CN114557572A - Physiological characteristic monitoring method for baby and intelligent mattress - Google Patents

Physiological characteristic monitoring method for baby and intelligent mattress Download PDF

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Publication number
CN114557572A
CN114557572A CN202210462691.1A CN202210462691A CN114557572A CN 114557572 A CN114557572 A CN 114557572A CN 202210462691 A CN202210462691 A CN 202210462691A CN 114557572 A CN114557572 A CN 114557572A
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information
pressed
determining
sensor
point value
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Chinese (zh)
Inventor
王炳坤
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De Rucci Healthy Sleep Co Ltd
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De Rucci Healthy Sleep Co Ltd
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Priority to CN202210462691.1A priority Critical patent/CN114557572A/en
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    • AHUMAN NECESSITIES
    • A47FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47CCHAIRS; SOFAS; BEDS
    • A47C31/00Details or accessories for chairs, beds, or the like, not provided for in other groups of this subclass, e.g. upholstery fasteners, mattress protectors, stretching devices for mattress nets
    • A47C31/12Means, e.g. measuring means for adapting chairs, beds or mattresses to the shape or weight of persons
    • A47C31/123Means, e.g. measuring means for adapting chairs, beds or mattresses to the shape or weight of persons for beds or mattresses
    • AHUMAN NECESSITIES
    • A47FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47CCHAIRS; SOFAS; BEDS
    • A47C27/00Spring, stuffed or fluid mattresses or cushions specially adapted for chairs, beds or sofas
    • AHUMAN NECESSITIES
    • A47FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47DFURNITURE SPECIALLY ADAPTED FOR CHILDREN
    • A47D15/00Accessories for children's furniture, e.g. safety belts
    • A47D15/001Mattresses
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/107Measuring physical dimensions, e.g. size of the entire body or parts thereof
    • A61B5/1072Measuring physical dimensions, e.g. size of the entire body or parts thereof measuring distances on the body, e.g. measuring length, height or thickness
    • 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
    • A61B5/74Details of notification to user or communication with user or patient ; user input means
    • A61B5/746Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01GWEIGHING
    • G01G19/00Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
    • G01G19/44Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing persons
    • G01G19/50Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing persons having additional measuring devices, e.g. for height
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2503/00Evaluating a particular growth phase or type of persons or animals
    • A61B2503/04Babies, e.g. for SIDS detection

Abstract

The invention discloses a method for monitoring physiological characteristics of an infant and an intelligent mattress. The physiological characteristic monitoring method of the infant is used for an intelligent mattress, the intelligent mattress comprises a mattress body, and a dot matrix sensor is arranged on the mattress body; the method for monitoring the physiological characteristics of the infant comprises the following steps: acquiring sensor point value information detected by the dot-matrix sensor; determining the sensor points with the sensor point value information larger than a preset threshold value as pressed points; determining point value information of a pressed area based on the point value information of the pressed point; determining pressed region graphic information based on the position information of the pressed point; determining physiological characteristic information based on the pressed area point value information and the pressed area graph information, wherein the physiological characteristic information comprises height information and weight information. Through adopting above-mentioned scheme, realized need not additionally to use other instruments to measure baby's height and weight to can monitor baby's weight and height for a long time the effect.

Description

Physiological characteristic monitoring method for baby and intelligent mattress
Technical Field
The embodiment of the invention relates to the technical field of monitoring methods, in particular to a method for monitoring physiological characteristics of an infant and an intelligent mattress.
Background
At present, an intelligent mattress product does not have a function of monitoring physiological characteristics of an infant for a long time, wherein the physiological characteristics comprise height, weight, respiration rate, body movement and the like. Particularly, the height and the weight of the baby are changed in the growing process of the baby, which is one of the important parameters for judging whether the baby is healthy, so that the growing health condition of the baby can be known. When parents know the height and the weight of an infant, the parents usually need to find two special tools to measure the height and the weight respectively, which is troublesome, single measurement is carried out, no statistical record exists, and good management cannot be formed.
Disclosure of Invention
The invention provides a method for monitoring physiological characteristics of an infant and an intelligent mattress, and aims to solve the problem that the height and the weight cannot be measured and counted by using the same tool.
