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Electrocardiogram signal-based analysis for diagnosis of coronary artery disease: multifunction cardiogram and signal-averaged electrocardiogram
. Lansdale: HAYES, Inc.. Directory Publication. 2011
Electrocardiogram (ECG) signal analysis technologies represent enhanced versions of the standard resting or exercise ECG. ECG signal analysis systems entail specialized software that conducts complex analyses of the biosignals recorded by an ECG. ECG signal analysis technologies are used in diagnosis of coronary artery disease (CAD), including acute coronary syndrome (ACS). These systems were developed to enable more efficient identification of patients who should undergo further, more invasive testing (coronary angiography), and earlier identification of patients who would benefit from early treatment with thrombolytic medications. The two forms of ECG signal analysis covered in this report produce automated diagnoses. The 3DMP™, mfEMT™ (sometimes referred to as mfEMT™), or Multifunction Cardiogram (MCG™) system (Premier Heart) relies on mathematical models derived from a very large clinical database; only data from two of the standard 12 ECG leads are used. The signal-averaged ECG (SAECG) averages signals from a standard 12- lead ECG across 200 to 1000 beats and automatically calculates three time-domain variables.
Subject indexing assigned by CRD
Coronary Diseases; Electrocardiography; Signal Processing, Computer-Assisted
Country of organisation
An English language summary is available.
Address for correspondence
HAYES, Inc., 157 S. Broad Street, Suite 200, Lansdale, PA 19446, USA. Tel: 215 855 0615; Fax: 215 855 5218 Email: email@example.com
Date abstract record published