1. Introduction
An EEG signal is the recording of neural electrical activities caused by nerve firings. Typically, EEG signals, carrying information about rhythmic activities at different frequency bandwidths of δ—delta (0.5–4 Hz), θ—theta (4–8 Hz), α—alpha (8–13 Hz), β—beta(13–30 Hz) and γ—gamma (30–50 Hz) [1], [2] and [3], are recorded using electrodes placed across the scalp. EEG waveforms are characterized by three components, including shape, frequency, and amplitude. Based on those components, useful signatures/features in brain signals can be extracted by various techniques. However, EEG recordings are usually contaminated by physiological artifacts from various sources, such as eye blinking/movement, heart beating and movement of other muscle groups [4]. Such types of artifacts are mixed together with brain signals, making interpretation of EEG signals difficult [5].
1. IntroductionAn EEG signal is the recording of neural electrical activities caused by nerve firings. Typically, EEG signals, carrying information about rhythmic activities at different frequency bandwidths of δ—delta (0.5–4 Hz), θ—theta (4–8 Hz), α—alpha (8–13 Hz), β—beta(13–30 Hz) and γ—gamma (30–50 Hz) [1], [2] and [3], are recorded using electrodes placed across the scalp. EEG waveforms are characterized by three components, including shape, frequency, and amplitude. Based on those components, useful signatures/features in brain signals can be extracted by various techniques. However, EEG recordings are usually contaminated by physiological artifacts from various sources, such as eye blinking/movement, heart beating and movement of other muscle groups [4]. Such types of artifacts are mixed together with brain signals, making interpretation of EEG signals difficult [5].
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