Article (Published version) (956 Kb) - Free access
Self-paced movement intention detection from human brain signals: Invasive and non-invasive EEG.
|Published in||Conference proceedings : 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||Adult — Brain/physiology/physiopathology — Electroencephalography/methods — Epilepsy/physiopathology — Evoked Potentials — Female — Humans — Male — Movement — Reference Values — Signal Processing, Computer-Assisted|
|Research group||Epilepsie et Chirurgie (149)|
|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|