The principles of software QRS detection

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Design

Review

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Discussion

May inform ECG algorithm selection; leaves open standardized benchmarks for clinical validation.

Intervention

Software QRS detection algorithms (including artificial neural networks, genetic algorithms, wavelet transforms, filter banks, and heuristic methods)

This review summarizes over 30 years of advancements in software QRS detection algorithms, which form the foundation for automated ECG analysis.

Köhler et al. (2002) studied this question.

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