Mobile diagnostics and personal health

In-vehicle electronic equipment aims to increase safety, by detecting risk factors and taking/suggesting corrective actions. Mobile diagnostics  presents a knowledge-based framework for assisting a driver via her PDA. Car data extracted under On Board Diagnostics (OBD-II) protocol, data acquired from PDA embedded micro-devices and information retrieved from the Web are properly combined: a simple data fusion algorithm has been devised to collect and semantically annotate relevant safety events. Finally, a logic-based matchmaking allows to infer potential risk factors, enabling the system to issue accurate and timely warnings. The proposed approach has been implemented in a prototypical application for the Apple iPhone platform, in order to provide experimental evaluation in real-world test drives for corroborating the approach.

The health care system is characterized by fragmentation and specialization which challenge the likelihood for patients to be all around educated about and engaged with their human services. study contributes to an in-depth understanding of how we can utilize patients' very own wellbeing notes to find out about the medicinal services data framework and patients' involvement of numerous experiences. The individual wellbeing note indicates distinctive parts of the social insurance mazes thinking about the irregularity and in addition intermittence of the data.

 

  • On Board Diagnostics
  • Ubiquitous Computing
  • Data Fusion
  • Intelligent Transportation Systems
  • Remote Monitoring
  • information systems

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