In many developing countries health care conditions are poor and there is a lack of healthcare professionals and diagnostics tools. Cheap and easy-to-use diagnostics tools have been developed to make practicing medicine easier under these conditions. However, signal monitors can be many and spread out, making it hard for the limited number of medical workers to handle. The monitors are also stationary, making mobile supervision impossible. In this thesis a solution is suggested, made of a hardware setup consisting of an Arduino UNO and Bluetooth module paired with an application, capable of analog to digital conversion, wireless transfer and display of medical signals. Furthermore, two different QRS detection algorithms are tested, a larger and accurate model called Pan-Tompkins and a smaller and faster, moving average based filtering system. The transmission circuit as well as the signal displayed showed promise. However, the analog to digital conversion was noisy due to the power source. The tested algorithms showed that speed and low computational requirements are traded for precision.