22   Artículos

 
en línea
Feham Peer-Zada, Dima Hamze and Julio Garcia    
This study demonstrated the impact that heart fat can have in atrial fibrillation patients and its association with fibrillation recurrence after ablation treatment.
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Laura Arbeloa-Gómez, Jaime Álvarez-Vidal and Jose Luis Izquierdo-García    
Atrial fibrillation involves an important type of heart arrhythmia caused by a lack of control in the electrical signals that arrive in the heart, produce an irregular auricular contraction, and induce blood clotting, which finally can lead to stroke. At... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Timothy J. Hunter, Jermiah J. Joseph, Udunna Anazodo, Sanjay R. Kharche, Christopher W. McIntyre and Daniel Goldman    
Background: Atrial fibrillation is a prevalent cardiac arrhythmia and may reduce cerebral blood perfusion augmenting the risk of dementia. We hypothesize that geometric variations in the cerebral arterial structure called the Circle of Willis (CoW) play ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Zouhair Haddi, Bouchra Ananou, Miquel Alfaras, Mustapha Ouladsine, Jean-Claude Deharo, Narcís Avellana and Stéphane Delliaux    
Atrial fibrillation (AF) is still a major cause of disease morbidity and mortality, making its early diagnosis desirable and urging researchers to develop efficient methods devoted to automatic AF detection. Till now, the analysis of Holter-ECG recording... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Hongpo Zhang, Hongzhuang Gu, Junli Gao, Peng Lu, Guanhe Chen and Zongmin Wang    
Atrial fibrillation (AF) is an arrhythmia that may cause blood clots and increase the risk of stroke and heart failure. Traditional 12-lead electrocardiogram (ECG) acquisition equipment is complex and difficult to carry. Short single-lead ECG recordings ... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Daniel Reiser, Peter Reichel, Stefan Pechmann, Maen Mallah, Maximilian Oppelt, Amelie Hagelauer, Marco Breiling, Dietmar Fey and Marc Reichenbach    
In embedded applications that use neural networks (NNs) for classification tasks, it is important to not only minimize the power consumption of the NN calculation, but of the whole system. Optimization approaches for individual parts exist, such as quant... ver más
Revista: Journal of Low Power Electronics and Applications    Formato: Electrónico

 
en línea
Yunfei Cheng, Ying Hu, Mengshu Hou, Tongjie Pan, Wenwen He and Yalan Ye    
In the wearable health monitoring based on compressed sensing, atrial fibrillation detection directly from the compressed ECG can effectively reduce the time cost of data processing rather than classification after reconstruction. However, the existing m... ver más
Revista: Information    Formato: Electrónico

 
en línea
Sidrah Liaqat, Kia Dashtipour, Adnan Zahid, Khaled Assaleh, Kamran Arshad and Naeem Ramzan    
The atrial fibrillation (AF) is one of the most well-known cardiac arrhythmias in clinical practice, with a prevalence of 1?2% in the community, which can increase the risk of stroke and myocardial infarction. The detection of AF electrocardiogram (ECG) ... ver más
Revista: Information    Formato: Electrónico

 
en línea
Kaihao Gu, Yiheng Wang, Shengjie Yan and Xiaomei Wu    
The circumferential multipolar catheter (CMC) facilitates pulmonary vein isolation (PVI) for the treatment of atrial fibrillation by catheter ablation. However, the ablation characteristics of CMC are not well understood. This study uses the finite eleme... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Junsang Park, Jin-kook Kim, Sunghoon Jung, Yeongjoon Gil, Jong-Il Choi and Ho Sung Son    
Accurate electrocardiogram (ECG) interpretation is crucial in the clinical ECG workflow because it is most likely associated with a disease that can cause major problems in the body. In this study, we proposed an ECG-signal multi-classification model usi... ver más
Revista: Applied Sciences    Formato: Electrónico

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