CN107205705B - Metabolism prediction method and device - Google Patents
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Abstract
A metabolism prediction method and a metabolism prediction device belong to the field of monitoring. Firstly, acquiring a physical sign index (101) of a user; then obtaining an initial metabolic parameter group according to the sign index (102); then acquiring a first drinking amount (103) and a first movement amount (104) of the user; acquiring a first expected urination time (105) according to the first drinking amount, the first motion amount and the initial metabolic parameter group; finally, early warning prompt (106) is sent out in advance according to the first expected urination time. By the metabolism prediction method and the metabolism prediction device, the urination time of the person under guardianship is predicted, and a caretaker can take measures in advance.
Description
Technical Field
The invention relates to the field of monitoring, in particular to a metabolism prediction method and a metabolism prediction device.
Background
The wireless urine wet alarm of the prior art, including the alarm casing, install alarm circuit board and to the alarm battery of alarm circuit board power supply in the alarm casing, the alarm casing is equipped with the urine wet sensor of being connected with alarm circuit board electricity outward, still include the alarm receiver, install the transmission circuit board in the alarm casing, be provided with the receiving circuit board of receiving transmission circuit board transmitting signal in the alarm receiver, install the receiver battery of supplying power to the receiving circuit board and the loudspeaker of receiving circuit board control in the alarm receiver, it hangs the knot to set firmly on the alarm receiver shell. The alarm receiver is also internally provided with a vibration motor controlled by the receiving circuit board. The wireless urine wet alarm has the advantages of reasonable structure, timely alarm, worry saving and labor saving, is beneficial to the healthy growth of the person under guardianship, is suitable for the people who can not take care of the bowels, and is particularly suitable for being used for taking care of infants.
The prior art has the following disadvantages: the alarm gives an alarm only after sensing that the diaper is wet through the urine wet sensor, and the urine time of the person under guardianship cannot be predicted so that a caregiver can take a response in advance.
Disclosure of Invention
The invention provides a metabolism prediction method and a metabolism prediction device, and aims to solve the problem that the urination time of a person under guardianship cannot be predicted in the prior art.
In one aspect, the present invention provides a method for predicting metabolism, the method comprising:
acquiring a physical sign index of a user;
obtaining an initial metabolic parameter group according to the sign index;
acquiring a first water drinking amount of a user;
acquiring a first quantity of motion of a user;
acquiring a first expected urination time according to the first drinking amount, the first movement amount and the initial metabolic parameter group;
and sending out early warning prompt in advance according to the first expected urination time.
In a second aspect, the present invention provides a metabolism prediction apparatus, the apparatus comprising:
the first acquisition module is used for acquiring the physical sign index of the user;
the second acquisition module is used for acquiring an initial metabolic parameter set according to the sign index;
the third acquisition module is used for acquiring the first water drinking amount of the user;
the fourth acquisition module is used for acquiring the first quantity of motion of the user;
the first calculation module is used for acquiring a first expected urination time according to the first drinking amount, the first movement amount and the initial metabolic parameter group;
and the first early warning module is used for sending out early warning prompts in advance according to the first expected urination time.
In the invention, the physical sign index of the user is firstly obtained; then obtaining an initial metabolic parameter group according to the sign index; then acquiring a first drinking amount and a first amount of exercise of the user; acquiring a first expected urination time according to the first drinking amount, the first motion amount and the initial metabolic parameter group; finally, early warning prompts are sent out in advance according to the first expected urination time; therefore, the urine time of the person under guardianship is predicted, and the caretaker can take measures in advance.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a flow chart of a method for predicting metabolism according to an embodiment of the present invention;
FIG. 2 is another flow chart of a method for predicting metabolism according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a metabolism prediction device according to a second embodiment of the present invention;
FIG. 4 is a schematic view of another embodiment of a metabolism prediction device according to the second embodiment of the present invention;
FIG. 5 is a schematic structural diagram of a third obtaining module of the metabolism predicting device according to the second embodiment of the present invention;
fig. 6 is a schematic structural diagram of a fourth obtaining module of the metabolism prediction apparatus according to the second embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
The first embodiment is as follows:
the embodiment of the invention provides a metabolism prediction method, and referring to fig. 1, the metabolism prediction method comprises the following steps:
101. and acquiring the sign index of the user.
