WO2019061081A1

WO2019061081A1 - Method, apparatus, and device for monitoring physiological information and smart pad

Info

Publication number: WO2019061081A1
Application number: PCT/CN2017/103722
Authority: WO
Inventors: 罗国发
Original assignee: 深圳和而泰智能控制股份有限公司
Priority date: 2017-09-27
Filing date: 2017-09-27
Publication date: 2019-04-04
Also published as: CN108697327B; CN108697327A

Abstract

A method, apparatus, and device for monitoring physiological information and a smart pad, the method comprising: obtaining a pressure electrical signal of a human body (201); sampling pressure values on the basis of the pressure electrical signal by using preset sampling periods, and sampling N pressure values during each preset sampling period, N being a positive integer greater than 2 (202); according to the N pressure values, obtaining a shaking parameter that reflects a shaking condition of the N pressure values (203); according to the shaking parameter, determining a state of the human body during a preset sampling period (204); according to the state of the human body during each preset sampling period, obtaining a sleep quality parameter of the human body (205). The method, apparatus and device for monitoring physiological information and the smart pad are suitable for household use and monitor basic health conditions of a user, while the price of the product is low.

Description

Physiological information monitoring method, device, device and smart pad

Technical field

The embodiments of the present application relate to physiological information monitoring technologies, and in particular, to a physiological information monitoring method, apparatus, device, and smart pad.

Background technique

Because babies are weak, they need more care. Baby monitoring products monitor the health of babies and provide great convenience for families with babies. Infant care products that monitor infant heart rate and respiratory rate are currently available on the market to determine the baby's health through monitored infant heart rate and respiratory rate.

In the process of implementing the present application, the inventors found that the related art has at least the following problems:

Current baby monitoring products are expensive, and heart rate and respiratory rate are mostly used for the diagnosis of diseases, and are not suitable for monitoring the basic health conditions in the home.

Application content

The purpose of the embodiments of the present application is to provide a physiological information monitoring method, device, device and smart pad, which can monitor the sleep quality of the human body, is suitable for monitoring the basic health condition of the household, and has low product price.

In a first aspect, in order to solve the above technical problem, a technical solution adopted by the embodiment of the present application is to provide a physiological information monitoring method, where the method includes:

Obtaining the pressure electrical signal of the human body;

Sampling the pressure value by a preset sampling period based on the pressure electrical signal, sampling N pressure values in each preset sampling period, the N being a positive integer greater than 2;

Obtaining a jitter parameter reflecting a jitter condition of the N pressure values according to the N pressure values;

Determining, according to the jitter parameter, a state of the human body in the preset sampling period;

The sleep quality parameter of the human body is obtained according to the state of the human body in each preset sampling period.

Optionally, the method further includes:

And obtaining a weight of the human body according to a state of the human body in the preset sampling period and a pressure value in the preset sampling period.

Optionally, the obtaining, according to the N the pressure values, a jitter parameter that reflects a jitter condition of the N the pressure values, including:

Obtaining a frequency value reflecting a jitter frequency of the N of the pressure values according to the N pressure values;

An amplitude value reflecting the jitter amplitude of the N said pressure values is obtained from the N said pressure values.

Optionally, the obtaining, by the N the pressure values, a frequency value that reflects a jitter frequency of the N the pressure values, including:

Calculating an absolute value of a difference between the latter pressure value and the previous pressure value among the N pressure values, to obtain N-1 second absolute values;

N-1 said second absolute values are accumulated to obtain a frequency value reflecting the jitter frequency of the N said pressure values.

Optionally, the obtaining, according to the N the pressure values, magnitude values of the jitter amplitudes that reflect the N pressure values, including:

Obtaining an average of the N said pressure values;

Calculating an absolute value of a difference between each of the pressure values and the average value, obtaining N first absolute values;

The N first first absolute values are accumulated to obtain an amplitude value reflecting the jitter amplitude of the N said pressure values.

Optionally, the determining, according to the jitter parameter, the state of the human body in the preset sampling period, including:

If the frequency value is greater than or equal to the preset frequency value in the preset sampling period, confirm that the human body is in the first state;

If the frequency value is less than the preset frequency value, and the amplitude value is less than the preset amplitude value, confirm that the human body is in the second state;

If the frequency value is less than the preset frequency value, and the amplitude value is greater than or equal to the preset amplitude value, it is confirmed that the human body is in the third state.

Optionally, the obtaining, according to the state of the human body in each preset sampling period, the sleep quality parameter of the human body, including:

The durations of the respective predetermined sampling periods in the second state are accumulated to obtain the sleep duration of the human body.

Optionally, the sleeping of the human body is obtained according to the state of the human body in each preset sampling period. Sleep quality parameters, including:

In each preset sampling period, if the state of the preset sampling period is the third state, and the previous preset sampling period of the preset sampling period is other than the third state, it is recorded as a body motion, The sum of the number of physical movements is recorded as the number of body movements.

