JP2021531836A - Infant condition judgment method and device for unit pressure sensor base - Google Patents

Abstract

The present invention relates to a technique for determining the state of an infant lying on a unit pressure sensor board.

Description

Hereinafter, techniques relating to a method for determining the state of an infant lying on a unit pressure sensor board will be provided.

Sudden Infant Death Syndrome (SIDS) refers to the unexpected sudden death of an infant under the age of one, most of which occurs in 2 to 4 months. Causes of death after investigation of death cases are mainly diagnosed as asphyxiation, tightness, cardiac arrhythmia, injury or sudden infant death (SIDS).

Death from bed accidental choking and strangling is associated with sleep and is a form of unexpected sudden infant death. Sudden infant death is often caused by airway obstruction (suffocation) caused by an inappropriate sleeping environment.

In order to prevent sudden infant death due to choking in the bed, the baby must be provided with a safe sleeping environment. A safe sleeping environment for your baby begins with lying on your back. It is dangerous to lay the baby on his stomach or lie on his side. In order to lie straight, parents must periodically check the baby's sleep status.

Conventionally, as a device for determining an infant's condition, there is a camera-type device that monitors the condition of an infant using a camera. Camera-type devices are relatively unreasonable in terms of price, and have the aspect that they can only judge whether or not they move, and cannot judge specific movements. In addition, the conventional clip-type device for monitoring sleep patterns has a disadvantage that its size is too large to be placed on the abdomen of an infant.

Republic of Korea Patent Registration Gazette No. 10-17606616 (Registration date: July 17, 2017)
Republic of Korea Patent Registration Gazette No. 10-16878784 (Registration date: November 16, 2016)

A method of determining the state of an infant lying down using pressure information by a processor according to an embodiment, wherein a plurality of unit pressure sensors included in the mat device are added to the mat device by the infant. Respiratory waveform information and heart rate waveform information in the frequency band that are distinguished from each other by using a frequency band filter from the pressure data waveforms detected by the plurality of unit pressure sensors during a certain period of time and the step of detecting the pressure to be applied. Based on the steps to be extracted and the table created based on the age information of the infant, the pressure-based risk level indicated by the pressure data, the respiratory-based risk level indicated by the respiratory waveform information, and the heartbeat waveform information are obtained. The condition of the lying infant is determined by a combination of one or more of the pressure-based danger level, the respiratory-based danger level, and the heartbeat-based danger level, and the step of determining the indicated heartbeat-based danger level. You can judge.

According to one embodiment, the step of extracting from the respiratory waveform information and the heartbeat waveform information can include a step of extracting waveform information about a specific frequency from the waveform of the pressure data using a frequency band filter.

Further, the step of determining the infant's condition is distinguished from the step of determining the infant's condition according to the duration of the pressure-based danger level and the respiratory-based danger level and the step of determining the infant's condition according to the determined infant's condition. It can include steps to provide alarm information.

According to another embodiment, a step of determining the pressure detection pattern of the plurality of unit pressure sensors and a step of determining the state of the infant based on the pressure detection pattern can be included.

The infant state determination method according to one aspect includes a step of determining whether or not the unit pressure sensor in a certain range in the mat device detects pressure by the infant, and the pressure is detected by the infant within the fixed range. If it is determined that the pressure is not detected by the infant within the certain range, a step of determining the pressure detection pattern of the plurality of unit pressure sensors and a step of providing a warning alarm to the user are provided. Can include.

The infant state determination method according to one embodiment can include a step of determining the pressure detection pattern of the plurality of unit pressure sensors and a step of determining the infant state based on the pressure detection pattern.

According to one embodiment, it is determined that the unit pressure sensor in a certain range in the mat device determines whether or not the pressure by the infant is detected, and the pressure is detected by the infant within the certain range. In this case, the step of determining the pressure detection pattern of the plurality of unit pressure sensors and the step of providing a warning alarm to the user when it is determined that the pressure is not detected by the infant within the certain range can be included. ..

Further, the step of determining the pressure detection pattern of the infant state determination method is a step of determining that the pressure is detected by the unit pressure sensor when the unit pressure sensor detects a pressure exceeding the magnitude of the critical pressure. Can be included.

According to one embodiment, the step of determining the pressure detection pattern is based on the step of determining the number of unit pressure sensors for which pressure is detected among the plurality of unit pressure sensors and the change in the number of the unit pressure sensors. The step of determining the pressure detection pattern can be included.

The step of determining the infant state of the infant state determination method according to one embodiment includes a step of determining that the infant is in a stable state when the number of unit pressure sensors in which the pressure is detected is equal to or greater than the threshold value. If the number of unit pressure sensors in which the pressure is detected changes from the case where the pressure is equal to or greater than the threshold value to the case where the pressure is less than the threshold value, the step of determining that the infant is in the positioning state can be included.

