WO2013055184A1 - Procédé de calcul d'un cadre de bien-être et d'un indice de bien-être sur base xml - Google Patents

Procédé de calcul d'un cadre de bien-être et d'un indice de bien-être sur base xml Download PDF

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Publication number
WO2013055184A1
WO2013055184A1 PCT/KR2012/008395 KR2012008395W WO2013055184A1 WO 2013055184 A1 WO2013055184 A1 WO 2013055184A1 KR 2012008395 W KR2012008395 W KR 2012008395W WO 2013055184 A1 WO2013055184 A1 WO 2013055184A1
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WIPO (PCT)
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index
xml
well
biometric data
wellness
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PCT/KR2012/008395
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English (en)
Korean (ko)
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조위덕
박희정
김태윤
김진형
김양원
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아주대학교산학협력단
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Publication of WO2013055184A1 publication Critical patent/WO2013055184A1/fr

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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44Arrangements for executing specific programs
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2101/00Indexing scheme relating to the type of digital function generated
    • G06F2101/10Logarithmic or exponential functions

Definitions

  • the present invention relates to an XML-based wellness index framework and a well-being index calculation method, and more particularly, an XML-based wellness index framework for calculating well-being-related index information of a user from various biometric information of the user in a ubiquitous environment. And a wellness index calculation method.
  • the 'health portal site' As a way to check personal health information, access the online health support program (hereafter referred to as the 'health portal site'), enter some information directly on the checklist, and answer the limited contents of your health. Can be provided.
  • the online health support program hereafter referred to as the 'health portal site'
  • the personalized service cannot be expected because the health index service is provided only by answering a checklist provided by a specific portal site due to the limitation of providing a uniform information.
  • an apparatus or method for calculating personalized measurement indicators considering personal life patterns and environmental information in order to support personal well-being life care services is required as a source index for future smart home service system of ubiquitous society.
  • the technical problem to be achieved by the embodiments of the present invention is to quantify and present personal life patterns for well-being life care of individual members constituting a ubiquitous society through collecting and analyzing personal life habit data, An XML-based wellness index framework and a well-being index calculation method for monitoring are provided.
  • an input module for receiving a plurality of biometric information data;
  • An index calculator which defines a reference index of each of the biometric data as an independent tag based on XML, and calculates a wellness index by combining the independent tags;
  • an output module for outputting the wellness index.
  • the controller further comprises: a controller configured to initialize the biometric data or control the flow of biometric data defined by the independent tag.
  • the index calculation unit may further include a second XML-based independent tag defining a reference index of the second biometric data, or delete the at least one independent tag to calculate the wellness index.
  • the wellness index is obtained by multiplying a default value of at least one or more biometric data with different first weights and adding at least one multiplied result to obtain a plurality of first detail indices, and in each of the first detail indices. It is characterized by multiplying the second different weights and adding the multiplied results.
  • the bioinformation data is nutrition, family history, body mass index, depression, sleep satisfaction, stress, exercise, activity, smoking, eating out, drinking, diastolic blood pressure, systolic blood pressure, total cholesterol, triglycerides, high-density lipoprotein, blood sugar It features.
  • the first detailed index may be a health index, an emotional index, an exercise index, a preference index, and a bioindex.
  • the health index is calculated based on the nutrition, family history, and body mass index of the bioinformation data.
  • the emotional index is calculated based on the depression, the sleep satisfaction, and the stress.
  • the exercise index is calculated based on the exercise amount, the activity amount.
  • the preference index is calculated based on the smoking, the eating out, and the drinking.
  • the bioindex is calculated based on the diastolic blood pressure, the systolic blood pressure, the total cholesterol, the triglyceride, the high density lipoprotein, and the blood sugar.
  • the reference indicator is characterized in that the default value, the reference range and the weight of the reference range of the biometric information data.
  • XML-based wellness index calculation method for achieving the technical problem is an input step of receiving a plurality of biometric data; An index calculation step of defining a reference index of each biometric data as an independent tag based on XML and calculating a wellness index by combining the independent tags; And an output step of outputting the wellness index.
  • the method further comprises a control step of initializing the biometric data or controlling the flow of biometric data defined by the independent tag.