According to one aspect of the invention, a physiological characteristic monitoring method for an infant is provided, and is used for an intelligent mattress, wherein the intelligent mattress comprises a mattress body, and a dot matrix sensor is arranged on the mattress body; the method for monitoring the physiological characteristics of the infant comprises the following steps:
acquiring sensor point value information detected by the dot-matrix sensor;
determining the sensor points with the sensor point value information larger than a preset threshold value as pressed points;
determining point value information of a pressed area based on the point value information of the pressed point;
determining pressed region graphic information based on the position information of the pressed point;
determining physiological characteristic information based on the pressed area point value information and the pressed area graph information, wherein the physiological characteristic information comprises height information and weight information.
In an optional embodiment of the invention, the determining physiological characteristic information based on the compressed region point value information and the compressed region graph information comprises:
determining a rectangle with the smallest area based on the edge pressed points of the pressed region graphic information, wherein the rectangle surrounds the pressed region graphic information;
and determining height information based on the length information of the long side of the rectangle.
In an optional embodiment of the invention, the determining physiological characteristic information based on the compressed region point value information and the compressed region graph information comprises:
determining pressure area information based on the pressure area graphical information;
determining weight information based on the pressure area information and the pressure region point value information.
In an alternative embodiment of the invention, the lattice sensor comprises a lattice capacitive sensor comprising an intermediate layer; a plurality of first conductors are arranged above the middle layer; a plurality of second conductors opposite to the first conductors are arranged below the middle layer; the first and second opposing conductors forming a capacitive sensor, the intermediate layer being made of a resiliently compressible material; the pressed area point value information comprises pressed area capacitance variation information;
correspondingly, the determining weight information based on the pressure area information and the pressure area point value information comprises:
determining weight information through a weight formula based on the information of the pressed area and the information of the capacitance variation of the pressed area;
formula for body weight:
Figure DEST_PATH_IMAGE001
wherein M is weight information; ε is the relative dielectric constant; g. k is a constant coefficient; s is the information of the pressed area; and C is the capacitance variation information of the pressed area.
In an alternative embodiment of the present invention, further comprising:
acquiring infant age information;
after determining physiological characteristic information based on the point value information of the pressed area and the graphic information of the pressed area, the physiological characteristic information includes height information and weight information, the method further includes:
determining whether the physiological characteristic information exceeds a preset normal range based on the infant age information;
if yes, early warning information is sent out.
In an optional embodiment of the present invention, after determining the physiological characteristic information based on the pressure area point value information and the pressure area graph information, the determining the physiological characteristic information includes height information and weight information, further including:
determining whether the drop value of the weight information in a preset time period is greater than a preset abnormal drop value;
if yes, early warning information is sent out.
In an optional embodiment of the present invention, after determining the physiological characteristic information based on the pressure area point value information and the pressure area graph information, the determining the physiological characteristic information includes height information and weight information, further including:
determining whether the growth value of the height information in a preset time period is smaller than a preset growth value;
if yes, early warning information is sent out.
According to another aspect of the present invention, there is provided a smart mattress comprising:
the mattress comprises a mattress body, wherein a dot matrix sensor is arranged on the mattress body;
at least one processor; and a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform a method of monitoring physiological characteristics of an infant according to any of the embodiments of the present invention.
In an alternative embodiment of the invention, the lattice sensor comprises a lattice capacitive sensor; the lattice type capacitive sensor comprises an intermediate layer;
a plurality of first conductors are arranged above the middle layer;
a plurality of second conductors opposite to the first conductors are arranged below the middle layer;
the first and second opposing conductors form a capacitive sensor;
the intermediate layer is made of a resiliently compressible material.
In an alternative embodiment of the present invention, the lattice capacitive sensor further comprises a top layer and a bottom layer;
a plurality of the first conductors are each disposed on the top layer;
a plurality of the second conductors are each disposed on the bottom layer.
In an alternative embodiment of the invention, the periphery of the bottom layer is larger than the periphery of the top layer.
