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Reconstructing Three-Dimensional Hand Movements from Noninvasive Electroencephalographic Signals

Reconstructing Three-Dimensional Hand Movements from Noninvasive Electroencephalographic Signals,10.1523/JNEUROSCI.6107-09.2010,Journal of Neuroscienc

Reconstructing Three-Dimensional Hand Movements from Noninvasive Electroencephalographic Signals   (Citations: 15)
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Journal: Journal of Neuroscience - J NEUROSCI , vol. 30, no. 9, pp. 3432-3437, 2010
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    • ...The other obvious issue will be the role of direction as an amendment to previous force parameter decoding studies [18], similar to studies on movement direction [25] or trajectory decoding [33], [34]...

    Bahman Nasseroleslamiet al. Event-related (de-)synchronisation in arm isometric exertions: A wavel...

    • ...In a recent study, 3-D hand movements were reconstructed from noninvasive EEG recordings [21]...

    Audrey S. Royeret al. EEG Control of a Virtual Helicopter in 3Dimensional Space Using Intell...

    • ...Newly, the positions, the velocities and the accelerations of hand movement were modestly decoded during a 3-D center-out reaching task [24,25]...
    • ...The results are approximately in accordance with the following studies: Wang et al. demonstrated that intended movement directions can be predicted by recording EEG from posterior parietal areas [23]; Bradberry et al. showed that the sensorimotor area is important for hand velocity decoding [24]; And Vaillancourt DE et al. presented that the parietal and premotor cortex are associated with visuomotor processes [36]...
    • ...Until now, many decoding algorithms have been used to reconstruct hand velocities, such as linear filter in the study of Bradberry et al. [24] and Kalman filter in the research of Wu et al. [37]...
    • ...As the most related work, hand velocity was reconstructed from EEG during a 3-D center-out reaching task, and a very close CC (0.29) was obtained [24]...
    • ...Moreover, we would like to compare the experimental paradigms in this paper and that in [24] as below: (i) In [24], the center-out task is a 3D reaching movement, in which the subject moved his hand from a fixed starting point (center) to one of the 8 stationary targets, and then moved his hand back to the center...
    • ...Moreover, we would like to compare the experimental paradigms in this paper and that in [24] as below: (i) In [24], the center-out task is a 3D reaching movement, in which the subject moved his hand from a fixed starting point (center) to one of the 8 stationary targets, and then moved his hand back to the center...
    • ...Therefore, compared to [24], the starting point, the end point and the length of each point-to-point movement in our experiments were less constrained...
    • ...It has been reported in [24] that the variabilities of movement time and movement length...
    • ...(ii) In [24], subjects were asked to perform multi-joint movements of the upper limb...

    Jun Lvet al. Decoding hand movement velocity from electroencephalogram signals duri...

    • ...A linear decoder with memory was used for predicting the elbow joint velocity and the EMG envelope from the EEG data [5]...

    R. Brent Gillespieet al. Toward improved sensorimotor integration and learning using upper-limb...

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