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Azeddine Mjahad, Jose V. Frances-Villora, Manuel Bataller-Mompean and Alfredo Rosado-Muñoz
Automated External Defibrillation (AED) and Implantable Cardioverter Defibrillators (ICD) require accurate algorithms to detect arrhythmias and discriminate among them. This work proposes specific features for algorithms implemented in such devices.
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Nellyzeth Flores, Marco A. Reyna, Roberto L. Avitia, Jose Antonio Cardenas-Haro and Conrado Garcia-Gonzalez
Cardiovascular disease (CVD) is a global public health problem. It is a disease of multifactorial origin, and with this characteristic, having an accurate diagnosis of its incidence is a problem that health personnel face every day. That is why having al...
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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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Junichiro Hayano, Norihiro Ueda, Masaya Kisohara, Yutaka Yoshida, Haruhito Tanaka and Emi Yuda
This study proposes a new bio-signal marker that could be used for estimating non-REM sleep periods from nighttime heartbeat signals obtained by wearable electrographic and pulse wave sensors.
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