D2.1 Requirements and Specification - CORBYS
D2.1 Requirements and Specification - CORBYS
D2.1 Requirements and Specification - CORBYS
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<strong>D2.1</strong> <strong>Requirements</strong> <strong>and</strong> <strong>Specification</strong><br />
Figure 42: Example EEG artefacts<br />
15.4 The Role of EEG Artefacts in NonInvasive BCIs<br />
One of the most important aspects in biomedical signal processing is to acquire knowledge about noise <strong>and</strong><br />
artefacts in order to minimise them. Artefacts are undesirable signals that can occur in the signal acquisition<br />
process <strong>and</strong> interfere with neurological phenomena. They may change the characteristics of EEG signal,<br />
limiting the accurate evaluation of the running brain processes, <strong>and</strong> be even incorrectly used as the source<br />
control in BCI systems (Fatourechi et al, 2007). This is the reason why it is of upmost importance to develop<br />
automatic computer based methods that h<strong>and</strong>le with artefacts, <strong>and</strong> this technology is a fundamental<br />
requirement for a BCI system (Srnmo & Laguna, 2005). In EEG recordings (<strong>and</strong> as a consequence in EEG-<br />
BCI systems) a wide range of artefacts can occur. While some of these artefacts can be easily identified, there<br />
are others that may have similar characteristics to the neural activity <strong>and</strong> result extremely difficult to<br />
recognise. One possible categorisation of artefacts is based on their origin: technical (originated from outside<br />
the human body, such as the 50/60 Hz power-line noise, changes in electrode impedances, etc); <strong>and</strong><br />
physiological (arising from a variety of bodily activities, such as potentials introduced by eye or body<br />
movements, muscular activity, cardiac activity, etc. Below (figure 4) some examples of artefacts are shown.<br />
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