WO2011053045A2 - Pattern-storing device for managing body temperature, and method for managing body temperature using same - Google Patents

Pattern-storing device for managing body temperature, and method for managing body temperature using same Download PDF

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Publication number
WO2011053045A2
WO2011053045A2 PCT/KR2010/007529 KR2010007529W WO2011053045A2 WO 2011053045 A2 WO2011053045 A2 WO 2011053045A2 KR 2010007529 W KR2010007529 W KR 2010007529W WO 2011053045 A2 WO2011053045 A2 WO 2011053045A2
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WIPO (PCT)
Prior art keywords
body temperature
data
pattern
pattern data
temperature
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PCT/KR2010/007529
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French (fr)
Korean (ko)
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WO2011053045A3 (en
Inventor
우경욱
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(주)케이.엠.아이
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Publication of WO2011053045A2 publication Critical patent/WO2011053045A2/en
Publication of WO2011053045A3 publication Critical patent/WO2011053045A3/en

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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0004—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
    • A61B5/0008—Temperature signals
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6802—Sensor mounted on worn items
    • A61B5/6804—Garments; Clothes
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/74—Details of notification to user or communication with user or patient ; user input means
    • A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K13/00—Thermometers specially adapted for specific purposes
    • G01K13/20—Clinical contact thermometers for use with humans or animals
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/22—Social work
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2503/00—Evaluating a particular growth phase or type of persons or animals
    • A61B2503/06—Children, e.g. for attention deficit diagnosis
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2505/00—Evaluating, monitoring or diagnosing in the context of a particular type of medical care
    • A61B2505/03—Intensive care
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
    • A61B2562/02—Details of sensors specially adapted for in-vivo measurements
    • A61B2562/0271—Thermal or temperature sensors
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6802—Sensor mounted on worn items
    • A61B5/6808—Diapers

Definitions

  • the present invention relates to a pattern storage type temperature management apparatus and a temperature management method using the same, and more particularly, a device for enabling a user to check an abnormal change in body temperature in real time by patterning and storing a temperature change of a person and using the same. It relates to the body temperature management method.
  • the body maintains a constant temperature as energy generated during metabolic processes is circulated throughout the body by blood circulation.
  • Body temperature is important for maintaining good health because it affects the body's immune system.
  • the immunity is reduced by 35%.
  • body temperature rises by 1 °C, immunity is increased by 6 times.
  • the exothermic substance "interferon" raises the temperature of the body, and as a result, the energy metabolism increases, the activity of immune cells fighting the virus becomes active. In other words, a fever when you have a cold is evidence that your immune system is working normally to fight bacteria. Of course, sudden high fever may be caused by an acute infectious disease such as typhoid fever or swine flu, or may be caused by side effects of medication or food intake, shock, etc. and should be treated promptly.
  • body temperature is the simplest and most important means for identifying abnormalities in physical health and therefore needs to be accurately measured and managed.
  • most of the existing thermometers only check the current body temperature, and do not have the function of continuously managing the temperature by making a database.
  • Bio Shirt is a garment type that measures biometric information such as heart rate, respiratory rate, body temperature, and exercise volume based on conductive fibers. Biometric information sensor technology is applied to sportswear. However, this bio shirt has the following problems in terms of hardware and software.
  • the bio shirt is a method of attaching a machine to the chest by wearing a uniform like a general uniform, and it is inconvenient to attach a machine with the help of someone.
  • biosignals such as electrocardiogram, respiration, body temperature, etc. are not managed according to the body characteristics of individual wearers, but are managed in comparison with a predetermined average range of normal values so that individual characteristics cannot be managed continuously.
  • the present invention is to solve the problem of the conventional temperature management device, by attaching a small size management device to the part of the clothing that is in close contact with a certain part of the body not only does not interfere with the activity, patterning the temperature change of the user
  • the present invention is to provide a device and a temperature management method using the same, which enables personalized temperature management reflecting individual body characteristics by comparing the current body temperature with a body temperature change pattern in real time.
  • Pattern storage type temperature management apparatus of the present invention for achieving the above object is a device that is mounted on the clothes in close contact with the body to measure and manage the body temperature, the sensor unit for measuring the body temperature in real time; Receives the temperature data from the sensor unit, generates a slope value obtained from a plurality of body temperature data measured within a predetermined time interval as the pattern data for the change in the user's body temperature, and subsequently measures the body temperature data measured with the pattern data A central control unit for comparing the presence or absence of abnormalities of the body; A memory unit for receiving and storing pattern data and body temperature data from the central controller; And a warning unit configured to generate a warning signal when an abnormality of a body occurs as a result of the determination by the central controller.
  • the pattern-saving body temperature management method comprises the steps of measuring the user's body temperature in real time through the sensor unit 20 mounted on the clothing in close contact with a certain part of the body; Receiving body temperature data from the sensor unit and pre-generating a slope value obtained from a plurality of body temperature data measured within a predetermined time interval as pattern data about a change in body temperature of a user; Determining whether there is an abnormality of the body by comparing the measured body temperature data with the pattern data; And generating a warning signal when an abnormality occurs in the body as a result of the determination.
  • the optimal temperature management can be achieved by storing a pattern of temperature change according to a user's body characteristics and comparing the measured body temperature with the pattern in real time.
  • a pattern of temperature change according to a user's body characteristics
  • comparing the measured body temperature with the pattern in real time.
  • the body temperature management apparatus is manufactured in a small size and is mounted to be in close contact with a certain part of the body, so that the body temperature can be measured and managed in real time without any disruption to the activity.
  • FIG. 1 is a view showing a body temperature management apparatus according to the present invention.
  • Figure 2 is a block diagram of a body temperature management device according to the present invention.
  • FIG. 3 is a view showing a method of generating pattern data according to the present invention.
  • FIG. 4 is a detailed view of the memory unit of FIG. 2;
  • FIG. 5 is a view showing a method of storing body temperature data according to the present invention.
  • Figure 6 is a flow chart of the body temperature management method according to the present invention.
  • body temperature management device 20 sensor
  • central control unit 40 display unit
  • warning part 80 input part
  • the normal body temperature of humans is 36.5 °C, but the range of normal body temperature varies depending on age or constitution. For example, newborns ⁇ 2 years old is 36.4 ⁇ 38 °C, 3-10 ⁇ 36.1 ⁇ 37.8 °C, 11 ⁇ 65 years old 35.9 ⁇ 37.6 °C, 65 years or older 36.8 ⁇ 37.5 °C is the normal temperature range.
  • people with a lot of constitution have a higher average temperature range than the general population. Therefore, in order to achieve optimal temperature management, such individual temperature characteristics must be clearly considered.
  • the conventional body temperature management apparatus has not been able to accurately manage the temperature because the user's body temperature measured in real time is simply compared with the average normal body temperature range of the general public to determine whether there is an abnormality.
  • the user's temperature change pattern was not databased, the user's temperature change could not be compared in the long term.
  • the pattern storage temperature management device is detachably mounted on clothes that directly contact the body, such as underwear, diapers and stockings, and is manufactured in a small size so that it does not interfere with physical activity.
  • the above garments include not only normal clothing but also specially made and adhered to the skin such as a waist band worn by a disk patient.
  • the pattern storage temperature management device can be used by healthy general people, particularly useful for those who need to check in real time the presence of health problems, such as the elderly, elderly people, or people who can not communicate.
  • the pattern storage temperature management apparatus 10 may be manufactured in a thin card form and detachably mounted on a portion of the panties. Therefore, if necessary, the temperature management device 10 can be separated from the panties and transmitted to the external DB device such as a general PC through wired / wireless communication. In addition, the temperature management apparatus 10 displays the current body temperature, body abnormality occurrence message, etc. through the display unit 40, and generates an alarm sound through the speaker of the warning unit 70 when there is an abnormality in body temperature change. If necessary, the user can operate by pressing a button of the input unit 80.
  • the pattern storage type temperature management apparatus 10 includes a sensor unit 20 which is in close contact with a predetermined part of the body and measures body temperature in real time;
  • the central control unit 30 receives the temperature data from the sensor unit 20 and generates the pattern data of the user's temperature change in advance, and then compares the measured body temperature data with the pattern data to determine whether there is an abnormality in the body. ;
  • a memory unit 50 receiving and storing pattern data and body temperature data from the central controller 30;
  • a warning unit 70 for generating a warning signal when an abnormality occurs in the body as a result of the determination by the central control unit 30.
  • the pattern storage type temperature management apparatus includes a display unit 40 for displaying the body temperature data measured by the sensor unit 20 or the result value according to the determination of the central control unit 30, and the user displays the display It may further include an input unit 80 for inputting whether the recognized information.
  • the apparatus may further include a communication unit 60 transmitting the pattern data and the temperature data stored in the memory unit 50 to an external DB server 90.
  • the sensor unit 20 uses a temperature sensor that is excellent in resolution as much as possible, and the temperature sensor is installed in a part of the body of the device that directly contacts the skin.
  • the temperature sensor is installed on the back of the body in the form of a card. Since body temperature depends on the measurement site of the body, the standard temperature is the rectal temperature measured at least 6 cm from the anus. However, in general, the temperature of the armpits, mouth, ears, etc. are measured for the convenience of measurement, and thus may be slightly different from the standard body temperature.
  • the body temperature (eg 35.5 ° C.) measured by being attached to the panties as shown in FIG. 1 may be slightly different from the standard body temperature (36.5 ° C.). Since the sensor unit 20 always measures the body temperature at a certain place, it is possible to use the measurement temperature of the corresponding site to generate pattern data. However, the measurement temperature and standard of the corresponding site for more accurate display and management of the body temperature can be used. The body temperature data can be used as a correction for the difference with the body temperature (1 ° C in the above case).
  • the central control unit 30 previously generates pattern data on a change in body temperature using the temperature data received from the sensor unit 20 and stores the pattern data in the memory unit 50.
