A novel automated ECG noise detection framework can reduce false alarm rates and improve denoising in automated ECG analysis.
May reduce false alarms in ECG monitoring; leaves open prospective clinical validation.
Extensive studies on benchmark databases demonstrate that the proposed framework is more suitable for reducing false alarm rates and selecting appropriate noise-specific denoising techniques in automated ECG analysis applications.
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Satija et al. (2017) studied this question.
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