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OverviewOrganised by waveform features rather than disease, this atlas helps to guide the reader to a diagnosis by essential features of a waveform. The first section takes the reader through the generation of a list of features on the EEG, which is then used to create a rubric for identifying possible diagnoses. The second section is organised alphabetically by general waveform title, referenced to in section one. This section also presents EEG tracings and discusses each waveform's distinguishing features and clinical significance. Features: Unique systematic approach to differential diagnosis based on EEG features Differential Diagnosis leads reader to the relevant EEG figure Designed for use in identifying difficult to read EEG patterns EEGs organised alphabeticall Full Product DetailsAuthor: John M. Stern , Jerome Engel, Jr.Publisher: Lippincott Williams and Wilkins Imprint: Lippincott Williams and Wilkins Dimensions: Width: 28.00cm , Height: 2.10cm , Length: 21.60cm Weight: 0.980kg ISBN: 9780781741248ISBN 10: 0781741246 Pages: 320 Publication Date: 20 September 2004 Audience: Professional and scholarly , Professional & Vocational Replaced By: 9781451109634 Format: Hardback Publisher's Status: Out of Print Availability: In Print ![]() Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock. Table of ContentsReviewsNeurology, Issue 65 -- Diagnoses in medicine are made in a number of ways, with pattern, recognition (Augenblick, literally, the blink of an eye ) serving as the strategy used by experts with extensive clinical experience. Novices must often develop exhaustive lists of differential diagnoses before arriving at a conclusion. Each approach has its advantages, and the Atlas of EEG Patterns draws on the strengths of both methods. This book teaches a useful and standardized approach to the identification of various waveforms. The authors rationally deconstruct features of various waveform patterns to help the reader navigate the rough seas of EEG waveforms while emphasizing common patterns, so that over time, patterns will be recognized more readily. I strongly recommend this atlas to EEG fellows and residents with an interest in epilepsy. The book is well-written and the examples are clear. The authors should be congratulated on filling an important niche in a field where pattern recognition is so important. Author InformationTab Content 6Author Website:Countries AvailableAll regions |