Key result
A bandpass filter with a center frequency of 17 Hz and a Q of 5 yielded the best signal-to-noise ratio for separating the QRS complex from interfering signals in ECG data.
Answers are grounded in this paper and cite their sources.
A bandpass filter centered at 17 Hz with a Q of 5 optimizes the signal-to-noise ratio for QRS complex detection in ECG monitoring instruments.
We present power spectral analysis of ECG waveforms as well as isolated QRS complexes and episodes of noise and artifact. The power spectral analysis shows that the QRS complex could be separated from other interfering signals. A bandpass filter that maximizes the signal (QRS complex)-to-noise (T-waves, 60 Hz, EMG, etc.) ratio would be of use in many ECG monitoring instruments. We calculate the coherence function and, from that, the signal-to-noise ratio. Upon carrying out this analysis on experimentaly obtained ECG data, we observe that a bandpass filter with a center frequency of 17 Hz and a Q of 5 yields the best signal-to-noise ratio.
No takes yet. Share an insight, caveat, or question.
Thakor et al. (1984) studied ECG monitoring. Bandpass filter with center frequency of 17 Hz and Q of 5 was evaluated on Signal-to-noise ratio. A bandpass filter with a center frequency of 17 Hz and a Q of 5 yielded the best signal-to-noise ratio for separating the QRS complex from interfering signals in ECG data.
Synapse has enriched 10 related papers. Consider them for comparative context: