Why the study?
Tools are needed that provide rapid diagnostic outcomes for cardiac disorders while maintaining accuracy.
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An IoT-based ECG classification system utilizing artificial neural networks and empirical mode decomposition demonstrated 100% accuracy in detecting arrhythmias.
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Preethi et al. (2022) studied Cardiac arrhythmia. Artificial neural networks (ANNs) and empirical mode decomposition (EMD) for ECG classification was evaluated on Classification accuracy of ECG signals into normal and pathological categories.
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