Key result
Wavelet time entropy differentiates myocardial ischemia from normal cardiac states independent of ST-segment changes.
Why the study?
An optimal measure independent from the ST segment was needed to differentiate normal from ischemic myocardial states.
Wavelet time entropy offers a novel method for detecting myocardial ischemia that is independent of traditional ST-segment analysis.
Wavelet entropy may detect ischemia independently of ST changes; leaves open clinical validation in prospective cohorts.
Using wavelets, we computed the entropy of the signal at various frequency levels (wavelet time entropy) and, thus, find an optimal measure to differentiate normal states from ischemic ones. This new indicator is independent from the ST segment and yet provide a conclusive detection of the ischemic states.
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Lemire et al. (2000) studied this question. Wavelet time entropy provides a conclusive, ST-segment-independent measure to differentiate normal cardiac states from myocardial ischemia.
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