Artificial Intelligence and BCIs in Healthcare discusses the essentials of state-of-the-art brain signal analysis, AI, and BCIs available today. This book is an ideal bridge of these emerging technologies. Divided into three sections, the chapters cover the Fundamentals, Applications, and Regulatory Issues facing healthcare systems today. Artificial Intelligence and BCIs in Healthcare fills a gap in literature available to researchers and may also be of interest to clinicians.
Artificial Intelligence and BCIs in Healthcare discusses the essentials of state-of-the-art brain signal analysis, AI, and BCIs available today. This book is an ideal bridge of these emerging technologies. Divided into three sections, the chapters cover the Fundamentals, Applications, and Regulatory Issues facing healthcare systems today. Artificial Intelligence and BCIs in Healthcare fills a gap in literature available to researchers and may also be of interest to clinicians.
Section 1: Fundamentals 1. Introduction 2. Brain-Computer Interfaces (BCI) 3. Signal Acquisition, Signal Processing, and Modeling 4. Artificial Intelligence in BCI 5. Engineering materials in BCI 6. Noninvasive Sensors in BCI 7. Non-Invasive Therapies in BCI 8. Redefining the Paradigm of Medical Practice with Artificial Intelligence and BCI Section 2: Applications 9. Machine Learning Approach to Imaging-Based Classification of Neurodevelopmental Disorders 10. Tricking the Brain for Non-Invasive Therapies: Smart Mazes 11. Early Diagnostics in Neurodiversity Using AI 12. Applications of Ultrasound and other Non-Invasive Techniques in Brain Stimulation and Imaging 13. BCI, Neuromodulation, and Neurorehabilitation Techniques 14. Fibromyalgia: Understanding the Brain Circuitry Using AI 15. Internet of Things and BCI Related Point of Care Device Applications 16. The Study of Stimulation-Evoked potentials in BCI 17. AI for Sleep Analysis and Diagnostics: Current Perspectives and Future Directions 18. Enhancing Patient Safety in Dialysis Care through Human-Computer Interactions Section 3: Regulatory Issues 19. Pain Management using AI 20. Future Challenges and Perspectives
Section 1: Fundamentals 1. Introduction 2. Brain-Computer Interfaces (BCI) 3. Signal Acquisition, Signal Processing, and Modeling 4. Artificial Intelligence in BCI 5. Engineering materials in BCI 6. Noninvasive Sensors in BCI 7. Non-Invasive Therapies in BCI 8. Redefining the Paradigm of Medical Practice with Artificial Intelligence and BCI Section 2: Applications 9. Machine Learning Approach to Imaging-Based Classification of Neurodevelopmental Disorders 10. Tricking the Brain for Non-Invasive Therapies: Smart Mazes 11. Early Diagnostics in Neurodiversity Using AI 12. Applications of Ultrasound and other Non-Invasive Techniques in Brain Stimulation and Imaging 13. BCI, Neuromodulation, and Neurorehabilitation Techniques 14. Fibromyalgia: Understanding the Brain Circuitry Using AI 15. Internet of Things and BCI Related Point of Care Device Applications 16. The Study of Stimulation-Evoked potentials in BCI 17. AI for Sleep Analysis and Diagnostics: Current Perspectives and Future Directions 18. Enhancing Patient Safety in Dialysis Care through Human-Computer Interactions Section 3: Regulatory Issues 19. Pain Management using AI 20. Future Challenges and Perspectives
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