Further, the step of determining the infant state is a step of determining that the infant is in a stable state when the number of unit pressure sensors in which the pressure is detected is equal to or more than the threshold value, and a unit pressure in which the pressure is detected. When the number of sensors changes from the case where the number of sensors is equal to or greater than the threshold value to the case where the number of sensors is less than the threshold value and changes when the number of sensors is equal to or greater than the threshold value again, the step of determining that the infant is in a prone state can be included.

According to another embodiment, in the step of determining the infant state, when it is determined that the rate of change in the number of unit pressure sensors for which the pressure is detected is equal to or greater than the threshold change rate, the infant is in a state of moving his / her body. It can include steps to determine that there is.

The step of extracting from the breathing waveform information and the heartbeat waveform information of the infant state determination method according to one aspect includes the step of calculating the average pressure value of the pressure data detected by the plurality of unit pressure sensors and the fixed time period. Can include a step of analyzing the waveform of the pressure data based on the change in the average pressure value.

It is a flowchart which shows the infant state determination method which concerns on one Embodiment. The data generated by the pressure value detected by the plurality of unit pressure sensors which concerns on one Embodiment is shown. An embodiment shows a method of extracting respiratory waveform information and heartbeat waveform information as waveform information of pressure data. (1) A reference table for classifying danger levels according to an embodiment is shown. A plurality of unit pressure sensors according to an embodiment are shown in which some sensors are detected. A screen for outputting the state of an infant according to an embodiment is shown. A system for providing an infant condition according to an embodiment is shown. It is a block diagram which shows the apparatus which determines the infant state which concerns on one Embodiment. A system for providing a plurality of infant states according to an embodiment is shown.

The particular structural or functional description disclosed herein is exemplified solely for the purpose of illustrating embodiments, which can be implemented in a variety of different forms. Accordingly, embodiments are not limited to any particular disclosure, and the scope of this specification includes variations, equivalents, or alternatives contained in the technical ideas.

Terms such as first or second may be used to describe multiple components, but such terms should be construed only for the purpose of distinguishing one component from the other. For example, the first component can be named the second component, and similarly the second component can be named the first component as well.

When it is mentioned that one component is "connected" to another component, it is either directly connected to or connected to the other component, but there is another component in between. It must be understood as possible.

A singular expression includes multiple expressions unless they have a distinctly different meaning in context. In the present specification, terms such as "include" or "have" indicate that the features, numbers, steps, operations, components, parts or combinations thereof described above exist. It must be understood as not prescribing the possibility of existence or addition of one or more other features or numbers, steps, actions, components, parts, or combinations thereof.

Includes technical or scientific terms unless defined differently. All terms used herein have the same meanings as those commonly understood by those with ordinary knowledge in the art to which this embodiment belongs. Commonly used predefined terms should be construed to have meanings consistent with those in the context of the relevant art, ideally or excessively unless expressly defined herein. It is not interpreted as a formal meaning. Hereinafter, the description will be described in detail with reference to the drawings to which the embodiments are attached. In the description with reference to the accompanying drawings, the same components will have the same reference numerals regardless of the drawing reference numerals, and duplicate description thereof will be omitted.

FIG. 1 is a flowchart showing an infant state determination method according to an embodiment.
According to the infant state determination method according to the embodiment, in step 110, a plurality of unit pressure sensors included in the mat device detect the pressure applied to the mat device by the infant. The mat device includes a plurality of unit pressure sensors, and the unit pressure sensor acquires pressure data by switching the magnitude of pressure to an electric signal by a piezo method. That is, the unit pressure sensor can detect the magnitude of pressure by using the piezoelectric effect in which dielectric polarization is generated in response to a mechanical change. The processor generates a waveform of the pressure data using the pressure data including the magnitude of the pressure detected by the unit pressure sensor.

According to one embodiment, the processor calculates the average pressure value of the pressure data detected by a plurality of unit pressure sensors, determines the average pressure value as the magnitude of the pressure detected by the infant, and the pressure data based on the average pressure value. Can generate the waveform of.

In step 120, the processor uses a frequency band filter to distinguish between the respiratory waveform information and the heartbeat waveform information in the frequency band from the waveform (waveform) of the pressure data detected by the plurality of unit pressure sensors in a certain period of time. And extract. The processor continuously detects the magnitude of pressure over a fixed period of time and generates this as a waveform of pressure data with the passage of time. The processor extracts the respiratory waveform information and the heartbeat waveform information based on the waveform of the generated pressure data. The respiratory waveform information and the heartbeat waveform information include frequency information extracted within a band of a certain frequency and an amplitude value at the frequency, respectively, and the extraction of the respiratory waveform information and the heartbeat waveform information is described in detail with reference to FIG. explain.