Optionally, the obtaining, according to the state of the human body in the preset sampling period and the pressure value in the preset sampling period, the weight of the human body, including:

The mean value of the N pressure values in the preset sampling period in the second state is taken as the body weight of the human body.

Optionally, before the sampling the pressure value in the preset sampling period based on the pressure electrical signal, and sampling the N pressure values in each preset sampling period, the method further includes:

A pressure sample value is obtained based on the pressure electrical signal, and if the pressure sample value is less than the first preset pressure threshold, entering a low power mode of operation.

In a second aspect, in order to solve the above technical problem, a technical solution adopted by the embodiment of the present application is to provide a physiological information monitoring device, where the device includes:

a pressure electric signal acquisition module for acquiring a pressure electric signal of the human body;

a sampling module, configured to sample a pressure value according to the pressure electrical signal by a preset sampling period, and sample N pressure values in each preset sampling period, where N is a positive integer greater than 2;

a jitter parameter obtaining module, configured to obtain, according to the N the pressure values, a jitter parameter that reflects a jitter condition of the N pressure values;

a status confirmation module, configured to determine, according to the jitter parameter, a state of the human body in the preset sampling period;

The sleep quality parameter obtaining module is configured to obtain the sleep quality parameter of the human body according to the state of the human body in each preset sampling period.

In a third aspect, in order to solve the above technical problem, a technical solution adopted by the embodiment of the present application is to provide a physiological information monitoring device, including:

At least one load cell for converting a human body pressure received by the load cell into a pressure electrical signal;

a control unit electrically coupled to the at least one of the load cells for processing the pressure electrical signal, the control unit comprising at least one processor and a memory, the memory being stored for being processable by the at least one An instruction executed by the at least one processor to Having the at least one processor be capable of performing the method described above.

In a fourth aspect, in order to solve the above technical problem, a technical solution adopted by the embodiment of the present application is to provide a smart pad, including:

a pad body, the pad body is configured to carry a human body;

In the above physiological information monitoring device, the weighing sensor in the physiological information monitoring device is disposed below the pad body.

In a fifth aspect, in order to solve the above technical problem, a technical solution adopted by the embodiment of the present application is to provide a non-volatile readable storage medium, where the storage medium stores executable instructions, when the executable instructions are When the physiological information monitoring device is executed, the physiological information monitoring device is caused to perform the above method.

The beneficial effects of the embodiment of the present application are: different from the prior art, the embodiment of the present application obtains a pressure electric signal of a human body, and samples a pressure value according to the pressure electric signal by a preset sampling period, in each preset sampling period. The N pressure values are sampled, and the state of the human body in the preset sampling period is obtained according to each pressure value in each preset sampling period, so that the sleep quality parameter of the human body is obtained according to the state of the human body in each preset sampling period. Suitable for household monitoring of basic health conditions, and the product price is low.

DRAWINGS

The one or more embodiments are exemplified by the accompanying drawings in the accompanying drawings, and FIG. The figures in the drawings do not constitute a scale limitation unless otherwise stated.

1 is a schematic diagram of an application scenario of a physiological information monitoring method, apparatus, device, and smart pad provided by an embodiment of the present application;

2 is a schematic flowchart of a physiological information monitoring method provided by an application embodiment;

3 is a schematic flow chart of obtaining amplitude values in a jitter parameter in an embodiment of a physiological information monitoring method of the present application;

4 is a schematic flow chart of obtaining frequency values in a jitter parameter in an embodiment of a physiological information monitoring method of the present application;

FIG. 5 is a schematic flowchart of a physiological information monitoring method provided by an application embodiment; FIG.

6 is a schematic structural diagram of a physiological information monitoring apparatus according to an embodiment of the present application;

7 is a schematic structural diagram of a jitter parameter acquisition module in an embodiment of the physiological information monitoring apparatus of the present application;

8 is a schematic structural view of an embodiment of a physiological information monitoring apparatus of the present application;

9 is a schematic diagram showing the hardware structure of an embodiment of the physiological information monitoring apparatus of the present application;

10 is a schematic structural diagram of an embodiment of a physiological information monitoring device of the present application;

11 is a schematic structural view of an embodiment of a physiological information monitoring device of the present application;

12 is a schematic diagram showing the electrical structure of an electrical part in one embodiment of the physiological information monitoring apparatus of the present application;

Figure 13 is a schematic view showing the electrical structure of an electric portion in one embodiment of the physiological information monitoring apparatus of the present application.

Specific embodiment

In order to make the objects, technical solutions, and advantages of the present application more comprehensible, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It is understood that the specific embodiments described herein are merely illustrative of the application and are not intended to be limiting.

Further, the technical features involved in the various embodiments of the present application described below may be combined with each other as long as they do not constitute a conflict with each other.

