基于模糊逻辑的多功能上肢假肢分类

2016 Medical Technologies National Congress (TIPTEKNO) Pub Date : 2016-10-01 DOI:10.1109/TIPTEKNO.2016.7863125

M. S. Çelik, Ilyas Eminoglu

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引用次数: 3

摘要

研究了一种基于模糊逻辑的高性能上肢假体表面肌电信号分类算法。在本文中，我们用前臂表面电极记录了4通道肌电图数据，目的是利用这些数据利用启发式模糊逻辑方法识别8种不同的上肢运动。我们对每个功能使用50个表面肌电信号数据，并评估该方法的性能。

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Fuzzy logic based classification for multifunctional upper limb prostheses

This paper investigate a fuzzy logic based high performance surface EMG classification algorithm for multifunctional upper limb prostheses. In this paper, we record 4 channels EMG data with surface electrodes from the forearm and aimed to recognize 8 different upper limb movements using heuristic fuzzy logic methods from these data. We use 50 surface EMG data for every function and evaluate the performance of this method.

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2016 Medical Technologies National Congress (TIPTEKNO)

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