3d International ICST Conference on Pervasive Computing Technologies for Healthcare

Research Article

Decision support for teletraining of COPD patients

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  • @INPROCEEDINGS{10.4108/ICST.PERVASIVEHEALTH2009.5972,
        author={Bianying Song and Klaus-Hendrik Wolf and Matthias Gietzelt and Osama Al Scharaa and Uwe Tegtbur and Reinhold Haux and Michael Marschollek},
        title={Decision support for teletraining of COPD patients},
        proceedings={3d International ICST Conference on Pervasive Computing Technologies for Healthcare},
        proceedings_a={PERVASIVEHEALTH},
        year={2009},
        month={8},
        keywords={COPD decision support web service JBoss Drools Arden Syntax training control},
        doi={10.4108/ICST.PERVASIVEHEALTH2009.5972}
    }
    
  • Bianying Song
    Klaus-Hendrik Wolf
    Matthias Gietzelt
    Osama Al Scharaa
    Uwe Tegtbur
    Reinhold Haux
    Michael Marschollek
    Year: 2009
    Decision support for teletraining of COPD patients
    PERVASIVEHEALTH
    ICST
    DOI: 10.4108/ICST.PERVASIVEHEALTH2009.5972
Bianying Song1,*, Klaus-Hendrik Wolf1, Matthias Gietzelt1, Osama Al Scharaa1, Uwe Tegtbur2, Reinhold Haux1, Michael Marschollek1
  • 1: Peter L. Reichertz Institute for Medical Informatics, TU-Braunschweig and Medical School Hannover, 38106, Braunschweig, Germany
  • 2: Institute for Sports Medicine, Medical School Hannover, 30625, Hannover, Germany
*Contact email: bianying.song@plri.de

Abstract

Supervised physical training has been shown to promote rehabilitation of patients affected by chronic obstructive pulmonary disease (COPD). Currently, due to limited resources, not all COPD patients can be trained by an expert supervisor. The objective of our research is to construct a clinical decision support system (DSS) which observes and controls physical ergometer training sessions of COPD patients. A systematic literature review and expert interviews were carried out to build up the knowledge base for the DSS. Nine production rules were established and standardized by Drools and Arden Syntax. The developed software autonomously controls training sessions on a bicycle ergometer. Thus it offers a new way for the rehabilitation of COPD patients. Tests in a laboratory environment have confirmed its correct function, but the effects of its use for COPD patients' rehabilitation and their quality of life have to be investigated in a further study.