2011
DOI: 10.1016/j.clinph.2010.07.010
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Abstract: Objective Human voluntary movement is associated with two changes in electroencephalography (EEG) that can be observed as early as 1.5 s prior to movement: slow DC potentials and frequency power shifts in the alpha and beta bands. Our goal was to determine whether and when we can reliably predict human natural movement BEFORE it occurs from EEG signals ONLINE IN REAL-TIME. Methods We developed a computational algorithm to support online prediction. Seven healthy volunteers participated in this study and perf… Show more

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Cited by 161 publications
(142 citation statements)
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References 45 publications
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“…Movement or intention detection has been typically studied off-line (35), whereas to date only few have undertaken the approach in real time (9,26,36). Neural mechanisms for the inhibition of cued as well as voluntary actions have been previously found in lateral and medial prefrontal cortex (PFC), pre-supplementary motor area (pre-SMA) and insular cortex (37)(38)(39)(40)(41).…”
Section: Discussionmentioning
confidence: 99%
“…Movement or intention detection has been typically studied off-line (35), whereas to date only few have undertaken the approach in real time (9,26,36). Neural mechanisms for the inhibition of cued as well as voluntary actions have been previously found in lateral and medial prefrontal cortex (PFC), pre-supplementary motor area (pre-SMA) and insular cortex (37)(38)(39)(40)(41).…”
Section: Discussionmentioning
confidence: 99%
“…We argue here that the preprocessing methods designed for obtaining those features are suboptimal for the single trial analysis of SCPs which appear in the frequency range [0.2-0.7] Hz [29][30][31] and are usually recorded with FbEEG systems [32][33][34] or systems with close to dc highpass. The inclusion of the potentials close to dc raises a challenge due to the 1/ f scale-free statistical behavior of EEG [28,[35][36][37]26]. More specifically, the task-irrelevant infraslow oscillations (ISOs) 0.1 Hz contribute significantly to the trial-to-trial variability.…”
Section: Slow Cortical Potentialsmentioning
confidence: 99%
“…However, a survey on signal processing methods for various electrical potentials for BCI applications [27], points out that only a few studies focus on SCPs. It is worth noting that in a recent attempt to detect a movement before it occurs, authors acknowledged the extreme difficulties associated with single trial analysis of SCPs, and avoided using them [28]. Most of the single trial analysis methods reported in the literature are designed in the context of classical EEG, where the features lie in the frequency range [0.…”
Section: Slow Cortical Potentialsmentioning
confidence: 99%
“…Alpha (8-13 Hz) and Beta (13-30 Hz) bands can be independently useful in this regard to catch such information of motor imagery [26]. It is now established that movements can be predicted with sensorimotor rhythms before they actually occur [27]. Some popular BCI systems that are based on sensorimotor rhythms can be referred to [28][29][30].…”
Section: |P a G Ementioning
confidence: 99%