The physiological information monitoring method and apparatus provided by the embodiments of the present application are applicable to the application scenario shown in FIG. 1 , where the application scenario includes a smart pad 100, a communication terminal 200, and a human body 300, and the smart pad 100 is used to monitor the weight of the human body 300. / or sleep quality, then the body weight and / or sleep quality parameters of the human body 300 are sent to the communication terminal 200 to store and display the weight and / or sleep quality parameters at the communication terminal 200 for the user to view. Among them, the communication terminal 200 is, for example, a mobile phone, a tablet computer, a personal computer, or the like. The human body 300 can be an infant or an adult. The physiological information monitoring method, device, device, and smart pad are particularly suitable for monitoring the weight and sleep quality of the baby, but are also suitable for adults in some applications.

The smart pad 100 includes a physiological information monitoring device 101 and a pad body 102. The pad body 102 is used to carry the human body 300. The physiological information monitoring device 101 includes a control system 10 and at least one load cell 20, and the control system 10 and the load cell 20 are disposed on Below the pad body 102, the load cell 20 is used to sense the pressure from the human body 300 received by the pad body 102 and generate a pressure electrical signal according to the pressure. The control system 10 is configured to obtain the weight of the human body 300 based on the pressure electrical signal and/or Or sleep quality parameters.

As shown in FIG. 2, the embodiment of the present application provides a physiological information monitoring method, which can be performed by the physiological information monitoring device 101 in FIG. 1, and the method includes:

Step 201: Acquire a pressure electrical signal of the human body;

The physiological information monitoring device 101 can measure the pressure of the human body to which the load cell 20 is subjected by the load cell 20, and generate a pressure electric signal based on the pressure.

Step 202: Sampling a pressure value according to the pressure electrical signal by a preset sampling period, and sampling N pressure values in each preset sampling period, where N is a positive integer greater than 2;

For example, the preset sampling period is set to 5s, and based on the sampling rate of the pressure electrical signal at a sampling rate of 10 Hz, N=50 pressure values will be acquired in a preset sampling period (N=sampling period* sampling rate). .

Step 203: Obtain a jitter parameter that reflects a jitter condition of the N pressure values according to the N pressure values.

The jitter parameter may be a frequency value reflecting a jitter frequency of the N pressure values. The jitter parameter may also be a frequency value reflecting a jitter frequency of the N of the pressure values and an amplitude value reflecting a jitter amplitude of the N of the pressure values.

Step 204: Determine, according to the jitter parameter, a state of the human body in the preset sampling period;

Specifically, in some embodiments of the method, when the jitter parameter includes a frequency value of a jitter frequency reflecting N pressure values and an amplitude value reflecting a jitter amplitude of the N pressure values, each pre-determination is determined according to the jitter parameter. Set the state of the human body during the sampling period, including:

When the frequency value is greater than or equal to the preset frequency value, the jitter frequency of the N pressure values is high, and when the frequency value is less than the preset frequency value, the jitter frequency of the N pressure values is low.

When the amplitude value is greater than or equal to the preset amplitude value, the jitter amplitude of the N pressure values is large, and when the amplitude value is less than the preset amplitude value, the jitter amplitude of the N pressure values is small.

Wherein, when the jitter frequency is high, the human body is considered to be active regardless of whether the jitter amplitude is large or small, that is, the human body is in the first state during the sampling period;

When the jitter frequency is low and the jitter amplitude is small, it can be considered that the human body is sleeping and no body motion occurs, that is, during the sampling period, that is, the human body is in the second state;

When the jitter frequency is low and the jitter amplitude is large, it can be considered that the human body is sleeping, but body motion occurs, that is, the human body is in the third state during the sampling period.

For specific applications, the state of the human body may be marked for each preset sampling period, for example, the first state flag is 1, the second state flag is 2, and the third state flag is 3.

The details are as follows:

The human body state is marked for each preset sampling period as above, and the status flag series can be obtained for a period of time. For example: 11111122222332222221111.

In still other embodiments of the method, when the jitter parameter includes only the frequency value of the jitter frequency reflecting the N pressure values, determining the state of the human body in each preset sampling period according to the jitter parameter includes:

When the jitter frequency is high, that is, when the frequency value is greater than or equal to the frequency preset value, the human body can be considered to be active, that is, the human body is in the first state during the sampling period;

When the jitter frequency is low, that is, when the frequency value is greater than or equal to the frequency preset value, it can be considered that the human body is sleeping, and the state can be regarded as the fourth state, and the state is indicated by the mark 4. The details are as follows:

抖动频率Jitter frequency	状态标记Status tag	人体状态分析Human body state analysis
高high	11	人体醒着在活动The human body is awake at the event
低low	44	人体在睡觉The human body is sleeping

Then for a period of time, it is possible to get a sequence of status flags. For example: 111111444444441111.

