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.
Original language | English |
---|---|
Title of host publication | 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
Publisher | IEEE Institute of Electrical and Electronic Engineers |
Pages | 1567-1570 |
Number of pages | 4 |
ISBN (Electronic) | 978-1-4577-1589-1 |
ISBN (Print) | 978-142444121-1 |
DOIs | |
Publication status | Published - 1 Dec 2011 |
MoE publication type | A4 Article in a conference publication |
Event | 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, United States Duration: 30 Aug 2011 → 3 Sept 2011 |
Conference
Conference | 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 |
---|---|
Country/Territory | United States |
City | Boston |
Period | 30/08/11 → 3/09/11 |