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Correlation between linear and non-linear vibroartrographic parameters

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PL
Korelacja między liniowymi a nieliniowymi parametrami wibroartrograficznymi
Języki publikacji
EN
Abstrakty
EN
In this paper the authors compared linear and non-linear features of the vibroarthrogram (VAG) in knee joint context. There were 220 healthy participants in the study, divided into five age-related groups (third, fourth, fifth, sixth and seventh decade of life). Four linear features (i.e. variance of the mean squares, amplitude, and two frequency parameters) and two non-linear features (i.e. multi-scale entropy and recurrence rate) were correlated with each other. Correlations within linear and non-linear groups proved to be positive, while inter-group correlations turn out to be negative. Also, in the context of age differentiation, recurrence rate feature proved to be the most informative one.
PL
W niniejszej pracy autorzy porównali liniowe i nieliniowe cechy wibroartrogramu (VAG) w kontekście stawu kolanowego. W badaniuwzięło udział 220 zdrowych uczestników, podzielonych na pięć grup wiekowych (trzecia, czwarta, piąta, szósta i siódma dekadażycia). Cztery cechy˙ liniowe (tj. wariancja średnich kwadratów, amplituda i dwa parametry częstotliwości) oraz dwie cechy nieliniowe (tj. wieloskalowa entropia i częstość nawrotów) były ze sobą skorelowane. Korelacje w obrębie grup liniowych i nieliniowych okazały się dodatnie, natomiast korelacje międzygrupowe okazały się ujemne. Również w kontekście zróżnicowania wieku cecha częstości nawrotów okazała się najbardziej informatywna.
Rocznik
Strony
180--185
Opis fizyczny
Bibliogr. 32 poz., rys., tab.
Twórcy
  • Opole University of Technology, Faculty of Physical Education and Physiotherapy, Prószkowska 76, 45-758 Opole
  • Opole University of Technology, Faculty of Physical Education and Physiotherapy, Prószkowska 76, 45-758 Opole
autor
  • Opole University of Technology, Faculty of Electrical Engineering, Automatic Control and Informatics, Prószkowska 76, 45-758 Opole
  • Opole University of Technology, Faculty of Electrical Engineering, Automatic Control and Informatics, Prószkowska 76, 45-758 Opole
  • Opole University of Technology, Faculty of Electrical Engineering, Automatic Control and Informatics, Prószkowska 76, 45-758 Opole
Bibliografia
  • [1] M. Roser, E. Ortiz-Ospina, and H. Ritchie, “Life expectancy,” Our World in Data, 2013.
  • [2] D. Bączkowicz and K. Kręcisz, “Zastosowanie wibroartrografii w diagnostyce narządu ruchu –doniesienie wstępne vibroarthrography in the evaluation of musculoskeletal system– a pilot study,” 2013.
  • [3] S. J. Olshansky, M. A. Rudberg, B. A. Carnes, C. K. Cassel, and J. A. Brody, “Trading off longer life for worsening health: the expansion of morbidity hypothesis,” Journal of aging and health, vol. 3, no. 2, pp. 194–216, 1991.
  • [4] A. Dixon, “The united nations decade of healthy ageing requires concerted global action,” Nature aging, vol. 1, no. 1, pp. 2–2, 2021.
  • [5] A. W. Taylor, Physiology of exercise and healthy aging. Human Kinetics, 2021.
  • [6] T. N. Pham and D. H. Vo, “Aging population and economic growth in developing countries: a quantile regression approach,” Emerging Markets Finance and Trade, vol. 57, no. 1, pp. 108–122, 2021.
  • [7] R. Merchant, J. Morley, and M. Izquierdo, “Exercise, aging and frailty: guidelines for increasing function,” pp. 405–409, 2021.
  • [8] J. Joubert and D. Bradshawb, “Population ageing and health challenges,” View a breakdown of smaller files at http://www. mrc.ac.za/chronic/cdl1995-2005.htm, vol. 204, 2006.
  • [9] Z. Borysiuk, M. Konieczny, K. Kręcisz, P. Pakosz, and B. Królikowska, “Effect of six-week intervention program on postural stability measures and muscle coactivation in senior-aged women,” Clinical interventions in aging, vol. 13, p. 1701, 2018.
  • [10] Z. Borysiuk, M. Konieczny, K. Kręcisz, and P. Pakosz, “Application of semg and posturography as tools in the analysis of biosignals of aging process of subjects in the post-production age,” in International Scientific Conference BCI 2018 Opole. Springer, 2018, pp. 23–29.
  • [11] J. N. Katz, K. R. Arant, and R. F. Loeser, “Diagnosis and treatment of hip and knee osteoarthritis: a review,” Jama, vol. 325, no. 6, pp. 568–578, 2021.
  • [12] D. Moreira, J. Silva, M. V. Correia, and M. Massada, “Classification of knee arthropathy with accelerometer-based vibroarthrography,” Studies in Health Technology and Informatics, vol. 224, pp. 33–39, 2016.
  • [13] A. Łysiak, A. Fron, D. Bączkowicz, and M. Szmajda, “The new´ descriptor in processing of vibroacoustic signal of knee joint,” IFAC-PapersOnLine, vol. 52, no. 27, 2019.[Online]. Available: https://linkinghub.elsevier.com/retrieve/pii/S2405896319326321
  • [14] S. Krishnan and R. Rangayyan, “Automatic denoising of kneejoint vibration signals using adaptive time-frequency representations,” Medical and Biological engineering and Computing, vol. 38, no. 1, pp. 2–8, 2000.
