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2 articles for “Brain Computer Interface (BCI)”
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Steps involved in EEG Signal Analysis for Arm Movement
Abstract: This study delves into the intricacies of analyzing EEG signals associated with arm movement motor imagery. We explore established techniques across three key stages: data pre-processing, feature extraction, and classification for movement identification. By critically evaluating the strengths and weaknesses of each approach, we optimize the analysis pipeline for robust decoding of arm movement intent. This work empowers researchers and practitioners to transform raw EEG data into actionable insights, opening …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 1, 2024 · pp. 43–55 Read article
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Analysis of EEG Signal for Brain Computer Interface
Abstract: Brain-computer interface (BCI) frameworks causes a subject to issue commands to an electronic device just by methods for brain activity. EEG has wide applications in the brain-computer interface (BCI) systems. Sadly, the spatial resolution of EEG is very low, because of the volume conduction. While measuring signals related to motor movements various artefacts also get added. We have studied pre-processing techniques and classification techniques which improve performance. While there are …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 6, Issue 2, 2020 · pp. 6–11 Read article