  • the generation of the pattern data may be performed during an initial pattern generation period (one week or one month) when the user starts using the temperature management apparatus.
  • an initial pattern generation period one week or one month
  • new pattern data is generated that does not correspond to the existing pattern, it may be updated in real time.
  • the pattern data may be calculated in various ways, which will be described later with reference to FIGS. 3 and 4.
  • the central controller 30 compares the body temperature data received from the sensor unit 20 with the pattern data to determine whether there is an abnormality in the body. That is, when the current body temperature data does not match with all the previously stored pattern data, it is determined that an abnormality has occurred in the body, and control to generate a warning signal.
  • the display unit 40 includes display elements such as an LCD and an LED, and normally displays current body temperature data transmitted to the sensor unit 20. If the current body temperature data deviates from the existing pattern, a body abnormality occurrence message is displayed.
  • the memory unit 50 uses memory elements such as EPROM, SRAM, DRAM, and FLASH MEMORY, and receives pattern data and body temperature data from the central control unit 30 and stores them separately.
  • the pattern data refers to data generated by a separate method to represent the pattern of the user's body temperature change
  • the body temperature data means all the body temperature values measured in real time.
  • the pattern data is generated using body temperature data measured in real time.
  • the memory unit 50 independently allocates and stores the storage area of the pattern data and the temperature data.
  • three months of body temperature data may be stored in the body temperature data storage area of the memory unit 50, and after the body temperature data is transferred to the external DB device 90 within one or two months, the body unit may delete the body temperature data.
  • the body unit may delete the body temperature data.
  • all body temperature data can be stored without loss.
  • it is desirable to preserve the most recent data by deleting the data stored first by a first-in first-out (FIFO) method.
  • FIFO first-in first-out
  • the existing pattern data may be compared to determine only whether there is a body abnormality and then not separately stored.
  • the communication unit 60 may use a wired communication method such as RS-232C, USB 2.0, or a short range wireless communication method such as ZigBee, Bluetooth, Wi-Fi, Wi-BEEM, or the like. .
  • the communication unit 60 transmits the pattern data and body temperature data to the external DB device 90, and the transmitted data is deleted from the memory unit 50 to secure a space for storing new data.
  • the warning unit 70 is configured in a variety of forms, such as speakers, vibrators, lamps, screens to inform the user of the occurrence of body abnormalities, such as alarm / vibration / light / text / graph, the input unit 80 is composed of buttons Allows the user to input a response to the message displayed through the display unit 40 or the warning unit 70.
  • the external DB device 90 may be a separate external storage device manufactured in a set with the body temperature management device, or may be configured using a general PC. Through the external DB device 90 can be used as a single health check device by making a database of their body temperature change over a long period of time and seeing it as a graph. For example, comparing last year's and year's average temperature increases and decreases your health status, and comparing seasonal changes in temperature will tell you which season you should pay particular attention to.
  • the pattern data represents a pattern of a change in body temperature of the user, and represents a temperature pattern changing in a normal situation.
  • the body temperature data can be used as it is. For example, an array of body temperature data values (60 body temperature data arrays at one minute intervals) for one hour is generated and stored as one pattern data. After that, the measured body temperature data is made into a data array of the same time interval, and compared with the existing pattern data array to determine whether it matches. For example, if the body temperature is measured in 1 second units, the average value of the body temperature measured for 60 seconds is calculated from the body temperature data of 1 minute, and the same method is used to create 60 body temperature data arrays representing the temperature change over 1 hour. Can be. When the temperature data array is compared with the existing pattern data array, it is determined that the pattern is consistent with a certain level, for example, 80% or more.
  • this method not only increases the size of the pattern data itself but also increases the number of cases in which the pattern data is formed so that various pattern data exist, so that not only the physical storage capacity but also the time for comparing patterns is increased. This can take a while.
  • each array value is matched one-to-one and the pattern is determined by the number ratio having the same value, there is a possibility that the accuracy of the determination is deteriorated. This is because each array value is slightly different, but if the overall temperature distribution is similar, it can be judged that a normal state or a physical abnormality actually occurred.
  • the gradient value obtained from the plurality of body temperature data measured within a predetermined time interval is preferable to set the gradient value obtained from the plurality of body temperature data measured within a predetermined time interval as the pattern data.
  • a method of calculating a slope value i) a method of calculating a slope value by determining a maximum value and a minimum value of a plurality of body temperature data values measured within a predetermined time interval, ii) dividing the predetermined time interval again by a minute time interval, After calculating the average value of the body temperature data in each micro time interval, there is a method of calculating the slope value using this average value, and iii) using the various numerical methods to obtain the slope value within a certain time interval. Any may be used.
  • the body temperature may exhibit various change patterns according to the activity mode.
  • a pattern pattern according to four representative activity modes will be described with reference to FIG. 3.
  • the body temperature data measured during the 60 minute time interval increases from 36.5 ° C. to 38.5 ° C. and is represented by a slope value of 0.033.
  • This slope value is stored as pattern data in the exercise mode. If the exercise is so rapid that the slope of body temperature rises out of a predetermined pattern or exceeds an absolute upper limit, it will beep once or twice to allow you to exercise according to your ability. On the other hand, after a certain period of time after starting the exercise, a high body temperature is maintained, and after the exercise the body temperature is gradually reduced. Therefore, the pattern of the exercise mode may also be stored in various ways.
  • the body temperature begins to gradually decrease after about 4 hours, and in the morning, the body temperature rises again to return to normal body temperature. Therefore, as shown in (c) of FIG. 3 at a predetermined time interval during sleep, it has a negative slope value (-0.021) at the beginning and a positive slope value (0.015) at the end.
  • the slope value may have two or more values within a predetermined time interval, which are stored in one pattern data array.
  • the change in body temperature occurs abruptly compared to the normal mode (normal mode, exercise mode, and sleep mode). If the temperature data measured in real-time has a sharp slope value, that is, if the absolute upper limit value is exceeded or if it does not match the normal pattern data, a continuous beep is sounded to check the user's health condition before falling down or losing consciousness. Make it possible.
  • the memory unit 50 is divided into a pattern data storage area 52 and a temperature data storage area 54 and assigned independently of each other.
  • the pattern data storage area 52 stores one pattern data array including a pattern number, a slope value, and a tag value.
  • the pattern data having the gradient value is overlapped with previously stored pattern data, the data is not stored again, and only the non-overlapping pattern data is stored as new pattern data.
  • the pattern data of the size of 10 hours it may exhibit a temperature change pattern of 10 days or more.
  • it is not duplicated with previously stored pattern data it is not stored in the case of a pattern representing a body abnormality.
  • the tag value represents an attribute of one pattern data.
  • FIG. 4 is a diagram for one embodiment of storing time information at which each pattern data is generated as a tag value.
  • visual information is stored together in the pattern data array as described above, it can be used as useful information for making an algorithm for comparing body temperature data and pattern data. For example, after classifying pattern data by season using the time information, body temperature data measured in summer may be compared with pattern data generated in summer to reduce time required for determination. That is, it is possible to quickly determine an urgent situation such as an emergency and generate a warning sound to further improve the reliability of the device.
  • the temperature data area 54 stores temperature data measured in real time for each date.
  • the pattern data is stored as the slope value
  • the body temperature data is also converted to the slope value at a predetermined time interval in order to compare with this, but the body temperature data 54 is stored as it is. This is to use it to provide useful health information by transmitting body temperature data to an external DB device to make a database.
  • the body temperature data when the body temperature data indicates a normal state, that is, when the body temperature data is matched with each other compared with the pattern data, the body data is stored at 1 minute intervals as shown in FIG.
  • the body temperature data indicates an abnormal state of the body, that is, compared with the pattern data does not match, it indicates that the extended data in the corresponding data block, and allocates a separate data area as shown in (b) of FIG. Store body temperature data every second. This is to provide more useful health information by storing as much information as possible about the body temperature data regarding the abnormal state of the body.
  • the user's body temperature is measured in real time through the sensor unit 20 mounted on the garment which is in close contact with the body, such as a diaper or underwear (S10).
  • the user uses the measured body temperature data to generate pattern data on a change in body temperature (S30).
  • the generation and storage of such pattern data is mainly performed in the pattern generation period of the initial use, and during this period, it is not determined whether the body is abnormal (S20).
  • the measured body temperature data is compared with the pattern data to determine whether there is an abnormality of the body (S40, S50).
  • the measured body temperature data is stored in the memory unit. Stored in 50 (S60).
  • a warning is issued to alert the user (S70).
  • the situation in which the warning is generated is further classified into a case in which the normal temperature pattern or the existing pattern data does not have the same temperature pattern, and a case due to an abnormal state of the body.
  • This determination may be made by the user listening to the warning sound and inputting the normal state through the button of the input unit 80, or may be determined based on the normal temperature range determined based on the results of various clinical trials. (S80).
  • S80 As a result of the determination of the S80, in the case of the temperature pattern of the normal state that did not exist previously, new pattern data is generated and stored (S90).
  • step S90 new pattern data which does not overlap with the existing pattern data may be generated and stored in real time even after the pattern generation period has elapsed.
  • the determination in S90 in the case of the body temperature pattern indicating the abnormal state of the body, it is not stored separately.
  • the body temperature data of the abnormal state of the body is stored at shorter time intervals, as described with reference to FIG.
  • the step of generating and storing the pattern data can be determined as the pattern data, the slope value obtained from a plurality of body temperature data measured for a predetermined time interval, since the details of this have been described with reference to FIG. See this.