In particular implementations, the vital signs index can include height and weight.
102. And acquiring an initial metabolic parameter group according to the sign index.
In a specific implementation, a two-dimensional table may be established first, where the two-dimensional table includes a physical sign index (such as height and weight) and an initial metabolic parameter set corresponding to the physical sign index, and then the initial metabolic parameter set corresponding to the physical sign index is obtained according to the two-dimensional table.
103. A first amount of water to drink from a user is obtained.
In a specific implementation, step 103 may include:
A1. the water pressure in the water cup held by the user is detected through the pressure sensor, and a corresponding pressure signal is output.
B1. And acquiring a first drinking water amount of the user according to the pressure signal.
In specific implementation, the pressure sensor can be arranged at the bottom of the cup, the pressure variation is obtained according to the pressure signal output by the pressure sensor, the variation of the water depth is obtained according to the pressure variation, and the water intake is obtained according to the variation of the water depth.
104. A first amount of motion of a user is acquired.
In a specific implementation, step 104 may include:
A2. the motion acceleration of the user is detected through the acceleration sensor, and a corresponding acceleration signal is output.
B2. A first amount of movement of the user is obtained from the acceleration signal.
The first amount of exercise and the second amount of exercise refer to the amount of heat consumed by the human body during physical activities, and the amount of exercise is determined by the intensity and duration of exercise performed.
In specific implementation, the acceleration of the human body can be obtained according to the acceleration signal, the exercise intensity can be obtained according to the acceleration of the human body, and finally the exercise amount can be obtained according to the exercise intensity and the duration.
105. And acquiring a first expected urination time according to the first drinking amount, the first exercise amount and the initial metabolic parameter group.
In a specific implementation, the initial metabolic parameter group may include a first initial metabolic parameter and a second initial metabolic parameter, and step 105 may specifically be:
the first expected urination time is obtained according to the following equation:
wherein，T1First expected urination time, W1Is the first water drinking amount, y1For the first amount of motion, a1Is a first initial metabolic parameter, b1Is the second initial metabolic parameter.
For example, when the first drinking water amount is 400 ml, the first exercise amount is 200 calories, the first metabolism parameter is 1 ml/calorie, and the second metabolism parameter is 4 ml/min, the first expected urination time can be calculated to be 50 min, that is, the person under guardianship can be expected to urinate after 50 min.
106. And early warning prompt is sent out in advance according to the first expected urination time.
In specific implementation, the early warning prompt can be sent out 5 minutes in advance according to the first expected urination time. For example, when the first expected urination time is 50 minutes, the horn sounds an alarm after 45 minutes.
Optionally, as shown in fig. 2, step 107 to step 112 are further included after step 105.
107. And acquiring a plurality of times of actual urination time input by the user.
108. And acquiring an actual metabolic parameter group according to a plurality of times of actual urination time.
In a specific implementation, the actual metabolic parameter group may include a first actual metabolic parameter and a second actual metabolic parameter, and step 108 may specifically be:
obtaining the actual metabolic parameter group according to the following formula:
wherein t is an actual urination time, W is a water drinking amount corresponding to the actual urination time, y is an exercise amount corresponding to the actual urination time, and a2Is a first actual metabolic parameter, b2Is the second actual metabolic parameter.
109. And acquiring a second drinking amount of the user.
110. A second amount of user motion is acquired.
111. And acquiring a second expected urination time according to the second water intake, the second motion amount and the actual metabolic parameter group.
In a specific implementation, step 111 may specifically be:
obtaining a second expected urination time according to the following equation:
wherein, T2For the second expected urination time, W2Is the second water intake, y2For the second amount of movement, a2Is a first actual metabolic parameter, b2Is the second actual metabolic parameter.
112. And early warning prompt is sent out in advance according to the second expected urination time.
The beneficial effects of steps 107 to 112 are as follows: by acquiring the actual urination time for multiple times and acquiring the actual metabolic parameter group according to the actual urination time for multiple times, the value of the metabolic parameter group according with the actual condition of the user is obtained, and the second expected urination time is calculated more accurately.