Step 205: Obtain a sleep quality parameter of the human body according to a state of the human body in each preset sampling period.

Specifically, the quality of sleep can be reflected by the length of sleep and/or the number of body movements. In the same period of time, the longer the sleep duration, the better the sleep quality, the fewer the number of body movements, and the better the sleep quality.

The sleep duration may be obtained by accumulating the durations of the respective predetermined sampling periods in the second state. For example, if the number of status flags obtained in a period of time is: 11111122222332222221111, then the preset sampling period in the second state has 11 cycles, then sleep The duration is the preset sampling period *11. The sleep duration can also be obtained by accumulating the durations of the respective predetermined sampling periods in the fourth state. For example, if the number of status flags obtained in a period of time is: 111111444444441111, the preset sampling period in the fourth state has 8 periods, and the sleep duration is the preset sampling period *8.

The number of body motions can be obtained by the number of preset sampling periods in the third state. If there is a continuous preset sampling period in which the state is the third state, the continuous preset sampling period is taken as one body motion, The discrete preset sampling period of the third state is taken as a body motion, and the sum of the number of physical motions of each successive preset sampling period and the discrete preset sampling period in the third state is obtained as the body of the human body. Number of times. That is, in each preset sampling period, if the state of the preset sampling period is the third state, and the previous preset sampling period of the preset sampling period is other than the third state, it is recorded as a body motion. . For example, if the number of status flags obtained in a period of time is: 111311122222332222221111, the former 3 is discretely counted as one body motion, the last two 3s are continuous, and the two 3 are counted as one body motion, then during this time The body has a total of 2 movements.

The embodiment of the present application obtains a pressure electric signal of a human body, samples a pressure value according to the pressure electric signal by a preset sampling period, samples N pressure values in each preset sampling period, and according to each preset sampling period. The respective pressure values obtain the state of the human body in the preset sampling period, thereby obtaining the sleep quality parameter of the human body according to the state of the human body in each preset sampling period. Suitable for household monitoring of basic health conditions, and the product price is low.

Optionally, in other embodiments of the method, the method further includes:

Specifically, because the pressure applied by the load cell and the gravity of the human body are the relationship between the force and the reaction force, the body weight can be directly calculated according to any pressure value. The body weight of the human body can also be calculated from the average of the N pressure values in any preset sampling period. The body weight of the human body may also be calculated according to the mean value of the N pressure values in the preset sampling period in the fourth state, that is, the body weight of the human body is calculated according to the mean value of the pressure value in the human body sleep state. The body weight of the human body can also be calculated according to the mean value of the N pressure values in the preset sampling period in the second state, that is, the body weight is calculated according to the mean value of the pressure value in the body motion state in which the human body sleeps, because the body does not have body motion In the state, the pressure is equal to the gravity, and the body weight value obtained according to the pressure value at this time is more accurate.

The embodiment of the present application realizes simultaneous monitoring of the body weight and sleep quality of the human body, and the weight and sleep quality parameters can be obtained simultaneously by using only one product, which provides convenience for the user and high user experience.

Specifically, as shown in FIG. 3, in some embodiments of the method, the amplitude value of the jitter amplitude reflecting the N of the pressure values may be obtained by:

Step 2031: Obtain an average value of the N pressure values;

Step 2032: Calculate an absolute value of a difference between each of the pressure values and the average value, and obtain N first absolute values;

Step 2033: Accumulate the N first absolute values to obtain amplitude values reflecting the jitter amplitudes of the N pressure values.

For example, when N is 50, adding 50 pressure values and dividing by 50 will give the average of the 50 pressure values. Then, the absolute value of the difference between the pressure value and the mean value of the 50 pressure values is obtained, and the 50 absolute values are accumulated, that is, the amplitude value of the jitter amplitude reflecting the 50 pressure values is obtained.

Alternatively, after obtaining the mean value of the N pressure values, the variance of each of the N pressure values and the mean value may be obtained, and the sum of the N variances is used as the jitter amplitude reflecting the N pressure values. The magnitude of the amplitude.

Specifically, as shown in FIG. 4, in some embodiments of the method, the frequency value of the jitter frequency reflecting the N pressure values can be obtained by:

Step 2034: Calculate the absolute value of the difference between the latter pressure value and the previous pressure value among the N pressure values, to obtain N-1 second absolute values;

Step 2035: Accumulate N-1 the second absolute values to obtain a frequency value reflecting the jitter frequency of the N pressure values.

For example, when N is 50, the absolute value of the difference between the latter pressure value and the previous pressure value is sequentially obtained among 50 pressure values, and 49 absolute values are obtained, and the sum of 49 absolute values is taken as The frequency value of the jitter frequency reflecting the 50 pressure values.