Abstract

The present invention relates to a pattern-storing device for managing body temperature, which forms patterns from and stores changes in the body temperature of a person so as to check for abnormal changes in body temperature on a real-time basis, and also relates to a method for continuously managing not only the body temperature of an ordinary person, but also the body temperature of those with difficulties communicating, such as infants, babies, or critically ill patients. The pattern-storing device for managing body temperature according to the present invention comprises: a sensor unit mounted on a diaper or clothes such as underwear, which are tightly worn on a certain part of the body, so as to measure the body temperature of a wearer; a central control unit which takes, as an input, body temperature data from the sensor unit, determines the inclination value obtained from multiple body temperature data measured at a predetermined time interval as pattern data for changes in the body temperature of a user, preemptively generates the pattern data, and compares body temperature data, measured after the generation of the pattern data, with said pattern data to determine whether or not an abnormality has occurred in the body of the user; a memory unit, which receives the pattern data and the body temperature data from the central control unit, and stores the received data; and a warning unit which generates a warning signal when it is determined by the central control unit that an abnormality has occurred in the body of the user.

Description

패턴 저장식 체온 관리장치 및 이를 이용한 체온 관리방법Pattern storage type temperature management device and body temperature management method using the same
본 발명은 패턴 저장식 체온 관리장치 및 이를 이용한 체온 관리방법에 관한 것으로서, 보다 상세하게는 한 사람의 체온 변화를 패턴화하여 저장함으로써 체온의 이상 변화를 실시간으로 체크할 수 있도록 해 주는 장치 및 이를 이용한 체온 관리방법에 관한 것이다.The present invention relates to a pattern storage type temperature management apparatus and a temperature management method using the same, and more particularly, a device for enabling a user to check an abnormal change in body temperature in real time by patterning and storing a temperature change of a person and using the same. It relates to the body temperature management method.
신체는 신진대사 과정 중에 생긴 에너지가 혈액순환에 의해서 몸 전체에 순환되면서 일정 체온을 유지한다. 건강을 유지하는데 체온이 중요한 이유는 체온이 신체의 면역력을 좌우하기 때문이다. 사람이 정상체온에서 0.5℃ 내려가면 면역력은 35% 감소한다. 예를 들어, 36℃ 이하의 저 체온에서는 신진대사가 활발하게 일어나지 않아 배설 기능이 저하되고, 붓거나 변비, 비만에 걸리기 쉬워진다. 또한, 암세포는 저체온에서 가장 증식이 활발하게 일어난다고 알려져 있다. 반대로 체온이 1℃ 오르면 면역력은 6배나 증가하게 되는데, 발열물질인 "인터페론"이 몸의 온도를 끌어올리고 그 결과 에너지 대사가 높아지면 바이러스와 싸우는 면역세포의 활동이 활발해지는 것이다. 즉, 감기에 걸렸을 때 열이 나는 것은 면역력이 정상적으로 작용하여 세균과 싸우고 있다는 증거이다. 물론, 갑작스런 고열 발생은 장티푸스나 신종 플루와 같은 급성 전염병에 걸리거나 약물이나 음식 섭취의 부작용, 쇼크 등에 의한 것일 수 있으므로 신속하게 치료를 받아야 한다. The body maintains a constant temperature as energy generated during metabolic processes is circulated throughout the body by blood circulation. Body temperature is important for maintaining good health because it affects the body's immune system. When a person goes down to 0.5 ° C at normal body temperature, the immunity is reduced by 35%. For example, at low body temperature of 36 ° C. or less, metabolism does not actively occur, and the excretion function is lowered, and it becomes easy to suffer from swelling, constipation, and obesity. It is also known that cancer cells most proliferate at hypothermia. On the contrary, when the body temperature rises by 1 ℃, immunity is increased by 6 times. The exothermic substance "interferon" raises the temperature of the body, and as a result, the energy metabolism increases, the activity of immune cells fighting the virus becomes active. In other words, a fever when you have a cold is evidence that your immune system is working normally to fight bacteria. Of course, sudden high fever may be caused by an acute infectious disease such as typhoid fever or swine flu, or may be caused by side effects of medication or food intake, shock, etc. and should be treated promptly.
이와 같이, 체온은 신체 건강의 이상 유무를 확인하는데 가장 간단하면서 중요한 수단이 되므로 정확하게 측정되고 관리될 필요가 있다. 체온을 측정하는 방법에는 여러 가지가 있으며, 체온계의 종류나 부착 위치도 다양하다. 그러나, 기존의 체온계는 대부분 현재의 체온을 확인하는데만 그칠 뿐 이를 데이터 베이스화하여 체온을 지속적으로 관리하는 기능까지 갖추지는 못하였다.As such, body temperature is the simplest and most important means for identifying abnormalities in physical health and therefore needs to be accurately measured and managed. There are many ways to measure body temperature, and the types and attachment positions of the thermometers also vary. However, most of the existing thermometers only check the current body temperature, and do not have the function of continuously managing the temperature by making a database.
최근에 한국전자통신연구원(ETRI)에서 개발하여 전국체전 육상선수 20 여명에게 보급함으로써 관심을 모은 "바이오 셔츠"는 전도성 섬유를 기반으로 심박수, 호흡수, 체온, 운동량 등 생체 정보를 측정하는 의복형 생체정보센서 기술을 운동복에 적용한 것이다. 그러나, 이 바이오 셔츠는 하드웨어적인 면과 소프트웨어적인 면에서 다음과 같은 문제점이 있다.Recently developed by Korea Electronics and Telecommunications Research Institute (ETRI) and distributed to over 20 athletes nationwide, "Bio Shirt" is a garment type that measures biometric information such as heart rate, respiratory rate, body temperature, and exercise volume based on conductive fibers. Biometric information sensor technology is applied to sportswear. However, this bio shirt has the following problems in terms of hardware and software.
하드웨어적인 면에서는 바이오 셔츠는 일반 유니폼과 같은 형태의 운동복을 착용하고 가슴 부위에 부착하는 방식이어서 누군가의 도움을 받아 기계를 부착하는 불편함이 있고, 또한 가슴 부위에 부착하므로 장시간 사용시에 답답한 느낌을 줄 수 있다. 그리고 소프트웨어적인 면에서는 심전도, 호흡, 체온 등과 같은 생체 신호를 착용자 개개인의 신체 특성에 맞추어 관리하는 것이 아니라 미리 정해진 평균적인 정상수치 범위와 비교하여 관리함으로써 지속적인 개인별 특성 관리가 되지 못한다는 문제점이 있다.In terms of hardware, the bio shirt is a method of attaching a machine to the chest by wearing a uniform like a general uniform, and it is inconvenient to attach a machine with the help of someone. Can give In addition, in terms of software, biosignals such as electrocardiogram, respiration, body temperature, etc. are not managed according to the body characteristics of individual wearers, but are managed in comparison with a predetermined average range of normal values so that individual characteristics cannot be managed continuously.
본 발명은 종래 체온 관리장치의 문제점을 해결하기 위한 것으로, 신체의 일정 부위에 밀착되는 의복의 일부분에 작은 크기의 관리장치를 부착하여 활동에 지장이 없도록 하였을 뿐만 아니라, 사용자의 체온 변화를 패턴화하고 현재 체온을 본인의 체온 변화 패턴과 실시간으로 비교함으로써 개인별 신체 특성을 반영한 맞춤형 체온 관리가 가능하도록 해주는 장치 및 이를 이용한 체온 관리방법을 제공하는데 그 목적이 있다.The present invention is to solve the problem of the conventional temperature management device, by attaching a small size management device to the part of the clothing that is in close contact with a certain part of the body not only does not interfere with the activity, patterning the temperature change of the user The present invention is to provide a device and a temperature management method using the same, which enables personalized temperature management reflecting individual body characteristics by comparing the current body temperature with a body temperature change pattern in real time.
상기 목적을 달성하기 위한 본 발명의 패턴 저장식 체온 관리장치는, 신체에 밀착되는 의복에 장착되어 체온을 측정, 관리하는 장치로서, 실시간으로 체온을 측정하는 센서부; 상기 센서부로부터 체온 데이터를 입력받고, 일정시간 간격 내에 측정된 다수개의 체온 데이터로부터 얻어지는 기울기 값을 사용자의 체온 변화에 대한 패턴 데이터로 정하여 미리 생성하고, 이후에 측정된 체온 데이터를 상기 패턴 데이터와 비교하여 신체의 이상 유무를 판단하는 중앙 제어부; 상기 중앙 제어부로부터 패턴 데이터와 체온 데이터를 전송받아 저장하는 메모리부; 및 상기 중앙 제어부의 판단 결과, 신체의 이상이 발생한 경우에 경고 신호를 발생시키는 경고부;를 포함한다.Pattern storage type temperature management apparatus of the present invention for achieving the above object is a device that is mounted on the clothes in close contact with the body to measure and manage the body temperature, the sensor unit for measuring the body temperature in real time; Receives the temperature data from the sensor unit, generates a slope value obtained from a plurality of body temperature data measured within a predetermined time interval as the pattern data for the change in the user's body temperature, and subsequently measures the body temperature data measured with the pattern data A central control unit for comparing the presence or absence of abnormalities of the body; A memory unit for receiving and storing pattern data and body temperature data from the central controller; And a warning unit configured to generate a warning signal when an abnormality of a body occurs as a result of the determination by the central controller.
한편, 본 발명에 따른 패턴 저장식 체온 관리방법은, 신체의 일정 부위에 밀착되는 의복에 장착된 센서부(20)를 통해 사용자의 체온을 실시간으로 측정하는 단계; 상기 센서부로부터 체온 데이터를 입력받고, 일정시간 간격 내에 측정된 다수개의 체온 데이터로부터 얻어지는 기울기 값을 사용자의 체온 변화에 대한 패턴 데이터로 정하여 미리 생성하는 단계; 이후에 측정된 체온 데이터를 상기 패턴 데이터와 비교하여 신체의 이상 유무를 판단하는 단계; 및 상기 판단 결과, 신체에 이상이 발생한 경우에 경고 신호를 발생시키는 단계;를 포함한다.On the other hand, the pattern-saving body temperature management method according to the present invention comprises the steps of measuring the user's body temperature in real time through the sensor unit 20 mounted on the clothing in close contact with a certain part of the body; Receiving body temperature data from the sensor unit and pre-generating a slope value obtained from a plurality of body temperature data measured within a predetermined time interval as pattern data about a change in body temperature of a user; Determining whether there is an abnormality of the body by comparing the measured body temperature data with the pattern data; And generating a warning signal when an abnormality occurs in the body as a result of the determination.
