title: Algorithms based on CWT and classifiers to control cardiac alterations and stress using an ECG and a SCR.
abstract: 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.
authors.affiliation: DeustoTech-Life Unit, DeustoTech Institute of Technology, University of Deusto, 48007 Bilbao, Spain. mviqueira@deusto.es
authors.forename: María Viqueira
authors.initials: MV
authors.lastname: Villarejo
authors.forename: Begoña García
authors.initials: BG
authors.lastname: Zapirain
authors.forename: Amaia Méndez
authors.initials: AM
authors.lastname: Zorrilla
mesh_terms: D000328:Adult; D000465:Algorithms; D004560:Electricity; D004562:Electrocardiography; D005260:Female; D005712:Galvanic Skin Response / Q000502:physiology*; D006321:Heart / Q000503:physiopathology*; D006339:Heart Rate / Q000502:physiology; D006801:Humans; D008297:Male; D008991:Monitoring, Physiologic; D012372:ROC Curve; D013312:Stress, Physiological; D057190:Stroop Test; D058067:Wavelet Analysis; D055815:Young Adult