Mihnea MARIN, Ligia RUSU, Mihaela ZĂVĂLEANU, Cătălin POPA


Gait analysis is a challenge. The aim of the paper is to analysis the asymmetry of kinematic gait parameters, using the cyclograms and symmetry indexes (SI,R,GA), for patients affected by multiple sclerosis (MS) evaluate using EDSS scale. The research try to analysis the evolution of possible gait disorders. The results demonstrate  that in case of MS patients are semnificative decrease (50%) of angle amplitude of knee and ankle. Also the symmetry indexes have high values and these are more obvious during heel attack, swing phase  and single support phases of gait. Evolution of kinematic parameters and symmetry indexes lead to the conclusion about development of control motor lacj of lower limb.

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Motion Capture Technologies through Simultaneous Data Collection during Gait: Proof of Concept, PLoS ONE 9(3), e87640, 2014. doi:10.1371/journal.pone.0087640.

Rosenhahn, B., Schmaltz, C., Brox, T., Weickert, J., Cremers, D. et al., Markerless motion capture of man-machine interaction, In IEEE Conference on Computer Vision and Pattern Recognition, pp.1–8 2008.

Wang, L., Hu, W., Tan, T., Recent Developments in Human Motion Analysis, Pattern Recognition 36, pp. 585–601, 2003.

Surer, E., Cereatti, A., Grosso, E., Della Croce, U., A markerless estimation of the ankle-foot complex 2D kinematics during stance, Gait and Posture, 33(4), pp. 532–537, 2011.

Noseworthy, J.H., Lucchinetti, C., Rodriguez, M., Weinshenker, B.G. Multiple sclerosis, New England Journal of Medicine, 343, pp. 938–952, 2000.

Pearson, O.R., Busse, M.E., van Deursen, R.W., Wiles, C.M., Quantification of walking mobility in neurological disorders, QJM 97, pp. 463–475, 2004.

Sosnoff, J.J., Sandroff, B.M., Motl, R.W., Quantifying gait abnormalities in personswith multiple sclerosis with minimal disability, Gait and Posture, 36, 154–156, 2012.

Shanahan, C.J., Boonstra, F.M.C., Cofré Lizama, L.E., Strik, M., Moffat, B.A., Khan, F., Kilpatrick, T.J., van der Walt, A., Galea, M.P., Kolbe, S.C., Technologies for Advanced Gait and Balance assessments in People with Multiple Sclerosis, Front. Neurol., 8, 708, 2018. doi:10.3389/fneur. 2017.00708

Faude, O., Donath, L., Roth, R., Fricker, L., Zahner, L., Reliability of gait parameters during treadmill walking incommunity-dwelling healthy seniors, Gait & Posture, 36 (3), pp. 444–448, 2012.

Molina-Rueda, F., Fernández-Vázquez, D., Navarro-López, V., Miangolarra-Page, J.C., Carratalá-Tejada, M., The Timing of Kinematic and Kinetic Parameters during Gait Cycle as aMarker of Early Gait Deterioration in Multiple Sclerosis Subjects withMild Disability, J. Clin. Med., 11, 1892, 2022. https://

Socie, M.J., et al., Gait variability and disability in multiple sclerosis, Gait Posture, 2012, 2012.10.012

Jokubaitis, V.G., Spelman, T., Kalincik, T., Lorscheider, J., Havrdova, E., Horakova, D., et al., Predictors of long-term disability accrual in relapse-onset multiple sclerosis, Ann Neurol, 80, pp. 89–100, 2016. doi:10.1002/ana.24682 47

Muro-de-la-Herran, A., Garcia-Zapirain, B., Mendez-Zorrilla, A., Gait analysis methods: an overview of wearable and non-wearable systems, highlighting clinical applications, Sensors (Basel) 14, pp. 3362–3394, 2014. doi:10.3390/ s140203362

Winter, D.A. Biomechanics and motor control of human movement, 3rd ed. Hoboken, New Jersey, 2005, John Wiley &Sons Inc.

