Some content of this application is unavailable at the moment.
If this situation persist, please contact us atFeedback&Contact
1. (WO2017090805) METHOD AND DEVICE FOR DETERMINING SKELETAL MUSCLE CROSS-SECTIONAL AREA CALCULATION MODEL OF SUBJECT ON BASIS OF DEMOGRAPHIC FACTOR AND KINEMATIC FACTOR
Latest bibliographic data on file with the International Bureau

Pub. No.: WO/2017/090805 International Application No.: PCT/KR2015/012899
Publication Date: 01.06.2017 International Filing Date: 30.11.2015
IPC:
G06Q 50/22 (2012.01) ,G06Q 50/24 (2012.01)
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
Q
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
50
Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
10
Services
22
Health care, e.g. hospitals; Social work
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
Q
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
50
Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
10
Services
22
Health care, e.g. hospitals; Social work
24
Patient record management
Applicants:
부산대학교 산학협력단 PUSAN NATIONAL UNIVERSITY INDUSTRY-UNIVERSITY COOPERATION FOUNDATION [KR/KR]; 부산시 금정구 부산대학로63번길 2 (장전동, 부산대학교) (Jangjeon-dong, Pusan National University) 2, Busandaehang-ro 63beon-gil, Geumjeong-gu Busan 46241, KR
Inventors:
이창형 LEE, Chang Hyung; KR
최영아 CHOI, Young A; KR
김철민 KIM, Cheol Min; KR
정덕영 JUNG, Duk Young; KR
김병철 KIM, Byoung Chul; KR
신명준 SHIN, Myung Jun; KR
Agent:
김성현 KIM, Sung-Hyun; KR
Priority Data:
10-2015-016643826.11.2015KR
Title (EN) METHOD AND DEVICE FOR DETERMINING SKELETAL MUSCLE CROSS-SECTIONAL AREA CALCULATION MODEL OF SUBJECT ON BASIS OF DEMOGRAPHIC FACTOR AND KINEMATIC FACTOR
(FR) PROCÉDÉ ET DISPOSITIF POUR DÉTERMINER UN MODÈLE DE CALCUL D’AIRE DE SECTION TRANSVERSALE DE MUSCLE SQUELETTIQUE D’UN SUJET SUR LA BASE D’UN FACTEUR DÉMOGRAPHIQUE ET D’UN FACTEUR CINÉMATIQUE
(KO) 인구통계학적 요소 및 운동학적 요소를 기반으로 피험자의 골격근 단면적 산출 모델을 결정하는 방법 및 장치
Abstract:
(EN) Disclosed are a method and a device for determining a skeletal muscle cross-sectional area calculation model of a subject on the basis of a demographic factor and a kinematic factor. The method comprises: a step of dividing a population of subjects into a modeling population for determining a calculation model and a verification population for verifying an acquired calculation model; a step of calculating a skeletal muscle cross-sectional area of subjects belonging to the population; a step of determining a demographic factor of subjects belonging to the modeling population, and applying a regression analysis method to the determined demographic factor so as to acquire a demographic model for calculating a skeletal muscle cross-sectional area of the subjects from the demographic factor; a step of determining a kinematic factor of the subjects belonging to the modeling population, and applying the regression analysis method to the determined kinematic factor so as to acquire a kinematic model for calculating the skeletal muscle cross-sectional area of the subjects from the kinematic factor; a step of estimating the skeletal muscle cross-sectional area by applying , to the acquired demographic model and kinematic model, a demographic factor and a kinematic factor of subjects belonging to the verification population; and a verification step of verifying the demographic model and the kinematic model by comparing the estimated skeletal muscle cross-sectional area with the calculated skeletal muscle cross-sectional area. According to the present invention, a demographic model and a kinematic model can be defined so as to predict average muscular figures of target groups having acquirable demographic information and sharing similar characteristics .
