Document Type : Research Paper


1 Department of Biomechanics, Faculty of Biomedical Engineering, Sahand University of Technology, Tabriz, Iran

2 Department of Orthotics and Prosthetics, School of Rehabilitation Sciences, Shiraz University of Medical Sciences, Shiraz, Iran



To improve motor function, movement pattern and changes in joint kinematic parameters are investigated in different conditions. Using a treadmill in human gait analysis, makes it possible to record several steps of gait in a limited space and also controlled conditions. The purpose of this study was to investigate the consistency of the kinematic parameters of lower limb joints during walking on the ground and treadmill. Intraclass correlation coefficients (ICC) for kinematic parameters of lower limb joints of 15 healthy young male participants were calculated during walking on the ground and treadmill. The angles of pelvic, hip, and ankle were often in the range of excellent reliability (ICC>0.9) when walking on the ground, while the results were in the range of average reliability (ICC<0.7) when walking on a treadmill. Therefore, in treatment activities or research studies, considering the decrease in consistency of walking trials on the treadmill is important.


  1. Aggarwal JK, Cai Q. Human motion analysis: A review. Comput Vis Image Underst. 1999;73(3):428–40.
  2. Barris S, Button C. A review of vision-based motion analysis in sport. Sports Med. 2008;38(12):1025–43.
  3. Stolze H, Kuhtz-Buschbeck JP, Mondwurf C, Boczek-Funcke A, Jöhnk K, Deuschl G, et al. Gait analysis during treadmill and overground locomotion in children and adults. Electroencephalogr Clin Neurophysiol. 1997;105(6):490–7.
  4. Riley PO, Paolini G, Della Croce U, Paylo KW, Kerrigan DC. A kinematic and kinetic comparison of overground and treadmill walking in healthy subjects. Gait Posture. 2007;26(1):17–24.
  5. Lee SJ, Hidler J. Biomechanics of overground vs. treadmill walking in healthy individuals. J Appl Physiol. 2008;104(3):747–55.
  6. Watt JR, Franz JR, Jackson K, Dicharry J, Riley PO, Kerrigan DC. A three-dimensional kinematic and kinetic comparison of overground and treadmill walking in healthy elderly subjects. Clin Biomech (Bristol, Avon). 2010;25(5):444–9.
  7. Alton F, Baldey L, Caplan S, Morrissey MC. A kinematic comparison of overground and treadmill walking. Clin Biomech (Bristol, Avon). 1998;13(6):434–40.
  8. Nymark JR, Balmer SJ, Melis EH, Lemaire ED, Millar S. Electromyographic and kinematic nondisabled gait differences at extremely slow overground and treadmill walking speeds. J Rehabil Res Dev. 2005;42(4):523.
  9. Atkinson G, Nevill AM. Statistical methods for assessing measurement error (reliability) in variables relevant to sports medicine. Sports Med. 1998;26(4):217–38.
  10. Kadaba MP, Ramakrishnan HK, Wootten ME. Measurement of lower extremity kinematics during level walking. J Orthop Res. 1990;8(3):383–92.
  11. Hashemi Oskouei A, Paulin MG, Carman AB. Intra-session and inter-day reliability of forearm surface EMG during varying hand grip forces. J Electromyogr Kinesiol. 2013;23(1):216–22.
  12. Taylor N, Evans O, Goldie P. Reliability of measurement of angular movements of the pelvis and lumbar spine during treadmill walking. Physiother Res Int. 2001;6(4):205–23.
  13. Tamura H, Tanaka R, Kawanishi H. Reliability of a markerless motion capture system to measure the trunk, hip and knee angle during walking on a flatland and a treadmill. J Biomech. 2020;109(109929):109929.
  14. Bahadori S, Immins T, Wainwright TW. Reliability of gait parameters in male and female healthy adults during self-paced treadmill-based walking. Int J Ther Rehabil. 2020;27(9),1-18.‌
  15. Shi L, Duan F, Yang Y, Sun Z. The effect of treadmill walking on gait and upper trunk through linear and nonlinear analysis methods. Sensors. 2019;19(9), 2204.‌
  16. Jochymczyk-Woźniak K, Nowakowska K, Polechoński J, Sładczyk S, Michnik R. Physiological Gait versus Gait in VR on Multidirectional Treadmill—Comparative Analysis. Medicina. 2019;55(9), 517.‌