An artificial neural network to safely reduce the number of ambulance ECGs transmitted for physician assessment in a system with prehospital detection of ST elevation myocardial infarction

An artificial neural network to safely reduce the number of ambulance ECGs transmitted for physician assessment in a system with prehospital detection of ST elevation myocardial infarction

<p>Abstract</p> <p>Background</p> <p>Pre-hospital electrocardiogram (ECG) transmission to an expert for interpretation and triage reduces time to acute percutaneous coronary intervention (PCI) in patients with ST elevation Myocardial Infarction (STEMI). In order to dete...

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Bibliographic Details
Main Authors: Forberg Jakob L, Khoshnood Ardavan, Green Michael, Ohlsson Mattias, Björk Jonas, Jovinge Stefan, Edenbrandt Lars, Ekelund Ulf
Format: Article
Language:English
Published: BMC 2012-02-01
Series:Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine
Online Access:http://www.sjtrem.com/content/20/1/8

Internet

http://www.sjtrem.com/content/20/1/8

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