University thesis:
Dissertation, Georg-August-Universität Göttingen, 2016
Footnote:
Description:
In recent years, brain-computer interface (BCI) has been developing as a communication and rehabilitation tool for patients with neurological diseases, such as stroke and spinal cord injury. This system decodes the user's intention from the brain signal, e.g. electroencephalography (EEG), and translates it into device commands. For either rehabilitation or communication system based on BCI, the latency of decoding algorithms is the fundamental factor which directly determines the system's performance. In this thesis, movement-related cortical potentials (MRCP) were investigated as the signa...