DocumentCode
2473898
Title
An ontology-based framework aiming to support personalized exercise prescription: Application in cardiac rehabilitation
Author
Kostopoulos, Konstantinos ; Chouvarda, Ioanna ; Koutkias, Vassilis ; Kokonozi, Athina ; Van Gils, Mark ; Maglaveras, Nicos
Author_Institution
Lab. of Med. Inf., Aristotle Univ. of Thessaloniki, Thessaloniki, Greece
fYear
2011
fDate
Aug. 30 2011-Sept. 3 2011
Firstpage
1567
Lastpage
1570
Abstract
Exercise constitutes an important intervention aiming to improve health and quality of life for several categories of patients. Personalized exercise prescription is a rather complicated issue, requiring several aspects to be taken into account, e.g. patient´s medical history and response to exercise, medication treatment, personal preferences, etc. The present work proposes an ontology-based framework designed to facilitate healthcare professionals in personalized exercise prescription. The framework encapsulates the necessary domain knowledge and the appropriate inference logic, so as to generate exercise plan suggestions based on patient´s profile. It also supports readjustments of a prescribed plan according to the patient´s response with respect to goal achievement and changes in physical-medical status. An instantiation of the proposed framework for cardiac rehabilitation illustrates the virtue and the applicability of this work.
Keywords
formal logic; inference mechanisms; medical expert systems; ontologies (artificial intelligence); patient rehabilitation; cardiac rehabilitation; domain knowledge; inference logic; ontology based framework; personalized exercise prescription; Diseases; Heart rate; Indexes; Legged locomotion; Medical diagnostic imaging; Ontologies; Cardiovascular Diseases; Decision Support Systems, Clinical; Electronic Prescribing; Exercise Therapy; Humans; Individualized Medicine; Software; Therapy, Computer-Assisted; User-Computer Interface;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location
Boston, MA
ISSN
1557-170X
Print_ISBN
978-1-4244-4121-1
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2011.6090456
Filename
6090456
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