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Research Articles

Influence of Accelerometer Placement and/or Heart Rate on Energy Expenditure Prediction during Uphill Exercise

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Pages 127-133 | Received 01 Apr 2016, Accepted 12 Feb 2017, Published online: 29 Aug 2017

REFERENCES

  • Bouchard, C., Antunes-Correa, L. M., Ashley, E. A., Franklin, N., Hwang, P. M., Mattsson, C. M., & Wheeler, M. T. (2015). Personalized preventive medicine: genetics and the response to regular exercise in preventive interventions. Progress in Cardiovascular Diseases, 57, 337–346.
  • Bouten, C. V., Koekkoek, K. T., Verduin, M., Kodde, R., & Janssen, J. D. (1997). A triaxial accelerometer and portable data processing unit for the assessment of daily physical activity. IEEE Transactions on Biomedical Engineering, 44, 136–147.
  • Brage, S., Brage, N., Franks, P. W., Ekelund, U., Wong, M. Y., Andersen, L. B., & Wareham, N. J. (2004). Branched equation modeling of simultaneous accelerometry and heart rate monitoring improves estimate of directly measured physical activity energy expenditure. Journal of Applied Physiology, 96, 343–351.
  • Crocq, M. A. (2003). Alcohol, nicotine, caffeine, and mental disorders. Dialogues Clinical Neuroscience, 5, 175–185.
  • Crouter, S. E., Albright, C., & Bassett, D. R. Jr. (2004). Accuracy of polar S410 heart rate monitor to estimate energy cost of exercise. Medicine and Science in Sports and Exercise, 36, 1433–1439.
  • Freedson, P. S., & Miller, K. (2000). Objective monitoring of physical activity using motion sensors and heart rate. Research Quarterly for Exercise and Sport, 71(2 Suppl), S21–29.
  • Hsieh, I. T., Chen, C. Y., Lin, Y. C., Li, J. Y., Lai, C. T., & Kuo, T. B. J. (2012, October). Application of cloud computing in physical activity research. Paper presented at the 2012 IEEE Sensors Conference, Taipei, Taiwan.
  • Karvonen, J., & Vuorimaa, T. (1988). Heart rate and exercise intensity during sports activities. Practical application. Sports Medicine, 5, 303–311.
  • Keytel, L. R., Goedecke, J. H., Noakes, T. D., Hiiloskorpi, H., Laukkanen, R., van der Merwe, L., & Lambert, E. V. (2005). Prediction of energy expenditure from heart rate monitoring during submaximal exercise. Journal of Sports Science, 23, 289–297.
  • Kuo, T. B. J., Chen, C. Y., Hsu, Y. C., & Yang, C. C. H. (2012). Performance of the frequency domain indices with respect to sleep staging. Clinical Neurophysiology, 123, 1338–1345.
  • Kuo, T. B. J., Hong, C. H., Hsieh, I. T., Lee, G. S., & Yang, C. C. H. (2014). Effects of cold exposure on autonomic changes during the last rapid eye movement sleep transition and morning blood pressure surge in humans. Sleep Medicine, 15, 986–997.
  • Minetti, A. E., Moia, C., Roi, G. S., Susta, D., & Ferretti, G. (2002). Energy cost of walking and running at extreme uphill and downhill slopes. Journal of Applied Physiology, 93, 1039–1046. https://doi.org/10.1152/japplphysiol.01177.2001
  • Montoye, H. J., Washburn, R., Servais, S., Ertl, A., Webster, J. G., & Nagle, F. J. (1983). Estimation of energy expenditure by a portable accelerometer. Medicine and Science in Sports and Exercise, 15, 403–407.
  • Nakahara, H., Ueda, S. Y., & Miyamoto, T. (2015). Low-frequency severe-intensity interval training improves cardiorespiratory functions. Medicine and Science in Sports and Exercise, 47, 789–798.
  • Padulo, J., Annino, G., Migliaccio, G. M., D'Ottavio, S., & Tihanyi, J. (2012). Kinematics of running at different slopes and speeds. Journal of Strength and Conditioning Research, 26, 1331–1339.
  • Plasqui, G., Bonomi, A. G., & Westerterp, K. R. (2013). Daily physical activity assessment with accelerometers: new insights and validation studies. Obesity Review, 14, 451–462.
  • Powell, K. E., Paluch, A. E., & Blair, S. N. (2011). Physical activity for health: What kind? How much? How intense? On top of what? Annual Review of Public Health, 32, 349–365.
  • Rayson, M. P., Davies, A., Bell, D. G., & Rhodes-James, E. S. (1995). Heart rate and oxygen uptake relationship: a comparison of loaded marching and running in women. European Journal of Applied Physiology and Occupational Physiology, 71, 405–408.
  • Rennie, K. L., Hennings, S. J., Mitchell, J., & Wareham, N. J. (2001). Estimating energy expenditure by heart-rate monitoring without individual calibration. Medicine and Science in Sports and Exercise, 33, 939–945.
  • Sandroff, B. M., Motl, R. W., & Suh, Y. (2012). Accelerometer output and its association with energy expenditure in persons with multiple sclerosis. Journal of Rehabilitation Research and Development, 49, 467–475.
  • Strath, S. J., Bassett, D. R. Jr., Swartz, A. M., & Thompson, D. L. (2001). Simultaneous heart rate-motion sensor technique to estimate energy expenditure. Medicine and Science in Sports and Exercise, 33, 2118–2123.
  • Terrier, P., Aminian, K., & Schutz, Y. (2001). Can accelerometry accurately predict the energy cost of uphill/downhill walking? Ergonomics, 44, 48–62.
  • Tikkanen, O., Karkkainen, S., Haakana, P., Kallinen, M., Pullinen, T., & Finni, T. (2014). EMG, heart rate, and accelerometer as estimators of energy expenditure in locomotion. Medicine and Science in Sports and Exercise, 46, 1831–1839.
  • Tsai, H. J., Kuo, T. B. J., Lee, G. S., & Yang, C. C. H. (2015). Efficacy of paced breathing for insomnia: enhances vagal activity and improves sleep quality. Psychophysiology, 52, 388–396. https://doi.org/10.1111/psyp.12333
  • Vaynman, S., Ying, Z., & Gomez-Pinilla, F. (2003). Interplay between brain-derived neurotrophic factor and signal transduction modulators in the regulation of the effects of exercise on synaptic-plasticity. Neuroscience, 122, 647–657.
  • Vernillo, G., Savoldelli, A., Pellegrini, B., & Schena, F. (2015). Validity of the SenseWear Armband to assess energy expenditure in graded walking. Journal of Physical Activity and Health, 12, 178–183. https://doi.org/10.1123/jpah.2013-0437
  • Wasserman, K., Whipp, B. J., Koyl, S. N., & Beaver, W. L. (1973). Anaerobic threshold and respiratory gas exchange during exercise. J Appl Physiol, 35, 236–243.
  • Yamazaki, T., Gen-No, H., Kamijo, Y., Okazaki, K., Masuki, S., & Nose, H. (2009). A new device to estimate VO2 during incline walking by accelerometry and barometry. Medicine and Science in Sports and Exercise, 41, 2213–2219.

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