Evolution of brain-computer interface technologies for stroke rehabilitation: a bibliometric integration of neural decoding and functional recovery (2016-2025). [PDF]
Pan Y, Huang Y, Bao M, Sun X.
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A group brain-controlled method for UAVs using a hybrid paradigm of hand movements and visual evoked potentials. [PDF]
Li R +6 more
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Intermittent theta burst stimulation enhances the efficacy of brain-computer interface in upper limb rehabilitation post-stroke. [PDF]
Xia X +9 more
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Haptic Brain-Computer-Interfaces (BCI) in Stroke
Murguialday, Ander Ramos +10 more
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Advancing stroke rehabilitation: the potential and challenges of closed-loop brain-computer interface technology. [PDF]
Cheng Y +5 more
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Advances in the Application of Brain-Computer Interface-Based Neurofeedback Training in the Rehabilitation of Patients with Major Depressive Disorder. [PDF]
Liu J, Liu L, Chen H, Xuan S, Leng X.
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EEG vs. Hybrid EEG-fNIRS BCI for FES Control in Healthy Subjects: A Blind Randomized Study and an Open Dataset. [PDF]
Mokienko O +9 more
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From deep brain stimulation to brain-computer interfaces: current progress in implantable neurotechnology. [PDF]
Mavrych V +3 more
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fNIRS dataset of motor hand-gripping activity using the NIRSport2 system. [PDF]
Akhter J, Nazeer H, Naseer N.
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Vision Restoration to People with Long-Term Blindness Using the Brain-Computer Interface Technology: A Sociotechnical Research Framework to Improve Usefulness for Users. [PDF]
Smutny Z, Hudec M, Kožuh I.
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