Fundamentals Of Eeg Technology Clinical Correlates

(Symp. Seattle

Written by a noted leader in electroneurodiagnostic technology, this book will be a standard text and reference for technologists, neurology residents, and clinical neurophysiology fellows. It will be a valuable aid in preparing for the ABRET (American Board of Registration of Electroencephalographic and Evoked Potential Technologists) certification or the neurophysiology boards. The first part covers the technical aspects of electroneurodiagnosis; the second part covers clinical applications and diagnostic utilities. The text focuses on digital recording and includes analyses based on digital data. Emphasis is on pattern recognition, artifacts recognition, technical pitfalls, and the clinical correlates of electroencephalography. The book includes material to assist students in recognizing specific artifacts. Coverage includes principles of digital recording, electronics and electrical safety. A companion Website will include a question bank and a streaming video showing how to place electrodes.

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 field of strategic management has developed significantly since its birth from "business policy" and "business planning" in the 1960s. Pioneering studies were essentially normative, prescriptive, and often based on in-depth case studies. The evolution of strategic management into a respected field of academic study resulted from the adoption of research methods previously employed in economics. Today, research in strategic management is likely to employ a mixture of methods borrowed from related and unrelated disciplines, such as politcal sciences, psychology, neuroscience, and behavioral economics, which can be confusing to researchers new to the field. This book provides the reader with a broad introduction to the array of qualitative and quantitative research methods required to investigate strategic management. Throughout the book, strong emphasis is placed on practical applications that transcend the mere analysis of the theoretical roots of single research methods. The underlying result is a book that encourages and aids readers to "learn by doing" – in applying the implications of each chapter to their own research. This text is vital reading for postgraduate students and researchers focused on business strategy.

The three volume set LNCS 4232, LNCS 4233, and LNCS 4234 constitutes the refereed proceedings of the 13th International Conference on Neural Information Processing, ICONIP 2006, held in Hong Kong, China in October 2006. The 386 revised full papers presented were carefully reviewed and selected from 1175 submissions.