Enhanced Motor Imagery Based Brain- Computer Interface via FES and VR for Lower Limbs

• Published in: IEEE transactions on neural systems and rehabilitation engineering Vol. 28; no. 8; pp. 1846 - 1855
• Main Authors: Ren, Shixin, Wang, Weiqun, Hou, Zeng-Guang, Liang, Xu, Wang, Jiaxing, Shi, Weiguo
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.08.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accuracy; Brain; Brain computer interface; Classification; Computer applications; Contraction; Electrical stimuli; Electroencephalography; enhanced motor imagery; functional electrical stimulation (FES); Human motion; Human-computer interface; Image enhancement; Implants; Iron; Limbs; Mental task performance; Muscle contraction; Muscles; Neurology; Rehabilitation; rehabilitation training; Task analysis; Virtual reality; Visualization

Motor imagery based brain-computer interface (MI-BCI) has been studied for improvement of patients' motor function in neurorehabilitation and motor assistance. However, the difficulties in performing imagery tasks limit its application. To overcome the limitation, an enhanced MI-BCI based on fu...