Noninvasive prediction of late potentials in the signal-averaged ECG in patients with chronic Chagas disease

Silva, Elissandro de Freitas; Cardinalli-Neto, Augusto; Grassi, L; Nogueira, Paulo Roberto; Bestetti, Reinaldo B.

doi:10.1016/j.jelectrocard.2021.09.011

Cited by 1 publication

(1 citation statement)

References 24 publications

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“…Percutaneous coronary intervention remains an important treatment when the patient has coronary artery symptoms, especially acute myocardial infarction. It has received widespread attention over the past decade due to concerns such as the benefits and risk of combination therapy with antithrombotic therapy and drug-eluting stents received [ 15 , 16 ]. This is especially important as the process of updating clinical guidelines and quality scores for acute myocardial infarction and percutaneous coronary intervention are accelerating However, few representative data are describing current treatment regimens and outcome trends in patients with acute myocardial infarction undergoing percutaneous coronary intervention [ 16 , 17 ].…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Application Value of Remote ECG Monitoring in Early Diagnosis of PCI for Acute Myocardial Infarction

Zhou

2022

BioMed Research International

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The blockage of blood in the vessels results in heart attacks and cardiac arrests which are referred to as myocardial infarction. Early detection of such infarction is feasible through percutaneous coronary intervention (PCI) based on electrocardiogram (ECG) monitoring. The variations in blood flow and clot are precisely observed through periodic ECG monitoring and previous correlations. This article introduces a concentrated value assessment model (CVAM) for determining PCI levels in treating myocardial infarction. The ECG observations from the previous observation sessions are accumulated and organized for validating the infarction rate. This requires the accompanying concentrated data like a heartbeat, blood pressure, and flow rate observed in different sessions. Based on the session observation and normal data correlation, the PCI level is recommended for the patient. In this analysis process, the value shift due to blocks and high and low blood pressure is accounted for through the deep learning paradigm. This paradigm correlates the above factors with the ECG values for precisely determining PCI from the last known concentration. The learning paradigm is trained based on session and normal observation data through different intervals. This model is validated using the metrics precision, analysis rate, diagnosis recommendation, and complexity.

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Section: Introductionmentioning

confidence: 99%

[Retracted] Application Value of Remote ECG Monitoring in Early Diagnosis of PCI for Acute Myocardial Infarction

Zhou

2022

BioMed Research International

View full text Add to dashboard Cite

show abstract

Noninvasive prediction of late potentials in the signal-averaged ECG in patients with chronic Chagas disease

Cited by 1 publication

References 24 publications

[Retracted] Application Value of Remote ECG Monitoring in Early Diagnosis of PCI for Acute Myocardial Infarction

[Retracted] Application Value of Remote ECG Monitoring in Early Diagnosis of PCI for Acute Myocardial Infarction

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