the sleep monitor for monitoring the human body sign data is improved.
Another embodiment of the present invention also provides a non-transitory computer-readable storage medium storing computer-executable instructions for causing a sleep detector to perform the above-described detection method.
It should be noted that the above-described device embodiments are merely illustrative, where the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a general hardware platform, and certainly can also be implemented by hardware. It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware related to instructions of a computer program, which can be stored in a computer readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; within the idea of the invention, also technical features in the above embodiments or in different embodiments may be combined, steps may be implemented in any order, and there are many other variations of the different aspects of the invention as described above, which are not provided in detail for the sake of brevity; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

Claims (9)

1. A detection method of a sleep monitor, wherein the sleep monitor comprises a sleep mat, a first sensor and a second sensor are arranged in the sleep mat, the first sensor and the second sensor are different types of sensors, and the method comprises the following steps:
acquiring first detection data of the first sensor in a first fixed time, wherein the first sensor is used for detecting the pressure sensed by the sleep mat;
when the first detection data meet a first preset condition, sampling second detection data of a second sensor according to a preset sampling frequency, wherein the second sensor is used for detecting human body sign parameters sensed by the sleep cushion;
and analyzing the human body sign parameters in the second detection data, and outputting the human body sign parameters when the human body sign parameters are larger than a preset threshold value.
2. The method of claim 1, further comprising:
and when the first detection data do not meet the first preset condition, returning to the step of acquiring the first detection data of the first sensor at a first fixed time.
3. The method of claim 1, further comprising:
and when the human body sign parameter is smaller than or equal to the preset threshold, returning to the step of acquiring first detection data of the first sensor at a first fixed time.
4. The method of any one of claims 1-3, wherein the obtaining first detection data of the first sensor at a first fixed time comprises:
acquiring first sensing data of the first sensor within the first fixed time;
and carrying out average value calculation on the first sensing data in the first fixed time to obtain the first detection data.
5. The method according to any one of claims 1-3, wherein the sampling the second detection data of the second sensor according to the preset sampling frequency comprises:
sampling second sensing data of the second sensor at a preset sampling frequency;
and preprocessing the second sensing data to obtain second detection data, wherein the preprocessed second detection data is beneficial to the analysis of human body sign parameters.
6. A detection apparatus of a sleep monitor, the sleep monitor comprising a first sensor and a second sensor, the first sensor and the second sensor having different measurement properties, the apparatus comprising:
the first detection processing module is used for acquiring first detection data of the first sensor at a first fixed time, wherein the first sensor is used for sensing the pressure applied to the sleep monitor;
the second detection processing module is used for sampling second detection data of the second sensor according to a preset sampling frequency when the first detection data meet a first preset condition, wherein the second sensor is used for detecting human body sign parameters sensed by the sleep monitor at present;
and the sign parameter output module is used for analyzing the human sign parameters in the second detection data, and outputting the human sign parameters when the human sign parameters are larger than a preset threshold value.
7. A sleep monitor is characterized by comprising a sleep cushion provided with a first sensor and a second sensor, a microprocessor and a storage unit, wherein a computer program is stored in the storage unit;
the microprocessor is electrically connected to the first sensor and the second sensor, respectively, and when the computer program is executed by the microprocessor, the control method of the sleep monitor according to any one of claims 1 to 5 is implemented.
8. A sleep mattress, characterized in that the sleep mattress comprises a mattress body and a sleep monitor as claimed in claim 7.
9. A non-transitory computer-readable storage medium having stored thereon computer-executable instructions for causing an electronic device to perform the method of any of claims 1-5.
CN202110868981.1A 2021-07-30 2021-07-30 Sleep monitor detection method and device and sleep monitor Pending CN113679344A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117481621A (en) * 2023-11-02 2024-02-02 华中科技大学 Non-inductive intelligent vital sign monitoring equipment, method, medium, system and terminal

Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005342188A (en) * 2004-06-02 2005-12-15 Delta Tooling Co Ltd System for deciding mental and physical condition
US20070118054A1 (en) * 2005-11-01 2007-05-24 Earlysense Ltd. Methods and systems for monitoring patients for clinical episodes
CN104257368A (en) * 2014-10-13 2015-01-07 天津工业大学 Device for monitoring sleep and screening obstructive sleep apnea syndrome
US20150230750A1 (en) * 2012-09-19 2015-08-20 Resmed Sensor Technologies Limited System and method for determining sleep stage
US20170181635A1 (en) * 2015-08-21 2017-06-29 Boe Technology Group Co., Ltd. Human sleep monitoring device and monitoring method thereof
CN108042108A (en) * 2017-12-06 2018-05-18 中国科学院苏州生物医学工程技术研究所 A kind of sleep quality monitoring method and system based on body shake signal
CN108697327A (en) * 2017-09-27 2018-10-23 深圳和而泰智能控制股份有限公司 A kind of physiologic information monitoring method, device, equipment and intelligence pad
CN109480795A (en) * 2018-10-12 2019-03-19 青岛中物云传智能科技有限公司 A kind of sleep detection apparatus
CN111166295A (en) * 2020-02-12 2020-05-19 苏州明皜传感科技有限公司 Sleep monitoring method and device and sleep monitoring equipment
CN111657890A (en) * 2020-06-23 2020-09-15 深圳市联奕实业有限公司 Sleep state monitoring method and device, intelligent mattress and medium
CN111920379A (en) * 2020-06-17 2020-11-13 珠海格力电器股份有限公司 Sleep detection method and device, electronic equipment and storage medium
CN111938584A (en) * 2020-07-21 2020-11-17 深圳数联天下智能科技有限公司 Sleep monitoring method and equipment
CN112155526A (en) * 2020-09-29 2021-01-01 李树志 Sleep monitoring device and control method thereof
CN112244773A (en) * 2020-10-15 2021-01-22 上海我乐科技有限公司 Sleep quality monitoring device and method and mattress
CN112998670A (en) * 2021-02-23 2021-06-22 珠海泉石智能科技有限公司 Sleep quality monitoring system and sleep quality monitoring method

Patent Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005342188A (en) * 2004-06-02 2005-12-15 Delta Tooling Co Ltd System for deciding mental and physical condition
US20070118054A1 (en) * 2005-11-01 2007-05-24 Earlysense Ltd. Methods and systems for monitoring patients for clinical episodes
US20150230750A1 (en) * 2012-09-19 2015-08-20 Resmed Sensor Technologies Limited System and method for determining sleep stage
CN104257368A (en) * 2014-10-13 2015-01-07 天津工业大学 Device for monitoring sleep and screening obstructive sleep apnea syndrome
US20170181635A1 (en) * 2015-08-21 2017-06-29 Boe Technology Group Co., Ltd. Human sleep monitoring device and monitoring method thereof
CN108697327A (en) * 2017-09-27 2018-10-23 深圳和而泰智能控制股份有限公司 A kind of physiologic information monitoring method, device, equipment and intelligence pad
CN108042108A (en) * 2017-12-06 2018-05-18 中国科学院苏州生物医学工程技术研究所 A kind of sleep quality monitoring method and system based on body shake signal
CN109480795A (en) * 2018-10-12 2019-03-19 青岛中物云传智能科技有限公司 A kind of sleep detection apparatus
CN111166295A (en) * 2020-02-12 2020-05-19 苏州明皜传感科技有限公司 Sleep monitoring method and device and sleep monitoring equipment
CN111920379A (en) * 2020-06-17 2020-11-13 珠海格力电器股份有限公司 Sleep detection method and device, electronic equipment and storage medium
CN111657890A (en) * 2020-06-23 2020-09-15 深圳市联奕实业有限公司 Sleep state monitoring method and device, intelligent mattress and medium
CN111938584A (en) * 2020-07-21 2020-11-17 深圳数联天下智能科技有限公司 Sleep monitoring method and equipment
CN112155526A (en) * 2020-09-29 2021-01-01 李树志 Sleep monitoring device and control method thereof
CN112244773A (en) * 2020-10-15 2021-01-22 上海我乐科技有限公司 Sleep quality monitoring device and method and mattress
CN112998670A (en) * 2021-02-23 2021-06-22 珠海泉石智能科技有限公司 Sleep quality monitoring system and sleep quality monitoring method

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117481621A (en) * 2023-11-02 2024-02-02 华中科技大学 Non-inductive intelligent vital sign monitoring equipment, method, medium, system and terminal
CN117481621B (en) * 2023-11-02 2024-05-17 华中科技大学 Non-inductive intelligent vital sign monitoring equipment, method, medium, system and terminal

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