  • the index calculation step may further include a second XML-based independent tag defining a reference index of the second biometric data, or delete the at least one independent tag to calculate the wellness index.
  • the wellness index is obtained by multiplying a default value of at least one or more biometric data with different first weights and adding at least one multiplied result to obtain a plurality of first detail indices, and in each of the first detail indices. It is characterized by multiplying the second different weights and adding the multiplied results.
  • the bioinformation data is nutrition, family history, body mass index, depression, sleep satisfaction, stress, exercise, activity, smoking, eating out, drinking, diastolic blood pressure, systolic blood pressure, total cholesterol, triglycerides, high-density lipoprotein, blood sugar It features.
  • the first detailed index may be a health index, an emotional index, an exercise index, a preference index, and a bioindex.
  • the health index is calculated based on the nutrition, family history, and body mass index of the bioinformation data.
  • the emotional index is calculated based on the depression, the sleep satisfaction, and the stress.
  • the exercise index is calculated based on the exercise amount, the activity amount.
  • the preference index is calculated based on the smoking, the eating out, and the drinking.
  • the bioindex is calculated based on the diastolic blood pressure, the systolic blood pressure, the total cholesterol, the triglyceride, the high density lipoprotein, and the blood sugar.
  • the reference indicator is characterized in that the default value, the reference range and the weight of the reference range of the biometric information data.
  • the degree of well-being can be quantified in consideration of the user's personalized life patterns and habits, so that the individual's well-being level can be collectively monitored and monitored, There is an advantage that can be used as an indicator to induce habit changes.
  • the XML-based well-being index framework and well-being index calculation method of the present invention is built on the clinical background reflecting the personal data such as personal life patterns and health information, it is different from other index models and can provide accurate data There is this.
  • the XML-based well-being index framework and well-being index calculation method of the present invention it is easy to modify or change the well-being index calculation according to the characteristics of each individual by dividing the standard indicators of various biometric information of the individual by an independent tag and structured based on XML.
  • the advantage is that it can be done.
  • FIG. 1 is a diagram showing a schematic diagram of an XML-based wellness index framework configuration in the present invention.
  • FIG. 2 is a diagram illustrating an embodiment of an XML-based wellness index framework according to the present invention.
  • FIG. 3 is an embodiment of a diagram showing an input module, an output module of an XML-based well-being index according to the present invention.
  • FIG. 4 is a flowchart illustrating a method of calculating an XML-based wellness index according to the present invention.
  • FIG. 5 is a diagram illustrating an embodiment of a biometric data reference indicator defined by an independent tag according to the present invention.
  • FIG. 1 is a diagram showing a schematic diagram of an XML-based wellness index framework configuration in the present invention.
  • XML-based well-being index framework of the present invention comprises an input module 110, index calculation unit 120 and output module 130.
  • the input module 110 receives a plurality of biometric data.
  • biometric data examples include nutrition, family history, body mass index, depression, sleep satisfaction, stress, exercise, activity, smoking, eating out, drinking, diastolic blood pressure, systolic blood pressure, total cholesterol, triglycerides, high density lipoprotein, and blood sugar. have.
  • the index calculation unit 120 defines a reference index of each input biometric data as an independent tag based on XML, and calculates a wellness index by combining the independent tags.
  • the reference indicator includes a default value of the biometric data, a reference range, and a weight for the reference range.
  • the index calculator 120 may further include new biometric data defined as an XML-based independent tag or delete the biometric data defined by at least one independent tag to calculate a wellness index.
  • a feature of the framework of the present invention is that the reference index of each biometric data is defined as an independent tag, so that it is easy to modify the detailed index or the final well-being index calculation model.
  • the output module 130 outputs the calculated detailed index and the wellness index.
  • FIG. 2 is a diagram illustrating an embodiment of an XML-based wellness index framework according to the present invention.
  • the XML-based wellness index framework of the present invention may include a controller 230.
  • the controller 230 initializes the biometric data or controls the flow of the biometric data defined by the independent tag.
  • the index calculator 220 is divided into an indicator calculator, a subindex calculator, and a wellbeing index calculator.
  • the indicator calculator 220 calculates an indicator value based on a default value of biometric data predefined in XML and a weight to be applied to the default value.
  • the biometric data is nutrition
  • the default value is 30, and if the total calorie intake per day is 2000 to 2500 kilocalories, the characteristic weight is 1, otherwise the characteristic weight is 0.3.
  • the total calorie intake of an individual exceeds 2000-2500 kilocalories or is insufficient, the total weight of calorie intake per day will be less than that of the person between 2000-2500 kilocalories.
