Older people are often faced with dementia. It has been shown, that people with this illness still respond to music they like. Therefore, we developed a music recommender system, which grounds its decisions in biomedical data. All data transfer and functionality is implemented on an android device. In a first step we conducted a study. During this study users had to listen to music while we measured their physiological feedback with a wearable device. After this we developed algorithms that are able to predict the user feedback while listening to a song. In a parallel process we developed a recommender system that link songs with each other (collaborative filtering). In the end we combined all three research and development processes in a mobile application that automatically plays songs to the listener that he or she likes.