Frequency Response Spectra Applied to Assess Efficiency of the Training Techniques

Abstract:

The purpose of the research is to assess the increase of the muscle strength and power. Movement of the human body when the moving one impacts a stationary or moving body is taken under consideration. The waveform produced by an impact is transformed into frequency domain. The acceleration record is transformed as a complex spectrum, by the use of a Discrete Fourier Transformation. In this paper the applications of the discrete Fourier transform is discussed and it was pointed out that it can be fruitfully applied to analyze movement techniques during competition or training exercises. The acceleration response spectrum contains knowledge about efficiency of certain techniques. It has distinct features which can show that the energy is concentrated around several discrete frequencies. Data from the shape of a frequency response spectra curve can provide the coach and the performer with valuable information on technique and also give information on recommendations with respect to corrections and adjustments that can lead to performance enhancement. In this paper, the technique of a database creation is proposed what allows us to establish a particular set of circumstances under a specified protocol to observe and evaluate the implications of the resulting observations.

• Periodical: Key Engineering Materials (Volume 597)
• Pages: 137-144
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.597.137
• Online since: December 2013
• Authors: Tomasz Kucharski
• Keywords: Discrete Fourier Transform, Impact Analysis, Kinematics, Muscle Strength

References

[1] R. Bracewell, The Fourier Transform and Its Application, McGraw-Hill, (1986).

[2] A. Cappozzo, U. Della Croce, A. Leardini, L. Chiari, Human movement analysis using stereophotogrammetry, Part 1: theoretical background, Gait & Post, 21, (2005) 186-196.

DOI: 10.1016/j.gaitpost.2004.01.010

[3] F. Casolo, G. Ruggieri, Dynamic analysis of the ball-racquet impact in the game of tennis, Meccanica 26, (1991) 67-73.

DOI: 10.1007/bf00429871

[4] J.W. Cooley, J.W. Tukey, An algorithm for the machine calculation of complex Fourier series, Math. Comput. 19, (1965) 297–301.

DOI: 10.1090/s0025-5718-1965-0178586-1

[5] T. R Derrick, J.A. Mercer, Ground/Foot Impacts: Measurement Attenuation, and Consequences, Med Sci Spo Exe, 34, (2003) 830-831.

[6] J. Hamill, K. M Knutzen, Biomechanical Basis of Human Movement, 2nd ed, Williams & Wilkins, Philadelphia, (2003).

[7] M. Jarrah, W. Qassem, M. Othman, M. Gdeisat,. Human body model response to mechanical impulse, Med. Eng. Phys., 19, (1997) 308-316.

DOI: 10.1016/s1350-4533(96)00081-1

[8] E. Atkinson Kendall, An Introduction to Numerical Analysis, 2nd ed, John Wiley & Sons, New York, (1989).

[9] T. Kucharski, Mechanical vibration measurement system, Wyd. N-T Warsaw, (2002).

[10] J. Watkins, Introduction to Biomechanics of Sport and Exercise, Elsevier Health Sciences Oxford, (2007).

[11] M.F. Zupan,.A.W. Arata, A. Wile, R. Parker, Visual adaptations to sports vision enhancement training, Optometry Today, 46, (2006) 43-48.