The embodiment first obtains the sign index of the user; then obtaining an initial metabolic parameter group according to the sign index; then acquiring a first drinking amount and a first amount of exercise of the user; acquiring a first expected urination time according to the first drinking amount, the first motion amount and the initial metabolic parameter group; finally, early warning prompts are sent out in advance according to the first expected urination time; therefore, the urine time of the person under guardianship is predicted, and the caretaker can take measures in advance.
Example two:
the second embodiment of the present invention provides a metabolism prediction apparatus, as shown in fig. 3, the metabolism prediction apparatus 30 includes a first obtaining module 310, a second obtaining module 320, a third obtaining module 330, a fourth obtaining module 340, a first calculating module 350, and a first warning module 360.
A first obtaining module 310, configured to obtain a sign index of a user.
A second obtaining module 320, configured to obtain an initial set of metabolic parameters according to the sign index.
And a third obtaining module 330, configured to obtain the first drinking water amount of the user.
The fourth obtaining module 340 is configured to obtain the first amount of motion of the user.
The first calculating module 350 is configured to obtain a first expected urination time according to the first drinking water amount, the first exercise amount, and the initial metabolic parameter group.
In a specific implementation, the initial metabolic parameter group may include a first initial metabolic parameter and a second initial metabolic parameter, and the process of obtaining the first expected urination time by the first calculating module according to the first drinking water amount, the first exercise amount, and the initial metabolic parameter group may specifically be:
the first expected urination time is obtained according to the following equation:
wherein, T1First expected urination time, W1Is the first water drinking amount, y1For the first amount of motion, a1Is a first initial metabolic parameter, b1Is the second initial metabolic parameter.
The first early warning module 360 is configured to send an early warning prompt in advance according to the first expected urination time.
Optionally, as shown in fig. 4, the metabolism prediction apparatus 40 further includes a fifth obtaining module 370, a second calculating module 380, a sixth obtaining module 390, a seventh obtaining module 3100, a third calculating module 3110, and a second warning module 3120.
A fifth obtaining module 370, configured to obtain a plurality of actual urination times input by the user.
And a second calculating module 380 for obtaining the actual metabolic parameter set according to the multiple actual urination times.
In a specific implementation, the actual metabolic parameter group may include a first actual metabolic parameter and a second actual metabolic parameter, and the process of obtaining the actual metabolic parameter group by the second calculation module according to the multiple actual urination times specifically is as follows:
obtaining the actual metabolic parameter group according to the following formula:
wherein t is an actual urination time, W is a water drinking amount corresponding to the actual urination time, y is an exercise amount corresponding to the actual urination time, and a2Is a first actual metabolic parameter, b2Is the second actual metabolic parameter.
And a sixth obtaining module 390 for obtaining the second water intake of the user.
A seventh obtaining module 3100 for obtaining a second amount of user motion.
And a third calculating module 3110 for obtaining a second expected urination time according to the second water intake, the second exercise amount and the actual metabolic parameter group.
In a specific implementation, the process of acquiring the second expected urination time by the third calculation module according to the second water intake, the second exercise amount and the actual metabolic parameter group may specifically be:
obtaining a second expected urination time according to the following equation:
wherein, T2For the second expected urination time, W2Is the second water intake, y2For the second amount of movement, a2Is a first actual metabolic parameter, b2Is the second actual metabolic parameter.
And the second early warning module 3120 is used for sending an early warning prompt in advance according to the second expected urination time.
As shown in fig. 5, the third acquiring module 330 includes a first detecting unit 331 and a first acquiring unit 332.
The first detecting unit 331 is configured to detect a water pressure in a water cup held by a user through a pressure sensor, and output a corresponding pressure signal.
A first obtaining unit 332, configured to obtain a first drinking water amount of the user according to the pressure signal.
As shown in fig. 6, the fourth obtaining module 340 includes a second detecting unit 341 and a second obtaining unit 342.
The second detecting unit 341 is configured to detect the motion acceleration of the user through the acceleration sensor, and output a corresponding acceleration signal.
A second obtaining unit 342 for obtaining the first motion amount of the user according to the acceleration signal.
