All of the previously mentioned body signs can be continuously measured so that this information can be used to
provide urgent medical assistance to patients, especially those that belong to risk groups and need constant attention.
The information obtained from each body sign can also be combined to describe more complex situations that need
proper attention and recorded as historical, aggregated data about the patient. Moreover, doctors can make use of all
this data in order to improve their diagnosis and provide better care for the patients.
In this scenario, the existence of several types of body sensors developed by different manufacturers is noteworthy.
Therefore, a software platform would be suitable for integrating this myriad of heterogeneous devices in order
to make the large amount of data collected by them available at the Internet. With the use of such a platform, the
provided high-level interfaces allow accessing the heterogeneous body sensors in a transparent way, thus hiding their
specificities from end-users (e.g., doctors) and/or medical applications that make use of them. Furthermore, the dynamic
discovery and integration of new devices into the environment and the proper management of their state and
location is an important requirement to be tackled. These requirements can be properly addressed by making use of
an IoT middleware platform, as discussed in Section 2.2.