Wide-QRS complex tachycardia during pregnancy: Treatment with cardioversion and review

2002 ◽  
Vol 20 (5) ◽  
pp. 0492-0493 ◽  
Author(s):  
Cem Oktay ◽  
Mustafa Kesapli ◽  
Emre Altekin
Keyword(s):  
Qrs Complex

Evaluation of the Specificity of Morphological Electrocardiographic Criteria for the Differential Diagnosis of Wide QRS Complex Tachycardia in Patients With Intraventricular Conduction Defects

Circulation ◽  
1997 ◽  
Vol 96 (10) ◽  
pp. 3527-3533 ◽  
Author(s):  
Teresa Alberca ◽  
Jesús Almendral ◽  
Petra Sanz ◽  
Aureliano Almazan ◽  
Jose Luis Cantalapiedra ◽  
...  
Keyword(s):  
Differential Diagnosis ◽  
Qrs Complex ◽  
Intraventricular Conduction

Narrow QRS complex tachycardia with a 2:1 atrioventricular block: What is the mechanism

2021 ◽  
Author(s):  
Yuichiro Miyazaki ◽  
Takashi Noda ◽  
Koji Miyamoto ◽  
Satoshi Nagase ◽  
Takeshi Aiba ◽  
...  
Keyword(s):  
Atrioventricular Block ◽  
Qrs Complex ◽  
Narrow Qrs ◽  
Narrow Qrs Complex

scholarly journals Data Independent Acquisition Based Bi-Directional Deep Networks for Biometric ECG Authentication

2021 ◽  
Vol 11 (3) ◽  
pp. 1125
Author(s):  
Htet Myet Lynn ◽  
Pankoo Kim ◽  
Sung Bum Pan
Keyword(s):  
Short Term Memory ◽  
Feature Learning ◽  
Biometric Authentication ◽  
Qrs Complex ◽  
Data Types ◽  
Ecg Signals ◽  
Data Independent Acquisition ◽  
Deep Networks ◽  
Classification Tasks ◽  
Electrocardiogram Ecg

In this report, the study of non-fiducial based approaches for Electrocardiogram(ECG) biometric authentication is examined, and several excessive techniques are proposed to perform comparative experiments for evaluating the best possible approach for all the classification tasks. Non-fiducial methods are designed to extract the discriminative information of a signal without annotating fiducial points. However, this process requires peak detection to identify a heartbeat signal. Based on recent studies that usually rely on heartbeat segmentation, QRS detection is required, and the process can be complicated for ECG signals for which the QRS complex is absent. Thus, many studies only conduct biometric authentication tasks on ECG signals with QRS complexes, and are hindered by similar limitations. To overcome this issue, we proposed a data-independent acquisition method to facilitate highly generalizable signal processing and feature learning processes. This is achieved by enhancing random segmentation to avoid complicated fiducial feature extraction, along with auto-correlation to eliminate the phase difference due to random segmentation. Subsequently, a bidirectional recurrent neural network (RNN) with long short-term memory (LSTM) deep networks is utilized to automatically learn the features associated with the signal and to perform an authentication task. The experimental results suggest that the proposed data-independent approach using a BLSTM network achieves a relatively high classification accuracy for every dataset relative to the compared techniques. Moreover, it exhibited a significantly higher accuracy rate in experiments using ECG signals without the QRS complex. The results also revealed that data-dependent methods can only perform well for specified data types and amendments of data variations, whereas the presented approach can also be considered for generalization to other quasi-periodical biometric signal-based classification tasks in future studies.

scholarly journals Flecainide-Induced QRS Complex Widening Correlates with Negative Inotropy

Heart Rhythm ◽  
2021 ◽  
Author(s):  
Ana B. Rabelo Evangelista ◽  
Felipe R. Monteiro ◽  
Bruce D. Nearing ◽  
Luiz Belardinelli ◽  
Richard L. Verrier
Keyword(s):  
Qrs Complex

scholarly journals Alternating and gradually changing narrow QRS complex tachycardia in a patient with heart failure: What is the mechanism?

2021 ◽  
Author(s):  
Songwen Chen ◽  
Feilong Zhang ◽  
Yong Wei ◽  
Xiaofeng Lu ◽  
Genqing Zhou ◽  
...  
Keyword(s):  
Heart Failure ◽  
Qrs Complex ◽  
Narrow Qrs ◽  
Narrow Qrs Complex
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