Key result
Nonlinear methods of ECG signal analysis are gaining popularity because of their robustness in feature extraction and classification.
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May enhance ECG classification in research settings; leaves open prospective clinical validation and standardization.
Nonlinear methods of ECG signal analysis are gaining popularity due to their robustness in feature extraction and classification.
Nayak et al. (2018) conducted a review in Electrocardiogram (ECG) signal analysis. Nonlinear signal analysis methods was evaluated. Nonlinear methods of ECG signal analysis are gaining popularity because of their robustness in feature extraction and classification.
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