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Abstract AI-Helper 아이콘AI-Helper

Increasing the oxidation of fat through exercise is the recommendable method for weight control. Preceding researches have proposed increase in the usage of fat during exercise in stabilized state and under maximum exertion through aerobic training. However, such researches require additional equipm...

주제어

AI 본문요약
AI-Helper 아이콘 AI-Helper

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제안 방법

  • This experiment was carried out at the Sports Medicine Laboratory of the Wonju Medical College of the Yonsei University with 16 healthy males, and used Modified Bruce Protocol, which is one of the methods of exercise stress test methods that use treadmill. During the experiment, treadmill (TM55, Quinton) and respiratory gas analyzer (True One 2400, Parvo Medics) were used to acquire the data on the changes in the respiratory gas of the subjects at every 15-second interval, and oxygen intake, respiratory exchange rate, exercise intensity and heart rate among these were taken.
  • In order to obtain each parameter of LF & HF in the power spectrum acquired with AR model, value of the area was computed through integral calculus by setting the range of frequency.
  • In this paper, in order to detect the maximal fat oxidation point during exercise through changes in heart rate and LF & HF, we have checked the changes in fat oxidation amount through gas analysis during exercise, and have compared and validated the changes in fat oxidation amount through gas analysis of changes in heart rate and LF & HF.
  • In this study, we have used a interpolated RRI data for finding out the changes in heart rate has on the autonomic nervous system, and have detected the changes in Low Frequency (LF) area, the index which represents the activities of the sympathetic nerve and High Frequency (HF) area among parameters of HRV, which represents the activities of the parasympathetic nerve [12][16]. Here, we have set LF elements in a range of 0.
  • We have made a statistical analysis of the time value of maximal fat oxidation amount from the changes in fat oxidation amount detected through data obtained from gas analyzer on 16 subjects, and the time value of maximal fat oxidation amount detected through changes in heart rate and LF & HF proposed by this study.

대상 데이터

  • In this study, 16 experimental subjects were chosen among normal adult males who voluntarily wished to participate in the research. Subjects filled in the consent form along with explanations on the procedures of the experiment.
  • The signal measured from ECG measuring part was converted from Analog to Digital with 8 bit resolution 240Hz sampling frequency using Microcontroller (MSP340F1611) and the signal was sent to PC via bluetooth system, which is a wireless communication system.

데이터처리

  • In addition to that, we have checked that there was no difference in resulting values between two methods since it showed insignificant results with each significant probability was p=0.115 (>0.05), p=0.299 (>0.05) respectively as a result of making an analysis through Wilcoxon signed rank test.

이론/모형

  • Low frequency component of the heart rate changes for the signal that underwent re-sampling procedure by 3rd order polynomial approximation in this study in order to intercept signal distortion by low frequency component.
  • Similar to the analysis of time domain, signal with duration of 3 minutes was subjected to frequency analysis at every 10 second interval, and power spectrum was deduced in accordance with Auto Regression(AR) model by using the Burg method. Burg Method is one of minimum square deviation methods based on the method of minimizing deviation of frontal and rear aspect in the lattice structured Linear Predictor.
  • The detrend procedure removed the low frequency components from the original signal by applying 3rd order polynomial approximation method for the heart rate changes. Among these, the point at which the ratio of intervals of heart rate changes begins to correspond to more than 60% in the range from -0.
  • The ratio of energy source mobilized during exercise under steady state can be calculated using respiratory factor and Lusk Table, and in this study, we have come up with fat kilocalorie (Fkcal) using the ratio of respiratory exchange rate and Lusk Table with oxygen intake obtained from exercise stress test using Modified Bruce Protocol[9]. In other words, we were able to calculate the ratio of carbohydrates and fat used during exercise by measuring CO2 emission and oxygen intake during exercise.
  • Physical characteristics of the experimental subjects are given in the Table 1. This experiment was carried out at the Sports Medicine Laboratory of the Wonju Medical College of the Yonsei University with 16 healthy males, and used Modified Bruce Protocol, which is one of the methods of exercise stress test methods that use treadmill. During the experiment, treadmill (TM55, Quinton) and respiratory gas analyzer (True One 2400, Parvo Medics) were used to acquire the data on the changes in the respiratory gas of the subjects at every 15-second interval, and oxygen intake, respiratory exchange rate, exercise intensity and heart rate among these were taken.
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참고문헌 (22)

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  2. Baltmore Williams and Wiliins, "ACSM's guidelines for exercise testing and prescription 5th", American College of Sports Medicine, pp. 97-102, 1995. 

