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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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