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Electronic Book

Title Artificial intelligence-based brain-computer interface / edited by Varun Bajaj and G.R. Sinha.

Imprint London ; San Diego, CA : Academic Press, [2022]

Copies

Location Call No. OPAC Message Status
 Axe Elsevier ScienceDirect Ebook  Electronic Book    ---  Available
Description 1 online resource (xv, 376 pages) : illustrations
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Bibliography Includes bibliographical references and index.
Note Description based on print version record.
Summary 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 disorders Integrates 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 others Includes 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.
Subject Artificial intelligence -- Medical applications.
Brain-computer interfaces.
Intelligence artificielle -- Applications en médecine.
Interfaces cerveau-ordinateur.
Artificial intelligence -- Medical applications
Brain-computer interfaces
Added Author Bajaj, Varun, editor.
Sinha, G. R., 1975- editor.
Other Form: Print version: 9780323914123
Print version: 0323911978 9780323911979 (OCoLC)1288670916
ISBN 9780323914123 (electronic bk.)
0323914128 (electronic bk.)
9780323911979
Standard No. AU@ 000070759092
UKMGB 020425830

 
    
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