  3. E.M. Bennett, "Weight-loss practices of overweight adults", The American journal of clinical nutrition, Vol. 53, pp. 1519S-1521S, 1991. 

  4. G. Borg, "Perceived exertion as an indicator of somatic stress", Scandinavian journal of rehabilitation medicine, Vol. 2, pp. 92, 1970. 

  5. G.A. Brooks, "Amino acid and protein metabolism during exercise and recovery", Medicine & Science in Sports & Exercise, Vol. 19, pp. S157, 1987. 

  6. G.A. Brooks, J. Mercier, "Balance of carbohydrate and lipid utilization during exercise: The "crossover" concept", Journal of Applied Physiology, Vol. 76, pp. 2253-2261, 1994. 

  7. R.W. Bryner, R.A. Yeater, I.H. Rllrich, R.C. Toffle, "The effects of exercise intensity on body composition, weignt loss and dietary composition in women", Journal of the American College of Nutrition, Vol. 16, pp. 68-73, 1997. 

  8. B. Ekblom, A.N. Goldbarg, A. Kilom, P.O. Astrand, "Effect of atropine and propranolol on the oxygen transport system during exercise in man", Scandinavian Journal of Clinical & Laboratory Investigation, Vol. 30, pp. 35-42, 1972. 

  9. E. Ferrannini, "The theoretical basis of indirect calorimetry: A review", Metabolism, Vol. 37, pp. 287-301, 1988. 

  10. P. Gollnick, B. Saltin, "Fuel for muscular exercise: Role of fat", Exercise, nutrition and energy metabolism, pp. 72-87, 1988. 

  11. H.S. Kang, "Effect of Exercise Intensity on Autonomic Nerve System Activity during Acute Exercise", Exercise Science, Vol. 7, pp. 1-10, 1998. 

  12. A. Malliani, N. Montano, "Heart rate variability as a clinical tool", Italian heart journal: official journal of the Italian Federation of Cardiology, Vol. 3, pp. 439, 2002. 

  13. W.H. Martin, B.F. Dalsky, D.E. Hurley, D.M. Mathews, J.M. Bier, M.A. Hagberg, J.O. Holloszy, "Effect of endurance training on plasma free fatty acid turnover and oxidation during exercise", American Journal of Physiology-Endocrinology And Metabolism, Vol. 265, pp. E708-E714, 1993. 

  14. Y. Nakamura, Y. Yamamoto, I. Muraoka, "Autonomic control of heart rate during physical exercise and fractal dimension of heart rate variability", Journal of Applied Physiology, Vol. 74, pp. 875-881, 1993. 

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  16. T. Force, "Heart rate variability: standards of measurement, physiological interpretation and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology," Circulation, Vol. 93, pp. 1043-1065, 1996. 

  17. B.F. Robinson, S.E. Epstein, G.D. Beiser, E. Braunwald, "Control of heart rate by the autonomic nervous system. Studies in man on the interrelation between baroreceptor mechanisms and exercise", Circulation Research, Vol. 19, pp. 400-411, 1966. 

  18. J.A. Ronijn, E.F. Coyle, L.S. Sidossis, A. Gastaldelli, J.F. Horowitz, E. Endert, R.R. Wolfe, "Regulation of endogenour fat and carbohydrate metabolism in relation og exercise intensity and furation", American Journal of Physiology-Endocrinology And Metabolism, Vol. 265, pp. E380-E391, 1993. 

  19. L.B. Rowell, "Human cardiovascular control", Oxford University Press, USA, pp. 172-175, 1993. 

  20. N.V. Tsetsonis, A.E. Hardman, "Reduction in postprandial lipemia after walking influence of exercise intensity", Medicine & Science in Sports & Exercise, Vol. 28, pp. 1235, 1996. 

  21. Y. Yamamoto, R.L. Hughson, Y. Nakamura, "Autonomic nervous system response to exercise in relation to ventilator threshold", Chest, Vol. 105, pp. 206S-210S, 1992. 

  22. Y.S. Lee, D.K. Oh, "Comparison of Maximal Oxidation Exercise Intensity Between Ordinary College Students and Endurance Athletes", The Korean Journal of Physical Education, Vol. 39, pp. 467-475, 2000. 

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