Personalised system-on-chip and mobile-app for standard 12-lead reconstruction from the reduced 3-lead system targeting remote health care

Cardiovascular diseases (CVD) are the prime causes of human mortality and morbidity worldwide. However, CVD can be prevented or cured, if detected early or on-time, where technology can be of significant help. Tackling the issue of comfort of patient by reducing the number of electrode, by allowing the remote home monitoring, and by allaying the need of physical presence of patient in hospital is the prime focus. Here, ECG monitoring system has been discussed to increase the comfort level of patient by reducing the number of electrodes and supporting remote health monitoring. In this paper we implement a low complexity real time system to de-noise and reconstruct a standard 12-lead ECG from reduced 3-lead ECG using both hardware and software platform. De-noising is composed of baseline wandering removal, which has been prototyped on VC707 and ATLYS (Spartan 6) evaluation kit and 3-lead to 12-lead signal reconstruction implemented on android platform for mobile devices. The proposed system reconstructs S12 ECG accurately using personalized transformations. PhysioNet's PTBDB has been used for validation. The system generated outputs diagnostic accuracy has been endorsed by two experienced cardiologists.