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Upper limb prostheses are increasingly resembling the limbs they seek to replace in both form and functionality, including the design and development of multifingered hands and wrists. Hence, it becomes necessary to control large numbers of degrees of freedom (DOFs), required for individuated finger movements, preferably using noninvasive signals. While existing control paradigms are typically used...
Previous efforts in brain-machine interfaces (BMI) have looked at decoding movement intent or hand and arm trajectory, but current cortical control strategies have not focused on the decoding of 3 actions such as finger movements. The present work demonstrates the asynchronous decoding (i.e., where cues indicating the onset of movement are not known) of individual and combined finger movements. Single-unit...
Advances in brain-computer interfaces (BCI) will require the integration of haptic feedback channels to add extra sensory dimensions for applications such as neuroprostheses. To the best of our knowledge, previous BCIs have relied on visual biofeedback to the user in the form of a computer interface or a device. This study demonstrates that it is possible to operate a BCI using only vibrotactile biofeedback...
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