Analysis of the electromyographic signal during rehabilitation exercises of the knee joint

• Autorzy: Grabski J. K. , Kazimierczuk S. , Walczak T.
• Konferencja: Symposium “Vibrations In Physical Systems” (26 ; 04-08.05.2014 ; Będlewo koło Poznania ; Polska)
• Języki publikacji: EN

Abstrakty

EN

The system of human locomotion is very complex. Generally we can divide it into the skeletal and muscle systems. The muscle system (muscles) enable to move the body which is formed by the skeletal system (bones). Electromyography is a technique of measurement the electrical activity of muscles which is related with shortening or lengthening of muscle fibers (muscle contraction). In the paper analysis of the electromyographic signal (EMG) recorded during knee rehabilitation exercises was conducted. The records of EMG from person after knee injury were compared with records of EMG from healthy person.

Słowa kluczowe

EN

electromyography; knee rehabilitation; rehabilitative exercises

PL

elektromiografia; rehabilitacja kolana; ćwiczenia rehabilitacyjne

• Wydawca: Poznan University of Technology. Institute of Applied Mechanics
• Czasopismo: Vibrations in Physical Systems
• Rocznik: 2014
• Tom: Vol. 26
• Strony: 79--86
• Opis fizyczny: Bibliogr. 6 poz., il., wykr.

Twórcy

autor

Grabski J. K.

• Institute of Applied Mechanics, Poznan University of Technology, ul. Jana Pawła II 24, 60-965 Poznań

autor

Kazimierczuk S.

• Institute of Applied Mechanics, Poznan University of Technology, ul. Jana Pawła II 24, 60-965 Poznań

autor

Walczak T.

• Institute of Applied Mechanics, Poznan University of Technology, ul. Jana Pawła II 24, 60-965 Poznań

Bibliografia

• 1. C.J. De Luca, The use of surface electromyography in biomechanics, J. Appl. Biomech., 13 (1997), 135-163.
• 2. A. Głowacka, E. Świtoński, R. Michnik, Wyznaczanie sił mięśniowych podczas chodu dzieci zdrowych (in Polish), Aktualne Problemy Biomechaniki, 6 (2012), 31-36.
• 3. S.M. Gryzlo, R.M. Patek, M. Pink, J. Perry, Electromyographic analysis of knee rehabilitation exercises, J. Orthop. Sports Phys. Ther., 20 (1994), 36-43.
• 4. R. Merletti, P.A. Parker, Electromyography. Physiology, Engineering and Noninvasive Applications, A John Wiley & Sons, Inc., Publication, New Jersey 2004.
• 5. K. Najarian, R. Splinter, Biomedical signal and image processing, second edition, CRC Press, Boca Raton 2012.
• 6. E. Świtoński, R. Michnik, A. Głowacka, Zastosowanie modelowania matematycznego i pomiarów EMG do oceny chodu dzieci z zaburzeniami neurologicznymi (in Polish), Modelowanie inżynierskie, 47 (2013) 190-196.