基于肌电信号的关节角度估计的人工神经网络

Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society Pub Date : 1995-09-20 DOI:10.1109/IEMBS.1995.575381

S. Suryanarayanan, N. P. Reddy, V. Gupta

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引用次数: 13

摘要

开发了一套基于肌电图控制的神经网络。该神经网络系统利用二头肌表面肌电信号实时估计肘关节角度。通过测角仪测量关节角度，对系统进行标定和网络训练。初步测试结果表明，网络的关节角估计值与实际关节角之间的误差小于20%。

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Artificial neural networks for estimation of joint angle from EMG signals

A set of neural networks was developed for EMG based control of telemanipulators. The neural network system provides an estimate of the joint angle at the elbow using surface EMG of biceps in real time. The joint angle was measured by a goniometer to calibrate the system and train the networks. Preliminary results during testing indicate an error of less than 20% between the joint angle estimate of the network and the actual joint angle.

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Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society

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