Optionally, as shown in FIG. 5, in another embodiment of the method, the pressure value is sampled at a preset sampling period based on the pressure electrical signal, and N pressures are sampled in each preset sampling period. Before the value, that is, between step 301 and step 303, in addition to

steps

301, 303, 304, 305 and 306, (for specific technical details of

steps

301, 303, 304, 305 and 306, please refer to steps 201-205, This will not be described again.) The method also includes:

Step 302: Obtain a pressure sampling value based on the pressure electrical signal, and enter a low power working mode if the pressure sampling value is less than the first preset pressure threshold.

When the pressure sampling value is lower than the first preset pressure threshold, it indicates that the human body is not on the pad body 102 at this time, and the low power consumption mode is entered at this time to reduce power consumption. When the pressure sampling value is higher than the first preset pressure threshold, it indicates that the human body is on the pad body 102 at this time, and then enters the normal working mode, and samples based on the pressure electric signal at a preset sampling rate.

Correspondingly, as shown in FIG. 6, the embodiment of the present application further provides a physiological information monitoring device, which is located in the physiological information monitoring device 101 in FIG. 1, and the device includes:

The pressure electrical signal acquisition module 401 is configured to acquire a pressure electrical signal of the human body;

The sampling module 402 is configured to sample the pressure value by using a preset sampling period based on the pressure electrical signal, and sample N pressure values in each preset sampling period, where N is a positive integer greater than 2;

The jitter parameter obtaining module 403 is configured to obtain, according to the N pieces of the pressure values, a jitter parameter that reflects a jitter condition of the N pressure values;

a status confirmation module 404, configured to determine, according to the jitter parameter value, a state of the human body in the preset sampling period;

The sleep quality parameter obtaining module 405 is configured to obtain the sleep quality parameter of the human body according to the state of the human body in each preset sampling period.

Optionally, in other embodiments of the device, the device further includes:

The weight obtaining module is configured to obtain the weight of the human body according to the state of the human body in the preset sampling period and the pressure value in the preset sampling period.

Specifically, as shown in FIG. 7, in some embodiments of the apparatus, the jitter parameter obtaining module 403 includes:

The amplitude obtaining module 4031 is configured to obtain, according to the N pieces of the pressure values, amplitude values that reflect the jitter amplitudes of the N pressure values;

The frequency obtaining module 4032 is configured to obtain, according to the N pieces of the pressure values, frequency values that reflect the jitter frequencies of the N pressure values.

Specifically, in some embodiments of the device, the frequency obtaining module 4032 is specifically configured to:

Specifically, in some embodiments of the apparatus, the amplitude obtaining module 4031 is specifically configured to:

Obtaining an average of the N said pressure values;

Specifically, in some embodiments of the device, the status confirmation module 404 is specifically configured to:

Specifically, in some embodiments of the device, the sleep quality parameter obtaining module 405 is specifically configured to:

Optionally, in other embodiments of the device, the sleep quality parameter obtaining module 405 is further configured to:

Optionally, in other embodiments of the device, the weight acquiring module is specifically configured to:

Optionally, as shown in FIG. 8, in other embodiments of the device, the device includes a pressure electrical signal acquisition module 401, a sampling module 402, a jitter parameter acquisition module 403, a status confirmation module 404, and weight and sleep quality. In addition to the parameter acquisition module 405, the method further includes:

The working mode selection module 406 is configured to obtain a pressure sampling value based on the pressure electrical signal, and enter a low power working mode if the pressure sampling value is less than the first preset pressure threshold.

It should be noted that the foregoing apparatus can perform the method provided by the embodiment of the present application, and has the corresponding functional modules and beneficial effects of the execution method. For technical details that are not described in detail in this embodiment, reference may be made to the method provided by the embodiments of the present application.

Correspondingly, as shown in FIG. 9 , the embodiment of the present application further provides a physiological information monitoring device 101. The physiological information monitoring device 101 includes: at least one load cell 20 and a control unit 11, wherein the control unit 11 can be located in the figure. In the control system 10 shown in FIG. 1, the control unit 11 is electrically connected to at least one load cell 20. The load cell 20 is used to convert the human body pressure received by the load cell 20 into a pressure electric signal, and the control unit 11 is configured to process the pressure electric signal. The control unit 11 includes:

At least one processor 112 (illustrated by one processor in FIG. 9) and a memory 111, the processor 112 and the memory 111 may be connected by a bus or other means, and the bus connection is taken as an example in FIG.

The memory 111 is configured to store a non-volatile software program, a non-volatile computer-executable program, and a module, such as a program instruction/module corresponding to the physiological information monitoring method in the embodiment of the present application (for example, the pressure shown in FIG. 6) Electrical signal acquisition module 401). The processor 112 executes various functional applications and data processing by executing non-volatile software programs, instructions, and modules stored in the memory 111, that is, implementing the physiological information monitoring method of the above method embodiments.

