EEG Based Experiment Design for Major Depressive Disorder Book

EEG Based Experiment Design for Major Depressive Disorder


  • Author : Aamir Saeed Malik
  • Publisher : Academic Press
  • Release Date : 2019-05-16
  • Genre: Medical
  • Pages : 254
  • ISBN 10 : 9780128174210

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EEG Based Experiment Design for Major Depressive Disorder Excerpt :

EEG-Based Experiment Design for Major Depressive Disorder: Machine Learning and Psychiatric Diagnosis introduces EEG-based machine learning solutions for diagnosis and assessment of treatment efficacy for a variety of conditions. With a unique combination of background and practical perspectives for the use of automated EEG methods for mental illness, it details for readers how to design a successful experiment, providing experiment designs for both clinical and behavioral applications. This book details the EEG-based functional connectivity correlates for several conditions, including depression, anxiety, and epilepsy, along with pathophysiology of depression, underlying neural circuits and detailed options for diagnosis. It is a necessary read for those interested in developing EEG methods for addressing challenges for mental illness and researchers exploring automated methods for diagnosis and objective treatment assessment. Written to assist in neuroscience experiment design using EEG Provides a step-by-step approach for designing clinical experiments using EEG Includes example datasets for affected individuals and healthy controls Lists inclusion and exclusion criteria to help identify experiment subjects Features appendices detailing subjective tests for screening patients Examines applications for personalized treatment decisions

Designing EEG Experiments for Studying the Brain Book

Designing EEG Experiments for Studying the Brain


  • Author : Aamir Saeed Malik
  • Publisher : Academic Press
  • Release Date : 2017-05-25
  • Genre: Medical
  • Pages : 294
  • ISBN 10 : 9780128111413

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Designing EEG Experiments for Studying the Brain Excerpt :

Designing EEG Experiments for Studying the Brain: Design Code and Example Datasets details the design of various brain experiments using electroencephalogram (EEG). Providing guidelines for designing an EEG experiment, it is primarily for researchers who want to venture into this field by designing their own experiments as well as those who are excited about neuroscience and want to explore various applications related to the brain. The first chapter describes how to design an EEG experiment and details the various parameters that should be considered for success, while remaining chapters provide experiment design for a number of neurological applications, both clinical and behavioral. As each chapter is accompanied with experiment design codes and example datasets, those interested can quickly design their own experiments or use the current design for their own purposes. Helpful appendices provide various forms for one’s experiment including recruitment forms, feedback forms, ethics forms, and recommendations for related hardware equipment and software for data acquisition, processing, and analysis. Written to assist neuroscientists in experiment designs using EEG Presents a step-by-step approach to designing both clinical and behavioral EEG experiments Includes experiment design codes and example datasets Provides inclusion and exclusion criteria to help correctly identify experiment subjects and the minimum number of samples Includes appendices that provide recruitment forms, ethics forms, and various subjective tests associated with each of the chapters

Neural Information Processing Book

Neural Information Processing


  • Author : Sabri Arik
  • Publisher : Springer
  • Release Date : 2015-11-17
  • Genre: Computers
  • Pages : 702
  • ISBN 10 : 9783319265612

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Neural Information Processing Excerpt :

The four volume set LNCS 9489, LNCS 9490, LNCS 9491, and LNCS 9492 constitutes the proceedings of the 22nd International Conference on Neural Information Processing, ICONIP 2015, held in Istanbul, Turkey, in November 2015. The 231 full papers presented were carefully reviewed and selected from 375 submissions. The 4 volumes represent topical sections containing articles on Learning Algorithms and Classification Systems; Artificial Intelligence and Neural Networks: Theory, Design, and Applications; Image and Signal Processing; and Intelligent Social Networks.

Brain Informatics and Health Book

Brain Informatics and Health


  • Author : Giorgio A. Ascoli
  • Publisher : Springer
  • Release Date : 2016-09-22
  • Genre: Computers
  • Pages : 388
  • ISBN 10 : 9783319471037

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Brain Informatics and Health Excerpt :

This book constitutes the refereed proceedings of the International Conference on Brain and Health Informatics, BHI 2016, held in Omaha, USA, in October 2016. The 37 revised full papers, including two workshop papers from BAI 2016, presented were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on cognitive and computational foundations of brain science; investigations of human information processing systems; brain big data analytics, curation and management; new methodologies for brain and mental health; brain-inspired intelligence and computing; brain and artificial intelligence.

Brain and Health Informatics Book

Brain and Health Informatics


  • Author : Kazayuki Imamura
  • Publisher : Springer
  • Release Date : 2013-10-24
  • Genre: Computers
  • Pages : 539
  • ISBN 10 : 9783319027531

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Brain and Health Informatics Excerpt :

This book constitutes the refereed proceedings of the International Conference on Brain and Health Informatics, BHI 2013, held in Maebashi, Japan, in October 2013. The 33 revised full papers presented together with 8 workshop papers and 12 special session papers were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on thinking and perception-centric Investigations of human Information processing system; information technologies for curating, mining, managing and using big brain/health data; information technologies for healthcare; data analytics, data mining, and machine learning; and applications. The topics of the workshop papers are: mental health with ICT; and granular knowledge discovery in biomedical and active-media environments; and the topics of the special sessions are: human centered computing; neuro-robotics; and intelligent healthcare data analytics.

