Using a highly readable, conversational writing style, Practical Approach to Electroencephalography, 2nd Edition, makes a complex and critically important subject easier to understand. It provides just the right amount of guidance you need, explaining EEG waveforms starting with the basics, then bringing you to a sophisticated level in interpreting EEG tracings—explaining what to do, what not to do, what to look for, and what the results mean. Emphasizing pattern recognition and also why the patterns look the way they do, Dr. Libenson's approachable text focuses on the types of EEG tracings you are likely to encounter in your EEG laboratory, both in the outpatient lab and in the ICU, concentrating at first on the questions and problems encountered by the beginner and non-expert, but bringing you up to the level of an expert. - Goes beyond the technical aspects of performing EEGs by discussing the link between the EEG findings and the neurologic disorders and conditions in which they occur. - Uses numerous EEG examples with abundant labels, arrows, and annotations to help you recognize normal and abnormal EEGs in all situations. Illustrations have been carefully reviewed for clarity and optimal usefulness. - Contains new self-assessment questions that allow you to check your understanding. - Provides expert pearls from Dr. Libenson that guide you in best practices in EEG testing. - Features a user-friendly writing style from a single author that makes learning easy. - Includes a new introduction to the interpretation of invasive EEG monitoring. - Equips you to handle a wide variety of EEG situations, including the strategies used to distinguish EEG artifacts from true brain waves. - Any additional digital ancillary content may publish up to 6 weeks following the publication date.

Psychology 2e is designed to meet scope and sequence requirements for the single-semester introduction to psychology course. The book offers a comprehensive treatment of core concepts, grounded in both classic studies and current and emerging research. Psychology incorporates discussions that reflect the diversity within the discipline, as well as the diversity of cultures and communities across the globe. The second edition contains detailed updates to address comments and suggestions from users. Significant improvements and additions were made in the areas of research currency, diversity and representation, and the relevance and recency of the examples. Many concepts were expanded or clarified, particularly through the judicious addition of detail and further explanation where necessary. Finally, the authors addressed the replication issues in the psychology discipline, both in the research chapter and where appropriate throughout the book. This is an adaptation of Psychology 2e by OpenStax. You can access the textbook for free at openstax.org. Minor editorial changes were made to ensure a better reading experience. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License.

The two-volume set LNAI 10191 and 10192 constitutes the refereed proceedings of the 9th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2017, held in Kanazawa, Japan, in April 2017. The total of 152 full papers accepted for publication in these proceedings was carefully reviewed and selected from 420 submissions. They were organized in topical sections named: Knowledge Engineering and Semantic Web; Social Networks and Recommender Systems; Text Processing and Information Retrieval; Intelligent Database Systems; Intelligent Information Systems; Decision Support and Control Systems; Machine Learning and Data Mining; Computer Vision Techniques; Advanced Data Mining Techniques and Applications; Intelligent and Context Systems; Multiple Model Approach to Machine Learning; Applications of Data Science; Artificial Intelligence Applications for E-services; Automated Reasoning and Proving Techniques with Applications in Intelligent Systems; Collective Intelligence for Service Innovation, Technology Opportunity, E-Learning and Fuzzy Intelligent Systems; Intelligent Computer Vision Systems and Applications; Intelligent Data Analysis, Applications and Technologies for Internet of Things; Intelligent Algorithms and Brain Functions; Intelligent Systems and Algorithms in Information Sciences; IT in Biomedicine; Intelligent Technologies in the Smart Cities in the 21st Century; Analysis of Image, Video and Motion Data in Life Sciences; Modern Applications of Machine Learning for Actionable Knowledge Extraction; Mathematics of Decision Sciences and Information Science; Scalable Data Analysis in Bioinformatics and Biomedical Informatics; and Technological Perspective of Agile Transformation in IT organizations.

Introduction to EEG- and Speech-Based Emotion Recognition Methods examines the background, methods, and utility of using electroencephalograms (EEGs) to detect and recognize different emotions. By incorporating these methods in brain-computer interface (BCI), we can achieve more natural, efficient communication between humans and computers. This book discusses how emotional states can be recognized in EEG images, and how this is useful for BCI applications. EEG and speech processing methods are explored, as are the technological basics of how to operate and record EEGs. Finally, the authors include information on EEG-based emotion recognition, classification, and a proposed EEG/speech fusion method for how to most accurately detect emotional states in EEG recordings. - Provides detailed insight on the science of emotion and the brain signals underlying this phenomenon - Examines emotions as a multimodal entity, utilizing a bimodal emotion recognition system of EEG and speech data - Details the implementation of techniques used for acquiring as well as analyzing EEG and speech signals for emotion recognition

This book features papers presented at IIH-MSP 2018, the 14th International Conference on Intelligent Information Hiding and Multimedia Signal Processing. The scope of IIH-MSP included information hiding and security, multimedia signal processing and networking, and bio-inspired multimedia technologies and systems. The book discusses subjects related to massive image/video compression and transmission for emerging networks, advances in speech and language processing, recent advances in information hiding and signal processing for audio and speech signals, intelligent distribution systems and applications, recent advances in security and privacy for multimodal network environments, multimedia signal processing, and machine learning. Presenting the latest research outcomes and findings, it is suitable for researchers and students who are interested in the corresponding fields. IIH-MSP 2018 was held in Sendai, Japan on 26–28 November 2018. It was hosted by Tohoku University and was co‐sponsored by the Fujian University of Technology in China, the Taiwan Association for Web Intelligence Consortium in Taiwan, and the Swinburne University of Technology in Australia, as well as the Fujian Provincial Key Laboratory of Big Data Mining and Applications (Fujian University of Technology) and the Harbin Institute of Technology Shenzhen Graduate School in China.