Artificial Intelligence and BCIs in Healthcare
Editat de Chandra P. Sharma, Vinoy Thomas, Arie Nakhmani, Rachel June Smithen Limba Engleză Paperback – iun 2025
- Presents material integration
- Covers rehabilitation and other healthcare-related applications
- Includes regulatory guidelines
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Specificații
ISBN-13: 9780443264665
ISBN-10: 044326466X
Pagini: 300
Dimensiuni: 191 x 235 mm
Editura: ELSEVIER SCIENCE
ISBN-10: 044326466X
Pagini: 300
Dimensiuni: 191 x 235 mm
Editura: ELSEVIER SCIENCE
Cuprins
Section 1: Fundamentals
1. Introduction
2. Brain-Computer Interfaces (BCI)
3. Signal Acquisition, Signal Processing, and Modeling
4. Artificial Intelligence in BCI
5. Big Data and BCI
6. Engineering materials in BCI
7. Noninvasive Sensors in BCI
8. Non-Invasive Therapies in BCI
9. Redefining the Paradigm of Medical Practice with Artificial Intelligence and BCI
Section 2: Applications
10. Machine Learning Approach to Imaging-Based Classification of Neurodevelopmental Disorders
11. Tricking the Brain for Non-Invasive Therapies: Smart Mazes
12. Early Diagnostics in Neurodiversity Using AI
13. Applications of Ultrasound and other Non-Invasive Techniques in Brain Stimulation and Imaging
14. BCI, Neuromodulation, and Neurorehabilitation Techniques
15. Fibromyalgia: Understanding the Brain Circuitry Using AI
16. Internet of Things and BCI Related Point of Care Device Applications
17. The Study of Stimulation-Evoked potentials in BCI
18. AI for Sleep Analysis and Diagnostics: Current Perspectives and Future Directions
19. Enhancing Patient Safety in Dialysis Care through Human-Computer Interactions
Section 3: Regulatory Issues
20. Pain Management using AI
21. Future Challenges and Perspectives
1. Introduction
2. Brain-Computer Interfaces (BCI)
3. Signal Acquisition, Signal Processing, and Modeling
4. Artificial Intelligence in BCI
5. Big Data and BCI
6. Engineering materials in BCI
7. Noninvasive Sensors in BCI
8. Non-Invasive Therapies in BCI
9. Redefining the Paradigm of Medical Practice with Artificial Intelligence and BCI
Section 2: Applications
10. Machine Learning Approach to Imaging-Based Classification of Neurodevelopmental Disorders
11. Tricking the Brain for Non-Invasive Therapies: Smart Mazes
12. Early Diagnostics in Neurodiversity Using AI
13. Applications of Ultrasound and other Non-Invasive Techniques in Brain Stimulation and Imaging
14. BCI, Neuromodulation, and Neurorehabilitation Techniques
15. Fibromyalgia: Understanding the Brain Circuitry Using AI
16. Internet of Things and BCI Related Point of Care Device Applications
17. The Study of Stimulation-Evoked potentials in BCI
18. AI for Sleep Analysis and Diagnostics: Current Perspectives and Future Directions
19. Enhancing Patient Safety in Dialysis Care through Human-Computer Interactions
Section 3: Regulatory Issues
20. Pain Management using AI
21. Future Challenges and Perspectives