According to the technical scheme of the embodiment of the invention, the sensor point value information detected by the dot-matrix sensor is obtained firstly; then determining the sensor points of which the sensor point value information is greater than a preset threshold value as pressed points; determining pressed area point value information further based on the point value information of the pressed point; determining the graphic information of the pressed area based on the position information of the pressed point; and finally, determining physiological characteristic information based on the point value information of the pressed area and the graphic information of the pressed area, wherein the physiological characteristic information comprises height information and weight information. Therefore, the height and the weight of the baby can be conveniently measured only by putting the baby on the mattress body when the baby sleeps, and the height and the weight of the baby do not need to be measured by additionally using other tools. Simultaneously, because the baby all need lie on the mattress body when sleeping, so can monitor the weight and the height of baby for a long time, also difficult production baby does not cooperate the difficult measuring condition that causes to appear. The problem of can't measure and make statistics of height and weight with the same kind instrument is solved, realized need not additionally to use other instruments to measure the height and the weight of baby to can monitor the weight and the height of baby for a long time, also be difficult for producing the effect that the difficult measuring condition that the baby did not cooperate and cause appears.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present invention, nor do they necessarily limit the scope of the invention. Other features of the present invention will become apparent from the following description.
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 schematic structural diagram of an intelligent mattress applied to a method for monitoring physiological characteristics of an infant according to an embodiment of the present invention;
fig. 2 is a flowchart of a method for monitoring physiological characteristics of an infant according to an embodiment of the present invention;
FIG. 3 is a flow chart of a step of determining physiological characteristic information based on the pressure region point value information and the pressure region graph information according to an embodiment of the present invention;
FIG. 4 is a schematic view of an infant pressing on a lattice sensor while lying on an intelligent mattress;
FIG. 5 is a schematic diagram of the finding of a rectangle in FIG. 4;
FIG. 6 is a flowchart of another step provided by an embodiment of the present invention for determining physiological characteristic information based on the pressure region point value information and the pressure region graph information;
fig. 7 is a flowchart of a method for monitoring physiological characteristics of an infant according to a second embodiment of the present invention;
fig. 8 is a scene diagram of an intelligent mattress according to a second embodiment of the present invention;
fig. 9 is a schematic structural diagram of a dot matrix capacitive sensor according to a second embodiment of the present invention.
Wherein: 1. a mattress body; 2. a dot-matrix sensor; 21. an intermediate layer; 22. a first conductor; 23. a top layer; 24. a bottom layer.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example one
Fig. 1 is a schematic structural diagram of an intelligent mattress applied to a method for monitoring physiological characteristics of an infant according to an embodiment of the present invention, and fig. 2 is a flowchart of the method for monitoring physiological characteristics of an infant according to an embodiment of the present invention. The intelligent mattress comprises a mattress body 1, and a dot matrix sensor 2 is arranged on the mattress body 1; as shown in fig. 2, the method for monitoring physiological characteristics of an infant comprises:
and S110, acquiring sensor point value information detected by the dot-matrix sensor. The lattice type sensor is a sensor group formed by arranging a plurality of sensors into an array, the position of the sensor is the point position of the sensor, each sensor corresponds to a sensor point in the lattice type sensor, the sensor point value information refers to information reflecting the pressure received by the lattice type sensor, and the infant can lie on the mattress body when sleeping, so that the infant can generate pressure on the lattice type sensor in a contact area, and the area opposite to the infant in the lattice type sensor can receive pressure, so that the sensor point value information is changed. The sensor point value information may vary according to the specific structure of the lattice sensor, for example, in a specific embodiment, the lattice sensor includes a lattice capacitive sensor, so that the sensor point value information includes capacitance variation information.
And S120, determining the sensor points with the sensor point value information being larger than a preset threshold value as pressed points.
The pressure point refers to a sensor point which is pressed by the baby in the dot-matrix sensor. The preset threshold value refers to a value which is greater than the sensor point value information when the lattice type sensor is stressed. Since the sensor point value information changes when the pressure is applied, the sensor point value information larger than the preset threshold value can be determined as the pressure point.
And S130, determining the point value information of the pressed area based on the point value information of the pressed point.
