Android framework for automatic diagnosis of heart diseases

This paper proposes the model of an Android based framework. It gives functionality to identify QRS complex, cardiac rhythm rate and filters. Moreover, with its software engineered structure, it can be expanded with children classes specialized on other functions, as well as automated heart decease diagnosis. As it is compatible with the standard Health Level 7 (HL7) format, more specifically, the Annotated ECG (aECG) HL7 version 3, a system developed with the proposed framework can interoperate with any other HL7 compatible ECG system. It has been tested with the OpenEinthoven platform together with the BlueHeart Android application. It intends to be a benchmark for the development of heart diseases diagnosis algorithms.