Abstract
HYGRIP: Full-Stack Characterization of Neurobehavioral Signals (fNIRS, EEG, EMG, Force, and Breathing) During a Bimanual Grip Force Control Task.
Highlights
PARTICIPANTSBrain-computer interfaces (BCIs) offer communication pathways for people with motor disorders to regain agency in their body and environment (Wolpaw et al, 2002)
Non-invasive BCIs have succeeded in the continuous control of trajectories after users learned to modulate eventrelated desynchronization (ERD) (Wolpaw and McFarland, 2004; Royer et al, 2010; Meng et al, 2016)
In the hybrid case of recording cortical brain signals non-invasively, by combining EEG and functional nearinfrared spectroscopy, Yin et al (2015) showed that the combination of both measures increased the classification accuracies of different forces featured during imagined hand clenching by 1–5% compared to EEG or functional near-infrared spectroscopy (fNIRS) alone
Summary
PARTICIPANTSBrain-computer interfaces (BCIs) offer communication pathways for people with motor disorders to regain agency in their body and environment (Wolpaw et al, 2002). The positions in the 5 × 5 grid marked in red in Figure 1B correspond to the physical location of EEG electrodes and the approximate recording areas of EEG electrodes and fNIRS source-detector pairs.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
