Although dynamic non-dominated sorting algorithm II (DNSGA-II) is a well-known dynamic evolutionary multi-objective optimization algorithm, it lacks memory ability. For this reason, we propose a memory enhanced DNSGA-...
详细信息
In this study we show how healthy subjects are able to use a non-invasive Motor Imagery (MI)-based braincomputer Interface (BCI) to achieve linear control of an upper-limb neuromuscular electrical stimulation (NMES) ...
详细信息
In this study we show how healthy subjects are able to use a non-invasive Motor Imagery (MI)-based braincomputer Interface (BCI) to achieve linear control of an upper-limb neuromuscular electrical stimulation (NMES) controlled neuroprosthesis in a simple binary target selection task. Linear BCI control can be achieved if two motor imagery classes can be discriminated with a reliability over 80% in single trial. The results presented in this work show that there was no significant loss of performance using the neuroproshesis in comparison to MI where no stimulation was present. However, it is remarkable how different the experience of the users was in the same experiment. The stimulation either provoked a positive reinforcement feedback, or prevented the user from concentrating in the task.
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