Vol 7: Reconstructing for joint angles on the shoulder and elbow from non-invasive electroencephalographic signals through electromyography.Report as inadecuate



 Vol 7: Reconstructing for joint angles on the shoulder and elbow from non-invasive electroencephalographic signals through electromyography.


Vol 7: Reconstructing for joint angles on the shoulder and elbow from non-invasive electroencephalographic signals through electromyography. - Download this document for free, or read online. Document in PDF available to download.

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This article is from Frontiers in Neuroscience, volume 7.AbstractIn this study, first the cortical activities over 2240 vertexes on the brain were estimated from 64 channels electroencephalography EEG signals using the Hierarchical Bayesian estimation while 5 subjects did continuous arm reaching movements. From the estimated cortical activities, a sparse linear regression method selected only useful features in reconstructing the electromyography EMG signals and estimated the EMG signals of 9 arm muscles. Then, a modular artificial neural network was used to estimate four joint angles from the estimated EMG signals of 9 muscles: one for movement control and the other for posture control. The estimated joint angles using this method have the correlation coefficient CC of 0.807 ±0.10 and the normalized root-mean-square error nRMSE of 0.176 ±0.29 with the actual joint angles.



Author: Choi, Kyuwan

Source: https://archive.org/







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