In step 130, the processor is instructed by the pressure-based risk level indicated by the pressure data, the respiratory-based risk level indicated by the respiratory waveform information, and the heart rate waveform information based on the table created based on the age information of the infant. Determine the heart rate base risk level. The table created based on the infant age information is a table created based on the normal breathing and heart rate values for each infant age. Illustratively, in the case of heartbeats, infants under 12 months may be pre-designated to have a normal value of 80-170 times per minute, and the values indicated by the heartbeats of infants under 12 months on the table. The lower limit normal threshold value may be 80 times, and the upper limit normal threshold value may be 170 times. According to one embodiment, the processor calculates the infant's age from the difference between the infant's date of birth initially entered by the user and the time when the infant's condition is determined, and is dangerous based on the numerical value corresponding to the infant's age in the table. You can determine the level. Danger levels are divided into "warning", "danger", and "emergency" levels based on the "normal" level. Determining the risk level indicated by each of the pressure data, the respiratory waveform information, and the heartbeat waveform information will be described in detail with reference to FIG.

In step 140, the processor determines the condition of the lying infant by one or a combination of pressure-based danger levels, respiratory-based danger levels, and heart-rate-based danger levels. According to one embodiment, the processor determines the infant status on the basis of the pressure-based risk level and the respiratory-based risk level dependent on the duration, and independently of this, the infant status based on the heart rate-based risk level. You may. For example, the mat device outputs to the user that the infant is in danger, both when the heartbeat is in danger, apart from when the pressure and breathing are in danger for more than a certain duration. It is possible to provide condition information more accurately than when providing an infant condition based on one of the two.

According to one embodiment, the processor can determine the pressure detection pattern of the plurality of unit pressure sensors and determine the infant state based on the pressure detection pattern. The pressure detection pattern is a pattern generated based on the organic relationship of the unit pressure sensor in which the pressure is detected after determining whether or not each unit pressure sensor detects the pressure among the plurality of unit pressure sensors. Is. A method of determining the infant condition based on the pressure detection pattern will be described in detail with reference to FIG.

Conventionally, an infant condition determination device for determining the respiratory and heartbeat states of an infant using a gyro sensor or the like has been used. The gyro sensor was attached to the baby's body or hung around the neck to detect the baby's body data. In this case, the gyro sensor applied pressure to the baby's epigastrium, and the baby was suffocated by the auxiliary mechanism. In contrast, according to the embodiment shown in FIG. 1, the case where the sensor exerts pressure directly on the infant is reduced, and the processor can recognize the infant's rolling over by using the highly accurate unit pressure sensor. It is possible to safely check the infant's breathing and heartbeat status.

FIG. 2 shows data generated by pressure values detected by a plurality of unit pressure sensors according to an embodiment.

In step 210, the plurality of unit pressure sensors detect the pressure applied by the infant. The information regarding the pressure may be the magnitude of the pressure and the number of unit pressure sensors in which the pressure is detected.

In step 220, the processor calculates the waveform information of the pressure data by time based on the pressure data detected by the plurality of unit pressure sensors during a certain period of time, and stores the calculation result in the memory at least temporarily. In step 230, the processor stores the pressure data detected by the unit pressure sensor in memory at least temporarily. The pressure data may include the magnitude of the pressure acquired by the unit pressure sensor, or may be data for determining the pressure base hazard level. In step 240, the processor can calculate the number of unit pressure sensors for which pressure has been detected and store it in memory at least temporarily.

In step 250, the processor extracts the respiratory waveform information and the heartbeat waveform information based on the waveform information of the pressure data. The respiratory waveform information and the heartbeat waveform information may include frequency information in frequency bands that are distinguished from each other, and may be data for determining a respiratory basis risk level and a heartbeat basis risk level, respectively.

In step 260, the processor determines the pressure detection pattern based on the number of unit pressure sensors for which pressure has been detected. The pressure detection pattern may be a pattern in which the number of detected unit pressure sensors changes with time. Illustratively, when the number of detected unit pressure sensors decreases, the processor is a mat for infants. It is judged that the part that applies pressure to the CPU has decreased. The pressure detection pattern may be data for determining a state due to a change in the posture of an infant.

FIG. 3 shows a method of extracting respiratory waveform information and heartbeat waveform information from the waveform 310 of pressure data according to one embodiment.

