Possibilities Gait Parameter Sets Selection

• Autorzy: Jasińska-Choromańska D. , Kabziński B.
• Konferencja: International Conference Computer Simulation in Machine Design - COSIM 2006 (11 ; 2006 ; Krynica Zdrój, Poland)
• Języki publikacji: EN

Abstrakty

EN

The large amount of data collected during gait analysis poses a serious problem to clinicist, so this article presents different methods of reducing the amount of collected data so the assessment would be easier. It also presents methods of automatic gait analysis and selection of most important gait parameters to improve effectiveness and reduce time consumption of clinical gait analysis.

Słowa kluczowe

EN

biomechanics; gait analysis; motion analysis; gait parameters; human locomotion; neural network

PL

biomechanika; analiza ruchu; parametry ruchu; lokomocja człowieka; sieć neuronowa

• Wydawca: Oficyna Wydawnicza Politechniki Warszawskiej
• Czasopismo: Machine Dynamics Problems
• Rocznik: 2006
• Tom: Vol. 30, No. 3
• Strony: 132--137
• Opis fizyczny: Bibliogr. 6 poz., wykr.

Twórcy

autor

Jasińska-Choromańska D.

autor

Kabziński B.

• Warsaw University of Technology. Institute of Micromechanics and Photonics,

Bibliografia

• Barton, J. G., Lees, A., 1997, An application of neural network for distinguishing gait patterns on the basis of hip-knee angle diagrams, Gait and Posture, 5, 28-33.
• Begg, R., Kamruzzaman, J., 2005, A machine learning approach for automated recognition of monement patterns using basic, kinetic and kinematic gait data, Journal of Biomechanics, 38, 401-408.
• Deluzzio, K. J., Wyss, U. P., Costigan, P. A. Sorbie, C., Zee, B., 1999, Gait Assesment in unicommpartmental knee arthroplastry patients: Principal component modelling of gait waveforms and clinical status, Human Movement Science, 18, 701-711.
• Gioftsos, G., Grieve, D. W., 1995, The use of neural networks to recognize patterns of human movement: gait patterns, Clinical Biomechanics, 10, 179-183.
• Jasińska-Choromańska, D., Kabziński, B., 2004, Methods for analyzing human motion functions, Elektronika, Nr 8-9, SIGMA, Warszawa.
• Perry, J., 1992, Gait, Analysis, Normal and Pathological Function, Slack Incorporated.