(FR) La présente invention concerne un procédé et un dispositif pour déterminer un modèle de calcul d’aire de section transversale de muscle squelettique d’un sujet sur la base d’un facteur démographique et d’un facteur cinématique. Le procédé comprend : une étape de division d’une population de sujets en une population de modélisation pour déterminer un modèle de calcul et une population de vérification pour vérifier un modèle de calcul acquis ; une étape de calcul d’une aire de section transversale de muscle squelettique de sujets appartenant à la population ; une étape de détermination d’un facteur démographique de sujets appartenant à la population de modélisation, et l’application d’un procédé d’analyse de régression au facteur démographique déterminé de manière à acquérir un modèle démographique pour calculer une aire de section transversale de muscle squelettique des sujets à partir du facteur démographique ; une étape de détermination d’un facteur cinématique des sujets appartenant à la population de modélisation, et l’application du procédé d’analyse de régression au facteur cinématique déterminé de manière à acquérir un modèle cinématique pour calculer l’aire de section transversale de muscle squelettique des sujets à partir du facteur cinématique ; une étape d’estimation de l’aire de section transversale de muscle squelettique par application, au modèle démographique et au modèle cinématique acquis, d’un facteur démographique et d’un facteur cinématique de sujets appartenant à la population de vérification ; et une étape de vérification pour vérifier le modèle démographique et le modèle cinématique par comparaison de l’aire de section transversale de muscle squelettique estimée à l’aire de section transversale muscle squelettique calculée. Selon la présente invention, un modèle démographique et un modèle cinématique peuvent être définis de manière à prédire des paramètres musculaires moyens de groupes cibles ayant des informations démographiques pouvant être acquises et partageant des caractéristiques similaires.
(KO) 인구통계학적 요소 및 운동학적 요소를 기반으로 피험자의 골격근 단면적 산출 모델을 결정하는 방법 및 장치가 개시된다. 이러한 방법은, 피험자의 모집단을 상기 산출 모델을 결정하기 위한 모델링 모집단 및 획득된 산출 모델을 검증하기 위한 검증 모집단으로 분할하는 단계; 상기 모집단에 속하는 피험자들의 골격근 단면적을 계산하는 단계; 상기 모델링 모집단에 속한 피험자의 인구통계학적 요소를 결정하고, 결정된 인구통계학적 요소에 회귀분석 기법을 적용하여 상기 인구통계학적 요소로부터 상기 피험자들의 골격근 단면적을 산출하기 위한 인구통계학적 모델을 획득하는 단계; 상기 모델링 모집단에 속한 피험자의 운동학적 요소를 결정하고, 결정된 운동학적 요소에 회귀분석 기법을 적용하여 상기 운동학적 요소로부터 상기 피험자들의 골격근 단면적을 산출하기 위한 운동학적 모델을 획득하는 단계; 획득된 인구통계학적 모델 및 운동학적 모델에 상기 검증 모집단에 속한 피험자의 인구통계학적 요소 및 운동학적 요소를 적용하여 골격근 단면적을 추정하는 단계; 및 추정된 골격근 단면적을 계산된 골격근 단면적과 비교하여 상기 인구통계학적 모델 및 상기 운동학적 모델을 검증하는 검증 단계를 포함한다. 본 발명에 의하여 획득가능한 인구통계적 정보를 가지고 비슷한 특징을 공유하는 대상자 그룹의 평균 근육 수치를 예측하도록 인구통계학적 모델 및 운동학적 모델을 정의할 수 있다.
front page image
Designated States: AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IR, IS, JP, KE, KG, KN, KP, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW
African Regional Intellectual Property Organization (ARIPO) (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, UG, ZM, ZW)
Eurasian Patent Organization (AM, AZ, BY, KG, KZ, RU, TJ, TM)
European Patent Office (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR)
African Intellectual Property Organization (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, KM, ML, MR, NE, SN, TD, TG)
Publication Language: Korean (KO)
Filing Language: Korean (KO)