본 발명에 따른 패턴 저장식 체온 관리장치 및 그 방법에 따르면, 사용자의 신체 특성에 따른 체온 변화의 패턴을 저장하고 실시간으로 측정된 체온을 상기 패턴과 비교함으로써 최적의 체온 관리가 이루어질 수 있도록 해준다. 그 결과, 일반인은 물론 유아, 아기 또는 중환자 등 의사소통이 불가능한 사람의 체온을 지속적이고 효과적으로 관리할 수 있다.According to the pattern storage type temperature management apparatus and method thereof according to the present invention, the optimal temperature management can be achieved by storing a pattern of temperature change according to a user's body characteristics and comparing the measured body temperature with the pattern in real time. As a result, it is possible to continuously and effectively manage the body temperature of the general public, as well as those who cannot communicate, such as infants, babies or critically ill.
또한, 본 발명에 따른 체온 관리장치는 작은 사이즈로 제작되어 신체의 일정 부위에 밀착되도록 장착되기 때문에, 활동에 전혀 지장을 주지 아니하면서 실시간으로 체온을 측정, 관리할 수 있다. In addition, the body temperature management apparatus according to the present invention is manufactured in a small size and is mounted to be in close contact with a certain part of the body, so that the body temperature can be measured and managed in real time without any disruption to the activity.
또한, 본 발명에 따르면 사용자의 체온 변화 패턴과 체온 변화의 이력을 외부 DB 장치에 전송하여 데이터 베이스화함으로써, 일정 기간 동안 본인의 건강 상태의 변화를 확인할 수 있어 정기 검진의 효과도 얻을 수 있다. In addition, according to the present invention by transmitting the user's temperature change pattern and the history of the temperature change to an external DB device to make a database, it is possible to check the change of one's health status for a certain period of time, thereby obtaining the effect of regular checkups.
또한, 본 발명에 따르면 기존의 체온 변화 패턴을 벗어나는 경우에 곧바로 경고 신호가 발생시켜 신속한 대처가 가능하도록 해줌으로써 응급 사태를 미리 예방할 수 있다.In addition, according to the present invention it is possible to prevent an emergency in advance by enabling a quick response by generating a warning signal immediately when the deviation from the existing body temperature change pattern.
도 1은 본 발명에 따른 체온 관리장치를 나타낸 도면.1 is a view showing a body temperature management apparatus according to the present invention.
도 2는 본 발명에 따른 체온 관리장치의 블록도.Figure 2 is a block diagram of a body temperature management device according to the present invention.
도 3은 본 발명에 따른 패턴 데이터의 생성 방법을 나타낸 도면.3 is a view showing a method of generating pattern data according to the present invention.
도 4는 도 2의 메모리부를 상세 도시한 도면.4 is a detailed view of the memory unit of FIG. 2;
도 5는 본 발명에 따른 체온 데이터의 저장 방법을 나타낸 도면.5 is a view showing a method of storing body temperature data according to the present invention.
도 6은 본 발명에 따른 체온 관리방법의 순서도.Figure 6 is a flow chart of the body temperature management method according to the present invention.
도면의 주요 부분에 대한 부호의 설명Explanation of symbols for the main parts of the drawings
10: 체온 관리장치 20: 센서부10: body temperature management device 20: sensor
30: 중앙 제어부 40: 디스플레이부30: central control unit 40: display unit
50: 메모리부 60: 통신부50: memory unit 60: communication unit
70: 경고부 80: 입력부70: warning part 80: input part
90: DB 서버90: DB server
흔히 사람의 정상 체온이 36.5℃라고 하지만, 연령 또는 체질에 따라 정상 체온의 범위가 모두 다르다. 예를 들어 신생아 ~ 2세는 36.4 ~ 38℃, 3 ~ 10세는 36.1 ~ 37.8℃, 11 ~ 65세는 35.9 ~ 37.6℃, 65세 이상은 36.8 ~ 37.5℃가 정상 체온 범위가 된다. 또한, 체질적으로 열이 많은 사람은 일반인들 보다 평균 체온 범위가 높다. 따라서, 최적의 체온 관리가 이루어지기 위해서는 이러한 개인별 체온 특성이 분명히 고려되어야 한다.Normally, the normal body temperature of humans is 36.5 ℃, but the range of normal body temperature varies depending on age or constitution. For example, newborns ~ 2 years old is 36.4 ~ 38 ℃, 3-10 ~ 36.1 ~ 37.8 ℃, 11 ~ 65 years old 35.9 ~ 37.6 ℃, 65 years or older 36.8 ~ 37.5 ℃ is the normal temperature range. In addition, people with a lot of constitution have a higher average temperature range than the general population. Therefore, in order to achieve optimal temperature management, such individual temperature characteristics must be clearly considered.
그러나, 상술한 바와 같이 기존의 체온 관리장치들은 실시간으로 측정된 사용자의 체온을 단순히 일반인의 평균 정상 체온 범위와 비교하여 이상 유무를 판단하였기 때문에 정확한 체온 관리가 이루어지지 못하였다. 또한, 사용자의 체온 변화 패턴을 데이터 베이스화하지 않았기 때문에 장기적인 관점에서 사용자의 체온 변화를 비교할 수도 없었다. However, as described above, the conventional body temperature management apparatus has not been able to accurately manage the temperature because the user's body temperature measured in real time is simply compared with the average normal body temperature range of the general public to determine whether there is an abnormality. In addition, since the user's temperature change pattern was not databased, the user's temperature change could not be compared in the long term.
본 발명에 따른 패턴 저장식 체온 관리장치는 이러한 종래의 문제점을 해결하기 위하여 개발된 것인 바, 이하에서 첨부된 도면을 참조로 본 발명의 구체적인 실시예를 상세히 설명한다.The pattern storage type temperature management apparatus according to the present invention has been developed to solve such a conventional problem. Hereinafter, specific embodiments of the present invention will be described in detail with reference to the accompanying drawings.
패턴 저장식 체온 관리장치는 속옷, 기저귀, 스타킹과 같이 신체에 직접 접촉하는 의복에 탈착 가능하게 장착되며, 작은 사이즈로 제작되므로 신체 활동에 지장을 주지 아니한다. 위 의복은 통상의 의류뿐만 아니라 디스크 환자가 착용하는 허리 복대와 같이 특별히 제작되어 피부에 밀착되는 것도 포함한다. 또한, 패턴 저장식 체온 관리장치는 건강한 일반 사람들도 사용할 수 있으며, 유아, 중환자 등 의사소통이 불가능한 사람이나 노약자와 같이 건강의 이상 유무를 실시간으로 점검해야 하는 사람들에게 특히 유용하다. The pattern storage temperature management device is detachably mounted on clothes that directly contact the body, such as underwear, diapers and stockings, and is manufactured in a small size so that it does not interfere with physical activity. The above garments include not only normal clothing but also specially made and adhered to the skin such as a waist band worn by a disk patient. In addition, the pattern storage temperature management device can be used by healthy general people, particularly useful for those who need to check in real time the presence of health problems, such as the elderly, elderly people, or people who can not communicate.
도 1은 패턴 저장식 체온 관리장치가 속옷인 팬티(1) 또는 기저귀(2)에 부착된 사용예가 도시되어 있다. 이와 같이, 패턴 저장식 체온 관리장치(10)는 얇은 카드 형태로 제작되어 팬티의 일부분에 탈착 가능하게 장착될 수 있다. 따라서, 필요한 경우 이 체온 관리장치(10)를 팬티로부터 분리하여 일반 PC와 같은 외부 DB 장치로 유/무선 통신을 통해 데이터를 전송할 수 있다. 또한, 이 체온 관리장치(10)는 디스플레이부(40)를 통해 현재 체온, 신체 이상 발생 메시지 등을 표시하고, 체온 변화에 이상이 있는 경우에는 경고부(70)의 스피커를 통해 경고음을 발생시키며, 사용자는 필요한 경우 입력부(80)의 버튼을 눌러 조작할 수 있다.1 shows an example in which the pattern storage temperature management device is attached to the underpants 1 or diapers 2 which are underwear. As such, the pattern storage temperature management apparatus 10 may be manufactured in a thin card form and detachably mounted on a portion of the panties. Therefore, if necessary, the temperature management device 10 can be separated from the panties and transmitted to the external DB device such as a general PC through wired / wireless communication. In addition, the temperature management apparatus 10 displays the current body temperature, body abnormality occurrence message, etc. through the display unit 40, and generates an alarm sound through the speaker of the warning unit 70 when there is an abnormality in body temperature change. If necessary, the user can operate by pressing a button of the input unit 80.
