Toward a personal health society in cardiology.
In this paper, we present a new generation of health services that has emerged due to the development of advanced information and communication technology (ICT) solutions, like the Enhanced Personal, Intelligent, and Mobile system for Early Detection and Interpretation of Cardiac Syndromes (EPI-MEDICS). It is a personal self-care system that allows any citizen to self-record high-quality ECGs on demand with a smart portable device, which is endowed with powerful ICT capabilities: self-adaptive embedded intelligence, mobile health record management support on SmartMedia card, embedded Web server, and wireless communication. The EPI-MEDICS solution design also provides ambient, intelligent, and pervasive computing services offering any citizen a ubiquitous, reliable, and efficient management of his/her own cardiac status. A multicentric evaluation performed in Europe with a series of device prototypes and the performance assessment of the original methods of signal synthesis that were designed to guarantee a high interoperability level of the recorded data within the clinical practice, as well as of the decision-support methodologies that were developed for an early detection of life-threatening myocardial ischemia and arrhythmia, at home or anywhere, demonstrate the pertinence of going toward a personal health society in cardiology, which still yields the highest mortality rate in industrialized countries.
Fayn
Jocelyne
J
MTIC Department of Methodologies of Information Processing in Cardiology, EA4171, National Institute of Health and Medical Research, Université Lyon 1, Bron, FR69677 France. jocelyne.fayn@insa-lyon.fr
Rubel
Paul
P
D001185:Artificial Intelligence; D001499:Bayes Theorem; D003195:Computer Communication Networks; D003658:Decision Making, Computer-Assisted; D015716:Electrocardiography, Ambulatory / Q000295:instrumentation / Q000379:methods; D006801:Humans; D008490:Medical Informatics / Q000379:methods; D057285:Precision Medicine / Q000295:instrumentation / Q000379:methods; D011237:Predictive Value of Tests; D012648:Self Care; D012815:Signal Processing, Computer-Assisted; D013686:Telemetry / Q000295:instrumentation*