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通过角度-角度图和神经网络预测下肢运动。

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

作者信息

Kutilek Patrik, Farkasova Barbora

机构信息

Faculty of Biomedical Engineering, Czech Technical University in Prague, Czech Republic.

出版信息

Acta Bioeng Biomech. 2011;13(2):57-65.

PMID:22097908
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.

摘要

在当代科学中,对人类行走的分析被广泛应用。腿部运动的预测以及康复治疗可用于矫形器和假肢编程。我们的工作重点是通过角-角图(也称为循环图)来预测人类行走。循环图与人工智能相结合的应用在医学领域有着广泛的应用范围。但到目前为止,这种方法尚未在实践中得到研究或应用。

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Sensors (Basel). 2019 Oct 27;19(21):4662. doi: 10.3390/s19214662.
2
Analysis of Interrelationships among Voluntary and Prosthetic Leg Joint Parameters Using Cyclograms.使用周期图分析自愿和假肢腿部关节参数之间的相互关系。
Front Neurosci. 2017 Apr 25;11:230. doi: 10.3389/fnins.2017.00230. eCollection 2017.