Self-paced Movement Intention Detection from Human Brain Signals: Invasive and Non-invasive EEG

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  • Presented at: 34th Annual International Conference of the IEEE Engineering in Medicine and Biology, San Diego, USA, August 28 – September 1, 2012
  • Published in: 2012 Annual International Conference Of The Ieee Engineering In Medicine And Biology Society (Embc) (ISSN: 1557-170X), p. 3280-3283
  • Series: IEEE Engineering in Medicine and Biology Society Conference Proceedings
  • New York: Ieee, 2012

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 noninvasive 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 on-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.

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