access icon free Novel eye-blink artefact detection algorithm from raw EEG signals using FCN-based semantic segmentation method

© The Institution of Engineering and Technology
Received 23/12/2019, Accepted 12/06/2020, Revised 05/05/2020, Published 17/06/2020

Electroencephalography (EEG) signal artefacts cause some problems in processing and analysis of EEG signals. There are several options in the literature to identify artefacts in signal areas. However, high accuracy level in artefact detection was not achieved with these methods. New methods are needed to increase the level of accuracy. Semantic segmentation algorithms, which are widely used in image processing, were used for the first time in this study to detect eye-blink artefacts in EEG signals. In the proposed method, EEG recordings obtained from four channels were divided into 10-s segments. These segments were converted into images in 256 × 256 resolution and were labelled as eye-blink, not-blink and background. The algorithm was trained with these labelled images. The trained algorithm was tested with images containing 1630 eye-blink and not-blink signal segments obtained from single-channel and multi-channel EEG signals. Classification accuracy of the algorithm was 94.4%. The proposed method successfully detected eye-blink artefacts in simultaneous multi-channel signal images.

Inspec keywords: eye; electroencephalography; image segmentation; semantic networks; medical signal detection

Other keywords: not-blink signal segments; FCN-based semantic segmentation method; multichannel EEG signals; raw EEG signals; image processing; electroencephalography signal artefacts; single-channel EEG signals; eye-blink signal segments; eye-blink artefact detection algorithm

Subjects: Biology and medical computing; Electrical activity in neurophysiological processes; Digital signal processing; Electrodiagnostics and other electrical measurement techniques; Bioelectric signals; Signal detection; Knowledge engineering techniques; Physiology of the eye; nerve structure and function

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