Журнал биомедицинской инженерии и медицинских устройств
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Identification of Artefacts Observed in EEG Signals Obtained from Human Brain Using Emotiv EPOC Headset and Artefacts Removing Techniques in Signal Pre-Processing Stage of Brain Computer Interface

Sikandar Qammar*, Ayimen Khalid Khan

BCI is a type of communication system that allows humans to communicate with their environment by using control signals produced from EEG activity, without the involvement of peripheral nerves and muscles. A BCI is characterized as a tool that measures brain or central nervous system activity and transforms these signals into artificial output. Robotics and advanced mechatronics have played a significant role in the development of assistive technologies to help people overcome a large range of disabilities. There are several techniques available and currently being experimented upon in various research and development setups for obtaining signals from the brain for further processing and utilizing with appropriate BCIs for multiple applications in the biomedical field, however, the most suitable in terms of cost effectiveness, safety protocols and Information Classification: General acceptable resolution is the EEG. This article identifies various artefacts observed in an EEG signal which need further filtration before it can be used for a certain application. In addition to this identification, this article elaborates the techniques and that can be used for this purpose.