Conference Paper

The university of glasgow (Uni-G) ECG analysis program

Sect. of Cardiology & Exercise Medicine, Glasgow Univ.
DOI: 10.1109/CIC.2005.1588134 Conference: Computers in Cardiology, 2005
Source: IEEE Xplore

ABSTRACT The University of Glasgow 12/15 lead ECG analysis program has been in continuous development for over 20 years. It has been adapted to meet the needs of different users and keep abreast of changes in terminology as well as new morphological features described in the literature. It is applicable to neonates as well as adults and takes account of racial variation in wave amplitudes. It has a capability for comparing serially recorded ECGs using one of two different approaches. The many varying features of the software have led to the introduction of the descriptor Uni-G (unique) ECG analysis program

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    • "A prerequisite for invoking the use of the criteria was set as the presence of a STEMI and identification of the site of the STEMI e.g. inferior, anteroseptal etc., as determined by the current version of the Glasgow 12-lead resting ECG analysis program [7]. The STEMI criteria were based on the definitions by the American College of Cardiology and the European Society of Cardiology [8] with enhancements to use age and gender dependent criteria. "
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    ABSTRACT: The aim of this study was to develop, implement and evaluate criteria for automated detection of the culprit artery in patients with an acute myocardial infarction. ECG and PCI data was retrospectively gathered in Zealand, Denmark, from patients who had presented with symptoms suggesting an acute coronary syndrome, had a prehospital ECG recorded, had PCI on the same day as the ECG recording, and were subsequently identified as having single vessel disease. 307 patients were selected (218 male, 89 female, mean age 61.8 ± 12.3 years) as a training set. ECG criteria were designed to locate the culprit artery based on the location of ST deviation. The training set was used to optimise the criteria which were then incorporated into the Glasgow ECG analysis program. The ECGs were analysed using the enhanced software and the suspected culprit artery for each ECG was identified. The sensitivity and specificity of identifying each type of occlusion was calculated, using the location determined from the coronary angiogram as the gold standard. The SE and SP for a report of LAD was 69% and 94%, for RCA was 64% and 94% and for LCX was 57% and 96%. In conclusion the detection of the culprit artery from an ECG can be automated with an acceptable degree of accuracy.
    12/2013; 40:587-590.
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    • "The population characteristics have been discussed in more detail elsewhere [7]. Resting 12 lead ECGs recorded in digital form at 500 samples/second were recently analysed by the latest version of the University of Glasgow ECG Analysis Program [8]. From this, average beats for each of the 12 leads were printed as were the measurements of the ST amplitude, i.e. "
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    ABSTRACT: “Early repolarisation” has generally been considered benign until recently when it has been associated with life threatening arrhythmias. Because there has been confusion around defining J point elevation in relation to early repolarisation, this study examined ECGs recorded from an apparently healthy adult Caucasian cohort of males and females. As first step, the prevalence of end QRS notching, end QRS slurring and a mixture of both was determined essentially using visual techniques. It was found that almost 29%. of the cohort fell into one or other of these three categories. It is suggested that an internationally agreed definition of what is currently termed “early repolarisation” is required in order to facilitate further studies in this area.
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    • "This attribute allows for the articulation of different rules for different ECG acquisition methods. This is novel as ECG interpretation systems normally cater for standard acquisition methods [14]. The ruleSet element has one sub element called group which can also exist multiple times. "
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    ABSTRACT: From the clinician's perspective, computerized interpretation of the electrocardiogram (ECG) is carried out in a `black box'. That is, the rules used for interpretation are not easily accessible to the clinician. In this study we propose the ECG Rule Markup Language (ecgRuleML) as a way to externalize decision rules used to interpret the ECG. EcgRuleML utilizes the eXtensible Markup Language (XML) to provide a framework for articulating quantitative rules for measuring intervals, segments, widths, peaks, heart rate and the cardiac axis. Abstract features of the ECG such as slurred S waves cannot be easily represented numerically and are therefore articulated using codes. To test the ecgRuleML framework, rules have been defined to assess ST Elevation Myocardial Infarction (STEMI) in a Lux-192 Body Surface Potential Map (BSPM). An algorithm has been integrated into a BSPM viewer where the rules have been parsed from an ecgRuleML document and executed in 63ms (mean from 10 trials) on a PC (3GHz CPU, 3GB RAM).
    Computing in Cardiology, 2010; 10/2010
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