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This work intends to define requirements to design, deploy, evaluate and validate the feasibility, efficiency and safety of an enriched telecardiology application for providing remotely ECG and Holter diagnostic/monitor services as atrial fibrillation screening. The platform must include supporting tools for e-learning that allow to operate the solution by general practitioners and patients for second opinion, best follow-up through home monitoring and on-line learning, boosted by an on-demand virtualized data recording and training infrastructure, based on a cloudified infrastructure. It can be understood as an experiment that will use a cloudified infrastructure to deploy new telecardiology related services, particularly for atrial fibrillation patients that could be monitorized from several ambulatories. [ABSTRACT FROM AUTHOR]

In the majority of developing economies there has been limitation to rapid growth of technology-rich and expensive broadband telecommunication infrastructure (e.g. optical fiber networks), which is prerequisite of e-Health. However, along with the emergence of broadband mobile communication networks, mHealth seems advantageous and cost-efficient mode of e-Health in those countries, likewise Georgia. The first mHealth project in Georgia on m-Telemonitoring (MTM-1) of Cardiac arrhythmia - 54 patients with main medical results, Quality of Service (QoS), Quality of Experience (QoE), cost-efficiency and remaining challenges - is presented, as well as the outline of its continuation - MTM-2 project, which aims improvement of decision making for emergency cardiac patients and usage of mHealth applications for integrated care provision in remote regions of Georgia. [ABSTRACT FROM PUBLISHER]

Interpretation of cardiac rhythms is highly dependent on accurate detection of atrial activity. The robustness is an important requirement for clinical usage. This study presents an adaptive QRS detection method for real-time clinical ECG signals. In this method, center differentiation is applied as a whitening filer, and a composite function enhances the high frequency QRS energy. To robustly detect clinical data, a novel threshold selection method based on statistics is proposed. Moreover, this study provides a benchmarking clinical dataset acquired from cardiac patients. Our extensive experimental results using the MIT-BIH arrhythmia database show that our technique can detect beats with 99.67% accuracy, and the sensitivity is 99.83%. With the exceptional QRS detection result, further testing of the proposed method with clinical data shows the accuracy for atrial and ventricular arrhythmias is 82.9% and 90.2%, respectively. [ABSTRACT FROM PUBLISHER]

Our aim is to describe the evolution of the telediagnostic service of the Telehealth Network of Minas Gerais (TNMG), a public telehealth service in Brazil. It started in 2006 with 82 cities, restricted to electrocardiography analysis. Currently it extends to 772 cities - performing also Holter, ambulatory blood pressure monitoring and retinography analysis - and 48 ambulances in the north of the state, as part of a myocardial infarction system of care. Using low-cost equipment and simple technology, TNMG has employed various strategies to increase telehealth use. The number of ECGs performed by TNMG has progressively increased. It was expected to achieve 2 million in February 2015. The utilization rates were around 90%. It proved to be economically sound, promoting savings of 45M USD for an investment of 10.2M USD. It is currently a regular health service in the state, integrated into the healthcare system. In conclusion, the telehealth model developed in Minas Gerais produced good clinical and economical results. [ABSTRACT FROM AUTHOR]