Why the study?
Because ECG is widely used to diagnose cardiovascular diseases, it is essential to study and analyse ECG data with classification techniques to bridge gaps toward future detection methods.
How do soft computing algorithms (machine learning and deep learning) perform in analyzing ECG data for the detection of cardiovascular diseases and arrhythmias?
How do soft computing algorithms (machine learning and deep learning) perform in analyzing ECG data for the detection of cardiovascular diseases and arrhythmias?
Machine learning and deep learning techniques provide promising tools for automated ECG analysis and arrhythmia detection, though further research is needed to address current limitations.
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May enhance automated ECG diagnosis; leaves open prospective validation before clinical adoption.
Veer et al. (2022) studied this question.
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