The embodiment first obtains the sign index of the user; then obtaining an initial metabolic parameter group according to the sign index; then acquiring a first drinking amount and a first amount of exercise of the user; acquiring a first expected urination time according to the first drinking amount, the first motion amount and the initial metabolic parameter group; finally, early warning prompts are sent out in advance according to the first expected urination time; therefore, the urine time of the person under guardianship is predicted, and the caretaker can take measures in advance.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (12)
1. A metabolism prediction method, characterized by comprising:
acquiring a physical sign index of a user;
acquiring an initial metabolic parameter group corresponding to the physical sign index according to a pre-stored data table, wherein the data table is used for storing a mapping relation between the physical sign index and the initial metabolic parameter group;
detecting the water pressure in a water cup held by a user through a pressure sensor, and outputting a corresponding pressure signal;
acquiring a first water drinking amount of a user according to the pressure signal;
acquiring a first quantity of motion of a user;
acquiring a first expected urination time according to the first drinking amount, the first movement amount and the initial metabolic parameter group;
and sending out early warning prompt in advance according to the first expected urination time.
2. The metabolism prediction method according to claim 1, wherein the step of acquiring the first amount of exercise of the user is specifically:
detecting the motion acceleration of a user through an acceleration sensor, and outputting a corresponding acceleration signal;
and acquiring a first exercise amount of the user according to the acceleration signal.
3. The metabolism prediction method according to claim 1, wherein the initial metabolism parameter set includes a first initial metabolism parameter and a second initial metabolism parameter, and the step of obtaining the first expected urination time according to the first drinking amount, the first exercise amount, and the initial metabolism parameter set includes:
the first expected urination time is obtained according to the following equation:
wherein, T1Is the first expected urination time, W1Is the first drinking water amount, y1For the first amount of motion, a1Is said first initial metabolic parameter, b1Is the second initial metabolic parameter.
4. The metabolism prediction method of claim 1, wherein the step of obtaining a first expected urination time based on the first amount of water drinking, the first amount of exercise, and the initial set of metabolic parameters further comprises:
acquiring multiple times of actual urination time input by a user;
acquiring an actual metabolic parameter group according to the multiple times of actual urination time;
acquiring a second water intake of the user;
acquiring a second quantity of motion of the user;
acquiring a second expected urination time according to the second water intake, the second motion amount and the actual metabolic parameter group;
and sending out early warning prompt in advance according to the second expected urination time.
5. The metabolism prediction method according to claim 4, wherein the actual metabolic parameter group includes a first actual metabolic parameter and a second actual metabolic parameter, and the step of obtaining the actual metabolic parameter group according to the plurality of actual urination times includes:
obtaining the actual metabolic parameter group according to the following formula:
wherein t is the actual urination time, W is the water intake corresponding to the actual urination time, y is the exercise amount corresponding to the actual urination time, a2Is said first actual metabolic parameter, b2Is the second actual metabolic parameter.
6. The metabolism prediction method of claim 5, wherein the step of obtaining a second expected urination time according to the second water intake, the second exercise amount and the actual metabolism parameter set comprises:
obtaining a second expected urination time according to the following equation:
wherein, T2Is the second expected urination time, W2Is the second water intake, y2For the second amount of motion, a2Is said first actual metabolic parameter, b2Is the second actual metabolic parameter.
7. A metabolism prediction apparatus characterized by comprising:
the first acquisition module is used for acquiring the physical sign index of the user;
the second acquisition module is used for acquiring an initial metabolic parameter group corresponding to the physical sign index according to a pre-stored data table, and the data table is used for storing the mapping relation between the physical sign index and the initial metabolic parameter group;
the third acquisition module is used for detecting the water pressure in the water cup held by the user through the pressure sensor and outputting a corresponding pressure signal;
acquiring a first water drinking amount of a user according to the pressure signal;
the fourth acquisition module is used for acquiring the first quantity of motion of the user;
the first calculation module is used for acquiring a first expected urination time according to the first drinking amount, the first movement amount and the initial metabolic parameter group;
and the first early warning module is used for sending out early warning prompts in advance according to the first expected urination time.
