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Nonlinear Features of Surface EEG Showing Systematic Brain Signal Adaptations with Muscle Force and Fatigue
Nonlinear dynamics has been introduced to the analysis of biological data and increasingly recognized to be functionally relevant. The purpose of this study was to examine chaotic properties of human scalp EEG signals associated with voluntary motor tasks using the largest Lyapunov exponent (L1). 64...
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| Hauptverfasser: | , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2009
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2683909/ https://ncbi.nlm.nih.gov/pubmed/19332036 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.brainres.2009.03.042 |
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