Since the pressure points are the sensor points of the lattice sensor which are pressed by the baby, all the pressure points can form the pressure area of the baby. And the point value information of the pressed area is the dot matrix information of the pressed points in the pressed area. Therefore, the pressed area point value information can be conveniently determined based on the point value information of the pressed point.
And S140, determining the graphic information of the pressed area based on the position information of the pressed point.
The position information of the pressed points is the positions of the pressed points in the whole lattice type sensor, the position information can be preset by carrying out position coding on a plurality of sensors in the lattice type sensor when the sensors leave a factory, and the pressed areas of the baby can be formed by all the pressed points, so that the information of the graph formed by the pressed areas, namely the graph information of the pressed areas can be determined by the position information of the pressed points.
S150, determining physiological characteristic information based on the point value information of the pressed area and the graphic information of the pressed area, wherein the physiological characteristic information comprises height information and weight information.
The change of the point value information of the pressed area depends on the weight of the baby, so that the weight information of the baby can be conveniently determined according to the point value information of the pressed area, meanwhile, the graphic information of the pressed area reflects the body shape of the baby, and the body shape width of a human body is usually smaller than the height, so that the height information of the baby can be conveniently determined according to the graphic information of the pressed area.
According to the scheme, sensor point value information detected by the dot-matrix sensor is obtained firstly; then determining the sensor points of which the sensor point value information is greater than a preset threshold value as pressed points; determining pressed area point value information further based on the point value information of the pressed point; determining the graphic information of the pressed area based on the position information of the pressed point; and finally, determining physiological characteristic information based on the point value information of the pressed area and the graphic information of the pressed area, wherein the physiological characteristic information comprises height information and weight information. Therefore, the height and the weight of the baby can be conveniently measured only by putting the baby on the mattress body when the baby sleeps, and the height and the weight of the baby do not need to be measured by additionally using other tools. Simultaneously, because the baby all need lie on the mattress body when sleeping, so can monitor the weight and the height of baby for a long time, also difficult production baby does not cooperate the difficult measuring condition that causes to appear. The problem of can't measure and make statistics of height and weight with the same kind instrument is solved, realized need not additionally to use other instruments to measure the height and the weight of baby to can monitor the weight and the height of baby for a long time, also be difficult for producing the effect that the difficult measuring condition that the baby did not cooperate and cause appears.
In an alternative embodiment of the present invention, as shown in fig. 3, the determining physiological characteristic information based on the pressure region point value information and the pressure region graph information at S150 includes:
and S151, determining a rectangle with the smallest area based on the edge pressed points of the pressed region graphic information, wherein the rectangle surrounds the pressed region graphic information.
And S152, determining height information based on the length information of the long side of the rectangle.
As shown in fig. 4, when an infant lies on the intelligent mattress, the infant presses the lattice type sensor, the sensor points at the pressed position are pressed points, the point value information of the pressed points changes, and the pressed area of the infant can be formed by all the pressed points, so that the information of the graph formed by the pressed area, namely the graph information of the pressed area, can be determined according to the position information of the pressed points.
As shown in fig. 4 and 5, a rectangle is used as a model of the body of the infant, the length of the rectangle is the height value of the infant, a rectangle is found by a mathematical method, the graphic information of the pressed area formed by the pressed points is placed in the rectangle, namely, the rectangle surrounds the graphic information of the pressed area, so that the area of the rectangle is the minimum, and then a rectangle map of the body model of the infant is found, wherein the edge pressed points are the pressed points related to the long sides or the wide sides of the rectangle.
As shown in fig. 5, the following describes a specific manner of measurement in a specific embodiment:
the height of the baby is the length of the AB (or CD) line segment, and the edge compression points are the compression points involved in the AB, AD, BC and CD line segments. Through coordinates of two points A and B: a (x1, y1) and B (x2, y2), the AB segment length h is determined:
Figure 869972DEST_PATH_IMAGE002
the width of the rectangle is the length w of the AD (or BC) line segment, the coordinates of the D point: d (x4, y 4):
Figure 226873DEST_PATH_IMAGE003
constraint condition, rectangle area reaches minimum:
Figure 887661DEST_PATH_IMAGE004
in summary, a rectangle having the smallest area is determined based on the edge pressed point of the pressed region figure information, the rectangle surrounds the pressed region figure information, and then the height information can be determined based on the length information of the long side of the rectangle.
