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Artificial Intelligence-Based Brain-Computer Interface
Language: English
Published by Elsevier Science & Technology, 2022
ISBN 10: 0323911978 ISBN 13: 9780323911979
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 147.97
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Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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Condition: New.
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Artificial Intelligence-Based Brain-Computer Interface
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 163.71
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Add to basketCondition: New. In.
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Artificial Intelligence-based Brain-computer Interface
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: As New. Unread book in perfect condition.
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Artificial Intelligence-based Brain-computer Interface
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Artificial Intelligence-Based Brain-Computer Interface
Language: English
Published by Elsevier Science and Technology, GB, 2022
ISBN 10: 0323911978 ISBN 13: 9780323911979
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
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Add to basketPaperback. Condition: New. 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.
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Condition: New. 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 disorders Int.
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Artificial Intelligence-Based Brain-Computer Interface
Language: English
Published by Elsevier Science and Technology, GB, 2022
ISBN 10: 0323911978 ISBN 13: 9780323911979
£ 191.34
£ 65 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback. Condition: New. 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.
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Artificial Intelligence-Based Brain-Computer Interface
Language: English
Published by Elsevier Science & Technology Mär 2022, 2022
ISBN 10: 0323911978 ISBN 13: 9780323911979
Taschenbuch. Condition: Neu. Neuware - 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.
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Condition: new. Questo è un articolo print on demand.
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Paperback. Condition: Brand New. 376 pages. 9.00x7.50x0.75 inches. In Stock. This item is printed on demand.
