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Critical Cases in Electrocardiography: An Annotated Atlas of Don't-Miss ECGs for Emergency Medicine and Critical Care

Autor Steven R. Lowenstein
en Limba Engleză Paperback – 6 iun 2018
Emergency and critical care providers are often challenged by patients with acute cardiorespiratory symptoms and abnormal electrocardiograms. Critical Cases in Electrocardiography emphasizes clinically-relevant topics, focusing squarely on situations where interpretation of the ECG contributes to clinical decision-making. This atlas is unique, in that it includes numerous examples of ECG 'misses' - cases where the computer algorithm or the clinicians (or both) got the diagnosis wrong. While many textbooks include only smaller, black and white ECG tracings, which do not resemble actual clinical practice, this volume is designed to encourage self-study of the ECG by including full-page tracings in their natural color. The book focuses on 'don't miss' ECG tracings in order to help readers advance beyond the stage of 'competent' electrocardiographer. Anatomic and electrophysiologic correlations are emphasized throughout the work, helping readers appreciate the anatomic and electrical origins of the ECG abnormalities, rather than relying solely on pattern memorization.
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Specificații

ISBN-13: 9781107535916
ISBN-10: 1107535913
Pagini: 340
Ilustrații: 13 b/w illus. 227 colour illus. 1 table
Dimensiuni: 219 x 276 x 17 mm
Greutate: 0.94 kg
Editura: Cambridge University Press
Colecția Cambridge University Press
Locul publicării:New York, United States

Cuprins

1. The normal electrocardiogram: a brief review; 2. Inferior wall myocardial infarction; 3. Anterior wall myocardial infarction; 4. Posterior wall myocardial infarction; 5. The electrocardiography of shortness of breath; 6. Confusing conditions: ST-segment depressions and T-wave inversions; 7. Confusing conditions: ST-segment elevations and tall T-waves (coronary mimics); 8. Critical cases at 3:00 A.M.

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Descriere

Focuses on advanced ECG tracings, including abnormalities frequently missed by experienced clinicians and computer algorithms.