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Method for stabilogram characterization using angular-segment function

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Języki publikacji
EN
Abstrakty
EN
This paper presents a new approach to descriptions of stabilograms. In the proposed method, a one-dimensional angular-segment function is generated from the stabilographic trajectory data. This allows to reduce the data dimensionality and makes the analysis easier. Moreover, three methods of angular-segment function parameterization are also presented in this study. The obtained results confirm the usefulness of the proposed parameters for medical diagnoses.
Rocznik
Strony
391--397
Opis fizyczny
Bibliogr. 16 poz., rys., wykr., tab.
Twórcy
autor
  • Institute of Electronics, Silesian University of Technology, 16 Akademicka St., 44-100 Gliwice, Poland
autor
  • Institute of Electronics, Silesian University of Technology, 16 Akademicka St., 44-100 Gliwice, Poland
Bibliografia
  • [1] D.A. Winter, “Human balance and posture control during standing and walking”, Gait and Posture 3, 193-214 (1995).
  • [2] Z. Kidoń, “Digital signal processing of stabilographic signals” (“Cyfrowe przetwarzanie sygnałow stabilograficznych”), PhDThesis, Silesian University of Technology, Gliwice, 2003, (in Polish).
  • [3] D.A. Winter, Biomechanics and Motor Control of HumanMovement, Wiley, London, 2009.
  • [4] FB. Horak, “Clinical assessment of balance disorders”, Gaitand Posture 7, 76-84 (1997).
  • [5] M. Salavati, M.R. Hadian, and M. Mazaheri, “Test-retest reliabty of center of pressure measures of postural stability during quiet standing in a group with musculoskeletal disorders consisting of low back pain, anterior cruciate ligament injury and functional ankle instability”, Gait and Posture 29, 460-464 (2009).
  • [6] Z. Kidoń, D. Kania, J. Fiołka, and K. Pethe-Kania, “Stabilographic stand for diagnosis of patiens after a hip replacement surgery”, Electeronics - Constructions, Technologies, Applications 11, CD-ROM (2008), (in Polish).
  • [7] K. Pethe-Kania, Z. Kidoń, and D. Kania, “Modern method of the progress estimation in rehabilitation of patients after hip replacement surgery”, Rehabilitation 4, 41-44 (2007), (in Polish).
  • [8] K. Pethe-Kania, “Stabilography in the rehabilitation of patients after a hip replacement arthroplasty”, PhD Thesis, Medical University, Katowice, 2011, (in Polish).
  • [9] C.T. Zahn and R.Z. Roskies, “Fourier descriptors for plane closed curves”, IEEE Trans. Computers C-21 (3), 269-281 (1972).
  • [10] L. Baratto, P.G. Morasso, C. Re, and G. Spada, “A new look at posturographic analysis in the clinical context: sway-density vs. other parameterization techniques”, Motor Control 6 (3), 246-270 (2002).
  • [11] J.A. Raymakers, M.M. Samson, and H.J.J. Verhaar, “The assessment of body sway and the choice of the stability parameter( s)”, Gait and Posture 21, 48-58 (2005).
  • [12] M. Ferdjallah, G.F. Harris, and J.J.Wertch, “Instantaneous postural stability characterization using time-frequency analysis”, Gait and Posture 10, 129-134 (1999).
  • [13] J. Fiołka, “Postural stability analysis: a wavelet based approach”, Proc. Int. Conf. on Signals and Electronics Systems 1, CD-ROM (2010).
  • [14] J.J. Collins and C. De Luca, “Open-loop and closed-loop control of posture: a random-walk analysis of center-ofpressure trajectories”, Experimental Brain Research 95, 308-318 (1993).
  • [15] P. Flandrin, “Wavelet analysis and synthesis of fractional brownian motion”, IEEE Trans. on Information Theory 38 (2), CD-ROM (1992).
  • [16] P.S. Addison, The Illustrated Wavelet Transform Handbook, Institute of Physics Publishing, Bristol, 2002.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-678db3f4-d727-4ecc-9976-76264173e84f
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