Long-term monitoring of personal health parameters for the prevention of cardiovascular diseases
16. Januar 2017, 16:15 , 17:45
Behaviour-related and cardiovascular diseases are the number one reason for premature death worldwide. Preventative measures such as pursuing a healthy lifestyle considerably reduce the risk of developing such a disease. Monitoring health related behaviours and parameters is a basic tool for many preventative measures. Since some years internet connected consumer health devices such as activity trackers are available that allow monitoring of health related parameters, including behaviours and vital parameters, by technical and medical laypersons.
In my PhD thesis I investigate how data from these smart health devices can be used to provide medically relevant information for the prevention of cardiovascular diseases. I address three key aspects: the user’s interaction with the devices, the data collected by the devices, and the utilisation of this data for the provision of medically relevant information.
The user's interaction with smart health devices impacts availability and quality of data. I investigated this impact and found that smart health devices are in principle suitable for long-term use, but users utilize them differently, depending, amongst others, on usability of the devices and appropriateness of data.
The data collected by the devices faces an inherent trade-off between precision and relevance on the one hand, and effort of use and availability on the other. I discuss this trade-off and suggest technological solu-tions such as enrichment of existing data, as well as improved human-machine interaction techniques to re-duce the user's effort can balance the trade-off.
To utilise the data for the provision of medically relevant information I suggest a four step process for inte-grating multiple data sources and enriching them to meaningful health features.
My work contributes to the development of lifelong cardiovascular prevention systems, enabling interven-tions and applications e.g. for long term change and persistence of health behaviours, for improving self knowledge and health literacy, and for decision support and coaching.
Betreuer: Prof. Dr. Susanne Boll, Prof. Dr.-Ing. Andreas Hein