이러한 패턴 저장식 체온 관리장치(10)의 구성을 도 2를 참조로 보다 상세히 설명한다. 기본적으로 패턴 저장식 체온 관리장치(10)는 신체의 일정 부위에 밀착되어 실시간으로 체온을 측정하는 센서부(20); 상기 센서부(20)로부터 체온 데이터를 입력받아 사용자의 체온 변화에 대한 패턴 데이터를 미리 생성하고, 이후에 측정된 체온 데이터를 상기 패턴 데이터와 비교하여 신체의 이상 유무를 판단하는 중앙 제어부(30); 상기 중앙 제어부(30)로부터 패턴 데이터와 체온 데이터를 전송받아 저장하는 메모리부(50); 및 상기 중앙 제어부(30)의 판단 결과, 신체의 이상이 발생한 경우에 경고 신호를 발생시키는 경고부(70);로 구성된다. The configuration of the pattern storage temperature management apparatus 10 will be described in more detail with reference to FIG. 2. Basically, the pattern storage type temperature management apparatus 10 includes a sensor unit 20 which is in close contact with a predetermined part of the body and measures body temperature in real time; The central control unit 30 receives the temperature data from the sensor unit 20 and generates the pattern data of the user's temperature change in advance, and then compares the measured body temperature data with the pattern data to determine whether there is an abnormality in the body. ; A memory unit 50 receiving and storing pattern data and body temperature data from the central controller 30; And a warning unit 70 for generating a warning signal when an abnormality occurs in the body as a result of the determination by the central control unit 30.
또한, 본 발명에 따른 패턴 저장식 체온 관리장치는 상기 센서부(20)에 의해 측정된 체온 데이터 또는 상기 중앙 제어부(30)의 판단에 따른 결과치를 표시하는 디스플레이부(40)와, 사용자가 상기 디스플레이된 정보에 대한 인식 여부를 입력하는 입력부(80)를 더 포함할 수 있다. 또한, 상기 메모리부(50)에 저장된 패턴 데이터와 체온 데이터를 외부의 DB 서버(90)로 전송하는 통신부(60)를 더 포함할 수 있다. In addition, the pattern storage type temperature management apparatus according to the present invention includes a display unit 40 for displaying the body temperature data measured by the sensor unit 20 or the result value according to the determination of the central control unit 30, and the user displays the display It may further include an input unit 80 for inputting whether the recognized information. The apparatus may further include a communication unit 60 transmitting the pattern data and the temperature data stored in the memory unit 50 to an external DB server 90.
상기 센서부(20)는 가급적 분해능(Resolution)이 우수한 온도 센서를 사용하고, 이 온도 센서는 장치의 몸체 중에서 피부에 직접 접촉하는 부분에 설치된다. 예를 들어 도 1에서는 카드 형태의 몸체 뒷면에 온도 센서가 설치되는 것이 바람직하다. 체온은 신체의 측정 부위에 따라 달라지므로, 항문에서 6㎝ 이상 들어간 곳에서 측정한 직장의 온도를 표준 체온으로 한다. 그러나, 일반적으로 측정의 편의를 위하여 겨드랑이, 구강, 귀 등의 온도를 측정하므로 표준 체온과는 조금씩 상이할 수 있다. The sensor unit 20 uses a temperature sensor that is excellent in resolution as much as possible, and the temperature sensor is installed in a part of the body of the device that directly contacts the skin. For example, in Figure 1 it is preferable that the temperature sensor is installed on the back of the body in the form of a card. Since body temperature depends on the measurement site of the body, the standard temperature is the rectal temperature measured at least 6 cm from the anus. However, in general, the temperature of the armpits, mouth, ears, etc. are measured for the convenience of measurement, and thus may be slightly different from the standard body temperature.
따라서, 도 1에서와 같이 팬티에 부착되어 측정된 체온(예를 들어 35.5℃)은 표준 체온(36.5℃)과 조금 상이할 수 있다. 상기 센서부(20)는 항상 일정한 곳에서 체온을 측정하기 때문에 패턴 데이터를 생성하는데 해당 부위의 측정 온도를 그대로 사용하여도 무방하나, 보다 정확한 체온의 표시 및 관리를 위하여 해당 부위의 측정 온도와 표준 체온과의 차이(위의 경우 1℃)를 보정한 값을 체온 데이터로 사용할 수도 있다.Thus, the body temperature (eg 35.5 ° C.) measured by being attached to the panties as shown in FIG. 1 may be slightly different from the standard body temperature (36.5 ° C.). Since the sensor unit 20 always measures the body temperature at a certain place, it is possible to use the measurement temperature of the corresponding site to generate pattern data. However, the measurement temperature and standard of the corresponding site for more accurate display and management of the body temperature can be used. The body temperature data can be used as a correction for the difference with the body temperature (1 ° C in the above case).
상기 중앙 제어부(30)는 센서부(20)로부터 전송받은 체온 데이터를 이용하여 사용자의 체온 변화에 대한 패턴 데이터를 미리 생성하고 이를 메모리부(50)에 저장한다. 이러한 패턴 데이터의 생성은 사용자가 체온 관리장치를 사용하기 시작한 초기의 패턴 생성 기간(1주일 또는 1개월) 동안 이루어질 수 있다. 물론, 이러한 패턴 생성 기간이 도과한 후에도 기존의 패턴에 해당되지 않는 새로운 패턴 데이터가 생성된 경우에는 이를 실시간으로 업데이트할 수 있다. 이러한 패턴 데이터는 여러 가지 방법으로 계산될 수 있는 바, 이에 대한 상세한 설명은 도 3 및 도 4를 참조로 후술하기로 한다.The central control unit 30 previously generates pattern data on a change in body temperature using the temperature data received from the sensor unit 20 and stores the pattern data in the memory unit 50. The generation of the pattern data may be performed during an initial pattern generation period (one week or one month) when the user starts using the temperature management apparatus. Of course, even after such a pattern generation period has elapsed, when new pattern data is generated that does not correspond to the existing pattern, it may be updated in real time. The pattern data may be calculated in various ways, which will be described later with reference to FIGS. 3 and 4.
또한, 상기 중앙 제어부(30)는 패턴 데이터를 생성한 이후에 상기 센서부(20)로부터 전송받은 체온 데이터를 상기 패턴 데이터와 비교하여 신체의 이상 유무를 판단한다. 즉, 현재의 체온 데이터가 미리 저장되어 있던 모든 패턴 데이터와 비교하여 일치하지 않는 경우에는 신체에 이상이 발생하였다고 판단하고 경고 신호를 발생시키도록 제어한다.In addition, after generating the pattern data, the central controller 30 compares the body temperature data received from the sensor unit 20 with the pattern data to determine whether there is an abnormality in the body. That is, when the current body temperature data does not match with all the previously stored pattern data, it is determined that an abnormality has occurred in the body, and control to generate a warning signal.
상기 디스플레이부(40)는 LCD, LED 등의 표시소자로 구성되며, 평상시에는 센서부(20)로 전송된 현재의 체온 데이터를 디스플레이한다. 그리고, 현재의 체온 데이터가 기존의 패턴을 벗어난 경우에는 신체 이상 발생 메시지를 디스플레이한다. The display unit 40 includes display elements such as an LCD and an LED, and normally displays current body temperature data transmitted to the sensor unit 20. If the current body temperature data deviates from the existing pattern, a body abnormality occurrence message is displayed.
상기 메모리부(50)는 EPROM, SRAM, DRAM, FLASH MEMORY 등의 기억 소자를 사용하며, 상기 중앙 제어부(30)로부터 패턴 데이터와 체온 데이터를 전송받아 별도로 저장한다. 여기서 패턴 데이터라 함은 사용자의 체온 변화의 패턴을 나타내기 위하여 별도로 방법으로 생성된 데이터를 의미하고, 체온 데이터는 실시간으로 측정된 모든 체온값을 의미한다. 상술한 바와 같이, 상기 패턴 데이터는 실시간으로 측정된 체온 데이터를 이용하여 생성된다. 메모리부(50)는 이러한 패턴 데이터와 체온 데이터의 저장 영역을 독립적으로 할당하여 저장한다. The memory unit 50 uses memory elements such as EPROM, SRAM, DRAM, and FLASH MEMORY, and receives pattern data and body temperature data from the central control unit 30 and stores them separately. Here, the pattern data refers to data generated by a separate method to represent the pattern of the user's body temperature change, and the body temperature data means all the body temperature values measured in real time. As described above, the pattern data is generated using body temperature data measured in real time. The memory unit 50 independently allocates and stores the storage area of the pattern data and the temperature data.
예를 들어, 메모리부(50)의 체온 데이터 저장 영역에 3개월치 체온 데이터를 저장할 수 있고, 1, 2개월 이내에 외부 DB 장치(90)로 체온 데이터를 전송한 후 메모리부(50)에서 이를 삭제하면 모든 체온 데이터를 손실 없이 보관할 수 있다. 그러나, 장기 출장 등으로 인해 3개월 이상 데이터를 전송하지 못한 경우에는 선입선출(FIFO) 방식으로 먼저 저장된 데이터를 삭제함으로써 가장 최근의 데이터를 보존할 수 있도록 하는 것이 바람직하다. 다른 실시예로서, 체온 데이터 저장 영역에 빈 공간이 없는 경우에 기존 패턴 데이터가 비교하여 신체 이상 유무만을 판단한 후 별도로 저장하지 않는 방법도 있다.For example, three months of body temperature data may be stored in the body temperature data storage area of the memory unit 50, and after the body temperature data is transferred to the external DB device 90 within one or two months, the body unit may delete the body temperature data. This way, all body temperature data can be stored without loss. However, when data cannot be transmitted for more than three months due to long-term travel, it is desirable to preserve the most recent data by deleting the data stored first by a first-in first-out (FIFO) method. In another embodiment, when there is no empty space in the body temperature data storage area, the existing pattern data may be compared to determine only whether there is a body abnormality and then not separately stored.
이 밖에, 메모리부(50)에 저장되는 패턴 데이터 및 체온 데이터 포맷에 대해서는 도 4를 참조로 후술하기로 한다.In addition, the pattern data and the temperature data format stored in the memory unit 50 will be described later with reference to FIG. 4.
