Expanding Senses using Neurotechnology , m. 1 Buch, m. 1 E-Book : Volume 1 - Foundation of Brain-Computer Interface Technology (2025. xiii, 419 S. XIII, 419 p. 142 illus., 125 illus. in color. 235 m)

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Expanding Senses using Neurotechnology , m. 1 Buch, m. 1 E-Book : Volume 1 - Foundation of Brain-Computer Interface Technology (2025. xiii, 419 S. XIII, 419 p. 142 illus., 125 illus. in color. 235 m)

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Full Description

This book is an essential guide for students, researchers, and professionals in the interdisciplinary field of neurotechnology. This comprehensive volume delves into the intricate world of brain signal acquisition, exploring both invasive and non-invasive techniques like EEG, fNIRS, fMRI, and DBS. Through case studies, including groundbreaking communication systems for ALS patients and neurofeedback mechanisms, readers will learn how theoretical concepts are transformed into life-changing technologies.

The book traces the historical milestones of neurotechnology and discusses the latest advancements in brain signal processing and neurostimulation techniques. Readers will gain an understanding of how machine learning models enhance neurotechnology applications and how ethical considerations shape the future of this rapidly evolving field.

This book offers invaluable insights into the tools, techniques, and applications that are revolutionizing the way we understand and interact with the human brain. Join us on a journey through the past, present, and future of neurotechnology, and discover how this fascinating field is poised to transform healthcare, enhance human capabilities, and improve the quality of life for millions worldwide.

This book contains 120 questions and answers: Download the Springer Nature Flashcards App free of charge and use exclusive additional material to test your knowledge.

Contents

Chapter 1. Introduction to Neurotechnology: History and Interdisciplinary Innovations.- Chapter 2. Non-Invasive Brain Signal Acquisition Techniques : Exploring EEG, EOG, fNIRS, fMRI, MEG, and fUS.- Chapter 3. Invasive Brain Signal Acquisition Techniques: SUA, MUA, LFP, ECoG in Neuroimaging and Recording.- Chapter 4. Preprocessing Techniques for Brain Signal Data: Noise Reduction and Artifact Removal Methods.- Chapter 5. Machine Learning with Brain Data: Feature Engineering and Analysis Methods.- Chapter 6. Neuromodulation in Neural Circuits: Neurotransmitters and Synaptic Plasticity.- Chapter 7. Invasive Brain Stimulation Techniques: DBS for Neurological and Psychiatric Disorders.- Chapter 8. Non-Invasive Brain Stimulation Techniques: TMS, tDCS, and tACS Methods.- Chapter 9. Brain Stimulation Theory and Techniques: Comparative Analysis and Applications.- Chapter 10. Neurofeedback Basics and Applications: Techniques, Benefits, and Ethical Considerations.- Chapter 11. Neurotechnology for Communication: ALS Patient Case Study and BCI Development.

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