The processor acquires a waveform 310 of irregular pressure data whose amplitude and frequency are not constant, based on the pressure data detected during a certain period of time. The pressure detected by the plurality of unit pressure sensors may be data in which information that changes with time depending on the respiration and heartbeat of the infant is combined.

The processor uses a frequency band filter to extract respiratory waveform information 320 and heartbeat waveform information 330 in frequency bands that are distinguished from each other. Illustratively, a processor extracts a waveform 310 of irregular pressure data from waveform information about a plurality of specific frequencies based on a Fourier transform. After that, the processor extracts information on the frequency having the largest amplitude value from the respiratory waveform information 320 and the heartbeat waveform information 330 among the frequencies extracted in the frequency band related to the respiratory waveform information 320 and the heartbeat waveform information 330. For example, the number of breaths per minute is 10 or more and less than 70, the frequency band pair for extracting the breathing waveform information 320 of the infant is set to 0.167 Hz or more and less than 1.167 Hz, and the heart rate per minute is set. The frequency band pair for extracting the heartbeat waveform information 330 of the infant may be set to 1.167 Hz or more and less than 3 Hz, which is 70 times or more and less than 180 times. The processor can extract the frequency having the largest amplitude value among the frequencies of the frequency band distinguished based on the frequency band filter. Illustratively, if the processor determines that the amplitude of the waveform corresponding to the 0.33 Hz frequency is the largest of the frequencies within the frequency band pair of 0.167 Hz or more and less than 1.167 Hz, the frequency and minute of 0.33 Hz. The number of breaths per 20 times can be extracted as the breathing waveform information 320.

According to one embodiment, the waveform 310 of the pressure data can be classified into the respiratory waveform information 320 and the heartbeat waveform information 330 based on the amplitude range that distinguishes them from each other. Depending on the infant's breathing, the magnitude of the pressure applied to the mat device and the magnitude of the pressure applied to the mat device may differ depending on the heartbeat. Therefore, the magnitudes of the amplitudes of the respiratory waveform information 320 and the heartbeat waveform information 330 are different from each other. Distinguished. Therefore, the processor can determine the respiratory waveform information 320 and the heartbeat waveform information 330, respectively, for the waveforms having amplitudes within the amplitude range specified in advance for each of the respiratory and the heartbeat. The amplitude value of the respiratory waveform information has an amplitude value larger than the amplitude value of the heartbeat waveform information, but this is only one embodiment, and the amplitude value of the heartbeat waveform information is larger than that of the respiratory waveform information without limitation. Can have a value.

FIG. 4 shows a reference table for classifying danger levels according to one embodiment.

The processor is based on a table created based on the age information of the infant, the pressure-based danger level 410 indicated by the pressure data, the respiratory-based danger level 420 indicated by the respiratory waveform information, and the heartbeat indicated by the heartbeat waveform information. Determine the base risk level 440. The pressure data can include information calculated in pressure magnitude / body weight × 100 (%). The respiratory waveform information may include the frequency of the respiratory waveform and thus includes the calculated number of breaths per minute. The heart rate waveform information may include the frequency of the heart rate waveform, and thus includes the calculated heart rate per minute. Danger levels are divided into "warning", "danger", and "emergency" levels based on the "normal" level, which is the standard for each level. The threshold value is a value predetermined by the table for each age. Illustratively, the processor determines a normal level if the number of breaths per minute is 30 or more and 60 or less per minute for infants <6 months, and per minute for infants 6 months or more and less than 12 months. If the number of breaths is 24 or more and 30 or less, it may be determined as a normal level. In addition, the processor may determine the normal level when the number of breaths per minute is 20 or more and 40 or less for infants of 12 months or more.

The processor may classify the pressure data, the respiratory waveform information, and the heartbeat waveform information into caution and danger levels based on the normal level. Illustratively, for infants under 6 months, Y0 is determined as a normal level when the number of breaths per minute is 30 or more and 60 or less, and Y-1 and 60 when the number of breaths is 20 or more and less than 30. If the number of times exceeds 70 times or less, Y1 is determined as the attention level. Further, the processor determines Y-2 when the number of breaths per minute of the infant is 10 or more and less than 20 times, and Y2 when the number of breaths exceeds 70 times and is 80 times or less, as a danger level. The processor determines Y-3 as an emergency level if it is 0 or more and less than 10 times pre-specified that confirmation notification is required immediately. If the respiratory base risk level 420 is determined as an emergency level, the processor determines the infant condition as a condition that requires immediate confirmation, regardless of the judgment of the hazard level of the other data infrastructure.

