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Volumn 105, Issue 11, 2011, Pages 1681-1691

Real-time estimation of daily physical activity intensity by a triaxial accelerometer and a gravity-removal classification algorithm

Author keywords

Accelerometry; Household activity; Locomotive activity; Metabolic equivalents; Non exercise activity thermogenesis

Indexed keywords

ACCELEROMETER; ACCURACY; ADULT; ARTICLE; CALORIMETRY; CLINICAL ASSESSMENT TOOL; CONTROLLED STUDY; ENERGY EXPENDITURE; EXERCISE INTENSITY; FEMALE; GRAVITY REMOVAL PHYSICAL ACTIVITY CLASSIFICATION ALGORITHM; HUMAN; HUMAN EXPERIMENT; MALE; METABOLIC RATE; NORMAL HUMAN; PHYSICAL ACTIVITY; SELF MONITORING; SITTING; TRIAXIAL ACCELEROMETER; VALIDATION PROCESS;

EID: 79958773480     PISSN: 00071145     EISSN: 14752662     Source Type: Journal    
DOI: 10.1017/S0007114510005441     Document Type: Article
Times cited : (312)

References (47)
  • 3
    • 0033534524 scopus 로고    scopus 로고
    • Role of nonexercise activity thermogenesis in resistance to fat gain in humans
    • Levine JA, Eberhardt NL & Jensen MD (1999) Role of nonexercise activity thermogenesis in resistance to fat gain in humans. Science 283, 212-214.
    • (1999) Science , vol.283 , pp. 212-214
    • Levine, J.A.1    Eberhardt, N.L.2    Jensen, M.D.3
  • 5
    • 0037915022 scopus 로고    scopus 로고
    • Methods for assessing physical activity and challenges for research
    • [GJ Welk, editor]. Champaign, IL: Human Kinetics Publishers
    • Dale D, Welk GJ & Matthews CE (2002) Methods for assessing physical activity and challenges for research. In Physical Activity Assessments for Health-related Research, pp. 19-34 [GJ Welk, editor]. Champaign, IL: Human Kinetics Publishers.
    • (2002) Physical Activity Assessments for Health-related Research , pp. 19-34
    • Dale, D.1    Welk, G.J.2    Matthews, C.E.3
  • 8
    • 28044467315 scopus 로고    scopus 로고
    • The technology of accelerometry-based activity monitors: Current and future
    • DOI 10.1249/01.mss.0000185571.49104.82
    • Chen KY & Bassett DR Jr (2005) The technology of accelerometry- based activity monitors: current and future. Med Sci Sports Exerc 37, S490-S500. (Pubitemid 41691812)
    • (2005) Medicine and Science in Sports and Exercise , vol.37 , Issue.11 SUPPL.
    • Chen, K.Y.1    Bassett Jr., D.R.2
  • 9
    • 28044434144 scopus 로고    scopus 로고
    • Conducting accelerometer-based activity assessments in field-based research
    • DOI 10.1249/01.mss.0000185657.86065.98
    • Trost SG, McIver KL & Pate RR (2005) Conducting accelerometer- based activity assessments in field-based research. Med Sci Sports Exerc 37, S531-S543. (Pubitemid 41691816)
    • (2005) Medicine and Science in Sports and Exercise , vol.37 , Issue.11 SUPPL.
    • Trost, S.G.1    Mciver, K.L.2    Pate, R.R.3
  • 11
    • 38349096171 scopus 로고    scopus 로고
    • A metaanalysis of pedometer-based walking interventions and weight loss
    • Richardson CR, Newton TL, Abraham JJ, et al. (2008) A metaanalysis of pedometer-based walking interventions and weight loss. Ann Fam Med 6, 69-77.
    • (2008) Ann Fam Med , vol.6 , pp. 69-77
    • Richardson, C.R.1    Newton, T.L.2    Abraham, J.J.3
  • 13
    • 0033817634 scopus 로고    scopus 로고
    • Validity of four motion sensors in measuring moderate intensity physical activity
    • Bassett DR Jr, Ainsworth BE, Swartz AM, et al. (2000) Validity of four motion sensors in measuring moderate intensity physical activity. Med Sci Sports Exerc 32, S471-S480.
