(Symp. Seattle

Organized to serve as a resource for those just beginning to learn EEG as well as those who are already experienced, it contains concise presentations of the fundamentals of EEG technology and interpretation as well as an up-to-date review of the latest digital EEG technology and EEG clinical correlations. Unlike other EEG textbooks, the second half of this book is uniquely organized according to EEG findings rather than individual disorders. This is the best practical approach to learning interpretation because it mirrors the actual practice of EEG, the EEGer is confronted by EEG patterns, not diagnoses. Each chapter begins with a summary of major concepts. An overview of EEG can be quickly obtained by those beginning the study of EEG by simply reading the introductory summaries of all chapters before reading the

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.

Ideal for technologists, neurology residents, and clinical neurophysiology fellows, Practical Guide for Clinical Neurophysiologic Testing: EEG, 2nd Edition, provides comprehensive, up-to-date guidance on electroencephalography technology and interpretation. From key foundational knowledge such as basic electronics and recording techniques, to new videos and new ACNS guidelines, this reference is a highly regarded go-to guide for using this essential neurodiagnostic tool to its fullest potential.

EEG Technology provides information and advice related to electroencephalography (EEG). The objective and purpose of this book is to learn more about people given that a person's brain is the person, in sickness or in health. This book is organized into eight chapters. This second edition remains almost the same as the previous volume except for some additions in Chapter 1 and reorganization of some chapters. Chapter 4 was revised to reflect the changes in the design of EEG machines; Chapters 5 and 6 were expanded to include more factual description of EEG records; and Chapters 7 and 8 were expanded and extensively revised to reflect major advances in signal analysis procedures. This book will be of interest to people with studies on EEG and those in the medical profession.

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.