Abstract

ARIAS-CONTRERAS, José Ignacio; NOPE-RODRIGUEZ, Sandra Esperanza  and  CAICEDO-BRAVO, Eduardo. Ambulatory monitoring and early warning generation of cardiac anomalies using mobile devices. Rev. ing. biomed. [online]. 2018, vol.12, n.23, pp.31-43. ISSN 1909-9762.  https://doi.org/10.24050/19099762.n23.2018.900.

This paper presents a portable system for ambulatory heart rate monitoring and early detection of cardiac arrhythmias at high risk. The system consists of a sensor with three surface electrodes to capture the ECG signal, which is transmitted via bluetooth to a mobile device with Android, where the analysis is performed of the acquired signal during a time of 5 s. The proposed system distinguishes between Normal Rhythm [Rhythm Sinus - RS), Ventricular Tachycardia [VT), Ventricular Fibrillation [VF) and Asystole with an accuracy of 100%, 55%, 75% and 90% respectively. However, the system can quickly recover from errors in the subsequent analysis frame. This work focuses on using regular mobile devices which have multitasking and easy access characteristics, implementing algorithms in time domain for extracting parameters that are suitable to use in mobile applications, mainly because of their low computational load and possibility of execution in real time, allowing the detection of cardiac abnormalities automatically and quickly without the need of constant supervision by a specialist for preliminary analysis.

Keywords : Detection of arrhythmias; Mobile devices; Ambulatory monitoring; ECG signal processing.

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