Long-term chronic conditions pose a significant challenge in modern healthcare systems in terms of a reduction in quality of life and the increased costs associated with their management. The concept of self-management can help address these issues supported through the introduction of home based assistive and rehabilitation telecare technologies. The proposed solution aims to produce a home-based platform that supports a number of chronic diseases such as Chronic Pain, Congestive Heart Failure and Stroke. The long-term vision of this work is to take into consideration supporting further conditions such as Chronic Obstructive Pulmonary Disease. The system aims to promote behavior change by monitoring activity metrics, performing analysis, which ultimately leads to providing feedback to the user in a meaningful and engaging manner.

This paper proposes a new method of rapidly deriving the transfer matrix for the boundary element method (BEM) forward problem from a tailored female torso geometry in the clinical setting. The method allows rapid calculation of epicardial potentials (EP) from body surface potentials (BSP). The use of EPs in previous studies has been shown to improve the successful detection of the life-threatening cardiac condition--acute myocardial infarction. The MRI scanning of a cardiac patient in the clinical setting is not practical and other methods are required to accurately deduce torso geometries for calculation of the transfer matrix. The new method allows the noninvasive calculation of tailored torso geometries from a standard female torso and five measurements taken from the body surface of a patient. This scaling of the torso has been successfully validated by carrying out EP calculations on 40 scaled torsos and ten female subjects. It utilizes the BEM in the calculation of the transfer matrix as the BEM depends only upon the topology of the surfaces of the torso and the heart, the former can now be accurately deduced, leaving only the latter geometry as an unknown.