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Studying electrocardiography is intellectually challenging since it involves a myriad of theories and complex associations. For example, the electrocardiogram (ECG) is a non-invasive recording of the electrical activity of the heart and its interpretation requires an intricate understanding of how these electrical signals relate to cardiac mechanics (referred to as the electromechanical link). Furthermore,...
Although the Body Surface Potential Map (BSPM) is considered to be an improved technique for the detection of cardiac pathologies when compared to the 12-lead electrocardiogram (ECG), it has not been adopted for routine clinical practice. This is partly due to a lack of clinician-friendly tools for visualizing the large amount of data a BSPM contains. This work presents the details of a usability...
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)...
Current ECG formats such as SCP-ECG and HL7/aECG mainly support popular acquisition methods such as the 12-lead ECG. These formats do not, however, provide support for less prominent methods such as the Body Surface Potential Map (BSPM). As an attempt to address this shortcoming, this study introduces an XML based format for storing all multi-electrode BSPMs. The proposed format has been successfully...
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