motor imagery

Design a Novel BCI for Neurorehabilitation Using Concurrent LFP and EEG Features: A Case Study

Author(s): Yi Sun, Yu Qi, Yueming Wang, Cuntai Guan, Yu Sun
Design a Novel BCI for Neurorehabilitation Using Concurrent LFP and EEG Features: A Case Study IEEE Transactions on Biomedical Engineering (TBME)
This work introduced for the first time a novel BCI that incorporate both intracortical LFP and scalp EEG (named, LFP-EEG-BCI) for motor intention decoding during neurorehabilitation. Concurrent intracortical and scalp signals were collected from a paraplegic patient undergoing motor imagery (MI) neurorehabilitation training. A common spatial filter approach was adopted for feature extraction and a decision fusion strategy was further introduced to obtain the decoding results. Transfer learning approach was also utilized to reduce the calibration. The proposed novel LFP-EEG-BCI may lead to new directions for developing practical neurorehabilitation systems in clinical applications. read more

Brain-Computer Interface-based Soft Robotic Glove Rehabilitation for Stroke

Author(s): Nicholas Cheng, Kok Soon Phua, Hwa Sen Lai, Pui Kit Tam, Ka Yin Tang, Kai Kei Cheng, Raye Chen-Hua Yeow, Kai Keng Ang, Jeong Hoon Lim
Brain-Computer Interface-based Soft Robotic Glove Rehabilitation for Stroke 170 177 IEEE Transactions on Biomedical Engineering (TBME)
This paper presents the results of a study involving the use of a Brain-Computer Interface-based Soft Robotic Glove as a novel strategy in stroke rehabilitation. The technology uses the electroencephalogram signals from stroke patients to drive the assistive actions of the soft robotic glove to assist them in physically carrying out activities of daily living. The two-arm study showed prolonged improvements in FMA and ARAT scores although no significant intergroup differences were observed during the study. In addition, all of the patients in the BCI-SRG group also experienced a vivid kinesthetic illusion lasting beyond the active intervention period. read more
3-Dimensional Brain-Computer Interface Control through Simultaneous Overt Spatial Attentional and Motor Imagery Tasks

Three-Dimensional Brain-Computer Interface Control through Simultaneous Overt Spatial Attentional and Motor Imagery Tasks

Author(s): Jianjun Meng, Taylor Streitz, Nicholas Gulachek, Daniel Suma, Bin He
Three-Dimensional Brain-Computer Interface Control through Simultaneous Overt Spatial Attentional and Motor Imagery Tasks 170 177 IEEE Transactions on Biomedical Engineering (TBME)

Brain-computer interfacing (BCI) is a promising method for providing alternative connections between the brain and the outside world in concert with natural connections or re-establishing natural limb movement in cases…

read more

EEG Source Imaging Enhances the Decoding of Complex Right Hand Motor Imagery Tasks

Author(s): Bradley J. Edelman, Bryan Baxter, Bin He
EEG Source Imaging Enhances the Decoding of Complex Right Hand Motor Imagery Tasks 170 177 IEEE Transactions on Biomedical Engineering (TBME)

Bradley J. Edelman, Bryan Baxter, Bin He, University of Minnesota, USA Brain-computer interfaces (BCIs) based on sensorimotor rhythms (SMRs) have achieved successful control of real and virtual devices in up to…

read more