Mobile monitoring and reasoning methods to prevent cardiovascular diseases

Sensors (Switzerland)

Volumn 13, Issue 5, 2013, Pages 6524-6541

  Hervás, Ramón ^a   Fontecha, Jesús ^a   Ausín, David ^b   Castanedo, Federico ^b   López de Ipiña, Diego ^b   Bravo, José ^a  

^a UNIVERSITY OF CASTILLA LA MANCHA   (Spain)

^b UNIVERSITY OF DEUSTO   (Spain)

Author keywords

Ambient assisted living; Blood pressure; CVD risk; Mobile monitoring; Reasoning

Indexed keywords

APPLICATION PROGRAMS; BENCHMARKING; BIOMETRICS; BLOOD PRESSURE; MOBILE DEVICES; RISK PERCEPTION;

AMBIENT ASSISTED LIVING; CARDIO-VASCULAR DISEASE; MOBILE MONITORING; REASONING; REASONING TECHNIQUES; RULE BASED REASONING; SOFTWARE APPLICATIONS; TECHNOLOGICAL ADVANCES;

DISEASES;

EID: 84878082769     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s130506524     Document Type: Article

References (30)

1. Perk, J.; De Backer, G.; Gohlke, H.; Graham, I.; Reiner, Ž.; Verschuren, M.; Albus, C.; Benlian, P.; Boysen, G.; Cifkova, R. et al., European guidelines on cardiovascular disease prevention in clinical practice (version 2012); Eur. Heart J. 2012, 33, 1635-1701.
2. Bravo, J.; Villarreal, V.; Hervás, R.; Urzaiz, G. Using a communication model to collect measurement data through mobile devices. Sensors 2012, 12, 9253-9272.
3. Health Buddy System. Available online: http://www.bosch-telehealth.com/en/us/products/healthbuddy/healthbuddy.html (accessed on 18 March 2013).
4. Sánchez-Tato, I.; Senciales, J.C.; Salinas, J.; Fanucci, L.; Pardini, G.; Costalli, F.; Dalmiani, S.; de la Higuera, J.M.; Vukovic, Z.; Cicigoj, Z. Health @ Home: A Telecare System for Patients with Chronic Heart Failure. In Proceedings of the Fifth International Conference on Broadband and Biomedical Communications, Malaga, Spain, 15-17 December 2010; pp. 1-5.
5. Villarreal, V.; Manzano, J.; Bravo, J.; Hervás, R. Mobile System for Medical Control of Chronic Diseases through Intelligent Devices. In Proceedings of the 4th Workshop on Ambient Assisted Living (IWAAL 2012), Vitoria-Gasteiz, Spain, 3-5 December 2012; Volume, 7657, pp. 49-57.
6. Hunt, D.L; Haynes, R.B.; Hanna, S.E.; Smith, K. Effects of computer-based clinical decision support systems on physician performance and patient outcomes. J. Am. Med. Assoc. 1998, 280, 1339-1346.
7. Garg, A.X.; Adhikari, N.K.J.; McDonald, H.; Rosas-Arellano, M.P.; Devereaux, P.J.; Beyene, J.S.; Justina, H.R.B. Effects of computerized clinical decision support systems on practitioner performance and patient outcomes. J. Am. Med. Assoc. 2005, 293, 1223-1238.
8. Rector, A. Medical Informatics. In The Description Logic Handbook; Cambridge University Press: Cambridge, UK, 2003; pp. 406-426.
9. Rector, A.L.; Rogers, J.E.; Zanstra, P.E.; van Der Haring, E. OpenGALEN: Open source medical terminology and tools. AMIA Annu. Symp. Proc. 2003, 2003, 982.
10. SNOMEDCT. Available online: http://www.nlm.nih.gov/research/umls/Snomed/snomedmain.html (accessed on 20 March 2013).
11. W3C. Web Ontology Language (OWL). 2007. Available online: http://www.w3.org/2004/OWL/ (accessed on 20 March 2013).
12. W3C.SWRL: A Semantic Web Rule Language Combining OWL and RuleML, 2004. Available online: http://www.w3.org/Submission/SWRL/ (accessed on 20 March 2013).
