Abstract | With rapid progress of technology, research on Brain-Computer Interfaces (BCIs) assistive devices has experienced abundant growth over the last two decades and its importance and position has been proved and influenced by many scientists, professionals and researchers in many applications such as electronics, physics, biochemistry, signal and image processing, integrated sensors-actuators and more. Both invasive and non-invasive BCIs have demonstrated the possibility of decoding motor control parameters obtained from different sources (e.g., electroencephalography (EEG), magnetoencephalography (MEG), etc.) that involves kinematics, movement and grasping patterns. BCIs have made significant progress in enabling human subjects to operate wearable devices, by measures of neural and physiological activity, in a continuous and independent way. Notwithstanding these advances, several challenges need to be overcome for these systems to be ready for use in different environments (e.g., medical applications, entertainment industry, etc.) ranging from stable and robust performance to continuous adaptation to user/system requirements (Millán et al., 2010; Soekadar et al., 2016; Simon et al., 2021; Catalán et al., 2023). This Research Topic is part of the Methods and Protocols in Human Neuroscience series and aims to promote the latest experimental techniques and methods used to investigate fundamental questions in BCIs research. Each paper was reviewed by at least two reviewers with two rounds before acceptance after a rigorous revision process. Three articles were selected for original research and one review article. |
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