Digital hälsa lockar Anna Sjörs Dahlman till E2
Physiological monitoring is more and more common in our society, both through wearable technology and integrated in vehicles, buildings and the environment around us. The information is intended to be used to assess e.g. health status, driver states, sports performance or onset of acute illness in everyday life. Other examples of the need for physiological monitoring can be found in healthcare applications, for example, in patient monitoring in homes, hospital environments or ambulances. When put into a wider context the applications may become part of eHealth and Digital Health solutions which rely on local and remote reliable physiological monitoring.
However, many physiological monitoring systems are not specifically designed and validated for use in uncontrolled environments, thereby limiting the possibility to provide reliable physiological data and/or diagnostics and prognostics. Implementation of decision-making systems governed by large amounts of real-time physiological data in the real world, e.g. in Digital Health, faces many challenges but also great opportunities. If this new technology will be used to make safety critical decisions based on physiological data, there is an increasing need for independent research on the validity, reliability, and safety of the systems.
Driver state monitoring will be used as an example of an area where physiological monitoring is developing at an accelerated pace. This area of research and development is driven by the belief that accurate detection of distraction, sleepiness or other states that could influence driving performance and safety will be critical in reaching the ambitious goal of zero fatalities or serious injuries involving road traffic. A key aspect here is to connect applied research with basic science to deepen the knowledge about how driver states affect driver behavior and safety/fitness to drive.