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Artificial Intelligence-Based Brain-Computer Interface, Bajaj Varun, Sinha G. R.


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Автор: Bajaj Varun, Sinha G. R.
Название:  Artificial Intelligence-Based Brain-Computer Interface
ISBN: 9780323911979
Издательство: Elsevier Science
Классификация:
ISBN-10: 0323911978
Обложка/Формат: Paperback
Страницы: 394
Вес: 0.68 кг.
Дата издания: 08.02.2022
Язык: English
Иллюстрации: 200 illustrations (50 in full color); illustrations, unspecified
Размер: 23.50 x 19.05 x 2.06 cm
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание: Artificial Intelligence-Based Brain Computer Interface provides concepts of AI for modelling 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. This can help to improve the healthcare system through detection, identification, predication, analysis and classification of disease, management of chronic conditions, and delivery of health services. Artificial Intelligence-Based Brain Computer Interface 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 management of chronic condition, databases and delivery of health services. Various brain image modalities are analyzed and capabilities of the human brain will be exploited in BCI applications and case studies. The book presents AI methods for solving real-world problems and challenges in BCI and healthcare systems with the help of appropriate case studies and research results.

Applied Biomedical Engineering Using Artificial Intelligence And Cognitive Models

Автор: Garza Ulloa Jorge
Название: Applied Biomedical Engineering Using Artificial Intelligence And Cognitive Models
ISBN: 0128207183 ISBN-13(EAN): 9780128207185
Издательство: Elsevier Science
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Цена: 176290.00 T
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Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models focuses on the relationship between three different multidisciplinary branches of engineering: Biomedical Engineering, Cognitive Science and Computer Science through Artificial Intelligence models. These models will be used to study how the nervous system and musculoskeletal system obey movement orders from the brain, as well as the mental processes of the information during cognition when injuries and neurologic diseases are present in the human body.

The interaction between these three areas are studied in this book with the objective of obtaining AI models on injuries and neurologic diseases of the human body, studying diseases of the brain, spine and the nerves that connect them with the musculoskeletal system. There are more than 600 diseases of the nervous system, including brain tumors, epilepsy, Parkinson's disease, stroke, and many others. These diseases affect the human cognitive system that sends orders from the central nervous system (CNS) through the peripheral nervous systems (PNS) to do tasks using the musculoskeletal system. These actions can be detected by many Bioinstruments (Biomedical Instruments) and cognitive device data, allowing us to apply AI using Machine Learning-Deep Learning-Cognitive Computing models through algorithms to analyze, detect, classify, and forecast the process of various illnesses, diseases, and injuries of the human body.

Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models provides readers with the study of injuries, illness, and neurological diseases of the human body through Artificial Intelligence using Machine Learning (ML), Deep Learning (DL) and Cognitive Computing (CC) models based on algorithms developed with MATLAB(R) and IBM Watson(R).


Handbook of Artificial Intelligence in Biomedical Engineering

Название: Handbook of Artificial Intelligence in Biomedical Engineering
ISBN: 1771889209 ISBN-13(EAN): 9781771889209
Издательство: Taylor&Francis
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Цена: 137910.00 T
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Описание: Handbook of Artificial Intelligence in Biomedical Engineering focuses on recent AI technologies and applications that provide some very promising solutions and enhanced technology in the biomedical field.

Artificial Intelligence To Solve Pervasive Internet Of Things Issues

Автор: Kaur, Gurjit
Название: Artificial Intelligence To Solve Pervasive Internet Of Things Issues
ISBN: 0128185767 ISBN-13(EAN): 9780128185766
Издательство: Elsevier Science
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Цена: 132500.00 T
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Integrating Artificial Intelligence (AI) is pivotal in increasing the performance of Internet of Things (IoT) devices and systems (i.e., sensors, actuators, and closed-circuit television or video surveillance systems). When these devices/systems are properly configured and implemented, AI can interact with other decentralized IoT devices and systems on the infrastructure. Artificial Intelligence to Solve Pervasive Internet of Things Issues csover wide-ranging technology areas along with their applications and challenges. It also includes architectures, frameworks, applications, best practices, methods and techniques required for integrating AI to resolve IoT issues. These chapters also provide step-by-step measures, practices and solutions to tackle vital decision-making and practical issues affecting IoT technology, including autonomous devices and computerized systems. Such issues range from adopting, mitigating, maintaining, modernizing and protecting AI and IoT infrastructure components such as scalability, sustainability, latency, system decentralization and maintainability. The book enables readers to explore, discover and implement new solutions for integrating AI to solve IoT issues. Resolving these issues will help readers address many real-world applications in areas such as scientific research, healthcare, defense, aeronautics, engineering, social media, and many others.


