Use of artificial neural networks for assessing parameters of gait symmetry

Acta of Bioengineering and Biomechanics

Volumn 13, Issue 4, 2011, Pages 65-70

  Michalski, Radosław ^b   Wit, Andrzej ^a,c   Gajewski, Jan ^a,b  

^a JÓZEF PI SUDSKI UNIVERSITY OF PHYSICAL EDUCATION IN WARSAW   (Poland)

^b INSTITUTE OF SPORT   (Poland)

^c ALMAMER   (Poland)

Author keywords

Artificial neural networks; Gait symmetry; Symmetry indices

Indexed keywords

ADULT; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; BIOMECHANICS; FEMALE; GAIT; HEALTH; HUMAN; MALE; PHYSIOLOGY;

BIOMECHANICS; FEMALE; GAIT; HEALTH; HUMANS; MALE; MODELS, BIOLOGICAL; NEURAL NETWORKS (COMPUTER); YOUNG ADULT;

EID: 84856702335     PISSN: 1509409X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (18)

1. Barton G., Lees A. et al., Visualisation of gait data with Kohonen self-organising neural maps, Gait & Posture, 2006, 24(1), 46-53.
2. Barton G., Lisboa P. et al., Gait quality assessment using self-organising artificial neural networks, Gait & Posture, 2007, 25(3), 374-379.
3. Bosch K., Rosenbaum D., Gait symmetry improves in childhood-A 4-year follow-up of foot loading data, Gait & Posture, 2010, 32(4), 464-468.
4. Chen G., Patten C. et al., Gait deviations associated with post-stroke hemiparesis: improvement during treadmill walking using weight support, speed, support stiffness, and handrail hold, Gait & Posture, 2005, 22(1), 57-62.
5. Chockalingam N., Dangerfield P.H. et al., Assessment of ground reaction force during scoliotic gait, European Spine Journal, 2004, 13(8), 750-754.
6. Hayfron-Acquah J.B., Nixon M.S. et al., Automatic gait recognition by symmetry analysis, Pattern Recognition Letters, 2003, 24(13), 2175-2183.
7. Hsu A.-L., Tang P.-F. et al., Analysis of impairments influencing gait velocity and asymmetry of hemiplegic patients after mild to moderate stroke, Archives of Physical Medicine and Rehabilitation, 2003, 84(8), 1185-1193.
8. Jeleń P., Wit A. et al., Expressing gait-line symmetry in able-bodied gait, Dynamic Medicine, 2008, 7(17), 1-9.
9. Kavanagh J.J., Morrison S. et al., Reliability of segmental accelerations measured using a new wireless gait analysis system, Journal of Biomechanics, 2006, 39(15), 2863-2872.
10. Kim C.M., Eng J.J., Symmetry in vertical ground reaction force is accompanied by symmetry in temporal but not distance variables of gait in persons with stroke, Gait & Posture, 2003, 18(1), 23-28.
11. Matsusaka N., Control and medial-lateral balance in walking, Acta Orthopeadica Scandinavica, 1986, 57(6), 555-559.
12. Patterson K.K., Gage W.H. et al., Evaluation of gait symmetry after stroke: A comparison of current methods and recommendations for standardization, Gait & Posture, 2010, 31(2), 241-246.
13. Sadeghi H., Allard P. et al., Symmetry and limb dominance in able-bodied gait: a review, Gait & Posture, 2000, 12(1), 34-45.
14. Stokłosa H., Symetria i asymetria, Roczniki Naukowe AWF Katowice, 1995, 23, 83-97.
15. Syczewska M., Graff K. et al., Does the gait pathology in scoliotic patients depend on the severity of spine deformity? Preliminary results, Acta of Bioengineering and Biomechanics, 2010, 12(1), 25-28.
16. Winiarski S., Rutkowska-Kucharska A., Estimated ground reaction force in normal and pathological gait, Acta of Bioengineering and Biomechanics, 2009, 11(1), 53-60.
17. Xu Y., Wang C. et al., Analysis of human gait bilateral symmetry for functional assessment after an orthopaedic surgery, Image Analysis and Recognition, M. Kamel and A. Campilho, Heidelberg, Springer, Berlin, 2009, 5627, 627-636.
18. Zhang K., Sun M. et al., Assessment of human locomotion by using an insole measurement system and artificial neural networks, Journal of Biomechanics, 2005, 38(11), 2276-2287.