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Self-paced movement intention detection from human brain signals: Invasive and non-invasive EEG.

Lew, Eileen
Chavarriaga, Ricardo
Zhang, Huaijian
Millan, Jose del R
Published in Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2012, vol. 2012, p. 3280-3
Abstract Neural signatures of humans' movement intention can be exploited by future neuroprosthesis. We propose a method for detecting self-paced upper limb movement intention from brain signals acquired with both invasive and non-invasive methods. In the first study with scalp electroencephalograph (EEG) signals from healthy controls, we report single trial detection of movement intention using movement-related potentials (MRPs) in a frequency range between 0.1 to 1 Hz. Movement intention can be detected above chance level (p<0.05) on average 460 ms before the movement onset with low detection rate during the non-movement intention period. Using intracranial EEG (iEEG) from one epileptic subject, we detect movement intention as early as 1500 ms before movement onset with accuracy above 90% using electrodes implanted in the bilateral supplementary motor area (SMA). The coherent results obtained with non-invasive and invasive method and its generalization capabilities across different days of recording, strengthened the theory that self-paced movement intention can be detected before movement initiation for the advancement in robot-assisted neurorehabilitation.
Keywords AdultBrain/physiology/physiopathologyElectroencephalography/methodsEpilepsy/physiopathologyEvoked PotentialsFemaleHumansMaleMovementReference ValuesSignal Processing, Computer-Assisted
PMID: 23366626
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Research group Epilepsie et Chirurgie (149)
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LEW, Eileen et al. Self-paced movement intention detection from human brain signals: Invasive and non-invasive EEG. In: Conference proceedings : IEEE Engineering in Medicine and Biology Society, 2012, vol. 2012, p. 3280-3. https://archive-ouverte.unige.ch/unige:32851

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Deposited on : 2014-01-07

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