An audit of uncertainty in multi-scale cardiac electrophysiology models
RH Clayton, Y Aboelkassem… - … of the Royal …, 2020 - royalsocietypublishing.org
Models of electrical activation and recovery in cardiac cells and tissue have become
valuable research tools, and are beginning to be used in safety-critical applications …
valuable research tools, and are beginning to be used in safety-critical applications …
[HTML][HTML] Mini review: Deep learning for atrial segmentation from late gadolinium-enhanced MRIs
Segmentation and 3D reconstruction of the human atria is of crucial importance for precise
diagnosis and treatment of atrial fibrillation, the most common cardiac arrhythmia. However …
diagnosis and treatment of atrial fibrillation, the most common cardiac arrhythmia. However …
A novel electrochemical aptasensor for the sensitive detection of kanamycin based on UiO-66-NH 2/MCA/MWCNT@ rGONR nanocomposites
X Yao, J Shen, Q Liu, H Fa, M Yang, C Hou - Analytical Methods, 2020 - pubs.rsc.org
In this work, we designed and synthesized a nanocomposite comprising an amine-
functionalized metal organic framework (UiO-66-NH2), a multiwalled carbon nanotube …
functionalized metal organic framework (UiO-66-NH2), a multiwalled carbon nanotube …
Optical mapping-validated machine learning improves atrial fibrillation driver detection by multi-electrode mapping
Background: Atrial fibrillation (AF) can be maintained by localized intramural reentrant
drivers. However, AF driver detection by clinical surface-only multielectrode mapping (MEM) …
drivers. However, AF driver detection by clinical surface-only multielectrode mapping (MEM) …
[HTML][HTML] Automatic detection of atrial fibrillation based on CNN-LSTM and shortcut connection
Y Ping, C Chen, L Wu, Y Wang, M Shu - Healthcare, 2020 - mdpi.com
Atrial fibrillation (AF) is one of the most common persistent arrhythmias, which has a close
connection to a large number of cardiovascular diseases. However, if spotted early, the …
connection to a large number of cardiovascular diseases. However, if spotted early, the …
Automated classification of atrial fibrillation using artificial neural network for wearable devices
F Ma, J Zhang, W Liang, J Xue - Mathematical Problems in …, 2020 - Wiley Online Library
Atrial fibrillation (AF), as one of the most common arrhythmia diseases in clinic, is a
malignant threat to human health. However, AF is difficult to monitor in real time due to its …
malignant threat to human health. However, AF is difficult to monitor in real time due to its …
[HTML][HTML] Impaired neuronal sodium channels cause intranodal conduction failure and reentrant arrhythmias in human sinoatrial node
Mechanisms for human sinoatrial node (SAN) dysfunction are poorly understood and
whether human SAN excitability requires voltage-gated sodium channels (Nav) remains …
whether human SAN excitability requires voltage-gated sodium channels (Nav) remains …
[HTML][HTML] Identifying locations of re-entrant drivers from patient-specific distribution of fibrosis in the left atrium
Clinical evidence suggests a link between fibrosis in the left atrium (LA) and atrial fibrillation
(AF), the most common sustained arrhythmia. Image-derived fibrosis is increasingly used for …
(AF), the most common sustained arrhythmia. Image-derived fibrosis is increasingly used for …
[HTML][HTML] Epicardial fibrosis explains increased endo–epicardial dissociation and epicardial breakthroughs in human atrial fibrillation
Background Atrial fibrillation (AF) is accompanied by progressive epicardial fibrosis,
dissociation of electrical activity between the epicardial layer and the endocardial bundle …
dissociation of electrical activity between the epicardial layer and the endocardial bundle …
Unmasking arrhythmogenic hubs of reentry driving persistent atrial fibrillation for patient‐specific treatment
Background Atrial fibrillation (AF) driver mechanisms are obscured to clinical multielectrode
mapping approaches that provide partial, surface‐only visualization of unstable 3 …
mapping approaches that provide partial, surface‐only visualization of unstable 3 …