A Sensor-Based Framework to Support Clinicians in Dementia Assessment: The Results of a Pilot Study

  • Anastasios Karakostas
  • Georgios Meditskos
  • Thanos G. Stavropoulos
  • Ioannis Kompatsiaris
  • Magda Tsolaki
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 376)


This paper presents the main mechanisms of a sensor-based framework to support clinical diagnosis of people suffering from Alzheimer disease and dementia. The framework monitors patients at a lab environment while trying to accomplish specific tasks. Different types of sensors are used for monitoring the patients, while a graphical user interface enables the clinicians to access and visualize the results. Sensor data is semantically integrated and analyzed using knowledge-driven interpretation techniques based on Semantic Web technologies. Moreover, this paper presents encouraging preliminary results of a pilot study in which 59 patients (29 Alzheimer disease –AD– and 30 mild cognitive impairment –MCI) participated in a clinical protocol. Their analysis indicated that MCI patients outperformed AD patients in specific tasks of the protocol, verifying the initial clinical assessment.


Alzheimer Sensors Semantic interpretation Daily activities 



This work has been supported by the EU FP7 project Dem@Care: Dementia Ambient Care – Multi-Sensing Monitoring for Intelligent Remote Management and Decision Support under contract No. 288199.


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Anastasios Karakostas
    • 1
  • Georgios Meditskos
    • 1
  • Thanos G. Stavropoulos
    • 1
  • Ioannis Kompatsiaris
    • 1
  • Magda Tsolaki
    • 1
  1. 1.Centre for Research and Technology HellasInformation Technologies InstituteThermiGreece

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