Biomedical Signal Processing With Artificial Intelligence

Автор: Zgallai, Walid A.
Название: Biomedical Signal Processing With Artificial Intelligence
ISBN: 0128189460 ISBN-13(EAN): 9780128189467
Издательство: Elsevier Science
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Цена: 132500.00 T
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Описание:

Biomedical Signal Processing and Artificial Intelligence in Healthcare is a new volume in the Developments in Biomedical Engineering and Bioelectronics series. This volume covers the basics of biomedical signal processing and artificial intelligence. It explains the role of machine learning in relation to processing biomedical signals and the applications in medicine and healthcare. The book provides background to statistical analysis in biomedical systems. Several types of biomedical signals are introduced and analyzed, including ECG and EEG signals. The role of Deep Learning, Neural Networks, and the implications of the expansion of artificial intelligence is covered. Biomedical Images are also introduced and processed, including segmentation, classification, and detection. This book covers different aspects of signals, from the use of hardware and software, and making use of artificial intelligence in problem solving.

Dr Zgallai's book has up to date coverage where readers can find the latest information, easily explained, with clear examples and illustrations. The book includes examples on the application of signal and image processing employing artificial intelligence to Alzheimer, Parkinson, ADHD, autism, and sleep disorders, as well as ECG and EEG signals. Developments in Biomedical Engineering and Bioelectronics is a 10-volume series which covers recent developments, trends and advances in this field. Edited by leading academics in the field, and taking a multidisciplinary approach, this series is a forum for cutting-edge, contemporary review articles and contributions from key 'up-and-coming' academics across the full subject area. The series serves a wide audience of university faculty, researchers and students, as well as industry practitioners.


Integrating Artificial Intelligence and IoT for Advanced Health Informatics: AI in the Healthcare Sector

Автор: Comito Carmela, Forestiero Agostino, Zumpano Ester
Название: Integrating Artificial Intelligence and IoT for Advanced Health Informatics: AI in the Healthcare Sector
ISBN: 3030911802 ISBN-13(EAN): 9783030911805
Издательство: Springer
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Цена: 130430.00 T
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Описание: The book covers the integration of Internet of Things (IoT) and Artificial Intelligence (AI) to tackle applications in smart healthcare. The authors discuss efficient means to collect, monitor, control, optimize, model, and predict healthcare data using AI and IoT. The book presents the many advantages and improvements in the smart healthcare field, in which ubiquitous computing and traditional computational methods alone are often inadequate. AI techniques are presented that play a crucial role in dealing with large amounts of heterogeneous, multi-scale and multi-modal data coming from IoT infrastructures. The book is intended to cover how the fusion of IoT and AI allows the design of models, methodologies, algorithms, evaluation benchmarks, and tools can address challenging problems related to health informatics, healthcare, and wellbeing.

Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence

Автор: Pillai Anitha S., Menon Bindu
Название: Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence
ISBN: 0323900372 ISBN-13(EAN): 9780323900379
Издательство: Elsevier Science
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Цена: 154960.00 T
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Описание:

Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence focuses on how the neurosciences can benefit from advances in AI, especially in areas such as medical image analysis for the improved diagnosis of Alzheimer's disease, early detection of acute neurologic events, prediction of stroke, medical image segmentation for quantitative evaluation of neuroanatomy and vasculature, diagnosis of Alzheimer's Disease, autism spectrum disorder, and other key neurological disorders. Chapters also focus on how AI can help in predicting stroke recovery, and the use of Machine Learning and AI in personalizing stroke rehabilitation therapy.

Other sections delve into Epilepsy and the use of Machine Learning techniques to detect epileptogenic lesions on MRIs and how to understand neural networks.


