An mHealth application for female fertility assistance

The paper presents an mHealth solution aimed at assisting the communication, medical procedures and decision making of patients and specialists in the field of fertility and female health as a general. The solution consists of server-side cloud-based services (fHealth services) and two client-side Android applications - for patients (fHealth Patient App) and for medical personnel (fHealth Doctor App). The server-side is implemented on several Virtual Machines with load balancer and includes two data storage components - NoSQL for internal application data (e.g. user profiles, messages, events, etc.) and time-series for sensor data and continuous measurements. A use-case for ovulation detection from collected body temperature measurements in the field of female fertility is proposed. The use-case discuss the use of data mining techniques for pattern extraction from data series with low accuracy measurements and data gaps.