Situation Recognition and Medical Data Analysis in Pervasive Health Environments

Research Article

Towards combining validation concepts for short and long-term ambient health monitoring

Download746 downloads
  • @INPROCEEDINGS{10.4108/icst.pervasivehealth.2012.248676,
        author={Sebastian Chiriac and Natalie R\o{}ll and Javier Parada and Bruno Rosales},
        title={Towards combining validation concepts for short and long-term ambient health monitoring},
        proceedings={Situation Recognition and Medical Data Analysis in Pervasive Health Environments},
        publisher={IEEE},
        proceedings_a={PERVASENSE},
        year={2012},
        month={7},
        keywords={aal health assessment situation recognition rulebased monitoring system validation},
        doi={10.4108/icst.pervasivehealth.2012.248676}
    }
    
  • Sebastian Chiriac
    Natalie Röll
    Javier Parada
    Bruno Rosales
    Year: 2012
    Towards combining validation concepts for short and long-term ambient health monitoring
    PERVASENSE
    IEEE
    DOI: 10.4108/icst.pervasivehealth.2012.248676
Sebastian Chiriac1,*, Natalie Röll1, Javier Parada1, Bruno Rosales1
  • 1: FZI Research Center for Information Technologies
*Contact email: chiriac@fzi.de

Abstract

Existing health monitoring systems detect either acute health issues or long-term deterioration of health. This paper presents a validation concept for sensors and algorithms that detect emergencies and monitor long term health development. The reviewed ambient monitoring system combines a short term rule based and a long term scoring approach that are validated in a study with 100 households. The resulting dataset is complemented by diaries and participation of care givers. Care givers monitor the health state through questionnaires and by rating generated alerts and warnings. The validation benefits from this multilateral approach and points towards a further integration of long and short-term monitoring.