The processor can determine the condition of the infant based on one or a combination of pressure-based risk level 410, respiratory-based risk level 420, and heart rate-based risk level 440 determined by the table. Here, the infant condition is determined by the duration 430 of the pressure-based danger level 410 and the respiratory-based danger level 420. That is, the risk level for determining that the infant confirmation is necessary is specified differently depending on whether the duration 430 is 1 minute or more and less than 5 minutes and the duration 430 is 5 minutes or more. .. Further, the processor determines that the infant state is different from each other when the duration 430 is 1 minute or more and less than 5 minutes and when the duration 430 is 5 minutes or more for the same danger level.

For example, if the duration 430 is 1 minute or more and less than 5 minutes and the pressure base danger level 410 is in the X2 state, the processor determines that excessive pressure is being applied by the infant and the pressure base danger level 410. If is X-2, the processor determines that the infant has left the seat or is upside down. Further, if the respiratory base danger level 420 is in the Y2 state, the processor determines that the infant is in a hyperventilated state, and if it is in the Y-2 state, the processor determines that the infant is in a dyspnea state.

If the duration 430 is 5 minutes or longer and the respiratory basis risk level 420 is Y1 or Y-1, the processor informs the user that an infant's respiratory check is needed. According to a further embodiment, if the pressure base danger level 410 is in the X1 state, the processor determines that it is necessary to confirm the factors that apply pressure to the infant, and if it is in the X-1 state, the posture of the infant. It can be provided to the user if there is an abnormality in.

According to a further embodiment, if the duration 430 is greater than or equal to 1 minute and less than 5 minutes, but all of the pressure-based risk level 410 and the respiratory-based risk level 420 are in a state of caution, the processor will determine the infant's pressure. Provide the user with confirmation that all breathing is not normal. For example, if the pressure-based danger level 410 is X1 and the respiratory-based danger level 420 is Y-1, the processor requires the user to check infants even if the duration 430 is greater than or equal to 1 minute and less than 5 minutes. I will inform you that there is. On the other hand, if the danger level is determined to be X3 or Y-3, the processor can output a confirmation notification immediately regardless of the duration 430.

FIG. 5 shows a plurality of unit pressure sensors according to an embodiment in which some sensors are detected.

The processor can determine the pressure detection pattern of the plurality of unit pressure sensors 510 and determine the state of the infant based on the pressure detection pattern. When a pressure exceeding the magnitude of the critical pressure is detected for each unit pressure sensor 510, it is determined that the pressure is detected in the unit pressure sensor 510. In contrast, when the unit pressure sensor 510 detects a pressure equal to or less than the critical pressure, the processor determines that the unit pressure sensor 510 does not detect the pressure.

The processor determines the number of unit pressure sensors 520 in which pressure is detected among the plurality of unit pressure sensors 510, and determines the pressure detection pattern based on the change in the number of unit pressure sensors 510 with time. Illustratively, the processor can calculate the area change in which the pressure is detected according to the change in the number of the unit pressure sensors 510, and thus can determine the area pattern in which the pressure is detected.

According to one embodiment, the processor determines whether or not the unit pressure sensor 510 in a certain range in the mat device 500 detects the pressure by the infant, and when it is determined that the pressure by the infant is detected from the certain range. , It is possible to determine the pressure detection pattern of a plurality of unit pressure sensors 510. In contrast, if it is determined that pressure is not detected by the infant from a certain range, the processor provides a warning alarm to the user. Illustratively, a certain range is a certain range from the center of the mat, and accurate pressure detection is difficult because it is difficult for the processor to accurately detect the pressure when the infant determines that the infant has left the certain range in the center of the mat. Inform the user that the infant's posture needs to be adjusted.

Further, the processor determines that the infant is in a stable state when the number of unit pressure sensors 520 for which pressure is detected is equal to or greater than the threshold value, and when the number of unit pressure sensors 520 for which pressure is detected is equal to or greater than the threshold value. If the pressure changes below the threshold value, it is determined that the infant is in the positioning state. That is, the processor determines that if the number of unit pressure sensors 520 detected from the stable state decreases, the area where pressure is determined to be applied also decreases, so that the processor contacts the infant with the mat. It can be determined that the part of the infant has decreased, and that the posture of the infant is in the positioning state.

According to another embodiment, when the number of unit pressure sensors 520 in which pressure is detected is equal to or greater than the threshold value, it is determined that the infant is in a stable state, and the number of unit pressure sensors 520 in which pressure is detected is equal to or greater than the threshold value. If the pressure changes from the case of That is, if the number of unit pressure sensors 520 detected from the stable state decreases, it is determined that the area where pressure is determined to be applied also decreases, and if the number of unit pressure sensors 520 detected again increases. , It can be judged that the area where the infant is in contact with the mat has increased, and the posture of the infant can be determined to be in a prone state.

