Literature DB >> 12675624

Beyond the 12 lead: review of the use of additional leads for the early electrocardiographic diagnosis of acute myocardial infarction.

Simon D Carley1.   

Abstract

Despite known limitations, the standard 12 lead ECG is the principal risk stratification device for patients presenting with chest pain to the ED. However, it has a sensitivity of less than 60% for MI. One reason for this is that the standard placement of chest leads fails to interrogate many areas of the myocardium. Various workers have addressed this problem through the use of additional leads or body surface mapping. Additional leads on the posterior and right thoracic surface have been shown to give additional information, which may be important to the emergency physician. This review demonstrates the need for additional leads in the acute setting and makes recommendations about the utility of using additional leads in the ED.

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Year:  2003        PMID: 12675624     DOI: 10.1046/j.1442-2026.2003.00431.x

Source DB:  PubMed          Journal:  Emerg Med (Fremantle)        ISSN: 1035-6851


  4 in total

Review 1.  Electrocardiographic body surface mapping: potential tool for the detection of transient myocardial ischemia in the 21st century?

Authors:  Monique R Robinson; Nicholas Curzen
Journal:  Ann Noninvasive Electrocardiol       Date:  2009-04       Impact factor: 1.468

2.  Mining for diagnostic information in body surface potential maps: a comparison of feature selection techniques.

Authors:  Dewar D Finlay; Chris D Nugent; Paul J McCullagh; Norman D Black
Journal:  Biomed Eng Online       Date:  2005-09-02       Impact factor: 2.819

3.  The Importance of the 15-lead Versus 12-lead ECG Recordings in the Diagnosis and Treatment of Right Ventricle and Left Ventricle Posterior and Lateral Wall Acute Myocardial Infarctions.

Authors:  Ioannis Vogiatzis; Efstathios Koulouris; Antonios Ioannidis; Evangelos Sdogkos; Maria Pliatsika; Pavlos Roditis; Markos Goumenakis
Journal:  Acta Inform Med       Date:  2019-03

4.  Evaluating Morphological Features of Electrocardiogram Signals for Diagnosing of Myocardial Infarction Using Classification-Based Feature Selection.

Authors:  Seyed Ataddin Mahmoudinejad; Naser Safdarian
Journal:  J Med Signals Sens       Date:  2021-05-24
  4 in total

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