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Advances in Neural Engineering: Signal Processing Strategies, Volume One in a two volume-set covers the broad spectrum of neural engineering subfields and applications and provides a comprehensive review of dominant feature extraction methods and classification algorithms in the brain-computer interfaces for motor imagery tasks. In addition, the authors discuss existing challenges in the domain of motor imagery brain-computer interface and suggest possible research directions. Neural engineering is an emerging and fast-moving interdisciplinary research area that combines engineering with (a) electronic and photonic technologies, (b) computer science, (c) physics, (d) chemistry, (e) mathematics, and (f) cellular, molecular, cognitive, and behavioral neuroscience. This helps us understand the organizational principles and underlying mechanisms of the biology of neural systems and further study the behavioral dynamics and complexity of neural systems in nature.