상기 통신부(60)는 RS-232C, USB 2.0과 같은 유선 통신 방식이나, 지그비(ZigBee), 블루투스(Bluetooth), 와이파이(WiFi), 와이빔(WiBEEM)과 같은 근거리 무선 통신 방식 등을 사용할 수 있다. 통신부(60)는 외부 DB 장치(90)로 상기 패턴 데이터와 체온 데이터를 전송하고, 전송된 데이터는 메모리부(50)에서 삭제되어 새로운 데이터를 저장할 수 있는 공간을 확보한다. The communication unit 60 may use a wired communication method such as RS-232C, USB 2.0, or a short range wireless communication method such as ZigBee, Bluetooth, Wi-Fi, Wi-BEEM, or the like. . The communication unit 60 transmits the pattern data and body temperature data to the external DB device 90, and the transmitted data is deleted from the memory unit 50 to secure a space for storing new data.
상기 경고부(70)는 스피커, 진동자, 램프, 화면 등 다양한 형태로 구성되어 신체 이상의 발생을 알람/진동/불빛/문자/그래프 등으로 사용자에게 알려주고, 상기 입력부(80)는 버튼 등으로 구성되어 디스플레이부(40)나 경고부(70)를 통해 나타나는 메시지에 대해 사용자의 응답을 입력할 수 있도록 해준다.The warning unit 70 is configured in a variety of forms, such as speakers, vibrators, lamps, screens to inform the user of the occurrence of body abnormalities, such as alarm / vibration / light / text / graph, the input unit 80 is composed of buttons Allows the user to input a response to the message displayed through the display unit 40 or the warning unit 70.
상기 외부 DB 장치(90)는 체온 관리장치와 세트로 제작된 별도의 외부 저장장치일 수도 있고, 일반 PC를 이용하여 구성될 수도 있다. 이 외부 DB 장치(90)를 통해 장기간에 걸친 자신의 체온 변화를 데이터 베이스화하고 이를 그래프 등으로 볼 수 있도록 함으로써 하나의 건강 검진 장치로도 활용할 수 있다. 예를 들어, 작년과 올해의 평균 체온의 증감을 비교하면 건강 유지 상태를 확인할 수 있고, 계절별 체온 변화 추이를 비교하면 어느 계절에 특히 체온 유지에 신경을 써야 하는지 알 수 있게 된다. The external DB device 90 may be a separate external storage device manufactured in a set with the body temperature management device, or may be configured using a general PC. Through the external DB device 90 can be used as a single health check device by making a database of their body temperature change over a long period of time and seeing it as a graph. For example, comparing last year's and year's average temperature increases and decreases your health status, and comparing seasonal changes in temperature will tell you which season you should pay particular attention to.
도 3 내지 도 4를 참조로 본 발명에 따른 패턴 데이터의 생성 및 저장 방식을 상세히 설명한다.A method of generating and storing pattern data according to the present invention will be described in detail with reference to FIGS. 3 to 4.
패턴 데이터는 사용자의 체온 변화의 패턴을 나타내는 것으로 정상적인 상황에서 변화되는 체온 패턴을 나타낸다. 이러한 패턴 데이터의 구성으로서 가장 간단하게는 체온 데이터를 그대로 사용할 수 있다. 예를 들어, 1 시간 동안의 체온 데이터 값의 배열(1분 간격으로 된 60개의 체온 데이터 배열)을 하나의 패턴 데이터로 생성하여 저장한다. 이 후에 측정된 체온 데이터를 동일한 시간 간격의 데이터 배열로 만들어 기존의 패턴 데이터 배열과 비교하여 일치 여부를 판단한다. 예를 들어 체온을 1초 단위로 측정하는 경우에는 60초 동안 측정한 체온의 평균값을 해당 1분의 체온 데이터로 계산하고, 동일한 방법으로 1시간 동안의 체온 변화를 나타내는 60개의 체온 데이터 배열을 만들 수 있다. 이 체온 데이터 배열과 기존의 패턴 데이터 배열을 비교하여 일정 수준, 예를 들어 80% 이상 동일한 경우에는 해당 패턴과 일치하는 것으로 판단한다. The pattern data represents a pattern of a change in body temperature of the user, and represents a temperature pattern changing in a normal situation. As the configuration of the pattern data, the body temperature data can be used as it is. For example, an array of body temperature data values (60 body temperature data arrays at one minute intervals) for one hour is generated and stored as one pattern data. After that, the measured body temperature data is made into a data array of the same time interval, and compared with the existing pattern data array to determine whether it matches. For example, if the body temperature is measured in 1 second units, the average value of the body temperature measured for 60 seconds is calculated from the body temperature data of 1 minute, and the same method is used to create 60 body temperature data arrays representing the temperature change over 1 hour. Can be. When the temperature data array is compared with the existing pattern data array, it is determined that the pattern is consistent with a certain level, for example, 80% or more.
그러나, 이러한 방식을 사용하면 패턴 데이터 자체의 크기가 클 뿐만 아니라 패턴 데이터를 형성하는 경우의 수가 너무 많아져서 다양한 패턴 데이터가 존재하게 되므로, 물리적인 저장 용량이 증가하는 것은 물론 패턴을 비교하는데 많은 시간이 소요될 수 있다.However, this method not only increases the size of the pattern data itself but also increases the number of cases in which the pattern data is formed so that various pattern data exist, so that not only the physical storage capacity but also the time for comparing patterns is increased. This can take a while.
더욱이, 이 방법에 따르면 각각의 배열 값들을 1대1로 대응시킨 후 동일한 값을 가지는 갯수 비율로 패턴의 일치 여부를 판단하므로 판단의 정확성이 떨어질 가능성이 있다. 왜냐하면, 각각의 배열 값들은 조금씩 상이하지만 전체적인 온도 분포가 유사한 경우, 실제로는 정상 상태이나 신체 이상이 발생한 것으로 판단할 수 있기 때문이다. In addition, according to this method, since each array value is matched one-to-one and the pattern is determined by the number ratio having the same value, there is a possibility that the accuracy of the determination is deteriorated. This is because each array value is slightly different, but if the overall temperature distribution is similar, it can be judged that a normal state or a physical abnormality actually occurred.
각각의 배열 값이 아니라 전체적인 온도 분포의 유사성을 근거로 판단하기 위해서는 일정 시간 간격 내에 측정된 다수개의 체온 데이터로부터 얻어지는 기울기 값을 패턴 데이터로 정하는 것이 바람직하다. 상기 기울기 값을 계산하는 방법으로, i) 일정 시간 간격 내에서 측정된 다수개의 체온 데이터 값 중에서 최대값과 최소값을 정하여 기울기 값으로 계산하는 방법, ii) 일정 시간 간격을 다시 미소 시간 간격을 나누고, 각각의 미소 시간 간격 내의 체온 데이터의 평균값을 구한 후, 이 평균값을 이용하여 기울기 값을 계산하는 방법, iii) 기타 다양한 수치 해석의 방법을 사용하여 일정 시간 간격 내의 기울기 값을 구하는 방법이 있는 바, 어느 것을 사용하여도 무방하다. In order to determine based on the similarity of the overall temperature distribution instead of the respective array values, it is preferable to set the gradient value obtained from the plurality of body temperature data measured within a predetermined time interval as the pattern data. I) a method of calculating a slope value, i) a method of calculating a slope value by determining a maximum value and a minimum value of a plurality of body temperature data values measured within a predetermined time interval, ii) dividing the predetermined time interval again by a minute time interval, After calculating the average value of the body temperature data in each micro time interval, there is a method of calculating the slope value using this average value, and iii) using the various numerical methods to obtain the slope value within a certain time interval. Any may be used.
체온은 활동 모드에 따라 다양한 변화 패턴을 나타낼 수 있는데, 이하에서 대표적인 4가지 활동 모드에 따른 패턴 양상을 도 3을 참조로 설명한다. The body temperature may exhibit various change patterns according to the activity mode. Hereinafter, a pattern pattern according to four representative activity modes will be described with reference to FIG. 3.
(1) 평상 모드(1) normal mode
실내에서 사무를 보거나 독서, TV 시청 등을 하는 것으로서, 하루 일과 중 대부분이 여기에 속하며, 이 때에는 체온의 변화가 거의 발생하지 아니한다. 이 경우에는 도 3의 (a)와 같이 60분의 시간 간격 동안에 측정된 체온 데이터가 정상 체온인 36.5℃ 부근에서 분포하므로 그 기울기 값도 0.0067로 거의 수평에 가깝게 나타나게 된다. 이 기울기 값은 평상 모드에서의 패턴 데이터로서 저장된다. 물론 평상 체온 부근에서도 다양한 온도 분포가 나타날 수 있으므로 평상 모드의 패턴도 여러 가지로 저장될 수 있다.Doing office work indoors, reading books, watching TV, etc., most of the day belongs to this, at this time there is little change in body temperature. In this case, as shown in (a) of FIG. 3, the body temperature data measured during the 60 minute time interval is distributed around 36.5 ° C., which is the normal body temperature, so that the inclination value is almost flat at 0.0067. This slope value is stored as pattern data in the normal mode. Of course, since a variety of temperature distributions may appear even around the normal body temperature, the pattern of the normal mode may be stored in various ways.
(2) 운동 모드 (2) exercise mode
달리기와 같은 운동을 시작하거나, 더운 여름철에 실외에서 이동하는 경우에는 일정 시간 간격 내에서 체온이 지속적으로 상승하게 된다. 이 경우에는 도 3의 (b)와 같이 60분의 시간 간격 동안에 측정된 체온 데이터가 36.5℃에서 38.5℃로 상승하여 0.033의 기울기 값으로 나타내게 된다. 이 기울기 값은 운동 모드에서의 패턴 데이터로서 저장된다. 만약 운동을 너무 급격하게 하여 체온 상승의 기울기 값이 미리 정해진 패턴에서 벗어나거나 절대적 상한치를 초과하는 경우에는 1 ~ 2회 경고음을 발생시킴으로써 자신의 능력에 맞는 운동을 할 수 있도록 해준다. 한편, 운동을 시작한 후 일정 시간이 경과하면 높은 체온이 유지되고, 운동이 끝나면 체온이 서서히 감소하게 된다. 따라서, 운동 모드의 패턴도 여러 가지로 저장될 수 있다.If you start an exercise, such as running, or move outdoors in the hot summer, your body temperature will continue to rise within a certain time interval. In this case, as shown in (b) of FIG. 3, the body temperature data measured during the 60 minute time interval increases from 36.5 ° C. to 38.5 ° C. and is represented by a slope value of 0.033. This slope value is stored as pattern data in the exercise mode. If the exercise is so rapid that the slope of body temperature rises out of a predetermined pattern or exceeds an absolute upper limit, it will beep once or twice to allow you to exercise according to your ability. On the other hand, after a certain period of time after starting the exercise, a high body temperature is maintained, and after the exercise the body temperature is gradually reduced. Therefore, the pattern of the exercise mode may also be stored in various ways.