In an alternative embodiment of the present invention, as shown in fig. 6, the determining physiological characteristic information based on the pressure region point value information and the pressure region graph information at S150 includes:
and S153, determining the pressure receiving area information based on the pressure receiving area graph information. Wherein the pressed area information indicates an area of the pressed area graphic information.
And S154, determining weight information based on the pressure area information and the pressure area point value information.
Wherein since the weight and body type of the infant may affect the pressure receiving area information and the pressure receiving area point value information, the weight information can be determined from the pressure receiving area information and the pressure receiving area point value information.
Illustratively, the lattice sensor comprises a lattice capacitive sensor comprising an intermediate layer; a plurality of first conductors are arranged above the middle layer; a plurality of second conductors opposite to the first conductors are arranged below the middle layer; the first and second opposing conductors form a capacitive sensor, and the intermediate layer is made of a resiliently compressible material.
The pressed region point value information includes pressed region capacitance variation information. The information of the capacitance variation in the pressure receiving area is the capacitance variation of the capacitance sensor in the pressure receiving area.
Correspondingly, the determining weight information based on the pressure area information and the pressure area point value information comprises:
and determining weight information through a weight formula based on the information of the pressure area and the information of the capacitance variation of the pressure area.
The weight formula is as follows:
Figure 780662DEST_PATH_IMAGE005
wherein M is weight information; ε is the relative dielectric constant; g. k is a constant coefficient; s is the information of the pressed area; and C is the capacitance variation information of the pressed area.
Wherein, baby's health lies in intelligent mattress, and its weight makes the intermediate level of the elastic compressible material compression certain distance d, and the produced gravity G of weight is balanced with elastic supporting force F:
Figure 134283DEST_PATH_IMAGE006
,
Figure DEST_PATH_IMAGE007
wherein g and k are constant coefficients; and since the material is compressed by a certain distance d, that is, the parallel plate pitch of the parallel plate capacitor having the size of the human-shaped figure of a baby decreases (that is, the pitch between the first conductor and the second conductor decreases), the decrease is also d, and the capacitance variation information of the pressed region:
Figure 463633DEST_PATH_IMAGE008
epsilon is relative dielectric constant, S is the area with the human figure of the baby (namely the information of the pressed area); the final infant body weight can be expressed as:
Figure DEST_PATH_IMAGE009
the baby weight M can be calculated by measuring the capacitance variation information C of the pressed area of the capacitance sensor and the pressed area information S of all sensor points (namely pressed points) generating capacitance variation and substituting the measured capacitance variation information C and the pressed area information S into the formula.
Example two
Fig. 7 is a flowchart of a method for monitoring physiological characteristics of an infant according to a second embodiment of the present invention, which is improved based on the first embodiment; as shown in fig. 7, the method for monitoring physiological characteristics of an infant comprises:
and S200, acquiring the sensor point value information detected by the dot-matrix sensor.
S210, determining the sensor points with the sensor point value information being larger than a preset threshold value as pressed points.
And S220, determining the point value information of the pressed area based on the point value information of the pressed point.
And S230, determining the graphic information of the pressed area based on the position information of the pressed point.
S240, determining physiological characteristic information based on the point value information of the pressed area and the graph information of the pressed area, wherein the physiological characteristic information comprises height information and weight information.
And S250, acquiring the age information of the infant.
The way of acquiring the infant age information is various, for example, parents input the age of the infant at the current time before measurement, that is, the infant age information, parents input the infant age at the time of initial use, and the current age information of the infant is determined by accumulating the time difference from the time of initial use to the time of current use.
In addition, the execution sequence of step S250 may be various, and may be before or after any of S200, S210, S220, S230, and S240, as long as it is satisfied before S260.
S260, determining whether the physiological characteristic information exceeds a preset normal range or not based on the infant age information.
If so, go to S290, otherwise, go to S260.
