EEG-Based BCIs on Motor Imagery Paradigm Using Wearable Technologies: A Systematic Review.

ABSTRACT: In recent decades, the automatic recognition and interpretation of brain waves acquired by electroencephalographic (EEG) technologies have undergone remarkable growth, leading to a consequent rapid development of brain-computer interfaces (BCIs). EEG-based BCIs are non-invasive systems that allow communication between a human being and an external device interpreting brain activity directly. Thanks to the advances in neurotechnologies, and especially in the field of wearable devices, BCIs are now also employed outside medical and clinical applications. Within this context, this paper proposes a systematic review of EEG-based BCIs, focusing on one of the most promising paradigms based on motor imagery (MI) and limiting the analysis to applications that adopt wearable devices. This review ai

SUBMITTER: Saibene A 

PROVIDER: S-EPMC10007053 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature