Journal ArticleDOI
Estimation of QRS Complex Power Spectra for Design of a QRS Filter
TLDR
The power spectral analysis shows that the QRS complex could be separated from other interfering signals, and it is observed that a bandpass filter with a center frequency of 17 Hz and a Q of 5 yields the best signal-to-noise ratio.Abstract:
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.read more
Citations
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Journal ArticleDOI
Detection of ECG characteristic points using wavelet transforms
TL;DR: An algorithm based on wavelet transforms (WT's) has been developed for detecting ECG characteristic points and the relation between the characteristic points of ECG signal and those of modulus maximum pairs of its WT's is illustrated.
Journal ArticleDOI
A wavelet-based ECG delineator: evaluation on standard databases
TL;DR: A robust single-lead electrocardiogram (ECG) delineation system based on the wavelet transform (WT), outperforming the results of other well known algorithms, especially in determining the end of T wave.
Journal ArticleDOI
A comparison of the noise sensitivity of nine QRS detection algorithms
TL;DR: The noise sensitivities of nine different QRS detection algorithms were measured for a normal, single-channel, lead-II, synthesized ECG corrupted with five different types of synthesized noise: electromyographic interference, 60-Hz power line interference, baseline drift due to respiration, abrupt baseline shift, and a composite noise constructed from all of the other noise types.
Journal ArticleDOI
Applications of adaptive filtering to ECG analysis: noise cancellation and arrhythmia detection
Nitish V. Thakor,Y.-S. Zhu +1 more
TL;DR: Several adaptive filter structures are proposed for noise cancellation and arrhythmia detection and an adaptive recurrent filter structure is proposed for acquiring the impulse response of the normal QRS complex.
Journal ArticleDOI
The use of the Hilbert transform in ECG signal analysis
TL;DR: A new robust algorithm for QRS detection using the first differential of the ECG signal and its Hilbert transformed data to locate the R wave peaks in theECG waveform with a high degree of accuracy.
References
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Journal ArticleDOI
Optimal QRS detector.
TL;DR: The problem of detecting the QRS complex in the presence of noise was analysed and an optimised threshold criterion based on FP/FN was developed.
Journal ArticleDOI
A Spectral Analysis of the Normal Resting Electrocardiogram
TL;DR: To investigate the effects of band-limiting on the ECG, an ideal digital filter was implemented using the FFT and it was found that waveform notching is caused by frequencies over a wide passband, waveform amplitude information extends only to 200 Hz, and waveform duration information lies below 60 Hz.
Journal ArticleDOI
Design and evaluation of QRS and noise detectors for ambulatory e.c.g. monitors
Nitish V. Thakor,John G. Webster +1 more
TL;DR: A compact low-powered QRS detector design is presented and a noise detector circuit that identifies most false QRS detections so that it can disable alarms is presented, which should reduce false alarms in arrhythmia monitoring systems.