The memory 111 may include a storage program area and an storage data area, wherein the storage program area may store an operating system, an application required for at least one function; the storage data area may store data created by monitoring the use of the device according to the physiological information, and the like. Further, the memory 111 may include a high speed random access memory, and may also include a nonvolatile memory such as at least one magnetic disk storage device, flash memory device, or the like. Non-volatile solid-state storage device. In some embodiments, the memory 111 can optionally include a memory remotely located relative to the processor 112 that can be connected to the physiological information monitoring device via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The one or more modules are stored in the memory 111, and when executed by the one or more processors 112, perform a physiological information monitoring method in any of the above method embodiments, for example, performing the above described FIG. Method steps 201-205, method steps 2031-2033 in FIG. 3, method steps 2034-2035 in FIG. 4, method steps 301 to 306 in FIG. 5; implementing modules 401-405 in FIG. The function of module 403, sub-module 4031-4032, and module 401-406 in FIG.

In the present embodiment, the load cell 20 employs a resistance strain sensor, which is mainly composed of an elastic member, a strain gauge, a measuring circuit, and a transmission cable. The core component of the resistance strain sensor is a resistance strain gauge, which is wound into a grid shape (or etched into a grid shape by a thin metal foil) by a Φ=0.02-0.05mm copagne wire or a nickel chrome wire. Made of medium (substrate), it can convert the change of strain on mechanical components into resistance change. The resistance strain gauge is attached to the elastic component. When the human body acts on the pad body 102, the pad body 102 receives the pressure from the human body and transmits the pressure to the resistance strain sensor. The elastic component of the resistance strain sensor receives the pressure from the pad body 102. The deformation occurs, and the resistance strain gauge thereon is deformed and causes the resistance to change. The measuring circuit measures the change in the resistance strain gauge resistance and converts it into a pressure electrical signal output proportional to the magnitude of the pressure. In other embodiments, the load cell 20 may also be a photoelectric sensor, a hydraulic sensor, an electromagnetic force sensor, a capacitive sensor, a magnetic pole deformation sensor, a vibration sensor, or a gyro ceremony sensor.

The embodiments of the present application can also realize the simultaneous monitoring of body weight and sleep quality parameters, and the weight and sleep conditions belong to two different categories. The products for realizing weight monitoring and the products for monitoring sleep conditions in the prior art adopt different types of products. The sensor generally requires two or more types of sensors. The physiological information monitoring device provided by the embodiment of the present application can simultaneously monitor the weight and sleep conditions with a single sensor, which is simple in use and low in cost.

Embodiments of the present application provide a storage medium storing computer executable instructions that are executed by one or more processors (eg, one processor 112 in FIG. 9), such that The one or more processors may perform the physiological information monitoring method in any of the above method embodiments, for example, perform the method steps 201-205 in FIG. 2 described above, the method steps 2031-2033 in FIG. 3, and in FIG. Method steps 2034-2035, method steps 301 to 306 in FIG. 5; implementing the functions of modules 401-405 in FIG. 6, module 403 in FIG. 7, sub-modules 4031-4032, and modules 401-406 in FIG. .

Correspondingly, referring to FIG. 1 , FIG. 10 and FIG. 11 , the embodiment of the present application further provides a smart pad 100 including a pad body 102 and the above-mentioned physiological information monitoring device 101 , and the physiological information monitoring device 101 includes control System 10 and at least one load cell 20, control system 10 includes a control unit (not shown in Figures 1, 10 and 11). The control system 10 and the load cell 20 are disposed under the pad body 102. The control unit in the control system 10 is electrically connected to the load cell 20 through a connection line 40, and the load cell 20 is used to sense the pad body 102. The pressure from the human body generates a pressure electrical signal based on the pressure, and the control unit is configured to obtain pressure information based on the pressure electrical signal.

The pad body 102 includes a soft board 1021 and a hard board 1022. The soft board 1021 and the hard board 1022 are stacked, the hard board 1021 is located below the soft board 1022, and the control system 10 and the load cell 20 are disposed on the hard board. On the bottom surface of the plate 1022. Control system 10 can power control system 10 and load cell 20 by externally connecting power from electrical interface line 19.

In this embodiment, the pad body 102 is in the form of a superficial plate 1021 and a hard plate 1022, mainly considering that the soft board 1021 needs to contact the human body, and the soft material can improve the comfort. The hard plate 1022 mainly serves as a support for uniformly transmitting the pressure of the human body received by the pad body 102 to the load cell 20. Among them, the hard board 1022 can be made of plexiglass or other hard material. The plexiglass plate is hard and light, and is suitable for use as a hard plate 1022. The corners of the hard plate 1022 can also be rounded to avoid bumping the baby or the user.

