Key result
A proposed electrocardiogram signal preprocessing method accurately preserved QRS boundaries in the presence of strong power-line or electromyogram noise compared to observer markings.
A novel ECG signal preprocessing method improves the automatic detection of QRS boundaries in the presence of noise.
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May aid automated QRS detection in noisy ECGs; leaves open prospective clinical validation.
Automatic detection of QRS onset and offset points with reasonable accuracy has been a difficult task, approached since the first attempts at computerised electrocardiogram interpretation. The problem is additionally complicated by the usual presence of power-line interference, electromyogram artefacts and baseline fluctuation in the original signal, especially in multiphase complexes with small q, r, r', or s' waves. We propose a preprocessing method guaranteeing accurate preservation of the QRS boundaries, even in the existence of strong power-line or electromyogram noise. Examples of detection of QRS onset and offset points and a comparison with observer markings are presented for the assessment of preprocessing efficiency and detection consistency.
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Daskalov et al. (1999) studied Electrocardiogram interpretation. Electrocardiogram signal preprocessing method vs. Observer markings was evaluated on Detection of QRS onset and offset points. A proposed electrocardiogram signal preprocessing method accurately preserved QRS boundaries in the presence of strong power-line or electromyogram noise compared to observer markings.
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