Further, when the processor determines that the rate of change in the number of unit pressure sensors 520 in which pressure is detected is equal to or greater than the threshold value change rate, it can determine that the infant is in a state of moving the body.

FIG. 6 shows a screen for outputting the state of the infant according to the embodiment.

The processor determines the infant state and provides the infant state to the user via the user terminal. The mat device and the user terminal may include a communication unit capable of communicating with each other, and the mat device and the user terminal can transmit and receive data including an infant state via the communication unit.

On the output screen 610 of the user terminal, the user terminal provides to the user whether or not communication with the mat device has been established. The user terminal outputs a guidance phrase "No Signal" when communication with the mat device is not established, so that the user can recheck the communication status between the mat device and the user terminal.

When the mat device and the user terminal are in a communicable state on the output screen 620 of the user terminal, the user terminal receives the infant state from the mat device and provides the received infant state to the user. The infant state may be a state determined by a combination of one or more of a pressure-based danger level, a respiratory-based danger level, and a heartbeat-based danger level. When the processor of the mat device or the user terminal determines that the infant condition is in a dangerous state and it is necessary to confirm the infant condition, the user terminal provides the phrase "Danger" to the user.

On the output screen 630 of the user terminal, the user terminal may output a graphic object in which the user inputs at least one of the infant's name, gender, date of birth, and weight. The user terminal stores the data input by the user, and the processor calculates the age of the infant based on the date of birth data input by the user. The processor may also generate pressure data based on infant weight data entered by the user.

On the output screen 640 of the user terminal, the user terminal outputs information about the pressure data applied by the infant. The information regarding the pressure data may be a pressure-based hazard level or may be an infant condition determined based on a pressure detection pattern. Illustratively, if the processor determines that the pressure base hazard level is normal, the user terminal can output the guidance phrase "Current rate: GOOD".

On the output screen 650 of the user terminal, the user terminal outputs information regarding the heart rate base danger level. Information about heart rate-based risk levels includes heart rate per minute, heart rate-based risk levels based on heart rate per minute. Illustratively, if the processor determines from the heart rate waveform information that the heart rate per minute is 60 bpm and the heart rate underlying risk level is normal, the user terminal will have a heart rate per minute of 60 bpm and the current infant heart rate. May output the guidance phrase "Steady and Cool". Further, according to one embodiment, the user terminal or the processor stores the heart rate history, and the user terminal outputs a recent heart rate change graph based on the heart rate history. The heart rate history can include heart rate per minute calculated periodically by the processor.

On the output screen 660 of the user terminal, the user terminal outputs information regarding the state of the room received from the external device. Information about the condition of the room may include, but is not limited to, the humidity, temperature, and air condition of the room, and is exemplary, but is not limited to, calculated based on the data detected by the hub device. It may be the data input from.

FIG. 7 shows a system that provides an infant condition according to an embodiment.

The system for providing the infant condition includes a mat device 720 for detecting the pressure applied by the infant, a hub device 730 for relaying the data acquired by the mat device 720, and a user terminal 710 for providing the infant condition to the user. The mat device 720 may include a plurality of unit pressure sensors, one unit pressure sensor capable of switching the magnitude of pressure applied by the infant at a corresponding point to an electrical signal.

The hub device 730 includes a communication unit that transmits data detected from the mat device 720 to the user terminal 710. The data detected from the mat device 720 may include pressure data or may include infant conditions determined based on the pressure data. According to one embodiment, the hub device 730 can receive pressure data from the mat device 720, determine the infant condition based on the received pressure data, and transmit data regarding the infant condition to the user terminal 710.

The user terminal 710 receives data regarding the infant condition via the hub device 730. Since the output screen provided by the user terminal 710 to the user has been described with reference to FIG. 6, detailed description thereof will be omitted.

The mat device 720, the hub device 730, and the user terminal 710, which are distinguished from each other, may each include a processor, and at least one of the respective processors can determine the infant state based on the pressure data. The communication unit of the mat device 720, the hub device 730, and the user terminal 710 can transmit the data output from the respective processors to different devices.

FIG. 8 is a block diagram showing a device 800 for determining an infant state according to an embodiment.

