Key result
An arrhythmia detection algorithm based on Empirical Mode Decomposition and linear discriminant analysis achieved an accuracy of 87% for detecting normal and arrhythmic ECG signals.
Why the study?
Does an algorithm based on Empirical Mode Decomposition accurately detect arrhythmias in ECG signals?
Population
ECG signals obtained from the MIT-BIH Arrhythmia database containing six types: normal, left bundle branch…
Comparison
Arrhythmia detection algorithm based on… vs Other classifiers
Design
Other
Authors
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Should not change clinical arrhythmia detection; leaves open prospective validation of EMD-based classifiers.
Does an algorithm based on Empirical Mode Decomposition accurately detect arrhythmias in ECG signals?
An algorithm based on Empirical Mode Decomposition and linear discriminant analysis can detect various arrhythmias from ECG signals with 87% accuracy.
İzci et al. (2018) studied Cardiac arrhythmias. Arrhythmia detection algorithm based on Empirical Mode Decomposition (EMD) was evaluated on Accuracy of detecting normal and arrhythmic signals. An arrhythmia detection algorithm based on Empirical Mode Decomposition and linear discriminant analysis achieved an accuracy of 87% for detecting normal and arrhythmic ECG signals.
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