Artificial intelligence applications for brain-computer interfaces /
"Artificial Intelligence Applications for Brain-Computer Interfaces focuses on the advancements, challenges, and prospects of future technologies involving noninvasive brain-computer interfaces (BCIs). It includes the processing and analysis of multimodal signals, integrated computation-acquisi...
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| Other Authors: | , , , |
| Format: | eBook |
| Language: | English |
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London ; San Diego, CA:
Academic Press, an imprint of Elsevier,
[2025]
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| Series: | Artificial intelligence applications in healthcare and medicine
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Introduction to brain-computer interface: research trends and applications
- Preprocessing and feature extraction techniques for brain-computer interface
- Emotional state monitoring and applications with brain-computer interfaces
- Hand kinematics and decoding hindlimb kinematics using local field potentials using a deep neural network decoding framework
- Closed-loop brain-computer interfaces for musculoskeletal impulse prediction
- Classification of motor imagery tasks in brain-computer interface using ensemble learning
- The application of brain-computer interface in Alzheimer's disease studies based on machine learning algorithms
- Brain-computer interfaces and deep learning methods for cognitive impairments
- Prospects and challenges in decoding consumer behavior using neurotechnology
- Electroencephalography-based emotion recognition with empirical mode decomposition and ensemble machine learning methods
- Brain-computer interfaces for security and authentication
- A case study on artificial intelligence based data processing in passive brain-computer interface
- Analyzing eyewitness refognition accuracy using event-related potential and eye-tracking analysis: an experimental investigation
- Ambient assisted living through passive brain-computer interface technology for assisting paralyzed people
- Challenges and future directions in brain-computer interface research for exoskeletons usage.