(3) 수면 모드(3) sleep mode
사람이 수면에 들어가면 약 4시간 이후부터 서서히 체온이 내려가기 시작하고 아침이 되면 체온이 다시 올라가 정상 체온으로 복귀하게 된다. 따라서, 수면 중의 일정 시간 간격에는 도 3의 (c)에서 보는 바와 같이 초기에는 음의 기울기 값(-0.021)을 가지다가 말기에는 양의 기울기 값(0.015)을 가진다. 이와 같이, 상기 기울기 값은 일정 시간 간격 내에 2개 이상의 값을 가질 수 있으며, 이는 하나의 패턴 데이터 배열로 저장된다. When a person goes to sleep, the body temperature begins to gradually decrease after about 4 hours, and in the morning, the body temperature rises again to return to normal body temperature. Therefore, as shown in (c) of FIG. 3 at a predetermined time interval during sleep, it has a negative slope value (-0.021) at the beginning and a positive slope value (0.015) at the end. As such, the slope value may have two or more values within a predetermined time interval, which are stored in one pattern data array.
(4) 고열 또는 저열 모드(4) high or low heat mode
질병이나 갑작스런 응급 사태가 발생하게 되면 위의 정상 모드(평상 모드, 운동 모드, 수면 모드)와 비교하여 체온의 변화가 급격하게 발생하게 된다. 실시간으로 측정한 체온 데이터가 급격한 기울기 값을 가지는 경우, 다시 말해 절대적 상한치를 초과하거나 정상 패턴 데이터와 일치하지 않는 경우에는 지속적으로 경고음을 발생시킴으로써 사용자가 쓰러지거나 의식을 잃기 전에 자신의 건강 상태를 체크할 수 있게 한다. When a disease or sudden emergency occurs, the change in body temperature occurs abruptly compared to the normal mode (normal mode, exercise mode, and sleep mode). If the temperature data measured in real-time has a sharp slope value, that is, if the absolute upper limit value is exceeded or if it does not match the normal pattern data, a continuous beep is sounded to check the user's health condition before falling down or losing consciousness. Make it possible.
도 4는 메모리부(50)에 상기한 패턴 데이터와 체온 데이터가 저장된 일 실시예를 나타낸다. 메모리부(50)는 패턴 데이터 저장영역(52)과 체온 데이터 저장영역(54)으로 구분되고 상호 독립적으로 할당된다. 4 illustrates an embodiment in which the pattern data and the temperature data are stored in the memory unit 50. The memory unit 50 is divided into a pattern data storage area 52 and a temperature data storage area 54 and assigned independently of each other.
상기 패턴 데이터 저장영역(52)에는 패턴번호, 기울기 값, 태그값으로 된 하나의 패턴 데이터 배열이 저장된다. 이 때, 상기 기울기 값으로 된 패턴 데이터 중 이전에 저장된 패턴 데이터와 중복되는 경우에는 다시 저장하지 아니하고, 중복되지 않는 것만을 새로운 패턴 데이터로 저장한다. 그 결과, 비록 10 시간 크기의 패턴 데이터라 하더라도 10일 이상의 체온 변화 패턴을 나타낼 수 있다. 다만, 이전에 저장된 패턴 데이터와 중복되지 않는 경우에도 신체 이상을 나타내는 패턴인 경우에는 저장하지 아니한다. The pattern data storage area 52 stores one pattern data array including a pattern number, a slope value, and a tag value. In this case, when the pattern data having the gradient value is overlapped with previously stored pattern data, the data is not stored again, and only the non-overlapping pattern data is stored as new pattern data. As a result, even if the pattern data of the size of 10 hours, it may exhibit a temperature change pattern of 10 days or more. However, even if it is not duplicated with previously stored pattern data, it is not stored in the case of a pattern representing a body abnormality.
상기 태그값은 하나의 패턴 데이터가 가지는 속성을 나타낸다. 도 4에는 각각의 패턴 데이터가 생성된 시각 정보를 태그값으로 저장하는 일 실시예가 도시되어 있다. 이와 같이 패턴 데이터 배열에 시각 정보를 함께 저장하면 체온 데이터와 패턴 데이터를 비교하는 알고리즘을 만드는데 유용한 정보로 활용할 수 있다. 예를 들어, 상기 시각 정보를 이용하여 패턴 데이터를 계절별로 분류한 후, 여름철에 측정된 체온 데이터는 여름철에 생성된 패턴 데이터들과 비교하도록 함으로써 판단에 소요되는 시간을 절감할 수 있다. 즉, 응급 사태 등과 같이 급박한 상황을 신속하게 판단하고 경고음을 발생시킬 수 있어 장치의 신뢰성을 더욱 향상시킬 수 있다. The tag value represents an attribute of one pattern data. FIG. 4 is a diagram for one embodiment of storing time information at which each pattern data is generated as a tag value. When visual information is stored together in the pattern data array as described above, it can be used as useful information for making an algorithm for comparing body temperature data and pattern data. For example, after classifying pattern data by season using the time information, body temperature data measured in summer may be compared with pattern data generated in summer to reduce time required for determination. That is, it is possible to quickly determine an urgent situation such as an emergency and generate a warning sound to further improve the reliability of the device.
상기 체온 데이터 영역(54)은 실시간으로 측정되는 체온 데이터를 각 날짜별로 저장한다. 패턴 데이터가 기울기 값으로 저장된 경우 이와 비교하기 위하여 체온 데이터도 일정 시간 간격의 기울기 값으로 변환되지만, 체온 데이터 영역(54)에는 체온값 그대로 저장된다. 이는 체온 데이터를 외부 DB 장치로 전송하여 데이터 베이스화함으로써 유용한 건강 정보를 제공하는데 사용하기 위함이다. The temperature data area 54 stores temperature data measured in real time for each date. When the pattern data is stored as the slope value, the body temperature data is also converted to the slope value at a predetermined time interval in order to compare with this, but the body temperature data 54 is stored as it is. This is to use it to provide useful health information by transmitting body temperature data to an external DB device to make a database.
다른 실시예에 따르면, 체온 데이터가 정상 상태를 나타내는 경우, 다시 말해 패턴 데이터와 비교하여 일치하는 경우에는 도 5의 (a)와 같이 1분 간격으로 저장하는데, 이를 일반 데이터라 한다. 반면, 체온 데이터가 신체 이상 상태를 나타내는 경우, 다시 말해 패턴 데이터와 비교하여 일치하지 않는 경우에는 해당 데이터 블록에 확장 데이터임을 표시하고, 도 5의 (b)와 같이 별도의 데이터 영역을 할당하여 1초 간격으로 체온 데이터를 저장한다. 이는 신체 이상 상태에 관한 체온 데이터에 대해서는 되도록 많은 정보를 저장함으로써 더욱 유용한 건강 정보를 제공할 수 있도록 하기 위함이다. According to another embodiment, when the body temperature data indicates a normal state, that is, when the body temperature data is matched with each other compared with the pattern data, the body data is stored at 1 minute intervals as shown in FIG. On the other hand, if the body temperature data indicates an abnormal state of the body, that is, compared with the pattern data does not match, it indicates that the extended data in the corresponding data block, and allocates a separate data area as shown in (b) of FIG. Store body temperature data every second. This is to provide more useful health information by storing as much information as possible about the body temperature data regarding the abnormal state of the body.
마지막으로, 도 6을 참조로 본 발명에 따른 패턴 저장식 체온 관리방법을 간단히 설명한다.Finally, with reference to Figure 6 will be briefly described a pattern storage temperature management method according to the present invention.
기저귀, 속옷 등과 같이 신체에 밀착되는 의복에 장착된 센서부(20)를 통해 사용자의 체온을 실시간으로 측정한다(S10). 상기 측정된 체온 데이터를 이용하여 사용자의 체온 변화에 대한 패턴 데이터를 생성하여 저장한다(S30). 이러한 패턴 데이터의 생성 및 저장은 사용 초기의 패턴 생성 기간에 주로 이루어지고, 이 기간 동안에는 신체의 이상 여부에 대한 판단은 하지 아니한다(S20).The user's body temperature is measured in real time through the sensor unit 20 mounted on the garment which is in close contact with the body, such as a diaper or underwear (S10). Using the measured body temperature data, the user generates and stores pattern data on a change in body temperature (S30). The generation and storage of such pattern data is mainly performed in the pattern generation period of the initial use, and during this period, it is not determined whether the body is abnormal (S20).
이후에 측정된 체온 데이터를 상기 패턴 데이터와 비교하여 신체의 이상 유무를 판단하고(S40,S50), 상기 S50의 판단 결과, 기존 패턴 데이터와 일치하여 정상 상태인 경우에는 측정된 체온 데이터를 메모리부(50)에 저장한다(S60). 반면에 상기 S50의 판단 결과, 기존의 패턴 데이터와 모두 불일치한 경우에는 경고를 발생시켜 사용자의 주의를 환기시킨다(S70). Thereafter, the measured body temperature data is compared with the pattern data to determine whether there is an abnormality of the body (S40, S50). As a result of the determination of S50, when the body temperature is normal with the existing pattern data, the measured body temperature data is stored in the memory unit. Stored in 50 (S60). On the other hand, as a result of the determination in S50, if all of the existing pattern data is inconsistent, a warning is issued to alert the user (S70).