Early Detection of Neurological Disorders Using Machine Learning Systems Book

Early Detection of Neurological Disorders Using Machine Learning Systems


  • Author : Paul, Sudip
  • Publisher : IGI Global
  • Release Date : 2019-06-28
  • Genre: Medical
  • Pages : 376
  • ISBN 10 : 9781522585688

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Early Detection of Neurological Disorders Using Machine Learning Systems Excerpt :

While doctors and physicians are more than capable of detecting diseases of the brain, the most agile human mind cannot compete with the processing power of modern technology. Utilizing algorithmic systems in healthcare in this way may provide a way to treat neurological diseases before they happen. Early Detection of Neurological Disorders Using Machine Learning Systems provides innovative insights into implementing smart systems to detect neurological diseases at a faster rate than by normal means. The topics included in this book are artificial intelligence, data analysis, and biomedical informatics. It is designed for clinicians, doctors, neurologists, physiotherapists, neurorehabilitation specialists, scholars, academics, and students interested in topics centered on biomedical engineering, bio-electronics, medical electronics, physiology, neurosciences, life sciences, and physics.

Artificial Neural Networks and Machine Learning     ICANN 2019  Workshop and Special Sessions Book

Artificial Neural Networks and Machine Learning ICANN 2019 Workshop and Special Sessions


  • Author : Igor V. Tetko
  • Publisher : Springer Nature
  • Release Date : 2019-09-10
  • Genre: Computers
  • Pages : 852
  • ISBN 10 : 9783030304935

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Artificial Neural Networks and Machine Learning ICANN 2019 Workshop and Special Sessions Excerpt :

The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions.

Data Analytics in Medicine  Concepts  Methodologies  Tools  and Applications Book

Data Analytics in Medicine Concepts Methodologies Tools and Applications


  • Author : Management Association, Information Resources
  • Publisher : IGI Global
  • Release Date : 2019-12-06
  • Genre: Medical
  • Pages : 2071
  • ISBN 10 : 9781799812050

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Data Analytics in Medicine Concepts Methodologies Tools and Applications Excerpt :

Advancements in data science have created opportunities to sort, manage, and analyze large amounts of data more effectively and efficiently. Applying these new technologies to the healthcare industry, which has vast quantities of patient and medical data and is increasingly becoming more data-reliant, is crucial for refining medical practices and patient care. Data Analytics in Medicine: Concepts, Methodologies, Tools, and Applications is a vital reference source that examines practical applications of healthcare analytics for improved patient care, resource allocation, and medical performance, as well as for diagnosing, predicting, and identifying at-risk populations. Highlighting a range of topics such as data security and privacy, health informatics, and predictive analytics, this multi-volume book is ideally designed for doctors, hospital administrators, nurses, medical professionals, IT specialists, computer engineers, information technologists, biomedical engineers, data-processing specialists, healthcare practitioners, academicians, and researchers interested in current research on the connections between data analytics in the field of medicine.

Robotic Systems  Concepts  Methodologies  Tools  and Applications Book

Robotic Systems Concepts Methodologies Tools and Applications


  • Author : Management Association, Information Resources
  • Publisher : IGI Global
  • Release Date : 2020-01-03
  • Genre: Technology & Engineering
  • Pages : 2075
  • ISBN 10 : 9781799817550

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Robotic Systems Concepts Methodologies Tools and Applications Excerpt :

Through expanded intelligence, the use of robotics has fundamentally transformed a variety of fields, including manufacturing, aerospace, medicine, social services, and agriculture. Continued research on robotic design is critical to solving various dynamic obstacles individuals, enterprises, and humanity at large face on a daily basis. Robotic Systems: Concepts, Methodologies, Tools, and Applications is a vital reference source that delves into the current issues, methodologies, and trends relating to advanced robotic technology in the modern world. Highlighting a range of topics such as mechatronics, cybernetics, and human-computer interaction, this multi-volume book is ideally designed for robotics engineers, mechanical engineers, robotics technicians, operators, software engineers, designers, programmers, industry professionals, researchers, students, academicians, and computer practitioners seeking current research on developing innovative ideas for intelligent and autonomous robotics systems.

Human Centered Computing Book

Human Centered Computing


  • Author : Yong Tang
  • Publisher : Springer
  • Release Date : 2019-03-21
  • Genre: Computers
  • Pages : 689
  • ISBN 10 : 9783030151270

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Human Centered Computing Excerpt :

This book constitutes thoroughly reviewed, revised and selected papers from the 4th International Conference on Human Centered Computing, HCC 2018, held in Merida, Mexico, in December 2018. The 50 full and 18 short papers presented in this volume were carefully reviewed and selected from a total of 146 submissions. They focus on a "hyper-connected world", dealing with new developments in artificial intelligence, deep learning, brain-computing, etc.

