Key result
ECG ST-segment multiscale entropy analysis shows high sensitivity for early heart disease detection.
Why the study?
Electrocardiogram complexity changing characteristics have important clinical significance for early diagnosis, but the multiscale entropy of the ST segment has not been compared to that of the entire electrocardiogram before.
Does multiscale entropy analysis of the ST segment improve early detection of heart disease compared to full electrocardiogram analysis?
Observational
Does multiscale entropy analysis of the ST segment improve early detection of heart disease compared to full electrocardiogram analysis?
Multiscale entropy analysis of the ST segment may provide a sensitive computational parameter for the early detection of heart disease.
This paper studies the multiscale entropy (MSE) of electrocardiogram's ST segment and compares the MSE results of ST segment with that of electrocardiogram in the first time. Electrocardiogram complexity changing characteristics has important clinical significance for early diagnosis. Study shows that the average MSE values and the varying scope fluctuation could be more effective to reveal the heart health status. Particularly the multiscale values varying scope fluctuation is a more sensitive parameter for early heart disease detection and has a clinical diagnostic significance.
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Qianli Ma (2008) conducted an observational in Heart disease. Multiscale entropy (MSE) of electrocardiogram's ST segment vs. MSE of full electrocardiogram was evaluated on Early heart disease detection. Multiscale entropy values and their varying scope fluctuation of the electrocardiogram's ST segment are sensitive parameters for early heart disease detection.
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