Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications
Online ISSN : 2188-4749
Print ISSN : 2188-4730
第49回ISCIE「確率システム理論と応用」国際シンポジウム(2017年11月, 広島)
Line Spectrum Representation of Neural and Myoelectric Signals for Brain-Machine Interface Applications
Osamu FukayamaNaoki SudoKunihiko Mabuchi
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2018 年 2018 巻 p. 153-157

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Biological signals recorded in the nervous system contains rich information on the motions which have been applied for various prosthetic applications. It is essential to extract appropriate feature quantities from the signals to estimate the intention of the subject for voluntary movements. We have diverted the line spectrum pair (LSP) representation, which had been originally developed for speech coding, as a feature quantity for the biological signals directly recorded from the living body. In this paper, 2 examples of utilizing LSP for different biological signals are demonstrated. While the human myoelectric (EMG) signals have shown the ability of the LSP representation to estimate the hand shapes, the neural local field potentials (LFP) of a rat were used to detect its intention to walk.
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© 2018 ISCIE Symposium on Stochastic Systems Theory and Its Applications
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