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      KCI등재

      트레드밀 보행 시 단일 3축 가속도센서를 사용한 대사에너지 소모량 예측 = Prediction of energy expenditure from a tri-axial accelerometer during treadmill walking

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      https://www.riss.kr/link?id=A101119755

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      다국어 초록 (Multilingual Abstract)

      The purpose of this study was to investigate the relevance of the prediction equations derived from the relationship between metabolic energy expenditure and kinetic energy, for different speeds of walking and running over the treadmill. Seven male subjects participated in this study. A tri-axial accelerometer was attached on between the left and right posterior superior iliac spines. Kinetic energy was calculated by the integration of acceleration data and compared with the metabolic energy measured by a gas analyzer. Correlation coefficients were determined to find a relationship between the kinetic energy and the metabolic energy expenditure. Also, the difference between measured and predicted values was used to find the relevance for individual and group equations. Results showed a relatively good correlation between the measured metabolic energy and the calculated kinetic energy. In addition, a dramatic increase in kinetic energy was observed at the transition speed of walking and running (6 km/h). There was no difference in how to predict the kinetic energy expenditure for individual and group even though people have different physical characteristics. This study would be useful to predict metabolic energy expenditures by the regression analysis with acceleration data.
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      The purpose of this study was to investigate the relevance of the prediction equations derived from the relationship between metabolic energy expenditure and kinetic energy, for different speeds of walking and running over the treadmill. Seven male su...

      The purpose of this study was to investigate the relevance of the prediction equations derived from the relationship between metabolic energy expenditure and kinetic energy, for different speeds of walking and running over the treadmill. Seven male subjects participated in this study. A tri-axial accelerometer was attached on between the left and right posterior superior iliac spines. Kinetic energy was calculated by the integration of acceleration data and compared with the metabolic energy measured by a gas analyzer. Correlation coefficients were determined to find a relationship between the kinetic energy and the metabolic energy expenditure. Also, the difference between measured and predicted values was used to find the relevance for individual and group equations. Results showed a relatively good correlation between the measured metabolic energy and the calculated kinetic energy. In addition, a dramatic increase in kinetic energy was observed at the transition speed of walking and running (6 km/h). There was no difference in how to predict the kinetic energy expenditure for individual and group even though people have different physical characteristics. This study would be useful to predict metabolic energy expenditures by the regression analysis with acceleration data.

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      참고문헌 (Reference)

      1 송윤미, "신체활동량 및 에너지 소비량 추정 방법" 한국코칭능력개발원 7 (7): 159-168, 2005

      2 국민보험관리공단, "비만도 조사"

      3 이병일, "게이트 심근 SPECT 분석 소프트웨어의 개발과 좌심실 수축 기능 평가" 대한핵의학회 37 (37): 73-82, 2003

      4 강동원, "가속도계의 부착위치에 따른 에너지 소비량의 예측 정확도에 관한 연구" 한국운동역학회 19 (19): 179-186, 2009

      5 Anderssen, S. A, "Physical activity - a crucial factor in the prevention of cardiovascular diseases" 120 (120): 3168-3172, 2000

      6 K. Y. Chen, "Improving energy expenditure estimation by using a triaxial accelerometer" 83 : 2112-2122, 1997

      7 J. H. Choi, "Estimation of activity energy expenditure : accelerometer approach" 2005

      8 Marco Traballesi, "Energy cost of walking measurements in subjects with lower limb amputations : A comparison study between floor and treadmill test" 26 : 70-75, 2008

      9 A. Nilsson, "Comparison of equations for predicting energy expenditure from accelerometer counts in children" 18 : 643-650, 2008

      10 Y. J. Jang, "An wearable energy expenditure analysis system based on the 15-channel whole-body segment acceleration measurement" 2005

      1 송윤미, "신체활동량 및 에너지 소비량 추정 방법" 한국코칭능력개발원 7 (7): 159-168, 2005

      2 국민보험관리공단, "비만도 조사"

      3 이병일, "게이트 심근 SPECT 분석 소프트웨어의 개발과 좌심실 수축 기능 평가" 대한핵의학회 37 (37): 73-82, 2003

      4 강동원, "가속도계의 부착위치에 따른 에너지 소비량의 예측 정확도에 관한 연구" 한국운동역학회 19 (19): 179-186, 2009

      5 Anderssen, S. A, "Physical activity - a crucial factor in the prevention of cardiovascular diseases" 120 (120): 3168-3172, 2000

      6 K. Y. Chen, "Improving energy expenditure estimation by using a triaxial accelerometer" 83 : 2112-2122, 1997

      7 J. H. Choi, "Estimation of activity energy expenditure : accelerometer approach" 2005

      8 Marco Traballesi, "Energy cost of walking measurements in subjects with lower limb amputations : A comparison study between floor and treadmill test" 26 : 70-75, 2008

      9 A. Nilsson, "Comparison of equations for predicting energy expenditure from accelerometer counts in children" 18 : 643-650, 2008

      10 Y. J. Jang, "An wearable energy expenditure analysis system based on the 15-channel whole-body segment acceleration measurement" 2005

      11 American College of Sports Medicine, "ACSM's Resources for the Personal Trainer" 404-430, 2007

      12 Scott E. Crouter, "A novel method for using accelerometer data to predict energy expenditure" 100 : 1324-1331, 2006

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2027 평가예정 재인증평가 신청대상 (재인증)
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      2017-12-01 평가 등재후보로 하락 (계속평가) KCI등재후보
      2013-01-01 평가 등재 1차 FAIL (등재유지) KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2008-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2005-10-06 학술지명변경 외국어명 : 미등록 -> Joural of Biomedical Engineering Research KCI등재
      2005-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2004-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2003-01-01 평가 등재후보학술지 유지 (등재후보1차) KCI등재후보
      2002-01-01 평가 등재후보학술지 유지 (등재후보1차) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.08 0.08 0.12
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.11 0.09 0.307 0.04
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