Artificial Intelligence and BCIs in Healthcare
Editat de Chandra P. Sharma, Vinoy Thomas, Arie Nakhmani, Rachel June Smithen Limba Engleză Paperback – aug 2025
- Presents material integration
- Covers rehabilitation and other healthcare-related applications
- Includes regulatory guidelines
Preț: 825.49 lei
Preț vechi: 907.13 lei
-9% Nou
Puncte Express: 1238
Preț estimativ în valută:
157.98€ • 164.72$ • 131.29£
157.98€ • 164.72$ • 131.29£
Carte nepublicată încă
Doresc să fiu notificat când acest titlu va fi disponibil:
Se trimite...
Preluare comenzi: 021 569.72.76
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. 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
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