Artificial Intelligence and Brain-Computer Interfaces in Healthcare
portes grátis
Artificial Intelligence and Brain-Computer Interfaces in Healthcare
Smith, Rachel June; Sharma, Chandra P.; Thomas, Vinoy; Nakhmani, Arie
Elsevier Science Publishing Co Inc
03/2026
413
Mole
Inglês
9780443264665
Pré-lançamento - envio 15 a 20 dias após a sua edição
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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
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Artificial Intelligence; BCIs; Big Data; Machine Learning; Signal Processing; IoT; Patient Safety; Medical Practice; Ultrasound; Imaging
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
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