Souza, M.D, Kamm, C., Burggraaff, J., Tewarie, P., Glocker, B., Dorn, J., Vogel, T., Morrison, C., Sellen, A., Machacek, M., Chin, P., Uitdehaag, B., Criminisi, A., Dahlke, F., Polman, C., Kappos, L., Assessment of disability in multiple sclerosis using the Kinect-camera system: Aproof-of-concept study, Neurology, 82(10), pp. 139, 2014.

Pau, M., Coghe, G., Corona, F., Marrosu, M.G., Cocco, E., Effect of spasticity on kinematics of gait and muscular activation in people with Multiple Sclerosis, J. Neurol. Sci., 358, pp. 339–344, 2015.

Daunoraviciene, K., Ziziene, J., Ovcinikova, A., Kizlaitiene, R., Griskevicius, J., Quantitative body symmetry assessment during neurological examination, Technol. Health Care, 28, pp. 573–584, 2020.

Filli, L., Sutter, T., Easthope, C.S., Killeen, T., Meyer, C., Reuter, K., Lörincz, L., Bolliger, M., Weller, M., Curt, A., et al., Profiling walking dysfunction in multiple sclerosis: Characterisation, classification and progression over time, Sci. Rep., 8, 4984, 2018.

Crenshaw, S.J., Royer, T.D., Richards, J.G., Hudson, D.J., Gait variability in people with multiple sclerosis, Mult Scler., 12(5), pp. 613-619, 2006. doi: 10.1177/13524585050 70609. PMID: 17086908

Flachenecker, F., Gaßner, H., Hannik, J., Lee, D.H., Flachenecker, P., Winkler, J.,et al., Objective sensor-based gait measures reflect motor impairment in multiple sclerosis patients: reliability and clinical validation of a wearable sensor device, Mult Scler Relat Disord., 39(12), 2020.

Viteckovaa, S., Kutileka, P., Svobodab, Z., Krupickaa, R., Kaulera, J., Szabo, Z., Gait symmetry measures: A review of current and prospective methods, Biomedical Signal Processing and Control, 42, pp. 89-100, 2018.

Sadeghi, H., Allard, P., Prince, F., Labelle, H., Symmetry and limb dominance inable-bodied gait: a review, Gait Posture, 12, pp.

–45, 2000. S0966-6362(00)00070-9

Goswami, A., Kinematic quantification of gait symmetry based on bilateralcyclograms, In Proc XIXth Congr. Int. Soc. Biomech. (2003).

Herzog, W., Nigg, B.M., Read, L.J., Olsson, E., Asymmetries in ground reactionforce patterns in normal human gait, Med. Sci. Sport Exerc., 21, pp. 110–114, 1989.

Davis, R.B., Õunpuu, S., Tyburski, D., A gait analysis data collection and reduction technique, Hum. Mov. Sci., 10, pp. 575–587, 1991.

Marker placement guide http://mocap.cs.

Perry, J., Gait analysis. Normal and pathological function, SLACK Incorporated, 1992.

Seliktar, R., Mizrahi, J., Some gait characteristics of below-knee amputees andtheir reflection on the ground reaction forces, Eng. Med., 15, pp. 27–34, 1986. JOUR 1986 015 009 02

Robinson, R.O., Herzog,W., Nigg, B.M., Use of force platform variables to quantify the effects of chiropractic manipulation on gait symmetry, J. Manip. Physiol. Ther., 10, pp. 172–176, 1987.

Plotnik, M., Giladi, N., Hausdorff, J., A new measure for quantifying the bilateral coordination of human gait, effects of aging and Parkinson’s disease, Exp. Brain. Res., 181(4), pp. 561–570, 2007.

Kutilek, P.,Viteckova1, S., Svoboda, Z., Smrcka, P., Kinematic quantification of gait asym-metry in patients with peroneal nerve palsy based on bilateral cyclograms, J. Musculo-skelet Neuronal Interact, 13(2), pp. 244-250, 2013.


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