Key result
CCE outperforms ICCE in differentiating ST-segment morphology variability induced by heart rate versus ischemia.
Why the study?
Can Correlation Coefficient Entropy (CCE) and Inverse Correlation Coefficient Entropy (ICCE) differentiate ST-segment morphology variability induced by heart rate versus myocardial ischemia?
Can Correlation Coefficient Entropy (CCE) and Inverse Correlation Coefficient Entropy (ICCE) differentiate ST-segment morphology variability induced by heart rate versus myocardial ischemia?
Answers are grounded in this paper and cite their sources.
Correlation Coefficient Entropy (CCE) is a promising computational method for distinguishing ischemic from heart rate-induced ST-segment changes on ECG.
Electrocardiogram (ECG) is a convenient, economic, and non-invasive detecting tool in myocardial ischemia (MI). And its clinical appearance is mainly exhibited by ST-segment deviation. In the paper, the concepts of Correlation Coefficient Entropy (CCE) and Inverse Correlation Coefficient Entropy (ICCE) were proposed and used to compare the differences in morphology variability between ST segments induced by Heart Rate (HR) and by MI. After the Long-Term ST database (LTST) verification, the obvious results obtained with both methods. Whats more, It showed that CCE was better than ICCE comparatively.
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Wei et al. (2012) studied Myocardial ischemia. Correlation Coefficient Entropy (CCE) and Inverse Correlation Coefficient Entropy (ICCE) was evaluated on Differences in morphology variability between ST segments induced by Heart Rate and by Myocardial Ischemia. Correlation Coefficient Entropy (CCE) and Inverse Correlation Coefficient Entropy (ICCE) successfully differentiated ST-segment morphology variability, with CCE performing comparatively better.
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