Thursday, March 5, 2020

Compile a scientific report assessing the validity of the Bioharness heart rate monitoring system against a criterion measure. The WritePass Journal

Compile a scientific report assessing the validity of the Bioharness heart rate monitoring system against a criterion measure. Introduction Compile a scientific report assessing the validity of the Bioharness heart rate monitoring system against a criterion measure. ) Heart rate recovery is an indirect marker of autonomic function and could be included in a future study measuring post-activity heart rate. This would reflect the body’s capacity to respond to exercise, (Borresen and Lambert, 2007) providing a follow-up from the current study which merely measures real-time heart rate and allow for an integrated observation of the effects of exercise on the individual. A heart rate performance curve, which is non-linearly related to work load, can be used too if it can be shown to be fairly uniform upon validation of the heart rate turn point. This occurs at maximal lactate steady state, but has yet to be substantiated with data from large-scale studies.   (Hofmann and Pokan, 2010) A controlled velocity experiment for each individual could also have been conducted to better calibrate the Conconi graph, thereby allowing for the observation of a heart rate deflection point. In conclusion, this study has been shown to be inadequate in proving the reliability of the Bioharness as an effective heart rate monitoring device. More robust testing is needed before the Bioharness is recommended as an on-site testing equipment for sporting professionals. References BORRESEN, J. LAMBERT, M. I. 2007. Changes in heart rate recovery in response to acute changes in training load. Eur J Appl Physiol, 101, 503-11. BRAGE, S., BRAGE, N., FRANKS, P. W., EKELUND, U. WAREHAM, N. J. 2005. Reliability and validity of the combined heart rate and movement sensor Actiheart. Eur J Clin Nutr, 59, 561-70. BURKE, M. J. WHELAN, M. V. 1987. The accuracy and reliability of commercial heart rate monitors. Br J Sports Med, 21, 29-32. CAREY, D. 2008. A comparison of different heart rate deflection methods to predict the anaerobic threshold. european journal of sports science, 8, 315-323. DICKSTEIN, K., BARVIK, S., AARSLAND, T., SNAPINN, S. KARLSSON, J. 1990. A comparison of methodologies in detection of the anaerobic threshold. Circulation, 81, II38-46. GROSLAMBERT, A., GRAPPE, F., BERTUCCI, W., PERREY, S., GIRARD, A. J. ROUILLON, J. D. 2004. A perceptive individual time trial performed by triathletes to estimate the anaerobic threshold. A preliminary study. J Sports Med Phys Fitness, 44, 147-56. HOFMANN, P. POKAN, R. 2010. Value of the application of the heart rate performance curve in sports. Int J Sports Physiol Perform, 5, 437-47. RAO, R. P., DANDURAN, M. J., LOOMBA, R. S., DIXON, J. E. HOFFMAN, G. M. 2012. Near-infrared spectroscopic monitoring during cardiopulmonary exercise testing detects anaerobic threshold. Pediatr Cardiol, 33, 791-6. TECHNOLOGIES, Z. 2011. Application notes and white papers [Online]. Available: zephyr-technology.com/resources/whitepapers [Accessed 2 June 2012. WELK, G. 2002. Physical Activity Assessment for Health-Related Research, USA, Human Kinetics Publishers. WELTMAN, A. 1995. The blood lactate response to exercise, Champaign, Illingworth, R. WOLFE, B. L., LEMURA, L. M. COLE, P. J. 2004. Quantitative analysis of single- vs. multiple-set programs in resistance training. J Strength Cond Res, 18, 35-47.

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