Hardware development of brain-machine interface

OData support
Supervisor:
Dr. Ender Ferenc
Department of Electron Devices

The research of tought controlled electronic devices, the so-called brain-machine interfaces, has been a major consideration in the past decade. As a result, it became apparent that a tool can be controlled by the mere idea of the motion, and to achieve this, the signals of the motor cortex in particular should be processed.

The target of this thesis is the development of an EEG-based brain-machine interface. The two-channel system device would be integrated into an easy-to-wear and comfortably woven 3D print headband.

The system design began as a consideration of existing devices on the market, thus it may be an advantage that the device, unlike other available devices, specifically collects information from the brain’s movement center. In addition to the design and construction steps, the dissertation covers the testing of the system, provides a summary of experiences, and suggests directions for further development.

A fully-developed headband is capable of recording and transmitting micro-size EEG signals on two channels within the selected frequency.

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