In the present embodiment, the number of the load cells 20 is four, and the four load cells 20 are evenly distributed at the four corners of the pad body 102 to ensure the smoothness of the pad body 102. In other embodiments, the number of the load cells 20 may also be 2, 3, 5 or more, and evenly distributed on the bottom surface of the hard plate 1022, which can ensure that the load cells 20 are evenly stressed. Improve the detection accuracy of pressure information. Optionally, the range of the load cell 20 is three times the maximum weight of the detection object, for example, the detection object is an infant. At the time, since the weight of the baby is generally 9-12 kg, the range of the load cell 20 can be set to 36 kg. The range of the load cell 20 is set to be much larger than the weight of the test object itself, in order to prevent the strain gauge of the load cell 20 from being damaged by damage for a long period of time.

In the present embodiment, the control system 10 is disposed below the pad body 30 and disposed between the respective load cells 20 to save space and facilitate wiring. In other embodiments, the control system 10 can also be disposed on the side of the pad body 102.

In practical applications, the control system 10 can be in the form of a round box or a square box (the scheme of the round box is shown in FIG. 2), and electronic components such as a control unit are placed in the box to avoid electronic components. Corroded or damaged. The connecting wire 40 may be disposed in the wiring tube to prevent the connecting wire 40 from being damaged outside.

The embodiment of the present application also realizes simultaneous monitoring of body weight and sleep quality, and can simultaneously monitor the weight and sleep conditions with the same sensor as compared with the prior art, and is simple to use and low in cost.

It should be noted that the smart pad can be in the form of any mat for the human body to rest and sleep, such as a smart mattress, a smart sofa cushion, and the like.

After obtaining the pressure information as above, in some embodiments of the smart pad, a display can be placed on the smart pad for displaying the pressure information. In other embodiments, referring to FIG. 12, the control system 10 may further include a communication module 15 electrically connected to the control unit 11 for transmitting the pressure information to other communication terminals, such as a mobile phone or a tablet. A computer, a personal computer, etc., to display the pressure information on the communication terminal for the user to view. The communication module may be, for example, a Bluetooth module or a WIFI (Wireless Fidelity) module.

In other embodiments, referring to FIG. 12 , the control system 10 can also include a communication module 15 and a FLASH memory chip (flash memory) 14 . The communication module 15 and the FLASH memory chip 14 are electrically connected to the control unit 11 respectively. The FLASH memory chip 14 is used to store the pressure information, and the communication module 15 as a slave does not actively send pressure information to the communication terminal. Only when the communication terminal establishes a communication connection with the communication module 15, for example, when the infant's guardian opens the mobile application software to communicate with the smart pad, The control unit 11 reads the pressure information from the FLASH memory chip 14 and transmits the pressure information to the communication terminal through the communication module 15 for the baby's guardian to view, which can reduce power consumption and reduce radiation.

Optionally, referring to FIG. 12, in another embodiment of the smart pad, the control system further includes a clock chip 12, and the clock chip 12 is electrically connected to the control unit 11 for providing a clock signal to the control unit 11. . In order to facilitate the control unit 11 to store the pressure information, the pressure information is associated with its corresponding time stamp, so that the user can know the specific moment of the body movement when viewing the pressure information.

In some embodiments of the smart pad, the control system 10 and the load cell 20 are powered by an external power source from the electrical interface line 19, wherein the slave electrical interface line 19 can take the form of a USB interface line. In other embodiments, referring to FIG. 13, the control system 10 further includes a charging chip 16, a battery 17, a first low dropout linear regulator 18b, and a second low dropout linear regulator 18a, one end of the charging chip 16. The charging interface line 19 is connected, the other end of the charging chip 16 is electrically connected to one end of the battery 17, and the other end of the battery 17 is connected to the first low dropout linear regulator 18b and the second low dropout linear regulator 18a, respectively. The low-dropout linear regulator 18b is electrically connected to the load cell 20 and the A/D conversion chip 13, respectively, and the second low-dropout linear regulator 18a is respectively connected to the control unit 11, the A/D conversion chip 13, the clock chip 12, and The FLASH memory chip 14 is electrically connected. The charging chip 16 is used for managing the charging and discharging condition of the battery 17, and the voltage of the battery 17 is regulated by the first low-dropout linear regulator 18b to supply power to the load cell 20 and the A/D conversion chip 13, and the voltage of the battery 17 is passed through The low-dropout linear regulator 18a is regulated and supplied with the control unit 11, the A/D conversion chip 13, the clock chip 12, and the FLASH memory chip 14, respectively. The above structure can ensure that the smart pad can still work normally in the power-off state.

The above description is only the embodiment of the present application, and thus does not limit the scope of the patent application, and the equivalent structure or equivalent process transformation made by using the specification and the drawings of the present application, or directly or indirectly applied to other related technologies. The fields are all included in the scope of patent protection of this application.

