Supporting rehabilitation training of COPD patients through multivariate sensor-based monitoring and autonomous control using a Bayesian network: Prototype and results of a feasibility study

Informatics for Health and Social Care

Volumn 35, Issue 3-4, 2010, Pages 144-156

  Schulze, Mareike ^a   Song, Bianying ^a   Gietzelt, Matthias ^a   Wolf, Klaus Hendrik ^a   Kayser, Riana ^b   Tegtbur, Uwe ^b   Marschollek, Michael ^a  

^a TECHNICAL UNIVERSITY OF BRAUNSCHWEIG   (Germany)

^b HANNOVER MEDICAL SCHOOL   (Germany)

Author keywords

Bayesian network; COPD; decision support system; health care; monitoring; training control

Indexed keywords

AGED; ARTICLE; BAYES THEOREM; CHRONIC OBSTRUCTIVE LUNG DISEASE; ERGOMETRY; FEMALE; HUMAN; INSTRUMENTATION; KINESIOTHERAPY; MALE; MIDDLE AGED; REMOTE SENSING;

AGED; BAYES THEOREM; ERGOMETRY; EXERCISE THERAPY; FEMALE; HUMANS; MALE; MIDDLE AGED; PULMONARY DISEASE, CHRONIC OBSTRUCTIVE; REMOTE SENSING TECHNOLOGY;

EID: 78650075152     PISSN: 17538157     EISSN: 17538165     Source Type: Journal    
DOI: 10.3109/17538157.2010.528659     Document Type: Article

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