    • (2000) Med Sci Sports Exerc , vol.32
    • Bassett Jr., D.R.1    Ainsworth, B.E.2    Swartz, A.M.3
  • 14
    • 20544465741 scopus 로고    scopus 로고
    • Calibration of accelerometer output for adults
    • DOI 10.1249/01.mss.0000185659.11982.3d
    • Matthews CE (2005) Calibration of accelerometer output for adults. Med Sci Sports Exerc 37, S512-S522. (Pubitemid 41691814)
    • (2005) Medicine and Science in Sports and Exercise , vol.37 , Issue.11 SUPPL.
    • Matthews, C.E.1
  • 15
    • 0033812751 scopus 로고    scopus 로고
    • A comparative evaluation of three accelerometry-based physical activity monitors
    • Welk GJ, Blair SN, Wood K, et al. (2000) A comparative evaluation of three accelerometry-based physical activity monitors. Med Sci Sports Exerc 32, S489-S497.
    • (2000) Med Sci Sports Exerc , vol.32
    • Welk, G.J.1    Blair, S.N.2    Wood, K.3
  • 16
    • 48749105828 scopus 로고    scopus 로고
    • Validity of physical activity intensity predictions by ActiGraph, Actical, and RT3 accelerometers
    • Rothney MP, Schaefer EV, Neumann MM, et al. (2008) Validity of physical activity intensity predictions by ActiGraph, Actical, and RT3 accelerometers. Obesity (Silver Spring) 16, 1946-1952.
    • (2008) Obesity (Silver Spring) , vol.16 , pp. 1946-1952
    • Rothney, M.P.1    Schaefer, E.V.2    Neumann, M.M.3
  • 17
    • 0031441072 scopus 로고    scopus 로고
    • Improving energy expenditure estimation by using a triaxial accelerometer
    • Chen KY & Sun M (1997) Improving energy expenditure estimation by using a triaxial accelerometer. J Appl Physiol 83, 2112-2122. (Pubitemid 28006517)
    • (1997) Journal of Applied Physiology , vol.83 , Issue.6 , pp. 2112-2122
    • Chen, K.Y.1    Sun, M.2
  • 18
    • 41349091477 scopus 로고    scopus 로고
    • A new 2-regression model for the Actical accelerometer
    • DOI 10.1136/bjsm.2006.033399
    • Crouter SE & Bassett DR Jr (2008) A new 2-regression model for the Actical accelerometer. Br J Sports Med 42, 217-224. (Pubitemid 351449147)
    • (2008) British Journal of Sports Medicine , vol.42 , Issue.3 , pp. 217-224
    • Crouter, S.E.1    Bassett Jr., D.R.2
  • 20
    • 44949236175 scopus 로고    scopus 로고
    • Accuracy of the Actiheart for the assessment of energy expenditure in adults
    • DOI 10.1038/sj.ejcn.1602766, PII 1602766
    • Crouter SE, Churilla JR & Bassett DR Jr (2008) Accuracy of the Actiheart for the assessment of energy expenditure in adults. Eur J Clin Nutr 62, 704-711. (Pubitemid 351803579)
    • (2008) European Journal of Clinical Nutrition , vol.62 , Issue.6 , pp. 704-711
    • Crouter, S.E.1    Churilla, J.R.2    Bassett Jr., D.R.3
  • 21
    • 33646370992 scopus 로고    scopus 로고
    • A novel method for using accelerometer data to predict energy expenditure
    • DOI 10.1152/japplphysiol.00818.2005
    • Crouter SE, Clowers KG & Bassett DR Jr (2006) A novel method for using accelerometer data to predict energy expenditure. J Appl Physiol 100, 1324-1331. (Pubitemid 43671491)
    • (2006) Journal of Applied Physiology , vol.100 , Issue.4 , pp. 1324-1331
    • Crouter, S.E.1    Clowers, K.G.2    Bassett Jr., D.R.3
  • 23
  • 24
    • 35348971908 scopus 로고    scopus 로고
    • An artificial neural network model of energy expenditure using nonintegrated acceleration signals
    • DOI 10.1152/japplphysiol.00429.2007
    • Rothney MP, Neumann M, Beziat A, et al. (2007) An artificial neural network model of energy expenditure using nonintegrated acceleration signals. J Appl Physiol 103, 1419-1427. (Pubitemid 47605982)