8. The metabolism prediction device of claim 7, wherein the fourth obtaining module includes:
the second detection unit is used for detecting the motion acceleration of the user through the acceleration sensor and outputting a corresponding acceleration signal;
and the second acquisition unit is used for acquiring the first motion quantity of the user according to the acceleration signal.
9. The metabolism prediction device of claim 7, wherein the initial metabolic parameter group includes a first initial metabolic parameter and a second initial metabolic parameter, and the process of the first calculating module obtaining the first expected urination time according to the first drinking amount, the first exercise amount and the initial metabolic parameter group is specifically as follows:
the first expected urination time is obtained according to the following equation:
wherein, T1Is the first expected urination time, W1Is the first drinking water amount, y1For the first amount of motion, a1Is said first initial metabolic parameter, b1Is the second initial metabolic parameter.
10. The metabolism prediction device of claim 7, further comprising:
the fifth acquisition module is used for acquiring multiple times of actual urination time input by the user;
the second calculation module is used for acquiring an actual metabolic parameter group according to the multiple times of actual urination time;
the sixth acquisition module is used for acquiring a second water intake of the user;
a seventh obtaining module, configured to obtain a second amount of motion of the user;
the third calculation module is used for acquiring a second expected urination time according to the second water intake, the second motion amount and the actual metabolic parameter group;
and the second early warning module is used for sending out early warning prompts in advance according to the second expected urination time.
11. The metabolism prediction device of claim 10, wherein the actual metabolic parameter group includes a first actual metabolic parameter and a second actual metabolic parameter, and the process of the second calculation module obtaining the actual metabolic parameter group according to the plurality of actual urination times is specifically:
obtaining the actual metabolic parameter group according to the following formula:
wherein t is the actual urination time, W is the water intake corresponding to the actual urination time, y is the exercise amount corresponding to the actual urination time, a2Is said first actual metabolic parameter, b2Is the second actual metabolic parameter.
12. The metabolism prediction device of claim 11, wherein the process of the third calculation module obtaining the second expected urination time according to the second water intake, the second exercise amount and the actual metabolism parameter set is specifically as follows:
obtaining a second expected urination time according to the following equation:
wherein, T2Is the second expected urination time, W2Is the second water intake, y2For the second amount of motion, a2Is said first actual metabolic parameter, b2Is the second actual metabolic parameter.
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| PCT/CN2015/080252 WO2016191922A1 (en) | 2015-05-29 | 2015-05-29 | Method and apparatus for predicting metabolism |
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| CN107205705B true CN107205705B (en) | 2020-07-24 |
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| CN108573757A (en) * | 2018-04-19 | 2018-09-25 | 四川斐讯信息技术有限公司 | A kind of method and system that nurse is reminded |
| CN112822977A (en) * | 2018-12-24 | 2021-05-18 | 深圳迈瑞生物医疗电子股份有限公司 | Display method of monitoring information and monitoring equipment |
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|---|---|---|---|---|
| WO2009102474A2 (en) * | 2008-02-14 | 2009-08-20 | The University Of Miami | Recursive estimation method and system for predicting residual bladder urine volumes |
| CN103646507A (en) * | 2013-12-18 | 2014-03-19 | 卜亚辉 | Infant nursing intelligent prompting device |
| CN104582652A (en) * | 2012-08-28 | 2015-04-29 | Sca卫生用品公司 | Method and mobile applications using cross-sharing database for monitoring use of hygiene products |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| IL158379A0 (en) * | 2003-10-13 | 2004-05-12 | Volurine Israel Ltd | Non invasive bladder distension monitoring apparatus to prevent enuresis, and method of operation therefor |
| CN102834075A (en) * | 2010-04-08 | 2012-12-19 | 皇家飞利浦电子股份有限公司 | Predicting urination |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2009102474A2 (en) * | 2008-02-14 | 2009-08-20 | The University Of Miami | Recursive estimation method and system for predicting residual bladder urine volumes |
| CN104582652A (en) * | 2012-08-28 | 2015-04-29 | Sca卫生用品公司 | Method and mobile applications using cross-sharing database for monitoring use of hygiene products |
| CN103646507A (en) * | 2013-12-18 | 2014-03-19 | 卜亚辉 | Infant nursing intelligent prompting device |
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