DocumentCode
496197
Title
Decision support for teletraining of COPD patients
Author
Song, Bianying ; Wolf, K.-H. ; Gietzelt, Matthias ; Scharaa, Osama Al ; Tegtbur, Uwe ; Haux, Reinhold ; Marschollek, Michael
Author_Institution
Peter L. Reichertz Inst. for Med. Inf., Tech. Univ. Braunschweig, Braunschweig, Germany
fYear
2009
fDate
1-3 April 2009
Firstpage
1
Lastpage
6
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.
Keywords
decision support systems; patient rehabilitation; telemedicine; Arden syntax; COPD patients; Drools; bicycle ergometer; chronic obstructive pulmonary disease; clinical decision support system; patients rehabilitation; physical ergometer training sessions; teletraining; Bicycles; Biomedical informatics; Control systems; Costs; Decision support systems; Diseases; Life testing; Medical diagnostic imaging; Medical treatment; Production; Arden Syntax; COPD; JBoss Drools; decision support; training control; web service;
fLanguage
English
Publisher
ieee
Conference_Titel
Pervasive Computing Technologies for Healthcare, 2009. PervasiveHealth 2009. 3rd International Conference on
Conference_Location
London
Print_ISBN
978-963-9799-42-4
Electronic_ISBN
978-963-9799-30-1
Type
conf
DOI
10.4108/ICST.PERVASIVEHEALTH2009.5972
Filename
5191193
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