Fundamentals Of Eeg Technology Basic Concepts And Methods

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When his beloved donkey becomes ill, a young Italian boy is determined to take her to the crypt of St. Francis in Assisi in hopes of making her well.

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

Although the electroencephalogram - discovered more than a century ago - has been used for years as a non-invasive diagnostic tool, it is still poorly understood. In this book, John Barlow describes an ingenious new hypothesis for a comprehensive model of the EEG that is able to emulate a large variety of known EEG patterns with few variables.In contrast to previous hypotheses and models which have treated only selected EEG patterns (rhythmic activity such as alpha activity and sleep spindles seen largely as "filtered noise," or irregular activity, or certain types of epileptiform activity such as spikes) this approach, which is based on an oscillator with two separate input modulations of the extremes and the slopes of waves, covers all types of EEG patterns, and stems from specific features of the EEG itself rather than from arbitrary signals.Barlow describes the hypothesis in detail, then tests predictions for normal and abnormal EEGs with the aid of a hardware model and with specially developed methods of analysis. The hypothesis is further evaluated in the light of extensive reviews of other EEG models and methods of analysis and of the underlying anatomy, physiology, and pathophysiology of cerebral electrical activity. A technological section details the hardware model and the methodology for testing the hypothesis. Appendixes present some new approaches to traditional methods of EEG analysis and artifact minimization, areas in which Barlow has achieved international recognition.John S. Barlow, M.D., is a Neurophysiologist in the Neurology Service at Massachusetts General Hospital, Senior Research Associate in Neurology (Neurophysiology) at Harvard Medical School, and a Research Affiliate in the Research Laboratory of Electronics at the Massachusetts Institute of Technology.

The only sleep technology text written by experienced polysomnography educators, Polysomnography for the Sleep Technologist: Instrumentation, Monitoring, and Related Procedures covers the procedural knowledge you need to understand sleep studies. A sequential learning model systematically covers electronics, instrumentation, recording parameters, data acquisition, ancillary equipment, troubleshooting, recording quality, infection control, basic positive pressure therapy, and cardiopulmonary monitoring and intervention essential to polysomnography. In-depth discussions of polysomnographic technology in the clinical evaluation, physiological monitoring and testing, instrumentation, diagnosis, infection control, management and prevention of a wide spectrum of sleep-related disorders and daytime alertness offers comprehensive coverage of polysomnography technology. Expert content written by the same authors who were instrumental in producing a standardized model curriculum outline. Unique sequential approach builds concepts over time and simplifies the material’s complexity. Over 150 full-color graphs, charts, and illustrations supply visual guidance. End-of-chapter review questions help you assess your knowledge and prepare for certification as a sleep technologist. Chapter outlines, learning objectives, key terms and a bulleted chapter summary supplies a standard format to help you identify and focus on key content.

A comprehensive, accessible synthesis of current information on epilepsy for medical trainees and physicians preparing for board certification.