2018
DOI: 10.1155/2018/8360475
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An Efficient Teager Energy Operator-Based Automated QRS Complex Detection

Abstract: Database The efficiency and robustness of the proposed method has been tested on Fantasia Database (FTD), MIT-BIH Arrhythmia Database (MIT-AD), and MIT-BIH Normal Sinus Rhythm Database (MIT-NSD). Aim Because of the importance of QRS complex in the diagnosis of cardiovascular diseases, improvement in accuracy of its measurement has been set as a target. The present study provides an algorithm for automatic detection of QRS complex on the ECG signal, with the benefit of energy and reduced impact of noise on the … Show more

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Cited by 18 publications
(6 citation statements)
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“…The efficiency of the given R-peaks finding technique is compared with other exiting methodologies and summarized in Table 2. It shows the significant improvement compared with the techniques which use the non-linear filtering in their preprocessing stage [15][16][17][18]. and comparable results with the Fractional Fourier transform [14], S-transform [19], and wavelet transforms [20].…”
Section: Resultsmentioning
confidence: 71%
See 1 more Smart Citation
“…The efficiency of the given R-peaks finding technique is compared with other exiting methodologies and summarized in Table 2. It shows the significant improvement compared with the techniques which use the non-linear filtering in their preprocessing stage [15][16][17][18]. and comparable results with the Fractional Fourier transform [14], S-transform [19], and wavelet transforms [20].…”
Section: Resultsmentioning
confidence: 71%
“…These are optimum compared with standard FIR filters. Nonlinear energy operator and simple thresholding technique has also been used for efficient marking of R-Peaks [15][16][17]. Fractional Stock well transform is a combination of fractional fourier transform and Stockwell transform has been used by Bajaj and Kumar [18].…”
Section: Literature Reviewmentioning
confidence: 99%
“…The Teager operator is a nonlinear operator that mainly shows the frequency and instantaneous changes of the signal amplitude and is very sensitive to subtle changes. Although the Teager operator was first proposed for modeling nonlinear speech signals, it was later widely applied in ECG and EEG research [13]. Its expression is as follows:…”
Section: Proposal For Out-of-hospital Cardiac Monitoringmentioning
confidence: 99%
“…In recent years, many scholars have also conducted related experiments. Hamed B, Nasser L [2] et al proposed an automatic detection algorithm for the QRS complex of ECG signals. The algorithm is based on the Teager energy operator.…”
Section: Introductionmentioning
confidence: 99%