Bergin and Garfield s Handbook of Psychotherapy and Behavior Change Book

Bergin and Garfield s Handbook of Psychotherapy and Behavior Change


  • Author : Michael Barkham
  • Publisher : John Wiley & Sons
  • Release Date : 2021-09-28
  • Genre: Psychology
  • Pages : 848
  • ISBN 10 : 9781119536581

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Bergin and Garfield s Handbook of Psychotherapy and Behavior Change Excerpt :

Celebrating the 50th anniversary of a best-selling and renowned reference in psychotherapy research and practice. Now celebrating its 50th anniversary and in its seventh edition, Bergin and Garfield's Handbook of Psychotherapy and Behavior Change, maintains its position as the essential reference volume for psychotherapy research. This bestselling reference remains the most important overview of research findings in psychotherapy. It is a rigorous and evidence-based text for academics, researchers, practitioners, and students. In recognition of the 50th anniversary, this edition contains a Foreword by Allen Bergin while the Handbook covers the following main themes: historical and methodological issues, measuring and evidencing change in efficacy and practice-based research, therapeutic ingredients, therapeutic approaches and formats, increasing precision and scale of delivery, and future directions in the field of psychotherapy research. Chapters have either been completely rewritten and updated or comprise new topics by contributors including: Characteristics of effective therapists Mindfulness and acceptance-based therapies Personalized treatment approaches The internet as a medium for treatment delivery Models of therapy and how to scale up treatment delivery to address unmet needs The newest edition of this renowned Handbook offers state-of-the-art updates to the key areas in psychotherapy research and practice today. Over 60 authors, experts in their fields, from over 10 countries have contributed to this anniversary edition, providing in-depth, measured and insightful summaries of the current field.

Biomedical Signal Processing Book

Biomedical Signal Processing


  • Author : Ganesh Naik
  • Publisher : Springer Nature
  • Release Date : 2019-11-12
  • Genre: Technology & Engineering
  • Pages : 432
  • ISBN 10 : 9789811390975

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Biomedical Signal Processing Excerpt :

This book reports on the latest advances in the study of biomedical signal processing, and discusses in detail a number of open problems concerning clinical, biomedical and neural signals. It methodically collects and presents in a unified form the research findings previously scattered throughout various scientific journals and conference proceedings. In addition, the chapters are self-contained and can be read independently. Accordingly, the book will be of interest to university researchers, R&D engineers and graduate students who wish to learn the core principles of biomedical signal analysis, algorithms, and applications, while also offering a valuable reference work for biomedical engineers and clinicians who wish to learn more about the theory and recent applications of neural engineering and biomedical signal processing.

Behavioral and Physiological Bases of Attentional Biases  Paradigms  Participants  and Stimuli Book

Behavioral and Physiological Bases of Attentional Biases Paradigms Participants and Stimuli


  • Author : Daniela M. Pfabigan
  • Publisher : Unknown
  • Release Date : 2015-08-21
  • Genre: Uncategoriezed
  • Pages : null
  • ISBN 10 : 9782889196401

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Behavioral and Physiological Bases of Attentional Biases Paradigms Participants and Stimuli Excerpt :

Attentional biases (ABs) play a prominent role in the development and maintenance of clinically relevant symptoms of, for example, anxiety and depression. In particular, increased attentional orienting and preoccupation with biologically relevant and mood-congruent stimuli has been observed, suggesting that the visual-attentional system is overly sensitive towards threat cues and avoidant of cues of reward in these disorders. First, several experimental paradigms have been used to assess ABs, e.g., the dot probe task, the emotional stroop task, and the spatial cueing task amongst others. Yet, these paradigms are based on different theoretical backgrounds and target different stages of the attentional process. Thus, different paradigms provided converging as well as diverging evidence with regard to ABs. However, it is often not entirely clear to what extent this reflects real differences and commonalities, or is caused by differences in methodology. For example, behavioral reaction time data can only provide a snapshot of selective attention. Measuring event-related potentials, eye movements, or functional brain imaging data enables exploring the exact temporal and spatial dynamics of attentional processes. Moreover, neuroimaging data reveal specific cortical networks involved in directing attention toward a stimulus or disengaging from it. Second, ABs have been mainly discussed as symptoms of psychopathology, while results in healthy participants are still scarce; previous studies mostly compared extreme groups. However, a comprehensive theoretical and empirical account of ABs in psychopathology also requires a thorough account of ABs in the general healthy population. Moreover, the effect of gender, as an important contributing factor in processing of emotional stimuli, has also not been considered systematically in previous research. Third, a variety of stimuli has been used in the assessment of ABs. So far, mostly facial or word stimuli have been applied. Howeve