Why the study?
Diagnosing cardiovascular disorders through intuitive analysis of ECG signals could be made fast, accurate, and simple by applying advanced nonlinear tools to recorded signals.
An EMD-based nonlinear analysis of ECG signals can identify arrhythmias with 94.92% certainty, potentially offering a fast and simple diagnostic alternative.
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May support automated ECG analysis for CV disorders; leaves open need for validation before clinical adoption.
Maji et al. (2020) studied this question.
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