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Artificial Intelligence-Based Brain-Computer Interface
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TND 577
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Integrates recent advancements of Artificial Intelligence to the evaluation of large amounts of clinical data for the early detection of disorders and conditions.
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- Artificial Intelligence-Based Brain Computer Interface provides concepts of AI for the modeling of non-invasive modalities of medical signals such as EEG, MRI and FMRI. These modalities and their AI-based analysis are employed in BCI and related applications. The book emphasizes the real challenges in non-invasive input due to the complex nature of the human brain and for a variety of applications for analysis, classification and identification of different mental states. Each chapter starts with a description of a non-invasive input example and the need and motivation of the associated AI methods, along with discussions to connect the technology through BCI.Major topics include different AI methods/techniques such as Deep Neural Networks and Machine Learning algorithms for different non-invasive modalities such as EEG, MRI, FMRI for improving the diagnosis and prognosis of numerous disorders of the nervous system, cardiovascular system, musculoskeletal system, respiratory system and various organs of the body. The book also covers applications of AI in the management of chronic conditions, databases, and in the delivery of health services.Provides readers with an understanding of key applications of Artificial Intelligence to Brain-Computer Interface for acquisition and modelling of non-invasive biomedical signal and image modalities for various conditions and disordersIntegrates recent advancements of Artificial Intelligence to the evaluation of large amounts of clinical data for the early detection of disorders such as Epilepsy, Alcoholism, Sleep Apnea, motor-imagery tasks classification, and othersIncludes illustrative examples on how Artificial Intelligence can be applied to the Brain-Computer Interface, including a wide range of case studies in predicting and classification of neurological disorders
| Publisher | Academic Press |
| Publication date | March 22, 2022 |
| Edition | 1st |
| Language | English |
| Print length | 392 pages |
| ISBN-10 | 0275977900 |
| ISBN-13 | 978-0275977900 |
| Item Weight | 2.1 pounds (950 grams) |
| Dimensions | 7.52 x 0.89 x 9.25 inches (19.1 x 2.3 x 23.5 cm) |
Who Should Buy?
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Researchers and Academics
Perfect for those studying brain-computer interfaces and AI integration, providing essential theoretical and practical insights.
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Medical Professionals
Useful for neurologists and rehabilitation specialists interested in cutting-edge technologies for brain injury and neurological disorders.
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Tech Enthusiasts
Ideal for hobbyists and tech lovers who want to explore the latest developments in AI and neuroscience technologies.
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General Audience
Not suitable for casual readers or those unfamiliar with neuroscience and AI principles seeking simple explanations.
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Varun Bajaj PhD (Editor) Biomedical Engineering Editorial Review
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Pros
- Innovative Technology
- User-friendly Interface
- High Accuracy
- Advanced Applications
- Comprehensive Research
Cons
- Limited Examples
Product Price History
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TND 577
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Features & Benefits
- Utilizes AI for modeling non-invasive medical signals like EEG, MRI, and FMRI
- Applies AI methods for analysis, classification, and identification of mental states
- Covers AI applications in managing chronic conditions and delivering health services
- Incorporates Deep Neural Networks and Machine Learning for prognosis of nervous system disorders
- Provides understanding of AI applications for acquisition and modeling of biomedical signals and images
- Includes examples of AI applied to Brain-Computer Interface for predicting and classifying neurological disorders
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