  • the subindex calculator calculates a detailed index by adding one or more index values calculated by the index calculator.
  • Embodiments of the detailed index defined in the framework of the present invention include a health index, emotional index, exercise index, preference index, biometrics.
  • Health index is calculated based on nutrition, family history, and body mass index in biometric data.
  • the emotional index is calculated based on depression, sleep satisfaction, and stress.
  • the exercise index is calculated based on the amount of exercise and activity.
  • the preference index is calculated based on smoking, eating out, and drinking.
  • the bioindex is calculated based on diastolic blood pressure, systolic blood pressure, total cholesterol, triglycerides, high density lipoprotein, and blood glucose.
  • the wellbeing index calculator is obtained by adding weights to the calculated detailed index again and then adding all the weighted detailed index values.
  • the wellness index is obtained by multiplying at least one or more pieces of biometric data with different first weights and adding at least one multiplied result to obtain a plurality of first sub-indexes.
  • Each of the first sub-indexes is multiplied by different second weights, and the multiplied result is added to obtain a final well-being index.
  • FIG. 3 is an embodiment of a diagram showing an input module, an output module of an XML-based well-being index according to the present invention.
  • the input module receives 16 biometric data.
  • the index calculation unit calculates the detailed index and the well-being index based on the input biometric data and outputs the calculated value.
  • the well-being index which is the final output value, is calculated from five sub-indexes, and each sub-index is obtained by applying weights to values corresponding to each region of the 16 biometric data and adding weighted values.
  • a feature of the framework of the present invention is that the reference index of each biometric information data is defined as an independent tag, so that it is easy to modify when calculating the detailed index or the final well-being index.
  • the health index which is a detailed index in the embodiment shown in Figure 3 is calculated based on nutrition, family history, body mass index, unlike shown in Figure 3 health index that is a detailed index by adding new bioinformation data
  • the newly modified health index can be calculated by adding an XML-defined independent tag to the biometric data reference indicator added as an independent tag without having to modify all the XML-based programs to calculate the.
  • FIG. 4 is a flowchart illustrating a method of calculating an XML-based wellness index according to the present invention.
  • XML-based wellness index calculation method of the present invention receives a plurality of biometric data (S410).
  • a reference index of each input biometric data is defined as an XML-based independent tag, and a well-being index is calculated by combining the defined independent tags (S420).
  • the wellness index is output (S430).
  • the XML-based wellness index calculation method of the present invention may include a control step of initializing the biometric data or controlling the flow of biometric data defined by an independent tag.
  • a well-being index may be calculated by further including a second XML-based independent tag defining a reference index of the second biometric information data or by deleting biometric data defined by at least one independent tag.
  • the wellness index is obtained by multiplying a default value of at least one or more of the bioinformation data with different first weights, adding at least one multiplied result to obtain a plurality of first detail indices, and different second weights for each first detail index. Multiply by and add up all the products.
  • biometric data examples include nutrition, family history, body mass index, depression, sleep satisfaction, stress, exercise, activity, smoking, eating out, drinking, diastolic blood pressure, systolic blood pressure, total cholesterol, triglycerides, high density lipoprotein, and blood sugar. .
  • the detailed index (320 of FIG. 3) may include, for example, a health index, an emotional index, an exercise index, a preference index, and a bioindex.
  • the health index is calculated based on nutrition, family history, and body mass index 330 of the biometric data.
  • the emotional index is calculated based on depression, sleep satisfaction, and stress 340.
  • the exercise index is characterized in that the calculation based on the amount of exercise, activity (350).
  • the preference index is calculated based on smoking, eating out, and drinking (360).
  • the bioindex is calculated based on diastolic blood pressure, systolic blood pressure, total cholesterol, triglycerides, high density lipoprotein, and blood sugar (370).
  • FIG. 5 is a diagram illustrating an embodiment of a biometric data reference indicator defined by an independent tag according to the present invention.
  • the biometric data when the biometric data is nutrition, the default value is 30, and when the total calorie intake per day is 2000 to 2500 kilocalories, the characteristic weight is 1, and the characteristic weight is 0.3. In other words, if the total calorie intake of an individual exceeds 2000-2500 kilocalories or is insufficient, the total weight of calorie intake per day will be less than that of the person between 2000-2500 kilocalories.
  • each of the 16 biometric information data is configured as an independent tag as shown in FIG. 5.
  • the detailed index is also composed of independent tags to calculate the final well-being index.
  • the present invention can be used in the field of managing the user's health by calculating the user's wellbeing index using the user's biometric information.