The physiological characteristic information of the infants in different age periods has different range values, such as height and weight information, the range values of the heights and the weights of the infants in different months are different, and the preset normal range refers to a range which the physiological characteristic of the infant should meet under the current age information. Whether the physiological characteristic information exceeds the preset normal range or not is determined based on the infant age information, and meanwhile, early warning information is sent out when the physiological characteristic information exceeds the preset normal range, so that young beginner parents can be helped to know whether the relation between height and weight is abnormal or not in the infant growth process in time, early warning is given to abnormal conditions, and the young beginner parents are prompted.
And S270, determining whether the decline value of the weight information in a preset time period is larger than a preset abnormal decline value.
The weight of the baby is reduced only by extremely small fluctuation due to the fact that the baby is required to be under the condition that the weight of the baby is continuously increased under the normal condition, and when the reduction value of the weight information is larger than the preset abnormal reduction value, the weight of the baby is abnormal, and at the moment, an early warning is sent to prompt parents to enable the parents to timely handle the abnormal weight condition of the baby.
S280, determining whether the growth value of the height information in a preset time period is smaller than a preset growth value.
Wherein, for the baby, the height of baby should be in the state of incessantly increasing, when the increase of baby's height information in the predetermined time quantum is less than the predetermined increase value, explains that the height of baby probably has appeared the unusual situation that the stagnation does not increase, sends out early warning suggestion father and mother this moment to father and mother in time handles the height unusual situation of baby.
And S290, sending out early warning information.
The method for sending the warning information includes various ways, for example, the intelligent mattress has a special APP, and pushes a message to the intelligent device of the parent on the APP, or directly sends a short message to the intelligent device of the parent, and the like, and is not limited specifically here.
In an optional embodiment of the present invention, after determining the physiological characteristic information based on the information of the pressure area, the determining the physiological characteristic information includes height information and weight information, further includes:
and forming a physiological characteristic record map based on the physiological characteristic information at different moments.
The physiological characteristic recording diagram can be a curve diagram, and parents can conveniently track the growth condition of the infant for a long time by forming the physiological characteristic recording diagram.
EXAMPLE III
Fig. 1 is a schematic structural diagram of an intelligent mattress provided by a third embodiment of the present invention. As shown in fig. 1, the smart mattress includes:
the mattress comprises a mattress body 1, and a dot matrix sensor 2 is arranged on the mattress body 1.
At least one processor; and a memory communicatively coupled to the at least one processor.
The memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of monitoring physiological characteristics of an infant according to any of the embodiments of the present invention.
The memory stores therein a computer program executable by the at least one processor, such as Read Only Memory (ROM), Random Access Memory (RAM), and the like.
The processor may perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM) or a computer program loaded from a storage unit into a Random Access Memory (RAM). In the RAM, various programs and data required for the operation of the smart mattress may also be stored. The processor, the ROM, and the RAM are connected to each other through a bus. The processor may be a variety of general and/or special purpose processing components with processing and computing capabilities. Some examples of processors include, but are not limited to, Central Processing Units (CPUs), Graphics Processing Units (GPUs), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, Digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, or the like. The processor performs the various methods and processes described above, such as a physiological characteristic monitoring method for an infant.
In some embodiments, the physiological characteristic monitoring method of an infant may be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as a memory unit. In some embodiments, part or all of the computer program may be loaded and/or installed on the smart mattress via ROM and/or the communication unit. When the computer program is loaded into RAM and executed by the processor, one or more steps of the method for monitoring physiological characteristics of an infant described above may be performed. Alternatively, in other embodiments, the processor may be configured to perform the physiological characteristic monitoring method of the infant by any other suitable means (e.g., by means of firmware).
In a specific application scenario of the present invention, as shown in fig. 8, the processor and the memory may be integrated in the signal acquisition hardware, and the smart device of the parent internally loads an APP capable of wirelessly communicating with the signal acquisition hardware, so that the parent can view physiological characteristics of the infant monitored by the smart mattress at any time through the smart device.
In an alternative embodiment of the invention, the lattice sensor 2 comprises a lattice capacitive sensor. The lattice type capacitive sensor is a lattice composed of a plurality of capacitive sensors.
