Pub. Date:
The Institution of Engineering and Technology
Neurotechnology: Methods, advances and applications

Neurotechnology: Methods, advances and applications


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This book focuses on recent advances and future trends in the methods and applications of technologies that are used in neuroscience for the evaluation, diagnosis and treatment of neurological diseases and conditions or for the improvement of quality of life. The editors have assembled contributions from a range of international experts, to bring together key topics in neurotechnology, neuroengineering, and neurorehabilitation. The book explores biomedical signal processing, neuroimaging acquisition and analysis, computational intelligence, virtual and augmented reality, biometrics, machine learning and neurorobotics, human machine interaction, mobile apps and discusses ways in which these neural technologies can be used as diagnostic tools, research methods, treatment modalities, as well as in devices and apps in everyday life.

This cross-disciplinary topic is of particular interest to researchers and professionals with a background in neuroscience-related disciplines and neurotechnology, but also touches on a wide range of other fields including biomedical engineering, AI, medicine, healthcare, security and industry, among others.

Product Details

ISBN-13: 9781785618130
Publisher: The Institution of Engineering and Technology
Publication date: 07/13/2020
Series: Healthcare Technologies Series
Pages: 312
Product dimensions: 6.14(w) x 9.21(h) x (d)

About the Author

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.

Table of Contents

  • 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

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