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Abstract

La présente invention concerne un procédé de calcul d'un cadre de bien-être et d'un indice de bien-être sur base XML, et plus particulièrement un procédé de calcul d'un cadre de bien-être et d'un indice de bien-être sur base XML qui permet de calculer une information d'indice relative au bien-être d'un utilisateur à partir de différentes informations biologiques sur ledit utilisateur dans un environnement omniprésent. Le procédé de calcul d'un cadre de bien-être et d'un indice de bien-être sur base XML selon l'invention présente l'avantage de pouvoir réaliser une modification ou un changement dans le calcul de l'indice de bien-être simplement en fonction de caractéristiques d'individus, par classification de différentes informations biologiques sur les individus au moyen d'étiquettes séparées et par organisation de celles-ci sur une base XML.
PCT/KR2012/008395 2011-10-14 2012-10-15 Procédé de calcul d'un cadre de bien-être et d'un indice de bien-être sur base xml WO2013055184A1 (fr)

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KR1020110105306A KR20130040494A (ko) 2011-10-14 2011-10-14 Xml 기반 웰빙 지수 프레임워크 및 웰빙 지수 산출 방법
KR10-2011-0105306 2011-10-14

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KR101851049B1 (ko) 2015-12-22 2018-05-11 주식회사 원소프트다임 생체 정보를 이용한 생체 지수 산출 방법 및 장치
RU2708368C1 (ru) * 2016-04-28 2019-12-05 Куинтессенсия Ллс. Система для оценки состояния здоровья, устройство для оценки состояния здоровья и способ для оценки состояния здоровья
KR102048426B1 (ko) * 2019-01-03 2020-01-08 (주)바이오인프라생명과학 사용자의 건강 상태에 대한 정보를 제공해 주는 웰니스 건강 다이어리를 제공하는 컴퓨팅 장치 및 그 방법

Citations (4)

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KR20010097952A (ko) * 2000-04-27 2001-11-08 성규영 감성기반을 이용한 개인 맞춤 서비스 방법
KR20090000117A (ko) * 2007-01-04 2009-01-07 박래웅 생활습관 데이터 분석을 통한 개인화 웰빙 인덱스 메트릭시스템
KR20100048348A (ko) * 2008-10-31 2010-05-11 주식회사 네오레떼 바이오리듬과 연계한 개인의 생각정보 표시시스템 및 방법
KR20100102963A (ko) * 2009-03-12 2010-09-27 아주대학교산학협력단 유비쿼터스환경에서의 웰빙라이프케어 인덱스 모델 제작 방법

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20010097952A (ko) * 2000-04-27 2001-11-08 성규영 감성기반을 이용한 개인 맞춤 서비스 방법
KR20090000117A (ko) * 2007-01-04 2009-01-07 박래웅 생활습관 데이터 분석을 통한 개인화 웰빙 인덱스 메트릭시스템
KR20100048348A (ko) * 2008-10-31 2010-05-11 주식회사 네오레떼 바이오리듬과 연계한 개인의 생각정보 표시시스템 및 방법
KR20100102963A (ko) * 2009-03-12 2010-09-27 아주대학교산학협력단 유비쿼터스환경에서의 웰빙라이프케어 인덱스 모델 제작 방법

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