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Aim. To assess the prevalence of wide QRS complex (≥110 ms) among the population, depending on sex, age, place of residence (urban or rural area), the presence of obesity and cardiovascular disease.Material and methods. The analysis was based on the ESSE-
G. A. Muromtseva+21 more
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Novel electrocardiographic criteria for the diagnosis of arrhythmogenic right ventricular cardiomyopathy [PDF]
Aims: In order to improve the electrocardiographic (ECG) diagnosis of arrhythmogenic right ventricular cardiomyopathy (ARVC), we evaluated novel quantitative parameters of the QRS complex and the value of bipolar chest leads (CF leads) computed from the ...
Bastiaenen, Rachel+6 more
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Background Brugada syndrome (BrS) is an inherited arrhythmic disease associated with an increased risk of major arrhythmic events (MAE). Previous studies reported that a wide QRS complex may be useful as a predictor of MAE in BrS patients.
Pattara Rattanawong+9 more
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PERANAN DURASI QRS DAN SKOR QRS SELVESTER DALAM KEBERHASILAN REPERFUSI MIOKARD
AbstrakPerubahan gambaran elektrokardiogram (EKG) terjadi pada fase akut IMA EST baik berupa perubahan repolarisasi ataupun perubahan depolarisasi. Skor QRS Selvester dan pemanjangan kompleks QRS merupakan parameter yang digunakan untuk memperkirakan ...
Yose Ramda Ilhami
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ECG filtering and QRS extraction under steep pulse interference
Applying a steep pulse voltage of appropriate amplitude to a cell membrane can induce transient and reversible breakdown of the membrane, which has broad application prospects in biomedicine and clinical fields.
Xi-tong YAO+5 more
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An evaluation of planarity of the spatial QRS loop by three dimensional vectorcardiography: its emergence and loss [PDF]
Aims: To objectively characterize and mathematically justify the observation that vectorcardiographic QRS loops in normal individuals are more planar than those from patients with ST elevation myocardial infarction (STEMI).
Goswami, Damodar Prasad+4 more
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VLSI Implementation of QRS Complex Detector Based on Wavelet Decomposition
This paper presents a very large–scale integration chip for a novel discrete wavelet transform (DWT) based QRS complex detection algorithm. In many aspects of electrocardiogram (ECG) analyses, QRS complex detection is the first step.
Yuan-Ho Chen+5 more
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Design of a web laboratory interface for ECG signal analysis using MATLAB builder NE
An electrocardiogram (ECG) is a noninvasive test, determining any defect in the heart rate or rhythm or changes in the shape of the QRS complex is very significant to detect cardiac arrhythmia.
Jaber Hussain A.+2 more
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Detection of multi-class arrhythmia using heuristic and deep neural network on edge device
Heart disease is a heart condition that sometimes causes a person to die suddenly. One indication is a rhythm disorder known as arrhythmia. Multi-class Arrhythmia Detection has followed: QRS complex detection procedure and arrhythmia classification based
Arief Kurniawan+5 more
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Detecting Noisy ECG QRS Complexes Using WaveletCNN Autoencoder and ConvLSTM
In this paper, we propose a novel machine learning pipeline to detect QRS complexes in very noisy wearable electrocardiogram (ECG) devices. The machine learning pipeline consists of a Butterworth filter, two wavelet convolutional neural networks ...
Brosnan Yuen, Xiaodai Dong, Tao Lu
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