Neurotechnology

Victor Hugo C. de Albuquerque [M'17, SM'19] is a professor and senior researcher at the University of Fortaleza (UNIFOR), Brazil and director of Data Science at the Superintendency for Research and Public Safety Strategy of Ceará State (SUPESP/CE), Brazil. He has a Ph.D. in mechanical engineering from the Federal University of Paraíba, an M.Sc. in teleinformatics engineering from the Federal University of Cearaá, and he graduated in mechatronics engineering at the Federal Center of Technological Education of Ceará. He is currently a full professor of the Graduate Program in Applied Informatics of UNIFOR and leader of the Industrial Informatics, Electronics and Health Research Group (CNPq). He is an expert, mainly, in IoT, machine/deep learning, pattern recognition, and robotics. Alkinoos Athanasiou is a board-certified neurosurgeon and a post-doc researcher at the Medical Physics Lab, School of Medicine, Aristotle University of Thessaloniki, Greece. He is employed as associated scientific staff at the Hellenic Open University, teaching Neuronal Restoration Engineering. He serves as elected Secretary and member of the administrative board of the Hellenic Society for Biomedical Technology. His research interests lie with neurorehabilitation and neurotechnology. He has been awarded more than 15 research grants and awards in total. Sidarta Ribeiro is a professor of neuroscience and director of the Brain Institute at the Federal University of Rio Grande do Norte, Brazil. He has considerable experience in the areas of neuroethology, molecular neurobiology, and systems neurophysiology. He currently coordinates the Brazilian committee of the Pew Latin American Fellows Program in the Biomedical Sciences, and is a member of the steering committee of the Latin American School of Education, Cognitive and Neural Sciences.

Chapter 1: A brief introduction to neurotechnology: old challenges and new battlegrounds
Chapter 2: Current trends of biomedical signal processing in neuroscience
Chapter 3: Neuroimage acquisition and analysis
Chapter 4: Virtual and augmented reality in neuroscience
Chapter 5: EEG-based biometric systems
Chapter 6: The evolution of passive brain-computer interfaces: enhancing the human-machine interaction
Chapter 7: Neurorobotics: review of underlying technologies, current developments, and future directions
Chapter 8: Mobile apps for neuroscience
Chapter 9: Ideas for a school of the future