13. Bodenreider, O. Biomedical ontologies in action: Role in knowledge management, data integration and decision support. Yearb Med. Inform. 2008, 67-79.
14. Abidi, S.R.; Abidi, S.S.R.; Hussain, S.; Shepherd, M. Ontology-based modeling of clinical practice guidelines: A clinical decision support system for breast cancer follow-up interventions at primary care settings. Stud. Health Technol. Inf. 1999, 129, 845-849.
15. Colantonio, S.; Martinelli, M.; Moroni, D.; Salvetti, O.; Perticone, F.; Sciacqua, A.; Gualtieri, A. An Approach to Decision Support in Heart Failure. In Proceedings of the Semantic Web Applications and Perspectives (SWAP 2007), Bari, Italy, 26-27 January 2007, pp. 18-20.
16. Farion, K.; Michalowski, W.; Wilk, S.; O'Sullivan, D.; Rubin, S.; Weiss, D. Clinical decision support system for point of care use. Methods Inf Med. 2009, 48, 381-390.
17. Bright, T.J.; Yoko, F.E.; Kuperman, G.J.; Cimino, J.J.; Bakken, S. Development and evaluation of an ontology for guiding appropriate antibiotic prescribing. J. Biomed. Inf. 2012, 45, 120-128.
18. D'Agostino, R.B.; Vasan, R.S.; Pencina, M.J.; Wolf, P.A.; Cobain, M.; Massaro, J.M.; Kannel, W.B. General cardiovascular risk profile for use in primary care: The Framingham Heart Study. Circulation 2008, 117, 743-753.
19. World Health Organization (WHO). World Health Report 2002: Reducing Risks, Promoting Healthy Life; WHO: Geneva, Switzerland, 2002.
20. Victor, R.G. Systemic Hypertension: Mechanisms and Diagnosis. In Braunwald's Heart Disease: A Textbook of Cardiovascular Medicine, 9th ed.; Elsevier: Philadelphia, PA, USA, 2011.
21. Craig Weber. Top 10 High Blood Pressure Risk Factors, 2007. Available online: http://highbloodpressure.about.com/od/understandyourrisk/tp/risktp.htm (accessed on 10 May 2013).
22. Horridge, M.; Bechhofer, S. The OWL API: A Java API for Working with OWL 2 Ontologies, Semant. Web 2011, 2, 11-21.
23. Sirin, E.; Parsia, B.; Grau, B.C.; Kalyanpur, A.; Katz, Y. Pellet: A Practical Owl-dl Reasoner. Web Semantics: Science, Services and Agents on the World Wide Web; Elsevier: Amsterdam, The Netherlands, 2007; Volume 5, pp. 51-53.
24. National Heart Lung and Blood Institute and others. Expert Panel on Integrated Guidelines for Cardiovascular Health and Risk Reduction in Children and Adolescents: Summary Report. Pediatrics 2011, 128, S213-S256.
25. Vuolle, M.; Tiainen, M.; Kallio, T.; Vainio, T.; Kulju, M.; Wigelius H. Developing a Questionnaire for Measuring Mobile Business Service Experience. In Proceedings of the 10th International Conference on HCI with Mobile Devices and Services, Amsterdam, The Netherlands, 2-5 September 2008, pp. 53-62.
26. Fontecha, J.; Navarro, F.J.; Hervás, R.; Bravo, J. Elderly frailty detection by using accelerometer-enabled smartphones and clinical information records. Pers. Ubiquitous Comput. J. 2012, doi:10.1007/s00779-012-0559-5.
27. Hervás, R.; Bravo, J.; Fontecha, J. Awareness Marks: Adaptive services through user interactions with augmented objects. Pers. Ubiquitous Comput. J. 2011, 15, 409-418.
28. Gottschalk, A.; Flocke, S.A. Time spent in face-to-face patient care and work outside the examination room. Ann. Fam. Med. 2005, 3, 488-493.
29. L.N. Why older people accept o reject assistive technology. J. Am. Soc. Aging 1995, 19, 41-46.
30. Phillips, B.; Zhao, H. Predictors of assistive technology abandonment. Assist. Technol. 1993, 5, 36-45.