Why the study?
ECG signals contain sensitive health information, but existing works have not concentrated on securing ECG signal processing in VLSI design.
Population
ECG signals
Key result
The proposed AE-3S and DC2SNN model efficiently secured ECG signals and detected arrhythmias with a high accuracy of 99.15%.
Authors
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Requires prospective clinical validation before adoption; leaves open whether this model improves real-world arrhythmia detection or data security.
The proposed AE-3S and DC2SNN model provides a highly accurate (99.15%) method for arrhythmia detection while ensuring ECG data security.
Boyapati et al. (2026) studied Arrhythmia. AE-3S and DC2SNN was evaluated on Arrhythmia detection accuracy. The proposed AE-3S and DC2SNN model efficiently secured ECG signals and detected arrhythmias with a high accuracy of 99.15%.