    • (2007) Journal of Applied Physiology , vol.103 , Issue.4 , pp. 1419-1427
    • Rothney, M.P.1    Neumann, M.2    Beziat, A.3    Chen, K.Y.4
  • 25
    • 34250652769 scopus 로고    scopus 로고
    • Triaxial accelerometry for assessment of physical activity in young children
    • Tanaka C, Tanaka S, Kawahara J, et al. (2007) Triaxial accelerometry for assessment of physical activity in young children. Obesity (Silver Spring) 15, 1233-1241. (Pubitemid 46932479)
    • (2007) Obesity , vol.15 , Issue.5 , pp. 1233-1241
    • Tanaka, C.1    Tanaka, S.2    Kawahara, J.3    Midorikawa, T.4
  • 27
    • 76749115122 scopus 로고    scopus 로고
    • Classifying household and locomotive activities using a triaxial accelerometer
    • Oshima Y, Kawaguchi K, Tanaka S, et al. (2010) Classifying household and locomotive activities using a triaxial accelerometer. Gait Posture 31, 370-374.
    • (2010) Gait Posture , vol.31 , pp. 370-374
    • Oshima, Y.1    Kawaguchi, K.2    Tanaka, S.3
  • 28
    • 43549107295 scopus 로고    scopus 로고
    • Twenty-four-hour analysis of elevated energy expenditure after physical activity in a metabolic
    • chamber: models of daily total energy expenditure
    • Ohkawara K, Tanaka S, Ishikawa-Takata K, et al. (2008) Twenty-four-hour analysis of elevated energy expenditure after physical activity in a metabolic chamber: models of daily total energy expenditure. Am J Clin Nutr 87, 1268-1276.
    • (2008) Am J Clin Nutr , vol.87 , pp. 1268-1276
    • Ohkawara, K.1    Tanaka, S.2    Ishikawa-Takata, K.3
  • 29
    • 8944256349 scopus 로고
    • New methods for calculating metabolic rate with special reference to protein metabolism
    • Weir JB (1949) New methods for calculating metabolic rate with special reference to protein metabolism. J Physiol 109, 1-9.
    • (1949) J Physiol , vol.109 , pp. 1-9
    • Weir, J.B.1
  • 30
    • 84908219488 scopus 로고
    • Statistical methods for assessing agreement between two methods of clinical measurement
    • PII S0140673686908378
    • Bland JM & Altman DG (1986) Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1, 307-310. (Pubitemid 16134762)
    • (1986) Lancet , vol.1 , Issue.8476 , pp. 307-310
    • Bland, J.M.1    Altman, D.G.2
  • 33
    • 0035967176 scopus 로고    scopus 로고
    • Pattern and intensity of physical activity
    • Westerterp KR (2001) Pattern and intensity of physical activity. Nature 410, 539. (Pubitemid 32267188)
    • (2001) Nature , vol.410 , Issue.6828 , pp. 539
    • Westerterp, K.R.1
  • 34
    • 77951465020 scopus 로고    scopus 로고
    • Refined tworegression model for the ActiGraph accelerometer
    • Crouter SE, Kuffel E, Haas JD, et al. (2010) Refined tworegression model for the ActiGraph accelerometer. Med Sci Sports Exerc 42, 1029-1037.
    • (2010) Med Sci Sports Exerc , vol.42 , pp. 1029-1037
    • Crouter, S.E.1    Kuffel, E.2    Haas, J.D.3
  • 35
    • 69749105447 scopus 로고    scopus 로고
    • Improving assessment of daily energy expenditure by identifying types of physical activity with a single accelerometer
    • Bonomi AG, Plasqui G, Goris AH, et al. (2009) Improving assessment of daily energy expenditure by identifying types of physical activity with a single accelerometer. J Appl Physiol 107, 655-661.
    • (2009) J Appl Physiol , vol.107 , pp. 655-661
    • Bonomi, A.G.1    Plasqui, G.2    Goris, A.H.3
  • 36
    • 70350115240 scopus 로고    scopus 로고
