Multidimensional approaches for noise cancellation of ECG signal

Bhoi, Akash Kumar; Sherpa, Karma Sonam; Phurailatpam, Devakishore; Tamang, Jitendra Singh; Giri, Pankaj K.

doi:10.1109/iccsp.2015.7322569

Cited by 5 publications

(6 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This format is a nonlinear digital filtering technique used to remove noise by replacing each digital datapoint of the ECG tracing with the median of neighboring datapoints. 12 This allowed precise measurements even with rapid HRs and baseline artifacts. PR interval measurements were recorded separately from outcomes data and laboratory values.…”

Section: Ecg Analysismentioning

confidence: 99%

Behavior of the PR interval with increasing heart rate in patients with COVID-19

et al. 2020

View full text Add to dashboard Cite

BACKGROUND Myriad manifestations of cardiovascular involvement have been described in patients with coronavirus disease 2019 (COVID-19), but there have been no reports of COVID-19 affecting the cardiac conduction system. The PR interval on the electrocardiogram (ECG) normally shortens with increasing heart rate (HR). The case of a patient with COVID-19 manifesting Mobitz type 1 atrioventricular (AV) block that normalized as the patient's condition improved prompted us to investigate PR interval behavior in patients with COVID-19.OBJECTIVE The purpose of this study was to characterize PR interval behavior in hospitalized patients with COVID-19 and to correlate that behavior with clinical outcomes.METHODS This study was a cross-sectional cohort analysis of confirmed COVID-19 cases (March 26, 2020, to April 25, 2020. We reviewed pre-COVID-19 and COVID-19 ECGs to characterize AV conduction by calculating the PR interval to HR (PR:HR) slope. Clinical endpoints were death or need for endotracheal intubation.RESULTS ECGs from 75 patients (246 pre-COVID-19 ECGs and 246 COVID-19 ECGs) were analyzed for PR:HR slope. Of these patients, 38 (50.7%) showed the expected PR interval shortening with increasing HR (negative PR:HR slope), whereas 37 (49.3%) showed either no change (8 with PR:HR slope 5 0) or paradoxical PR interval prolongation (29 with positive PR:HR slope) with increasing HR. Patients without PR interval shortening were more likely to die (11/37 [29.7%] vs 3/38 [7.9%]; P 5 .019) or require endotracheal intubation (16/37 [43.2%] vs 8/38 [21.1%]; P 5 .05) compared to patients with PR interval shortening.CONCLUSION Half of patients with COVID-19 showed abnormal PR interval behavior (paradoxical prolongation or lack of shortening) with increasing HR. This finding was associated with increased risk of death and need for endotracheal intubation.

show abstract

Section: Ecg Analysismentioning

confidence: 99%

Behavior of the PR interval with increasing heart rate in patients with COVID-19

et al. 2020

View full text Add to dashboard Cite

show abstract

“…The "median" format employs a nonlinear filter to replace each ECG data point on the waveform by the median of neighboring data points to remove noise and reduce artifacts. 23,24 On scanned paper ECGs, QT, QRSd, Tp, and Te measurements were made using onscreen digital calipers from an individual paced complex in the relevant precordial leads displayed at large magnification. Onscreen calipers, which provided a reading in pixels, were first used to measure a standard large box of 200 ms on the ECG, which was used to determine a conversion factor from pixels to milliseconds for each ECG; this was then used to make measurements.…”

Section: Measurement Methodologymentioning

confidence: 99%

Conduction system pacing versus biventricular pacing: Reduced repolarization heterogeneity in addition to improved depolarization

Gupta

Pavri

2021

Cardiovasc electrophysiol

View full text Add to dashboard Cite

Introduction: His-bundle pacing (HBP) and left-bundle-area pacing (LBAP) are conduction system pacing (CSP) modalities increasingly used as alternatives to conventional biventricular pacing (BiVP). While effects of CSP on ventricular depolarization have been reported, effects on ventricular repolarization have not. Methods: QRS duration (QRSd) and validated ECG parameters of ventricular repolarization associated with arrhythmic risk (T-peak-to-T-end Transmural , T-peak-to-Tend Total , T-peak dispersion, QTc, QTc dispersion) were analyzed post-implant in 107 patients: 60 with CSP (HBP: n = 35, LBAP: n = 25) and 47 with BiVP. T-wave memory resolution and QTc shortening were analyzed on ECGs obtained ≥25 days postimplant. Twenty blinded measurements were obtained by both authors to assess Interobserver variability.Results: Although QRSd was shorter with HBP versus LBAP (119 ± 7 ms vs. 132 ± 9 ms, p = .02), there were no significant differences in any repolarization parameters between these methods of CSP. However, when comparing CSP (HBP + LBAP) to BiVP, both QRSd (125 ± 5 ms vs. 147 ± 7 ms, p < .0001) and repolarization parameters (T-peak-to-T-end Transmural : 83 ± 5 ms vs. 107 ± 8 ms; T-peak-to-T-end Total : 110 ± 7 ms vs. 137 ± 10 ms; QTc: 470 ± 12 ms vs. 506 ± 12 ms; all p ≤ .0001) were significantly shorter with CSP. Improved T-peak-to-T-end values were unrelated to pre-implant QRSd or LV function. Interobserver variability was 4.6 ± 1.9 ms. Frontal QRS-T angle narrowing (132°to 104°, p = .001) and QTc shortening (483 ± 13 ms to 464 ± 12 ms, p = .008) were seen only with CSP. Conclusions: In addition to improved depolarization, CSP reduced repolarization heterogeneity and provided greater T-wave memory resolution as compared to BiVP. Both modalities of CSP (HBP + LBAP) resulted in comparably reduced repolarization heterogeneity regardless of baseline QRSd and LV function. These observations may confer lower arrhythmogenic risk and warrant further study.

show abstract

“…Median filter, Gaussian filter, and other filters were used by Subbiah et al [11] to denoise the signal and identify which filter gives the best result. Kumar et al [12] used multidimensional noise cancellation of ECG signal to extract pure ECG signal. Rajeshwari et al [13] used efficient preprocessing techniques on MRI images.…”

Section: Related Workmentioning

confidence: 99%

ECG Data Analysis with Denoising Approach and Customized CNNs

Mishra

Dharahas

Gite

et al. 2022

Sensors

View full text Add to dashboard Cite

In the last decade, the proactive diagnosis of diseases with artificial intelligence and its aligned technologies has been an exciting and fruitful area. One of the areas in medical care where constant monitoring is required is cardiovascular diseases. Arrhythmia, one of the cardiovascular diseases, is generally diagnosed by doctors using Electrocardiography (ECG), which records the heart’s rhythm and electrical activity. The use of neural networks has been extensively adopted to identify abnormalities in the last few years. It is found that the probability of detecting arrhythmia increases if the denoised signal is used rather than the raw input signal. This paper compares six filters implemented on ECG signals to improve classification accuracy. Custom convolutional neural networks (CCNNs) are designed to filter ECG data. Extensive experiments are drawn by considering the six ECG filters and the proposed custom CCNN models. Comparative analysis reveals that the proposed models outperform the competitive models in various performance metrics.

show abstract

Multidimensional approaches for noise cancellation of ECG signal

Cited by 5 publications

References 15 publications

Behavior of the PR interval with increasing heart rate in patients with COVID-19

Behavior of the PR interval with increasing heart rate in patients with COVID-19

Conduction system pacing versus biventricular pacing: Reduced repolarization heterogeneity in addition to improved depolarization

ECG Data Analysis with Denoising Approach and Customized CNNs

Contact Info

Product

Resources

About