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Literature Citations

  • Ekkekakis, P., Lind, E., Hall, E.E., & Petruzzello, S.J. (2008). Do regression-based computer algorithms for determining the ventilatory threshold agree? Journal of Sports Sciences, 26(9), 967-976. [DOI] [PubMed]

  • Gallagher, C.A., Willems, M.E.T., Lewis, M.P., & Myers, S.D. (2014). Effect of acute normobaric hypoxia on the ventilatory threshold. European Journal of Applied Physiology, 114(8), 1555-1562. [DOI] [PubMed]

  • Sarivasiliou, H., Charalampidis, P., Rizos, S., Papadopoulos, S., Zafeiridis, A., Dipla, K., & Vrabas, I.S. (2009). Comparisons between computerized and visual detection methods for the determination of ventilatory threshold. Paper presented at the 17th International Congress of Physical Education and Sport. Democritus University of Thrace, May 22-24, 2009. Komotini, Greece. [PDF]

  • Zenko, Z., Ekkekakis, P., & Ariely, D. (2016). Can you have your vigorous exercise and enjoy it too? Ramping intensity down increases postexercise, remembered, and forecasted pleasure. Journal of Sport and Exercise Psychology, 38(2), 149-159. [DOI] [PubMed]

  • Zering, J.C., Brown, D.M.Y., Graham, J.D., & Bray, S.R. (2017). Cognitive control exertion leads to reductions in peak power output and as well as increased perceived exertion on a graded exercise test to exhaustion. Journal of Sports Sciences, 35(18), 1799-1807. [DOI] [PubMed]

  • Zuniga, J.M., Bubak, M.P., Fisher, B.E., Neighbors, D.E., Osowski, H.S., & Oyen, A.N. (2013). Electromyographic and gas exchange fatigue thresholds during incremental treadmill running. Journal of Athletic Medicine, 1(2), 98-109. [PDF]

  • Zuniga, J.M., Housh, T.J., Camic, C.L., Bergstrom, H.C., Schmidt, R.J., & Johnson, G.O. (2014). The effect of different exercise protocols and regression-based algorithms on the assessment of the anaerobic threshold. Journal of Strength and Conditioning Research, 28(9), 2507-2512. [DOI] [PubMed]

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