  • [15] A. Balajee and R. Venkatesan, “A survey on classification methodologies utilized for classifying the knee joint disorder levels using vibroarthrographic signals,” Materials Today: Proceedings, 2021.
  • [16] D. Baczkowicz and K. Krecisz, “Vibroarthrography in the evaluation of musculoskeletal system-a pilot study.” Ortopedia, Traumatologia, Rehabilitacja, vol. 15, no. 5, pp. 407–416, 2013.
  • [17] D. Bączkowicz, G. Skiba, M. Szmajda, I. Vařeka, K. Falkowski, and K. Laudner, “Effects of viscosupplementation on quality of knee joint arthrokinematic motion analyzed by vibroarthrography,” Cartilage, vol. 12, no. 4, pp. 438–447, 2021.
  • [18] E.Ołowiana,N.Selkow, K.Laudner,D.Puciato,andD. Bączkowicz, “Vibroarthrographic analysis of patellofemoral joint arthrokinematics during squats with increasing external loads,” BMC Sports Science, Medicine and Rehabilitation, vol. 12, no. 1, pp. 1–9, 2020.
  • [19] D. Bączkowicz, K. Kręcisz, and Z. Borysiuk, “Analysis of patellofemoral arthrokinematic motion quality in open and closed kinetic chains using vibroarthrography,” BMC Musculoskeletal Disorders, vol. 20, no. 1, pp. 1–9, 2019.
  • [20] S. Zaffagnini, D. Dejour, A. Grassi, T. Bonanzinga, G. M. M. Muccioli, F. Colle, F. Raggi, A. Benzi, and M. Marcacci, “Patellofemoral anatomy and biomechanics: current concepts,” Joints, vol. 1, no. 2, p. 15, 2013.
  • [21] J. Matz, B. A. Lanting, and J. L. Howard, “Understanding the patellofemoral joint in total knee arthroplasty,” Canadian Journal of Surgery, vol. 62, no. 1, p. 57, 2019.
  • [22] K. Kręcisz and D. Bączkowicz, “Analysis and multiclass classification of pathological knee joints using vibroarthrographic signals,” Computer methods and programs in biomedicine, vol. 154, pp. 37–44, 2018.
  • [23] D. Bączkowicz, E. Majorczyk, and K. Kręcisz, “Age-related impairment of quality of joint motion in vibroarthrographic signal analysis,” BioMed research international, vol. 2015, 2015.
  • [24] D. Bączkowicz and E. Majorczyk, “Joint motion quality in chondromalacia progression assessed by vibroacoustic signal analysis,” Pm&r, vol. 8, no. 11, pp. 1065–1071, 2016.
  • [25] M. Dołęgowski, M. Szmajda, and D. Bączkowicz, “Use of incremental decomposition and spectrogram in vibroacoustic signal analysis in knee joint disease examination,” PrzeglądElektrotechniczny, vol. 94, pp. 162–166, 2018.
  • [26] M. Costa, A. L. Goldberger, and C.-K. Peng, “Multiscale entropy analysis of biological signals,” Physical Review E, vol. 71, no. 2, p. 021906, Feb. 2005, publisher: American Physical Society.[Online]. Available: https://link.aps.org/doi/10.1103/PhysRevE.71.021906
  • [27] C. L. Webber and J. P. Zbilut “Dynamical assessment of physiological systems and states using recurrence plot strategies,” Journal of Applied Physiology, vol. 76, no. 2, pp. 965–973, Feb. 1994, publisher: American Physiological Society.[Online]. Available: https://journals.physiology.org/doi/abs/10.1152/jappl.1994.76.2. 965
  • [28] N. Marwan, N. Wessel, U. Meyerfeldt, A. Schirdewan, and J. Kurths, “Recurrence-plot-based measures of complexity and their application to heart-rate-variability data,” Physical Review E, vol. 66, no. 2, p. 026702, Aug. 2002, publisher: American Physical Society.[Online]. Available: https://link.aps.org/doi/10.1103/PhysRevE.66.026702
  • [29] D. F. Elliott, Handbook of digital signal processing: engineering applications. Elsevier, 2013.
  • [30] D. Bączkowicz and E. Majorczyk, „Joint motion quality in vibroacousic signal analysis for patients with patellofemoral joint disorders,” BMC musculoskeletal disorders, vol. 15, no. 1, pp. 1-7, 2014.
  • [31] J. S. Richman and J. R. Moorman, “Physiological time-series analysis using approximate entropy and sample entropy,” American Journal of Physiology. Heart and Circulatory Physiology, vol. 278, no. 6, pp. H2039–2049, Jun. 2000, tex.ids= richman_physiological_2000-1.
  • [32] A. Łysiak, A. Froń, D. Bączkowicz, and M. Szmajda, “Vibroarthrographic signal spectral features in 5-class knee joint classification,” Sensors, vol. 20, no. 17, p. 5015, Sep. 2020.[Online]. Available: https://www.mdpi.com/14248220/20/17/5015.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-5bfb2ff2-09a9-4ce1-abfd-9a8245ef2a8e
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