000177809 001__ 177809
000177809 005__ 20190812205614.0
000177809 020__ $$a978-1-4577-1787-1
000177809 022__ $$a1557-170X
000177809 02470 $$2ISI$$a000313296503126
000177809 037__ $$aCONF
000177809 245__ $$aSelf-paced Movement Intention Detection from Human Brain Signals: Invasive and Non-invasive EEG
000177809 269__ $$a2012
000177809 260__ $$bIeee$$c2012$$aNew York
000177809 300__ $$a4
000177809 336__ $$aConference Papers
000177809 490__ $$aIEEE Engineering in Medicine and Biology Society Conference Proceedings
000177809 520__ $$aNeural 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.
000177809 6531_ $$a[TOBI] [NCCR Robotics]
000177809 700__ $$0242178$$g171936$$aLew Yi Lee, Eileen
000177809 700__ $$0241256$$g137762$$aChavarriaga, Ricardo
000177809 700__ $$0245439$$g209107$$aZhang, Huaijian
000177809 700__ $$aSeeck, Margitta
000177809 700__ $$aMillán, José del R.$$g149175$$0240030
000177809 7112_ $$dAugust 28 - September 1, 2012$$cSan Diego, USA$$a34th Annual International Conference of the IEEE Engineering in Medicine and Biology
000177809 773__ $$t2012 Annual International Conference Of The Ieee Engineering In Medicine And Biology Society (Embc)$$q3280-3283
000177809 8564_ $$zn/a$$yn/a$$uhttps://infoscience.epfl.ch/record/177809/files/LewChZhSeMi12.pdf$$s986933
000177809 909C0 $$xU12367$$pNCCR-ROBOTICS$$0252409
000177809 909C0 $$0252018$$xU12103$$pCNBI
000177809 909C0 $$xU12599$$pCNP$$0252517
000177809 909CO $$qGLOBAL_SET$$pconf$$pSTI$$ooai:infoscience.tind.io:177809
000177809 917Z8 $$x171936
000177809 917Z8 $$x171936
000177809 917Z8 $$x149175
000177809 917Z8 $$x221818
000177809 917Z8 $$x137762
000177809 917Z8 $$x137762
000177809 917Z8 $$x137762
000177809 937__ $$aEPFL-CONF-177809
000177809 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000177809 980__ $$aCONF