Results 11 to 20 of about 38,214 (275)
Automated differentiation of wide QRS complex tachycardia using QRS complex polarity
Communications MedicineBackground Wide QRS complex tachycardia (WCT) differentiation into ventricular tachycardia (VT) and supraventricular wide complex tachycardia (SWCT) remains challenging despite numerous 12-lead electrocardiogram (ECG) criteria and algorithms.
Adam M. May +13 more
doaj +4 more sources
Narrow QRS complexes intervening wide QRS complexes [PDF]
Netherlands Heart Journal, 2012 An 80-year-old male was admitted to our hospital with complaints of palpitations. He was diagnosed with atrial fibrillation that stopped spontaneously one hour after admission (not shown). Before he was discharged the following ECG was recorded. How would you judge this ECG (Fig. 1) and, in particular, how would you explain the occurrence of narrow QRS
Wilde, A. A. M., de Jong, J. S. S. G.
openaire +3 more sources
Detection of multi-class arrhythmia using heuristic and deep neural network on edge device
IJAIN (International Journal of Advances in Intelligent Informatics), 2023 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
doaj +1 more source
VLSI Implementation of QRS Complex Detector Based on Wavelet Decomposition
IEEE Access, 2022 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
doaj +1 more source
Is there a utility for QRS dispersion in clinical practice? [PDF]
, 2017 Prognostic markers derived from standard ECG have always been seductive. Increased dispersion of durations of the P wave, of the QRS complex, or of the QT interval has been associated with the risk of atrial fibrillation, ventricular arrhythmias, sudden ...
Chávez-González, Elibet +2 more
core +4 more sources
Detecting Noisy ECG QRS Complexes Using WaveletCNN Autoencoder and ConvLSTM
IEEE Access, 2020 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
doaj +1 more source
Design of a web laboratory interface for ECG signal analysis using MATLAB builder NE
Open Computer Science, 2022 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
doaj +1 more source
IEEE Access, 2021 Recent innovations in wearable electrocardiogram (ECG) devices have enabled various personal healthcare applications based on heart rate variability (HRV).
Suehiro Shimauchi +4 more
doaj +1 more source
Opportunistic linked data querying through approximate membership metadata [PDF]
, 2015 Between URI dereferencing and the SPARQL protocol lies a largely unexplored axis of possible interfaces to Linked Data, each with its own combination of trade-offs.
BH Bloom +9 more
core +1 more source
Alʹmanah Kliničeskoj Mediciny, 2019 The possibility to identify potentially life-threatening ventricular arrhythmias by analysis of standard electrocardiography (ECG) parameters without the use of sophisticated and expensive diagnostic techniques, such as electrophysiological heart studies,
H. F. Salami +2 more
doaj +1 more source