Robots that Talk and Listen: Technology and Social Impact

Автор: Judith Markowitz
Название: Robots that Talk and Listen: Technology and Social Impact
ISBN: 1614516030 ISBN-13(EAN): 9781614516033
Издательство: Walter de Gruyter
Цена: 86720.00 T
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Описание: Robots That Talk and Listen provides a forward-looking examination of speech and language in robots from technical, functional, and social perspectives. Contributors address cultural foundations as well as the linguistic skills and technologies that robots need to function effectively in real-world settings. Among the most difficult and complex is the ability to understand and use language. Speech-enabled automata are already serving as interactive toys, teacher’s aides, and research assistants. These robots will soon be joined by personal companions, industrial co-workers, and military support automata. The social impact of these and other robots extends well beyond the specific tasks they perform. Contributors tackle the most knotty of those issues, notably acceptance of advanced, speech-enabled robots and developing ethical and moral controls for robots. Topics in this book include: •Language and Beyond: The True Meaning of “Speech Enabled” •Robots in Myth and Media •Enabling Robots to Converse •Language Learning by Automata •Handling Noisy Settings•Empirical Studies of Robots in Real-World Environments •Acceptance of Intelligent Robots•Managing Robots that Can Lie and Deceive•Envisioning a World Shared with Intelligent Robots

Cognitive Science and Artificial Intelligence

Автор: Gurumoorthy
Название: Cognitive Science and Artificial Intelligence
ISBN: 9811066973 ISBN-13(EAN): 9789811066979
Издательство: Springer
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Цена: 46570.00 T
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Описание: The book reflects the state-of-the-art in Artificial Intelligence and Cognitive Science, and covers theory, algorithms, numerical simulation, error and uncertainty analysis, as well novel applications of new processing techniques in Biomedical Informatics, Computer Science and its applied areas.

Artificial Intelligence in Label-free Microscopy

Автор: Ata Mahjoubfar; Claire Lifan Chen; Bahram Jalali
Название: Artificial Intelligence in Label-free Microscopy
ISBN: 3319514474 ISBN-13(EAN): 9783319514475
Издательство: Springer
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Цена: 111790.00 T
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Описание: This book introduces time-stretch quantitative phase imaging (TS-QPI), a high-throughput label-free imaging flow cytometer developed for big data acquisition and analysis in phenotypic screening.

Brain-computer interface research

Название: Brain-computer interface research
ISBN: 3319099787 ISBN-13(EAN): 9783319099781
Издательство: Springer
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Цена: 46570.00 T
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Описание:

Introduction (C. Guger, B. Allison).- Give me a sign: The possibilities of using hand gestures as a control signal for implanted brain computer interfaces (M.G. Bleichner, J.M. Jansma, Z.V. Freudenburg, E.J. Aarnoutse, M.J. Vansteensel, N.F. Ramsey).- An Ipsilateral, Contralesional BCI in Chronic Stroke Patients (D. T. Bundy, E. C. Leuthardt).- A learning-based approach to artificial sensory feedback (M. C. Dadarlat, J. E. O'Doherty, P. N. Sabes).- An Accurate, Versatile, and Robust Brain Switch for Neurorehabilitation (N. Jiang, N. Mrachacz-Kersting, R. Xu, K. Dremstrup and D. Farina).- Ear-EEG: Continuous Brain Monitoring (D. Looney, P. Kidmose, M. J. Morrell, D. P. Mandic).- Passive brain- computer interface for robot-assisted rehabilitation (D. Novak, B. Beyeler, X. Omlin, R. Riener).- A concurrent brain-machine interface for sequential motor function (M. Shanechi, R. Hu, M. Powers, G. Wornell, E. Brown, Z. Williams).- fMRI-guided subdural visual motion BCI with minimal invasiveness (D. Zhang, H. Song, R. Xu, B. Hong).- Multi-command Tactile and Bone-Conduction Auditory Brain Computer Interface (T. M. Rutkowski, H. Mori, and K. Mori).- Conclusion (C. Guger, B. Allison).


Brain-Computer Interface Research

Автор: Christoph Guger; Brendan Allison; E.C. Leuthardt
Название: Brain-Computer Interface Research
ISBN: 3662523914 ISBN-13(EAN): 9783662523919
Издательство: Springer
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Цена: 104480.00 T
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Описание: It introduces ten outstanding and innovative BCI projects, nominated as finalists for the BCI award 2012 by a jury of established researchers and discusses how each of the nominated projects reflects general worldwide trends in BCI development.

Brain-Computer Interfacing

Автор: Rao, Rajesh P. N.
Название: Brain-Computer Interfacing
ISBN: 0521769418 ISBN-13(EAN): 9780521769419
Издательство: Cambridge Academ
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Цена: 82370.00 T
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Описание: This introduction to the field of brain-computer interfacing is designed as a textbook for upper-level undergraduate and first-year graduate courses in neural engineering or brain-computer interfacing for students from a wide range of disciplines. It can also be used as a reference by neuroscientists, computer scientists, engineers, and medical practitioners.


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