Algorithms Based on CWT and Classifiers to Control Cardiac Alterations and Stress Using an ECG and a SCR

Sensors

Mar໚ Viqueira Villarejo¹  Bego༚ Garc໚ Zapirain¹ 

[1] DeustoTech-Life Unit, DeustoTech Institute of Technology, University of Deusto, 48007 Bilbao, Spain;

关键词: ECG;    arrhythmia;    extrasystole;    heart rate;    SCR;    CWT;    stress;    cardiac alterations;    signal processing;    J48;   

DOI  :  10.3390/s130506141

来源: mdpi

【 摘 要 】

This paper presents the results of using a commercial pulsimeter as an electrocardiogram (ECG) for wireless detection of cardiac alterations and stress levels for home control. For these purposes, signal processing techniques (Continuous Wavelet Transform (CWT) and J48) have been used, respectively. The designed algorithm analyses the ECG signal and is able to detect the heart rate (99.42%), arrhythmia (93.48%) and extrasystoles (99.29%). The detection of stress level is complemented with Skin Conductance Response (SCR), whose success is 94.02%. The heart rate variability does not show added value to the stress detection in this case. With this pulsimeter, it is possible to prevent and detect anomalies for a non-intrusive way associated to a telemedicine system. It is also possible to use it during physical activity due to the fact the CWT minimizes the motion artifacts.

【 授权许可】

CC BY   
© 2013 by the authors; licensee MDPI, Basel, Switzerland.