The infant state determination device 800 includes a detection unit 810, a processor 820, and a memory 830. The detection unit 810 includes a plurality of unit pressure sensors and detects the pressure applied to the mat device by the infant. The processor 820 analyzes the waveform of the pressure data (waveform) detected by a plurality of unit pressure sensors in a certain period of time, and uses a frequency band filter to distinguish the waveform of the pressure data from each other in the frequency band respiratory waveform information. And extract heart rate waveform information. Further, the processor 820 is instructed by the pressure-based danger level indicated by the pressure data, the respiratory-based danger level indicated by the respiratory waveform information, and the heartbeat waveform information based on the table created based on the age information of the infant. The heart rate-based risk level can be determined and the condition of the lying infant can be determined by one or a combination of the pressure-based risk level, the breathing-based risk level, and the heartbeat-based risk level.

The memory 830 stores data generated by the processor 820 at least temporarily, and the data is a table created based on pressure data, respiratory waveform information, heartbeat waveform information, infant age information, and pressure-based risk level. , Respiratory-based risk levels, heartbeat-based risk levels, and infant status data can be included.

FIG. 9 shows a system 900 that provides a plurality of infant states according to an embodiment.

The hub device 920 transmits the data detected from the mat device 910 to the user terminal 930. The hub device 920 can transmit the data detected from one mat device 910 to the user terminal 930, but the data obtained individually from the plurality of mat devices 910 by pairing with the plurality of mat devices 910 is obtained. It is transmitted to the user terminal 930. Therefore, a system that provides a plurality of infant states can easily manage a plurality of infant states via one hub device 920 in a hospital that manages a plurality of infants, a postnatal care center, and an infant institution. ..

The hub device 920 according to the embodiment may include a lighting unit, and the lighting of the lighting unit can be driven by transmitting an electric signal from the processor of the hub device 920. The blinking operation of the lighting unit can notify the user of the connection state with the user terminal 930 or the mat device 910. Further, the lighting unit outputs light having an optimum illuminance and pattern for the infant to take a deep sleep in response to user input. The lighting unit may output the illuminance and the pattern of the light separately according to the state of the room, or may output the alarm display lighting for notifying the emergency situation. The room condition may include, but is not limited to, the humidity, temperature, and air condition of the room and may be calculated based on data directly detected by the hub device 920, but is input from an external device. It can be data.

The embodiment described above is embodied by a hardware component, a software component, or a combination of a hardware component and a software component. For example, the apparatus and components described in this embodiment include, for example, a processor, a controller, an ALU (arithmetic logic unit), a digital signal processor, a microprocessor, an FPA (field program array), and a PLU (programmable). It is embodied using one or more general purpose computers or special purpose computers, such as different devices that execute and respond to units, microprocessors, or instructions. The processing device runs an operating system (OS) and one or more software applications running on the operating system. The processing device also accesses, stores, manipulates, processes, and generates data in response to software execution. For convenience of understanding, one processing device may be described as being used, but those with ordinary knowledge in the art will find that the processing device has multiple processing elements and / or. Understand that it contains multiple types of processing elements. For example, the processing device includes a plurality of processors or one processor and one controller. In addition, other processing configurations such as a parallel processor are also possible.

The software may include computer programs, codes, instructions, or a combination of one or more thereof, to configure the processing device to operate as desired, or to instruct the processing device independently or in combination. The software and / or data is to be interpreted by the processing device or to provide instructions or data to the processing device, any type of machine, component, physical device, virtual device, computer storage medium or device, or transmission. It can be permanently or temporarily embodied in the signal wave to be generated. The software is distributed on a networked computer system and can be stored and executed in a distributed manner. The software and data may be stored on a recording medium readable by one or more computers.

The method according to this embodiment is embodied in the form of program instructions implemented via various computer means and recorded on a computer-readable recording medium. The recording medium includes program instructions, data files, data structures, etc. individually or in combination. The recording medium and program instructions may be specially designed and configured for the purposes of the present invention, and may be known and usable by those skilled in the art of computer software. .. Examples of computer-readable recording media include magnetic media such as hard disks, floppy (registered trademark) disks and magnetic tapes, optical recording media such as CD-ROMs and DVDs, and magnetic-optical media such as floppy disks. , And hardware devices specially configured to store and execute program instructions such as ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine language code as generated by a compiler, but also high-level language code executed by a computer using an interpreter or the like. The hardware device may be configured to operate as one or more software modules to perform the operation shown in the present invention, and vice versa.

As described above, embodiments have been described by way of limited drawings, but anyone with ordinary knowledge in the art may apply various technical modifications and modifications based on the above description. can. For example, the techniques described may be performed in a different order than the methods described, and / or components such as the described systems, structures, devices, circuits, etc. may be combined or combined differently from the methods described. Alternatively, appropriate results can be achieved even if replaced or replaced by other components or equivalents.