    • An artificial neural network to estimate physical activity energy expenditure and identify physical activity type from an accelerometer
    • Staudenmayer J, Pober D, Crouter S, et al. (2009) An artificial neural network to estimate physical activity energy expenditure and identify physical activity type from an accelerometer. J Appl Physiol 107, 1300-1307.
    • (2009) J Appl Physiol , vol.107 , pp. 1300-1307
    • Staudenmayer, J.1    Pober, D.2    Crouter, S.3
  • 37
    • 0141991322 scopus 로고    scopus 로고
    • Physical activity energy expenditure measured using a portable telemetric device in comparison with a mass spectrometer
    • DOI 10.1136/bjsm.37.5.445
    • Maiolo C, Melchiorri G, Iacopino L, et al. (2003) Physical activity energy expenditure measured using a portable telemetric device in comparison with a mass spectrometer. Br J Sports Med 37, 445-447. (Pubitemid 37260295)
    • (2003) British Journal of Sports Medicine , vol.37 , Issue.5 , pp. 445-447
    • Maiolo, C.1    Melchiorri, G.2    Iacopino, L.3    Masala, S.4    De Lorenzo, A.5
  • 41
    • 3343021881 scopus 로고    scopus 로고
    • Accuracy and reliability of a Cosmed K4b2 portable gas analysis system
    • Duffield R, Dawson B, Pinnington HC, et al. (2004) Accuracy and reliability of a Cosmed K4b2 portable gas analysis system. J Sci Med Sport 7, 11-22.
    • (2004) J Sci Med Sport , vol.7 , pp. 11-22
    • Duffield, R.1    Dawson, B.2    Pinnington, H.C.3
  • 42
    • 0036898278 scopus 로고    scopus 로고
    • 2 and the Deltatrac II™ metabolic cart in measuring resting energy expenditure in adults
    • DOI 10.1054/clnu.2002.0580
    • Littlewood RA, White MS, Bell KL, et al. (2002) Comparison of the Cosmed K4 b(2) and the Deltatrac II metabolic cart in measuring resting energy expenditure in adults. Clin Nutr 21, 491-497. (Pubitemid 35446848)
    • (2002) Clinical Nutrition , vol.21 , Issue.6 , pp. 491-497
    • Littlewood, R.A.1    White, M.S.2    Bell, K.L.3    Davies, P.S.W.4    Cleghorn, G.J.5    Grote, R.6
  • 45
    • 0025002290 scopus 로고
    • Metabolic equivalents (METS) in exercise testing, exercise prescription, and evaluation of functional capacity
    • Jette M, Sidney K & Blumchen G (1990) Metabolic equivalents (METS) in exercise testing, exercise prescription, and evaluation of functional capacity. Clin Cardiol 13, 555-565. (Pubitemid 20256072)
    • (1990) Clinical Cardiology , vol.13 , Issue.8 , pp. 555-565
    • Jette, M.1    Sidney, K.2    Blumchen, G.3
  • 46
    • 33845371616 scopus 로고    scopus 로고
    • Energy expenditure estimated by accelerometry and doubly labeled water: Do they agree?
    • DOI 10.1249/01.mss.0000235883.94357.95
    • Leenders NY, Sherman WM & Nagaraja HN (2006) Energy expenditure estimated by accelerometry and doubly labeled water: do they agree? Med Sci Sports Exerc 38, 2165-2172. (Pubitemid 44884828)
    • (2006) Medicine and Science in Sports and Exercise , vol.38 , Issue.12 , pp. 2165-2172
    • Leenders, N.Y.1    Sherman, W.M.2    Nagaraja, H.N.3
  • 47
    • 71249093008 scopus 로고    scopus 로고
    • A new device to estimate VO2 during incline walking by accelerometry and barometry
    • Yamazaki T, Gen-No H, Kamijo Y, et al. (2009) A new device to estimate VO2 during incline walking by accelerometry and barometry. Med Sci Sports Exerc 41, 2213-2219.
    • (2009) Med Sci Sports Exerc , vol.41 , pp. 2213-2219
    • Yamazaki, T.1    Gen-No, H.2    Kamijo, Y.3


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