Abstract
BACKGROUND: 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. OBJECTIVES: The
objective of our research is to construct a decision support system
(DSS) which observes and controls physical ergometer training sessions
of COPD patients. METHODS: A systematic literature review and expert
interviews were carried out to build up the knowledge base for the
DSS. RESULTS: Nine production rules were established and standardized
by Drools and Arden Syntax. The developed software autonomously controls
training sessions on a bicycle ergometer on the basis of vital signs
data. Thus it offers a new way for the rehabilitation of COPD patients.
CONCLUSION: Evaluation with nine healthy subjects in a laboratory
environment has 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.
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