Claims

A physiological information monitoring method, characterized in that the method comprises:

Obtaining the pressure electrical signal of the human body;

Sampling the pressure value by a preset sampling period based on the pressure electrical signal, sampling N pressure values in each preset sampling period, the N being a positive integer greater than 2;

Obtaining a jitter parameter reflecting a jitter condition of the N pressure values according to the N pressure values;

Determining, according to the jitter parameter, a state of the human body in the preset sampling period;

The sleep quality parameter of the human body is obtained according to the state of the human body in each preset sampling period.
The method of monitoring physiological information according to claim 1, wherein the method further comprises:

And obtaining a weight of the human body according to a state of the human body in the preset sampling period and a pressure value in the preset sampling period.
The physiological information monitoring method according to claim 1 or 2, wherein the obtaining the jitter parameter reflecting the jitter condition of the N pressure values according to the N pressure values comprises:

Obtaining a frequency value reflecting a jitter frequency of the N of the pressure values according to the N pressure values;

An amplitude value reflecting the jitter amplitude of the N said pressure values is obtained from the N said pressure values.
The physiological information monitoring method according to claim 3, wherein the obtaining the frequency value of the jitter frequency reflecting the N pressure values according to the N pressure values comprises:

Calculating an absolute value of a difference between the latter pressure value and the previous pressure value among the N pressure values, to obtain N-1 second absolute values;

N-1 said second absolute values are accumulated to obtain a frequency value reflecting the jitter frequency of the N said pressure values.
The physiological information monitoring method according to claim 3, wherein the obtaining the amplitude value of the jitter amplitude reflecting the N pressure values according to the N pressure values comprises:

Obtaining an average of the N said pressure values;

Calculating an absolute value of a difference between each of the pressure values and the average value, obtaining N first absolute values;

Accumulating the N first absolute values to obtain a jitter amplitude reflecting N of the pressure values Amplitude value.
The physiological information monitoring method according to claim 3, wherein the determining the state of the human body in the preset sampling period according to the jitter parameter comprises:

If the frequency value is greater than or equal to the preset frequency value in the preset sampling period, confirm that the human body is in the first state;

If the frequency value is less than the preset frequency value, and the amplitude value is less than the preset amplitude value, confirm that the human body is in the second state;

If the frequency value is less than the preset frequency value, and the amplitude value is greater than or equal to the preset amplitude value, it is confirmed that the human body is in the third state.
The physiological information monitoring method according to claim 6, wherein the obtaining the sleep quality parameter of the human body according to the state of the human body in each preset sampling period comprises:

The durations of the respective predetermined sampling periods in the second state are accumulated to obtain the sleep duration of the human body.
The physiological information monitoring method according to claim 7, wherein the obtaining the sleep quality parameter of the human body according to the state of the human body in each preset sampling period comprises:

In each preset sampling period, if the state of the preset sampling period is the third state, and the previous preset sampling period of the preset sampling period is other than the third state, it is recorded as a body motion, The sum of the number of physical movements is recorded as the number of body movements.
The physiological information monitoring method according to claim 8, wherein the body weight of the human body is obtained according to the state of the human body in the preset sampling period and the pressure value in the preset sampling period, including :

The mean value of the N pressure values in the preset sampling period in the second state is taken as the body weight of the human body.
The physiological information monitoring method according to claim 1 or 2, wherein the pressure value is sampled at a preset sampling period based on the pressure electrical signal, and before the N pressure values are sampled in each preset sampling period The method further includes:

A pressure sample value is obtained based on the pressure electrical signal, and if the pressure sample value is less than the first preset pressure threshold, entering a low power mode of operation.
A physiological information monitoring device, characterized in that the device comprises:

a pressure electric signal acquisition module for acquiring a pressure electric signal of the human body;

a sampling module, configured to sample a pressure value according to the pressure electrical signal by a preset sampling period, and sample N pressure values in each preset sampling period, where N is a positive integer greater than 2;

a jitter parameter obtaining module, configured to obtain, according to the N the pressure values, a jitter parameter that reflects a jitter condition of the N pressure values;

a status confirmation module, configured to determine, according to the jitter parameter, a state of the human body in the preset sampling period;

The sleep quality parameter obtaining module is configured to obtain the sleep quality parameter of the human body according to the state of the human body in each preset sampling period.
A physiological information monitoring device, comprising:

At least one load cell for converting a human body pressure received by the load cell into a pressure electrical signal;

a control unit electrically coupled to the at least one of the load cells for processing the pressure electrical signal, the control unit comprising at least one processor and a memory, the memory being stored for being processable by the at least one The instructions are executed by the at least one processor to enable the at least one processor to perform the method of any of claims 1-10.
A smart mat, comprising:

a pad body, the pad body is configured to carry a human body;

The physiological information monitoring device according to claim 12, wherein the weighing sensor in the physiological information monitoring device is disposed below the pad body.
A non-volatile readable storage medium, wherein the storage medium stores executable instructions that, when executed by a physiological information monitoring device, cause the physiological information monitoring device to perform claim 1 The method of any of the preceding claims.