Technology is intended to serve in many aspects, especially in healthcare. In this work we investigate how providing detailed contextual information records of users testing for heart rate using their smartphones, might enhance diagnostics of heart rate results. We use the HRM sensor in a smartphone device to perform personal heart rate tests and build test reports combined with specific determinants that affect heart rate using the embedded sensors of smartphones without the help of any external sensors. We conducted validation tests on the smartphone HRM sensor to entrust its output, and we customized algorithms for user activity recognition to auto detect user activities and to gather environmental factors that affect heart rate performance. To validate our work we developed a mobile application, HRMCPC to experiment HR testing and user activity and environment factors detection. At the end of our work we found combining these affecting factors in one related report with the corresponding result of HR test, to reveal some potential causes of heart rate variations as compared to the rested heart rate, which might help doctors to better diagnose performance of the heart upon analysis of the generated reports.