On the basis of the above embodiment, as shown in fig. 9, the lattice-type capacitive sensor includes the intermediate layer 21; a plurality of first conductors 22 are provided above the intermediate layer 21; a plurality of second conductors (not shown in the figure) opposed to the first conductors 22 are provided below the intermediate layer 21; the opposing first and second conductors 22 and 22 form a capacitive sensor; the intermediate layer 21 is made of a resiliently compressible material.
The first conductor 22 and the second conductor are opposite to each other, so that the first conductor 22 and the second conductor can form a plurality of capacitive sensors, i.e., a dot-matrix capacitive sensor, and the effective area of the capacitor is the area of the first conductor 22. The shape of the first conductor 22 and the second conductor can be various, and in one particular embodiment, the shape of the first conductor 22 and the second conductor are both square. Meanwhile, as the middle layer 21 is made of elastic compressible material, the body of the infant lies on the intelligent mattress, the weight of the infant compresses the middle layer 21 made of elastic compressible material for a certain distance d, and the gravity G generated by the weight is balanced with the elastic supporting force F:
Figure 979977DEST_PATH_IMAGE010
,
Figure DEST_PATH_IMAGE011
wherein g and k are constant coefficients; and since the material is compressed by a certain distance d, that is, the parallel plate pitch of the parallel plate capacitor having the size of the human-shaped figure of the baby is reduced (that is, the pitch between the first conductor and the second conductor is reduced), the reduction is d, and the capacitance variation information of the pressed area:
Figure 711173DEST_PATH_IMAGE012
ε is the relative dielectricConstant, S is the area with the human-shaped figure of the baby (namely the information of the pressed area); the final infant's body weight can be expressed as:
Figure 986427DEST_PATH_IMAGE013
the baby weight M can be calculated by measuring the capacitance variation information C of the pressed area of the capacitance sensor and the pressed area information S of all sensor points (namely pressed points) generating capacitance variation and substituting the measured capacitance variation information C and the pressed area information S into the formula.
Further, the first conductors 22 and the second conductors may be opposed to each other, or a plurality of first conductors 22 may be opposed to a single second conductor, or one first conductor 22 may be opposed to a plurality of second conductors. In one specific embodiment, the second conductor is a bar, a plurality of second conductors are arranged at intervals along the length direction, and a plurality of first conductors 22 are arranged on a single second conductor along the width direction. The length direction refers to a direction in which the length of the mattress body 1 is longer, that is, the height direction of a human body sleeping on the mattress body 1, and the width direction refers to a direction perpendicular to the length direction.
In an alternative embodiment of the invention, the lattice capacitive sensor further comprises a top layer 23 and a bottom layer 24; a plurality of first conductors 22 are each disposed on the top layer 23; a plurality of second conductors are each disposed on the bottom layer 24.
Wherein by disposing a plurality of first conductors 22 each on the top layer 23; a plurality of second conductors all set up on bottom 24, add man-hour accessible printing conducting material or paste realization such as conductor cloth mode, and this dot-matrix capacitive sensor's processing is comparatively convenient.
In an alternative embodiment of the invention, the periphery of the bottom layer 24 is larger than the periphery of the top layer 23.
Wherein the first conductors 22 may not all be compressed against the bottom layer 24 under pressure, there may be some bias, and if the area of the bottom layer 24 is as large as the area of the top layer 23, the effective area of the capacitive model is reduced to be smaller than the area of the first conductors 22 of the top layer 23. The periphery of the bottom layer 24 is larger to avoid the situation, so that the effective area of the capacitor model is ensured to be the area of the first conductor 22 of the top layer 23, and the detection precision is improved.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments illustrated herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims (11)

1. A physiological characteristic monitoring method of an infant is used for an intelligent mattress, wherein the intelligent mattress comprises a mattress body, and a dot matrix sensor is arranged on the mattress body; the method for monitoring the physiological characteristics of the infant is characterized by comprising the following steps:
acquiring sensor point value information detected by the dot-matrix sensor;
determining the sensor points with the sensor point value information larger than a preset threshold value as pressed points;
determining point value information of a pressed area based on the point value information of the pressed point;
determining pressed region graphic information based on the position information of the pressed point;
determining physiological characteristic information based on the pressed area point value information and the pressed area graph information, wherein the physiological characteristic information comprises height information and weight information.
