Edwards, Karlee

Hutchison, Randolph

Humes, Kelly

Klapthor, Gibson

Knowles, Kristine

Mocko, Gregory

Vahidi, Ardalan

English

Furman University

ACKNOWLEDGEMENTS: Dr. Scott Murr, Dr. Ray MossCONTACT:karleeedwards20@gmail.com,rhutchis@gmail.com, kristine.knowles@furman.edukellyannhumes@gmail.com• Some cancer risks can be reduced by physical activity, but assessment is often self-reported and  imprecise.• Must establish individuals’ objective, quantitative, and predictive measures for non-invasive means of activity levels.Cycling is an effective model for activity assessment and this study is to demonstrates how 3 tests can determine an individual’s Anaerobic Work Capacity (AWC), the threshold between heavy and severe exercise known as Critical Power (CP), and the correlation between AWC expended (AWCexp) and changes to the torque-velocity curve (T-v). BackgroundProposed Model MethodsResultsConclusion Concurrent &Future ResearchReferencesDEPARTMENT OF HEALTH SCIENCES • FURMAN UNIVERSITYButtelli, O., Vandewalle, H., Jouanin, J. C., Seck, D., & Monod, H. (1997). Effects of aerobic exercise on the torque-velocity relationship inOccupational Physiology, 75(6), 499-503. ; Buttelli, O., Vandewalle, H., & Peres, G. (1996). The relationship between maximal power and maximal torque-velocity using an electronic ergometer. European Journal of Applied Physiology and Occupational Physiology, 73(5), 479-483.; Jones, A. M., Vanhatalo, A., Burnley, M., Morton, R. H., & Poole, D. C. (2010). Critical power: Implications for determination of V O2max and exercise tolerance cycling.European Journal of Applied Physiology and. Medicine and Science in Sports and Exercise, 42(10), 1876-1890.2004.Molnar Human Performance Laboratory Methods• Protocol to Determine Changes to the Torque Velocity Curve above Critical Power while Cycling (Kelly Humes)• Comparison of Threshold Determination between Blood Lactate Samples and Near Infrared Spectroscopy (NIRS) (Kristine Knowles)• Modeling of real-time power output based on wearable, non-invasive NIRS device (Clemson Univ.)CP6CPP 1 22 min   8-sec     4 min         8-sec    Figure 2. Sprint Protocol (After Initial Fresh Sprint Established)33% AWCexp67% AWCexpCPAWCPFigure 1. 3 Min-All-Out Protocol30 SecondsTime (3 Minutes)Figure 3. Effects of AWCexp on T-v CurveFresh  SprintFatigue  Sprint  1Fatigue  Sprint  2*p<.05Paired T-tests** ** *T/TmaxV/VmaxSubjects • Male (n=10) and female  (n=2) subjects, regularly trained cyclists or triathletes. Age (37.8 ± 11.6). Weight (72.7±16.2)V02 Ramp • Exercise at increasing powers until exhaustion.3 Min All-out• Exercise for a set time at “all-out” power. • CP=last 30 second average, AWC=“area under the curve”Sprints• 3 Separate T-v sprints, each at a different AWCexp fatigue levels based on predicted 6-min exhaustive power (CP6).Predicting the Expenditure of Anaerobic Work Capacity (AWCexp) based on Changes to the Torque-Velocity Curve Karlee Edwards: Collaboration with Dr. Randolph Hutchison¹, Kelly Humes¹, Gibson Klapthor¹, Kristine Knowles¹, Gregory Mocko², & Ardalan Vahidi²1 Department of Health Sciences, Furman University Molnar Lab 2 Department of Mechanical Engineering, Clemson UniversityFigure 1 represents the protocol used for the second day of testing. Literature has shown that an individual’s CP can be determined by a 3 min all-out sprint. Figure 2 represents the novel protocol used for the third day of testing. We predicted that using an individual’s CP6 for a fatigue interval power, 100% AWC would be expended.Funding: Furman INBREOur protocols can individualizeexercise prescription by determining the threshold between moderate and vigorous exercise.Potentially, at any moment in time, changes to the T-v curve during a 6-second sprint could determine a subject's state of fatigue or remaining AWC.Figure 3 represents the actual T-v curve. Each line is representative of the torque and velocity data for the corresponding sprint throughout the protocol. y = -0.136x + 0.9812 y = -0.2324x + 0.9552 y = -0.339x + 0.937500.20.40.60.811.20% 20% 40% 60% 80% 100% 120% 140%Figure 4. Effect of AWCexp on T/Tmax, V/Vmax, and Area under T-v curveT/TmaxV/VmaxArea/Max Area%AWCexpFigure 4 represents the correlation between AWCexp and T/Tmax, V/Vmax, and the area under the T-v curve.Pearson CorrelationSignificance**p<.01*p<.05T/Tmax, V/Vmax, Area/Max Area*R= -0.394 **R= -0.727 **R= -0.728

Predicting the Expenditure of Anaerobic Work Capacity (AWCexp) based on Changes to the Torque-Velocity Curve

Малахов, Максим Кириллович

Электронная библиотека БГУ

Физиологическая и молекулярно-биологическая характеристика белорусских изолятов Phytophthora infestans / Максим Кириллович Малахов; БГУ, Биологический факультет, Кафедра молекулярной биологии; научный руководитель Ходосовская А.М.

https://scholarexchange.furman.edu/cgi/viewcontent.cgi?article=1549&context=furmanengaged

Predicting the Expenditure of Anaerobic Work Capacity (AWCexp) based on Changes to the Torque-Velocity Curve

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Электронная библиотека БГУ