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Bassam Al-Naami, Hossam Fraihat, Hamza Abu Owida, Khalid Al-Hamad, Roberto De Fazio and Paolo Visconti
Left bundle branch block (LBBB) is a common disorder in the heart?s electrical conduction system that leads to the ventricles? uncoordinated contraction. The complete LBBB is usually associated with underlying heart failure and other cardiac diseases. Th...
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Eduarda Sofia Bastos, Rui Pedro Duarte, Francisco Alexandre Marinho, Roman Rudenko, Hanna Vitaliyivna Denysyuk, Norberto Jorge Gonçalves, Eftim Zdravevski, Carlos Albuquerque, Nuno M. Garcia and Ivan Miguel Pires
Cardiac diseases have increased over the years; thus, it is essential to predict their possible signs. Accurate prediction efficiently treats the patient?s medical history before the attack occurs. Sensors available in commonly used devices may strive fo...
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Carla Contaldi, Stefano De Vivo, Maria L. Martucci, Antonio D?Onofrio, Ernesto Ammendola, Gerardo Nigro, Vittoria Errigo, Giuseppe Pacileo and Daniele Masarone
Background. Cardiac contractility modulation (CCM) is a novel device-based therapy for patients with heart failure with reduced and mild reduced ejection fraction (HFrEF/HFmrEF). CCM increases cardiac performance and produces reverse left ventricular rem...
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Honglei Zhu, Lian Jin, Yanqi Huang and Xiaomei Wu
This manuscript adopted the cardiac modeling and simulation method to study the problems of physiological pacing in clinical application. A multiscale rabbit ventricular electrophysiological model was constructed. We simulated His-bundle pacing (HBP) tre...
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Paloma Tirado-Martin, Judith Liu-Jimenez, Jorge Sanchez-Casanova and Raul Sanchez-Reillo
Currently, machine learning techniques are successfully applied in biometrics and Electrocardiogram (ECG) biometrics specifically. However, not many works deal with different physiological states in the user, which can provide significant heart rate vari...
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Katie Jin and Sikha Bagui
Obstructive sleep apnea (OSA), a common form of sleep apnea generally caused by a collapse of the upper respiratory airway, is associated with one of the leading causes of death in adults: hypertension, cardiovascular and cerebrovascular disease. In this...
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Jose Francisco Saenz-Cogollo and Maurizio Agelli
Finding an optimal combination of features and classifier is still an open problem in the development of automatic heartbeat classification systems, especially when applications that involve resource-constrained devices are considered. In this paper, a n...
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Chun-Cheng Lin, Hung-Yu Chang, Yan-Hua Huang and Cheng-Yu Yeh
Accurate QRS detection is an important first step for almost all automatic electrocardiogram (ECG) analyzing systems. However, QRS detection is difficult, not only because of the wide variety of ECG waveforms but also because of the interferences caused ...
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Matteo D?Aloia, Annalisa Longo and Maria Rizzi
Cardiac signal processing is usually a computationally demanding task as signals are heavily contaminated by noise and other artifacts. In this paper, an effective approach for peak point detection and localization in noisy electrocardiogram (ECG) signal...
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Peet J. du Toit, Alan St. Clair Gibson, Paola Wood, Catherina C. Grant, Kristopher R. Grimes, Avinash M. Tope, Christa Janse van Rensburg, Johannes M. van Rooyen, Andrew Mckune, Evangeline Nortj?, Lizelle Fletcher, Ronel Ferreira, Annie Joubert, Andre Stander
Pág. 6 bladsye
Armed service recruits are faced with many stressors, including a strenuous training regimen that may have an impact on their physiological functioning. The Cardio Stress Index (CSI) is a noninvasive marker of the stress that the heart is experien...
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