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Tytuł artykułu

Diagnostic factors for opened and closed kinematic chain of vibroarthrography signals

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper presents results of preliminary research of vibroarthrography signals recorded from one healthy volunteer. The tests were carried out for the open and closed kinematic chain in the range of motion 90° – 0° – 90°. Analysis included initial signal filtration using the EMD algorithm. The aim was to investigate the occurrence of differences in the values of selected energy and statistical parameters for the cases studied.
Słowa kluczowe
Rocznik
Strony
34--44
Opis fizyczny
Bibliogr. 18 poz., fig.
Twórcy
  • Lublin University of Technology, Faculty of Mechanical Engineering, Department of Machine Design and Mechatronics, Nadbystrzycka 36, 20-618 Lublin, Poland
  • Lublin University of Technology, Faculty of Mechanical Engineering, Department of Machine Design and Mechatronics, Nadbystrzycka 36, 20-618 Lublin, Poland
  • Przemysław Krakowski, Orthopedic Department, Łęczna Hospital, Krasnystawska 52, 21-010 Łęczna, Poland
autor
  • Lublin University of Technology, Faculty of Mechanical Engineering, Department of Machine Design and Mechatronics, Nadbystrzycka 36, 20-618 Lublin, Poland
Bibliografia
  • [1] Adouni, M., & Shirazi-Adl, A. (2009). Knee joint biomechanics in closed-kinetic-chain exercises. Computer Methods in Biomechanics and Biomedical Engineering, 12(6), 661–670. doi:10.1080/10255840902828375
  • [2] Alickovic, E., Kevric, J., & Subasi, A. (2018). Performance evaluation of empirical mode decom-position, discrete wavelet transform, and wavelet packed decomposition for automated epileptic seizure detection and prediction. Biomedical Signal Processing and Control, 39, 94–102. doi:10.1016/j.bspc.2017.07.022
  • [3] Barcellona, M. G., & Morrissey, M. C. (2016). The effect of open kinetic chain knee extensor resistance training at different training loads on anterior knee laxity in the uninjured. Manual Therapy, 22, 1–8. doi:10.1016/j.math.2015.12.011
  • [4] Charnley, J. (1955). Kinesiology of the human body under normal and pathological conditions. The Journal of Bone and Joint Surgery. British Volume, 37–B(4), 736–737. doi:10.1302/0301-620X.37B4.736
  • [5] Cohen, Z. A., Roglic, H., Grelsamer, R. P., Henry, J. H., Levine, W. N., Van Mow, C., & Ateshian, G. A. (2001). Patellofemoral Stresses during Open and Closed Kinetic Chain Exercises: An Analysis Using Computer Simulation. The American Journal of Sports Medicine, 29(4), 480–487. doi:10.1177/03635465010290041701
  • [6] Huang, N. E., Shen, Z., Long, S. R., Wu, M. C., Shih, H. H., Zheng, Q., Yen, N.-Ch., Tung, Ch. Ch., & Liu, H. H. (1998). The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences, 454(1971), 903–995. doi:10.1098/rspa.1998.0193
  • [7] Jonak, J., Machrowska, A., Podgórski, J., & Bęc, J. (2016). Identification of the operating parameters for the mechanical systeIdentification system using EMD algorithm. MATEC Web of Conferences, 83, 05001. doi:10.1051/matecconf/20168305001
  • [8] Karpiński, R., Machrowska, A., & Maciejewski, M. (2019). Application of acoustic signal processing methods in detecting differences between open and closed kinematic chain movement for the knee joint. Applied Computer Science, 15(1), 36–48. doi:10.23743/acs-2019-03
  • [9] Kolotkov, D. Y., Anfinogentov, S. A., & Nakariakov, V. M. (2016). Empirical mode decomposition analysis of random processes in the solar atmosphere. Astronomy & Astrophysics, 592, A153. doi:10.1051/0004-6361/201628306
  • [10] Luque-Seron, J. A., & Medina-Porqueres, I. (2016). Anterior Cruciate Ligament Strain In Vivo: A Systematic Review. Sports Health: A Multidisciplinary Approach, 8(5), 451–455. doi:10.1177/1941738116658006
  • [11] Machrowska, A., & Jonak, J. (2018). xEMD procedures as a data – Assisted filtering method. AIP Conference Proceedings, 1922, 120007. doi:10.1063/1.5019122
  • [12] Maciejewski, M. (2015). Zastosowanie i ograniczenia technologii informacyjnych w diagnostyce medycznej. Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 1, 66–72.
  • [13] Maciejewski, M., Surtel, W., & Dzida, G. (2015). Human ECG signal parameters estimation during controlled physical activity. In R. S. Romaniuk (Ed.), Proc. SPIE 9662, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments (96621P ). doi:10.1117/12.2205811
  • [14] Powers, C. M., Bolgla, L. A., Callaghan, M. J., Collins, N., & Sheehan, F. T. (2012). Patellofemoral Pain: Proximal, Distal, and Local Factors—2nd International Research Retreat, August 31–September 2, 2011, Ghent, Belgium. Journal of Orthopaedic & Sports Physical Therapy, 42(6), A1–A54. doi:10.2519/jospt.2012.0301
  • [15] Sanchis-Alfonso, V. (2014). Holistic approach to understanding anterior knee pain. Clinical implications. Knee Surgery, Sports Traumatology, Arthroscopy, 22(10), 2275–2285. doi:10.1007/s00167-014-3011-8
  • [16] Sanchis-Alfonso, V., & Dye, S. F. (2017). How to Deal With Anterior Knee Pain in the Active Young Patient. Sports Health: A Multidisciplinary Approach, 9(4), 346–351. doi:10.1177/1941738116681269
  • [17] Witvrouw, E., Danneels, L., van Tiggelen, D., Willems, T. M., & Cambier, D. (2004). Open versus Closed Kinetic Chain Exercises in Patellofemoral Pain: A 5-Year Prospective Randomized Study. The American Journal of Sports Medicine, 32(5), 1122–1130. doi:10.1177/0363546503262187
  • [18] Yaslan, Y., & Bican, B. (2017). Empirical mode decomposition based denoising method with support vector regression for time series prediction: A case study for electricity load forecasting. Measurement, 103, 52–61. doi:10.1016/j.measurement.2017.02.007 2010.(www.contentmanager.net/magazine/article_785_defining_a_model_for_content_governance.html)
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-9da426cc-646e-4a3e-8797-d4f57c125596
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