Motor Disability Assistance Based on Novel Noninvasive Electroencephalographic Decoding

The paper focuses on a new noninvasive electroencephalographic analysis technique for limb movement analysis and its medical applications such as motor disability assistance, motor rehabilitation, etc. The method combines goal selection with process control strategies in the limb movement decoding and control. The goal selection that provides fine accuracy but limited decodable information due to its susceptibility to noise is widely implemented in the current brain-computer interface (BCI) systems. The process control is mainly employed in the invasive electroencephalographic analysis methods, which offers continuous and diverse motor control information. The proposed method based on noninvasive electroencephalographic decoding provides an efficient way for limb movement analysis, which has a great potential value in neuromotor prosthesis control, motor rehabilitation, and others.