A novel method for detecting R-peaks in electrocardiogram (ECG) signal

Manikandan, M. Sabarimalai; Soman, K P

doi:10.1016/j.bspc.2011.03.004

Cited by 341 publications

(178 citation statements)

References 12 publications

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“…However, with ECG monitoring. [10] and management of co-medications and serum electrolytes on routine basis, arsenic trioxide can be administered safely in APL patients.…”

Section: Resultsmentioning

confidence: 99%

Arsenic trioxide-induced QT interval prolongation: A case report

Mohan¹,

Prabhu²,

Reghu³

2017

Natl J Physiol Pharm Pharmacol

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QT prolongation refers to the prolonged QT interval in electrocardiography (ECG) which can even lead to life-threatening events such as ventricular arrhythmias, torsades de pointes, etc., several drugs can cause QT prolongation which includes sotalol, quinidine, arsenic, disopyramide, procainamide, amiodarone, haloperidol, etc., Arsenic trioxide (ATO) is used as an effective treatment option in promyelocytic leukemia (PML). Acute myeloid leukemia (AML) is a cancer that affects the blood and bone marrow. Acute promyelocytic leukemia (APL) is the M3 subtype of AML that affects mainly the white blood cells. In APL, immature granulocytes accumulate abnormally to form promyelocytes. ATO helps in the apoptosis of these cancerous promyelocytic cells. In patients on arsenic therapy, ECGs must be monitored to ensure QT prolongation as it a major side effect of the drug. Here is the case of a 58-year-old female patient and was newly diagnosed with APL. She developed QT prolongation with arsenic therapy. Other confounding factors such as electrolytes and presence of other QT-prolonging drugs were also corrected.

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“…However, with ECG monitoring. [10] and management of co-medications and serum electrolytes on routine basis, arsenic trioxide can be administered safely in APL patients.…”

Section: Resultsmentioning

confidence: 99%

Arsenic trioxide-induced QT interval prolongation: A case report

Mohan¹,

Prabhu²,

Reghu³

2017

Natl J Physiol Pharm Pharmacol

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“…The signal's Approximation coefficient at the m scale and n location can be represented as φ (2) In practice the discrete input signal having N finite length. Hence the range of scales which can be tested is 0 <m. A discrete signal approximation can be represented as The Signal approximation at a particular scale is the mixture of the detail and approximation at the next lower scale.…”

Section: Waveletmentioning

confidence: 99%

“…The ECG has the frequency from (0.1-150) Hz. It is very useful to detect cardiac disorders [2]. For that ECG feature extraction is important step.…”

Section: Introductionmentioning

confidence: 99%

R Peak Detection using Wavelet

Yadav¹,

Grover²

2017

IJCA

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ECG is very crucial and important tool to detect the cardiac problems. It has all the information related to the electrical activities of heart. This also has the information of normal and abnormal activities for the detection of the diseases. So it is essential and important to detect the accurate R-peaks in QRS complex, especially when the results are to be used for clinical applications. Hence in a long-term ECG signal, automatic R-peaks detection is very essential to diagnose cardiac disorders. In this paper we proposed a robust technique to detect R-peak which uses Wavelet Transform. The proposed R Peak detector is consists of a wavelet filter banks, a noise detector with zero-crossing points, multi-scaled product algorithm and soft-threshold algorithm.

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“…Therefore it is very essential to identify the R-peaks in QRS complex accurately and efficiently. Automatic R-peaks detection in a large duration ECG signal is very meaningful to diagnose the cardiac disorders [3]. R Peaks are pointed towards the positive side ever and hence can't have negative values [4].…”

Section: Introductionmentioning

confidence: 99%

A Robust Approach for R-Peak Detection

Yadav¹,

Grover²

2017

IJIEEB

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Abstract-Electrocardiogram (ECG) is very crucial and important tool to detect the cardiac problems. For ECG analysis, it is essential to measure ECG parameter accurately. It is very critical in all types of ECG application. The accurate R Peaks detection is starting step in extracting ECG features which is necessary for the other ECG performance stages. It is very essential to detect these R-peaks accurately and efficiently to detect heart diseases or anomalies which create primary source of death in the universe. Hence automatic R-peaks detection in a lengthy duration ECG signal is very meaningful to diagnose the cardiac disorders. Here a latest R-peak exposure algorithm depended on Shannon energy envelope estimator and logic to find peaks has been proposed which uses the simple threshold of Shannon energy.

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A novel method for detecting R-peaks in electrocardiogram (ECG) signal

Cited by 341 publications

References 12 publications

Arsenic trioxide-induced QT interval prolongation: A case report

Arsenic trioxide-induced QT interval prolongation: A case report

R Peak Detection using Wavelet

A Robust Approach for R-Peak Detection

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