2. A method of monitoring physiological characteristics of an infant according to claim 1, wherein said determining physiological characteristic information based on said pressure region point value information and said pressure region graphical information comprises:
determining a rectangle with the smallest area based on the edge pressed points of the pressed region graphic information, wherein the rectangle surrounds the pressed region graphic information;
and determining height information based on the length information of the long side of the rectangle.
3. A method of monitoring physiological characteristics of an infant according to claim 1, wherein said determining physiological characteristic information based on said pressure region point value information and said pressure region graphical information comprises:
determining pressure area information based on the pressure area graphical information;
determining weight information based on the pressure area information and the pressure region point value information.
4. A method of monitoring physiological characteristics of an infant as claimed in claim 3, wherein the lattice sensor comprises a lattice capacitive sensor comprising an intermediate layer; a plurality of first conductors are arranged above the middle layer; a plurality of second conductors opposite to the first conductors are arranged below the middle layer; the first and second opposing conductors forming a capacitive sensor, the intermediate layer being made of a resiliently compressible material; the information of the point values of the pressed regions comprises information of capacitance variation of the pressed regions;
correspondingly, the determining weight information based on the pressure area information and the pressure area point value information comprises:
determining weight information through a weight formula based on the information of the pressed area and the information of the capacitance variation of the pressed area;
formula for body weight:
Figure 523815DEST_PATH_IMAGE001
wherein M is weight information; ε is the relative dielectric constant; g. k is a constant coefficient; s is the information of the pressed area; and C is the capacitance variation information of the pressed area.
5. A method of monitoring physiological characteristics of an infant according to any one of claims 1 to 4, further comprising:
acquiring infant age information;
after determining physiological characteristic information based on the point value information of the pressed area and the graphic information of the pressed area, the physiological characteristic information includes height information and weight information, the method further includes:
determining whether the physiological characteristic information exceeds a preset normal range based on the infant age information;
if yes, early warning information is sent out.
6. A method for monitoring physiological characteristics of an infant according to any one of claims 1 to 4, wherein said determining physiological characteristic information based on said pressure area point value information and said pressure area graph information, said physiological characteristic information including height information and weight information, further comprises:
determining whether the drop value of the weight information in a preset time period is greater than a preset abnormal drop value;
if yes, early warning information is sent out.
7. A method for monitoring physiological characteristics of an infant according to any one of claims 1 to 4, wherein said determining physiological characteristic information based on said pressure area point value information and said pressure area graph information, said physiological characteristic information including height information and weight information, further comprises:
determining whether the growth value of the height information in a preset time period is smaller than a preset growth value;
if yes, early warning information is sent out.
8. An intelligent mattress, its characterized in that: the method comprises the following steps:
the mattress comprises a mattress body (1), wherein a dot matrix sensor (2) is arranged on the mattress body (1);
at least one processor; and a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of monitoring physiological characteristics of an infant of any one of claims 1-8.
9. The smart mattress of claim 8, wherein the lattice sensor (2) comprises a lattice capacitive sensor; the lattice capacitive sensor comprises an intermediate layer (21);
a plurality of first conductors (22) are arranged above the middle layer (21);
a plurality of second conductors opposite to the first conductors (22) are arranged below the intermediate layer (21);
the first and second opposing conductors (22, 22) forming a capacitive sensor;
the intermediate layer (21) is made of an elastically compressible material.
10. The smart mattress of claim 9, wherein the lattice capacitive sensor further comprises a top layer (23) and a bottom layer (24);
a plurality of said first conductors (22) each being arranged on said top layer (23);
a plurality of the second conductors are each disposed on the bottom layer (24).
11. Smart mattress according to claim 10, characterized in that the bottom layer (24) has a periphery that is greater than the periphery of the top layer (23).
CN202210462691.1A 2022-04-29 2022-04-29 Physiological characteristic monitoring method for baby and intelligent mattress Pending CN114557572A (en)

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