Studies on Electroencephalogram for Upper Limb Rehabilitation

Abstract

Upper limb movement decoding from electroencephalogram (EEG) signals is an emerging field that has gained increasing attention over the past few years for its application in healthcare. It involves EEG signals to predict and control upper limb movements, which can benefit patients with motor impairments. This survey provides a comprehensive overview of the current state-of-the-art techniques and applications of EEG-based upper limb movement for different societal benefits. The second section of the survey discusses EEG signal characteristics and acquisition, as well as different steps involved in processing motor imagery signals for upper limb rehabilitation. The third section of the survey examines the applications of EEG-based on upper limb movement decoding for a better quality of life and societal welfare. The fourth section focuses on the technical and practical challenges, emerging trends, and future research directions, followed by concluding remarks in the fifth section.