Biofeedback-based monitoring application for mobile devices

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Supervisor:
Dr. Forstner Bertalan
Department of Automation and Applied Informatics

Mobile devices today have a place in our every day life. A majority of the people carry a smartphone, a tablet or even both. These devices have gone beyond their former purpose which was communication. Today we use these for entertainment, information search, navigation, learning or shopping.

In the field of medicine and healthcare these mobile devices have a less widespread application. Although there are examples for this kind of usage like the measurement of heartrate with the phone’s camera, these have not yet spread widely. Most of the time they mean nothing more than curiosity rather than bringing real value to the people. This means that we cannot yet talk about a real breakthrough here.

Participants of the mobile market dictate an extreme development pace which means the raw computational performance of these devices is constatnly increasing and doubles every year. We have reached a level of computational performance that is sufficient to run medical applications that previously ran only on computers and also make way for new kind of medical examinations and research.

While working on my thesis I participated in a joint research project by Stanford University, Semmelweis University and Budapest University of Technology and Economics. The goal of the projetct was to monitor fetal neural activity and to observe the effects of drugs taken by the mother on the development of the fetal nervous system. For the project we need to develop a mobile system that can be used to perform the necessary measurements, even in a home environment. I worked on the development and implementation of this mobile system and this is the subject matter of this thesis.

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