Claims (13)

It is a method to judge the state of a lying infant by using pressure information by a processor.
A step in which a plurality of unit pressure sensors included in the mat device detect the pressure applied to the mat device by the infant.
A step of extracting respiratory waveform information and heartbeat waveform information of frequency bands distinguished from each other by using a frequency band filter from the waveforms of pressure data detected by the plurality of unit pressure sensors in a certain period of time.
Based on the table created based on the age information of the infant, the pressure base danger level indicated by the pressure data, the breath base danger level indicated by the breath waveform information, and the heartbeat base danger indicated by the heartbeat waveform information. Steps to determine the level and
A step of determining the condition of the lying infant by one or a combination of the pressure-based danger level, the respiratory-based danger level, and the heartbeat-based danger level.
Infant condition judgment method including. The step of extracting from the respiratory waveform information and the heartbeat waveform information is
A step of extracting waveform information about a specific frequency from the waveform of the pressure data using a frequency band filter, and
A step of extracting the extracted waveform information for each frequency from the respiratory waveform information and the heartbeat waveform information based on an amplitude range that distinguishes them from each other.
The method for determining an infant condition according to claim 1. The step of determining the condition of the infant is
A step of determining the infant condition according to the duration of the pressure-based danger level and the respiratory-based danger level, and
A step of providing alarm information that is distinguished from each other according to the determined infant condition, and
The method for determining an infant condition according to claim 1. The step of determining the pressure detection pattern of the plurality of unit pressure sensors and
A step of determining the condition of an infant based on the pressure detection pattern, and
The method for determining an infant condition according to claim 1. A step of determining whether or not a certain range of unit pressure sensors in the mat device detects pressure by the infant, and
When it is determined that the pressure is detected by the infant from the certain range, the step of determining the pressure detection pattern of the plurality of unit pressure sensors and the step.
A step of providing a warning alarm to the user when it is determined from the certain range that pressure is not detected by the infant.
4. The method for determining an infant condition according to claim 4. The step of determining the pressure detection pattern includes the step of determining that the pressure is detected by the unit pressure sensor when the unit pressure sensor detects a pressure exceeding the magnitude of the critical pressure, according to claim 4. The method for determining the condition of an infant as described. The step of determining the pressure detection pattern is
A step of determining the number of unit pressure sensors in which pressure is detected among the plurality of unit pressure sensors, and
The step of determining the pressure detection pattern based on the change in the number of the unit pressure sensors, and
6. The method for determining an infant condition according to claim 6. The step of determining the infant condition is
When the number of unit pressure sensors in which the pressure is detected is equal to or greater than the threshold value, the step of determining that the infant is in a stable state and the step.
If the number of unit pressure sensors in which the pressure is detected changes from the case where the pressure is equal to or more than the threshold value to the case where the pressure is less than the threshold value, the step of determining that the infant is in the positioning state and the step.
The method for determining an infant condition according to claim 7, including the method. The step of determining the infant condition is
When the number of unit pressure sensors in which the pressure is detected is equal to or greater than the threshold value, the step of determining that the infant is in a stable state and the step.
A step of determining that the infant is in a prone state when the number of unit pressure sensors in which the pressure is detected changes from the case where the pressure is equal to or more than the threshold value to the case where the pressure is less than the threshold value and changes when the number is again equal to or more than the threshold value. When,
7. The method for determining an infant condition according to claim 7. The step of determining the infant state includes a step of determining that the infant is in a state of moving the body when it is determined that the rate of change in the number of unit pressure sensors for which the pressure is detected is equal to or greater than the threshold value change rate. The method for determining an infant condition according to claim 7. The step of extracting from the respiratory waveform information and the heartbeat waveform information is
The step of calculating the average pressure value of the pressure data detected by the plurality of unit pressure sensors, and
A step of analyzing the waveform of the pressure data based on the change of the average pressure value during the fixed time, and the step of analyzing the waveform of the pressure data.
The method for determining an infant condition according to claim 1. A computer-readable recording medium containing one or more computer programs including a command word for executing the infant state determination method according to any one of claims 1 to 11. A detector that includes multiple unit pressure sensors and detects the pressure applied to the mat device by infants.
The waveform of the pressure data detected by the plurality of unit pressure sensors is analyzed in a certain period of time, and the waveform of the pressure data is divided into the respiratory waveform information and the heartbeat waveform information in the frequency band that are distinguished from each other by using the frequency band filter. The pressure base danger level indicated by the pressure data, the breath base danger level indicated by the breath waveform information, and the heart rate waveform information indicate based on the table created based on the extracted and infant age information. A processor that determines the heart rate-based risk level and determines the condition of the lying infant by one or a combination of the pressure-based risk level, the breathing-based risk level, and the heartbeat-based risk level.
Infant condition judgment device including.

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