Extensible framework to support measurement- and analysis tasks

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

The sensors become cheaper and more popular among users thanks to the poliferation of the Internet of Things. This process also affected the healthcare industry where many sensors were already available to us.

While smartphones and smartwatches have built-in heart rate monitors, easy-to-use standalone ECG sensors are also available for daily use. Using the collected data from these sensors we can make everyday life easier, since we get a continous evaluation of our health.

More complex data are analysed by specialists, but patients are often forced to wait weeks for the results. By automatically evaluating the measurements via a software system we can shorten the waiting period and significantly reduce the medical staff's workload.

In this thesis I present the design and development of a framework that could help realize the dynamic handling of various types of healthcare analysis modules. Through the framework, these modules gain access to multiple services, which simplifies their development. The thesis also takes a look at the integration of this framework into the server side of a healthcare software system, and it's challanges.

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