상기 경고를 발생시킨 상황은 다시 정상 상태의 체온 패턴이나 기존의 패턴 데이터에 동일한 체온 패턴이 없었던 경우와, 신체의 이상 상태로 인한 것인 경우로 구분된다. 이러한 판단은 경고음을 들은 사용자가 자신의 몸 상태를 파악하고 입력부(80)의 버튼을 통해 정상 상태임을 입력함으로써 이루어질 수도 있고, 다양한 임상 실험의 결과를 토대로 결정된 정상 체온 범위를 기준으로 판단할 수도 있다(S80). 이러한 S80 판단 결과, 기존에 없었던 정상 상태의 체온 패턴인 경우에는 새로운 패턴 데이터를 생성하여 저장한다(S90). The situation in which the warning is generated is further classified into a case in which the normal temperature pattern or the existing pattern data does not have the same temperature pattern, and a case due to an abnormal state of the body. This determination may be made by the user listening to the warning sound and inputting the normal state through the button of the input unit 80, or may be determined based on the normal temperature range determined based on the results of various clinical trials. (S80). As a result of the determination of the S80, in the case of the temperature pattern of the normal state that did not exist previously, new pattern data is generated and stored (S90).
이 S90 단계를 통해 상기 패턴 생성 기간이 도과한 후에도 기존의 패턴 데이터와 중복되지 않는 새로운 패턴 데이터가 실시간으로 생성, 저장될 수 있다. 상기 S90의 판단 결과, 신체 이상 상태를 나타내는 체온 패턴인 경우에는 별도로 저장하지 아니한다. 다만, 신체 이상 상태의 체온 데이터는 도 5의 (b)를 참조로 설명한 바와 같이, 더욱 짧은 시간 간격으로 저장된다.Through the step S90, new pattern data which does not overlap with the existing pattern data may be generated and stored in real time even after the pattern generation period has elapsed. As a result of the determination in S90, in the case of the body temperature pattern indicating the abnormal state of the body, it is not stored separately. However, the body temperature data of the abnormal state of the body is stored at shorter time intervals, as described with reference to FIG.
한편, 상기 패턴 데이터 생성 및 저장 단계(S30, S90)는 일정 시간 간격 동안 측정된 다수개의 체온 데이터로부터 얻어지는 기울기 값을 패턴 데이터로 정할 수 있으며, 이에 대한 상세한 내용은 도 3을 참조로 설명한 바 있으므로 이를 참조한다. On the other hand, the step of generating and storing the pattern data (S30, S90) can be determined as the pattern data, the slope value obtained from a plurality of body temperature data measured for a predetermined time interval, since the details of this have been described with reference to FIG. See this.
본 발명은 특정한 실시예에 관련하여 도시하고 설명하였지만, 이하의 특허청구범위에 의해 제공되는 본 발명의 기술적 사상을 벗어나지 않는 한도 내에서, 본 발명이 다양하게 개량 및 변화될 수 있음은 당업계에 통상의 지식을 가진 자에 있어서 자명할 것이다.While the invention has been shown and described with respect to particular embodiments, it will be appreciated that various changes and modifications can be made in the art without departing from the spirit of the invention provided by the following claims. It will be self-evident for those of ordinary knowledge.

Claims (10)

  1. 신체의 일정 부위에 밀착되는 의복에 장착되어 체온을 지속적으로 측정, 관리하는 장치로서,It is a device that is mounted on clothes that adhere to a certain part of the body and continuously measures and manages body temperature.
    실시간으로 체온을 측정하는 센서부(20);Sensor unit 20 for measuring the body temperature in real time;
    상기 센서부(20)로부터 체온 데이터를 입력받고, 일정 시간 간격 내에 측정된 다수개의 체온 데이터로부터 얻어지는 기울기 값을 사용자의 체온 변화에 대한 패턴 데이터로 정하여 미리 생성하고, 이후에 측정된 체온 데이터를 상기 패턴 데이터와 비교하여 신체의 이상 유무를 판단하는 중앙 제어부(30);The body temperature data is input from the sensor unit 20, and a slope value obtained from a plurality of body temperature data measured within a predetermined time interval is defined as pattern data for a change in body temperature of the user, and the generated temperature data is subsequently generated. A central controller 30 that determines whether there is an abnormality of the body in comparison with the pattern data;
    상기 중앙 제어부(30)로부터 패턴 데이터와 체온 데이터를 전송받아 저장하는 메모리부(50); 및A memory unit 50 receiving and storing pattern data and body temperature data from the central controller 30; And
    상기 중앙 제어부(30)의 판단 결과, 신체의 이상이 발생한 경우에 경고 신호를 발생시키는 경고부(70);를 포함하는 패턴 저장식 체온 관리장치.And a warning unit (70) for generating a warning signal when an abnormality occurs in the body as a result of the determination of the central control unit (30).
  2. 청구항 1에 있어서,The method according to claim 1,
    상기 센서부(20)를 통해 측정된 체온 데이터 또는 상기 중앙 제어부(30)의 판단에 따른 결과치를 표시하는 디스플레이부(40)와, 사용자가 상기 디스플레이된 정보에 대한 인식 여부를 입력하는 입력부(80)를 더 포함하는 것을 특징으로 하는 패턴 저장식 체온 관리장치. The display unit 40 for displaying the body temperature data measured by the sensor unit 20 or the result value according to the determination of the central control unit 30, and the input unit 80 for inputting whether the user recognizes the displayed information. Pattern storage type temperature management apparatus further comprises a).
  3. 청구항 1 또는 청구항 2에 있어서,The method according to claim 1 or 2,
    상기 메모리부(50)에 저장된 패턴 데이터와 체온 데이터를 외부의 DB 서버(90)로 전송하는 통신부(60)를 더 포함하는 것을 특징으로 하는 패턴 저장식 체온 관리장치.And a communication unit (60) for transmitting the pattern data and the temperature data stored in the memory unit (50) to an external DB server (90).
  4. 청구항 1에 있어서,The method according to claim 1,
    상기 기울기 값은 일정 시간 간격 내에 2개 이상의 값을 가지는 것을 특징으로 하는 패턴 저장식 체온 관리장치.The slope value pattern storage temperature management apparatus, characterized in that having a value of two or more within a predetermined time interval.
  5. 청구항 1 또는 청구항 4에 있어서,The method according to claim 1 or 4,
    상기 중앙 제어부(30)는 상기 기울기 값으로 된 패턴 데이터 중 이전에 저장된 패턴 데이터와 중복되지 않는 것만을 새로운 패턴 데이터로 저장하는 것을 특징으로 하는 패턴 저장식 체온 관리장치.The central control unit (30) is a pattern storage temperature management apparatus, characterized in that for storing the new pattern data only that does not overlap with the previously stored pattern data of the pattern data of the slope value.
  6. 청구항 1에 있어서,The method according to claim 1,
    상기 패턴 데이터에는 패턴 데이터가 생성된 시각 정보를 태그값으로 더 포함하는 것을 특징으로 하는 패턴 저장식 체온 관리장치.The pattern data type temperature management apparatus, characterized in that the pattern data further comprises a time value at which the pattern data is generated as a tag value.
  7. 신체의 일정 부위에 밀착되는 의복에 장착된 센서부(20)를 통해 사용자의 체온을 실시간으로 측정하는 단계;Measuring the user's body temperature in real time through the sensor unit 20 mounted on the garment that is in close contact with a certain part of the body;
    상기 측정된 체온 데이터를 입력받고, 일정 시간 간격 동안 측정된 다수개의 체온 데이터로부터 얻어지는 기울기 값을 사용자의 체온 변화에 대한 패턴 데이터를 생성하여 저장하는 단계;Receiving the measured body temperature data, and generating and storing pattern data on a change in body temperature of a user from a gradient value obtained from a plurality of body temperature data measured during a predetermined time interval;
    이후에 측정된 체온 데이터를 상기 패턴 데이터와 비교하여 신체의 이상 유무를 판단하는 단계; 및Determining whether there is an abnormality of the body by comparing the measured body temperature data with the pattern data; And
    상기 판단 결과, 신체에 이상이 발생한 경우에 경고 신호를 발생시키는 단계;를 포함하는 패턴 저장식 체온 관리방법.And generating a warning signal when an abnormality occurs in the body as a result of the determination.
  8. 제7항에 있어서,The method of claim 7, wherein
    상기 패턴 데이터 생성 및 저장 단계는 일정한 패턴 생성 기간 내에 이루어지는 것을 특징으로 하는 패턴 저장식 체온 관리방법.The pattern data generation and storage step of the pattern storage type temperature management method, characterized in that made within a predetermined pattern generation period.
  9. 청구항 7에 있어서,The method according to claim 7,
    상기 신체의 이상 유무 판단 단계는 측정된 체온 데이터가 모든 패턴 데이터와 일치하지 않는 경우에 신체에 이상이 발생한 것으로 판단하는 것을 특징으로 하는 패턴 저장식 체온 관리방법.The abnormality determination step of the body pattern storage type temperature management method characterized in that it is determined that the abnormality occurred in the body when the measured body temperature data does not match all the pattern data.
  10. 청구항 7에 있어서,The method according to claim 7,
    상기 경고 신호 발생 단계는 경고가 발생된 체온 데이터에 의해 새로운 패턴 데이터를 생성하여 저장하는 단계를 더 포함하는 것을 특징으로 하는 패턴 저장식 체온 관리방법. The warning signal generating step may further include generating and storing new pattern data based on the body temperature data of which the warning has been generated.
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