2024
DOI: 10.3390/s24154763
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Design Decisions for Wearable EEG to Detect Motor Imagery Movements

Ana Carretero,
Alvaro Araujo

Abstract: The objective of this study was to make informed decisions regarding the design of wearable electroencephalography (wearable EEG) for the detection of motor imagery movements based on testing the critical features for the development of wearable EEG. Three datasets were utilized to determine the optimal acquisition frequency. The brain zones implicated in motor imagery movement were analyzed, with the aim of improving wearable-EEG comfort and portability. Two detection algorithms with different configurations … Show more

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