Estimation of QRS Complex Power Spectra for Design of a QRS Filter

Nitish V. Thakor, John G. Webster, Willis J. Tompkins

Research output: Contribution to journalArticlepeer-review

319 Scopus citations


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 experimentally 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.

Original languageEnglish (US)
Pages (from-to)702-706
Number of pages5
JournalIEEE Transactions on Biomedical Engineering
Issue number11
StatePublished - Nov 1984

ASJC Scopus subject areas

  • Biomedical Engineering


Dive into the research topics of 'Estimation of QRS Complex Power Spectra for Design of a QRS Filter'. Together they form a unique fingerprint.

Cite this