Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/163767
Title: Design a novel BCI for neurorehabilitation using concurrent LFP and EEG features: a case study
Authors: Feng, Zhao
Sun, Yi
Qian, Linze
Qi, Yu
Wang, Yueming
Guan, Cuntai
Sun, Yu
Keywords: Science::Medicine
Issue Date: 2021
Source: Feng, Z., Sun, Y., Qian, L., Qi, Y., Wang, Y., Guan, C. & Sun, Y. (2021). Design a novel BCI for neurorehabilitation using concurrent LFP and EEG features: a case study. IEEE Transactions On Biomedical Engineering, 69(5), 1554-1563. https://dx.doi.org/10.1109/TBME.2021.3115799
Journal: IEEE Transactions on Biomedical Engineering
Abstract: Brain-computer interfaces (BCI) that enables people with severe motor disabilities to use their brain signals for direct control of objects have attracted increased interest in rehabilitation. To date, no study has investigated feasibility of the BCI framework incorporating both intracortical and scalp signals.
URI: https://hdl.handle.net/10356/163767
ISSN: 0018-9294
DOI: 10.1109/TBME.2021.3115799
Schools: School of Computer Science and Engineering 
Rights: © 2021 IEEE. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Journal Articles

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