A Method for Controlling a Brain Computer Interface for Neurocybernetic Applications

摘要

Human computer interfaces (HCI) and their subset - the brain computer interfaces (BCI)- find rapidly increasing number of applications in different fields, such as neurotherapy, robotics, and control of devices for improving the quality of life of the handicapped persons, Beside the necessity of suitable miniature hardware (processor, amplifier, electrodes), convenient signal extraction and decision methods are essential for the functioning of such systems. Here we present a method for controlling different kinds of neurocybernetic applications (NCA) based on the control of slow potentials (SP). The control sequences can be computed according to the used signal, the desired neurocybernetic application, and the available communication interface between the signal acquisition and the control software. Due to the separation between signal analysis and control software, the applications can be exchanged variably. Additionally, the system can be adapted to the specific characteristics and needs of the subject via its modalities.