Self-paced movement intention detection from human brain signals: Invasive and non-invasive EEG.
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&#60;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.
Center for Neuroprosthetics,School of Engineering, Swiss Federal Institute of Technology Lausanne, Lausanne, Switzerland. eileen.lew@a3.epfl.ch
Eileen
E
Lew
Ricardo
R
Chavarriaga
Huaijian
H
Zhang
Margitta
M
Seeck
Jose del R
Jdel R
Millan
D000328:Adult; D001921:Brain / Q000502:physiology* / Q000503:physiopathology; D004569:Electroencephalography / Q000379:methods*; D004827:Epilepsy / Q000503:physiopathology; D005071:Evoked Potentials; D005260:Female; D006801:Humans; D008297:Male; D009068:Movement; D012016:Reference Values; D012815:Signal Processing, Computer-Assisted