Literature DB >> 22097908

Prediction of lower extremities' movement by angle-angle diagrams and neural networks.

Patrik Kutilek1, Barbora Farkasova.   

Abstract

In contemporary science, the analysis of human walking is extensively used. The prediction of leg motion, as well as rehabilitation, can be usable for orthosis and prosthesis programing. Our work is focused on predicting of human walking by angle-angle diagrams, also called cyclograms. The applications of cyclograms in conjunction with artificial intelligence offers wide area of applications in medicine. But until now, this approach has not been studied or applied in practice.

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Year:  2011        PMID: 22097908

Source DB:  PubMed          Journal:  Acta Bioeng Biomech        ISSN: 1509-409X            Impact factor:   1.073


  2 in total

1.  Analysis of Interrelationships among Voluntary and Prosthetic Leg Joint Parameters Using Cyclograms.

Authors:  Farahiyah Jasni; Nur Azah Hamzaid; Nor Elleeiana Mohd Syah; Tze Y Chung; Noor Azuan Abu Osman
Journal:  Front Neurosci       Date:  2017-04-25       Impact factor: 4.677

2.  Design and Speed-Adaptive Control of a Powered Geared Five-Bar Prosthetic Knee Using BP Neural Network Gait Recognition.

Authors:  Yuanxi Sun; Rui Huang; Jia Zheng; Dianbiao Dong; Xiaohong Chen; Long Bai; Wenjie Ge
Journal:  Sensors (Basel)       Date:  2019-10-27       Impact factor: 3.576

  2 in total

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