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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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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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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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Tibor Balázs, János Dobránszky
Pág. 41 - 44
Cardiac resynchronization therapy (CRT) is an effective nonpharmacological therapeutic method for the treatment of selected patients with chronic heart failure with a wide QRS complex and mechanical dyssynchrony of cardiac ventricles. A new technique is ...
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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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