Designing a Patient Monitoring System Using Cloud and Semantic Web Technologies
Moving into a new era of healthcare, new tools and
devices are developed to extend and improve health services, such as
remote patient monitoring and risk prevention. In this concept,
Internet of Things (IoT) and Cloud Computing present great
advantages by providing remote and efficient services, as well as
cooperation between patients, clinicians, researchers and other health
professionals. This paper focuses on patients suffering from bipolar
disorder, a brain disorder that belongs to a group of conditions
called affective disorders, which is characterized by great mood
swings. We exploit the advantages of Semantic Web and Cloud
Technologies to develop a patient monitoring system to support
clinicians. Based on intelligently filtering of evidence-knowledge and
individual-specific information we aim to provide treatment
notifications and recommended function tests at appropriate times or
concluding into alerts for serious mood changes and patient’s nonresponse
to treatment. We propose an architecture as the back-end
part of a cloud platform for IoT, intertwining intelligence devices
with patients’ daily routine and clinicians’ support.
[1] I. Chiuchisan, and O. Geman, “An Approach of a Decision Support and
Home Monitoring System for Patients with Neurological Disorders
Using Internet of Things Concepts,” WSEAS Transations on Systems,
vol. 13, pp. 460-469, 2014.
[2] U. Varshney, “A Framework for Wireless Monitoring of Mental Health
Conditions,” in Conf. Proc. EMBS 2009 IEEE 31st Annual International
Conference, pp. 5219-5222.
[3] B. S. Shastry, “Bipolar disorder: An Update,” Neurochem. Int., vol. 46,
no. 4, pp. 273-279, 2005.
[4] G. Valenza, C. Gentili, A. Lanata, and E. P. Scilingo, “Mood
Recognition in Bipolar Patients Through the PSYCHE Platform:
Preliminary Evaluations and Perspectives,” Artif. Intell. Med, vol. 57,
no. 1, pp. 49-58, 2013.
[5] P. Prociow, K. Wac, and J. Crowe, “Mobile Psychiatry: Towards
Improving the Care for Bipolar Disorder,” Int. J. Ment. Health. Syst.,
vol. 6, no. 1, pp. 5, 2012.
[6] J. Alvarez-Lozano, V. Osmani, O. Mayora, M. Frost, J. Bardram, M.
Faurholt-Jepsen, and L.V. Kessing, “Tell Me Your Apps and I Will Tell
You Your Mood: Correlation of Apps Usage with Bipolar Disorder
State,” in ACM Proceedings 7th International Conference on Pervasive
Technologies Related to Assistive Environments, Rhodes Island, 2014.
[7] K. R. Connolly, and M. E. Thase, “The Clinical Management of Bipolar
Disorder: A Review of Evidence-Based Guidelines,” Prim. Care.
Companion CNS Disord., vol. 13, no. 4, pp. PCC.10r01097, 2011.
[8] T. Berners-Lee, J. Hendler, and O. Lassila, “The Semantic Web,”
Scientific American, pp. 28-37, May 2001.
[9] G. Antoniou, and F. Harmelen, “Web Ontology Language: OWL,”
Handbook on Ontologies, 2004.
[10] I. Horrocks, P. F. Patel-Schneider, H. Boley, S. Tabet, B. Grosof, and M.
Dean, “SWRL: A semantic web rule language combining OWL and
RuleML,” W3C Member Submission, May 2004.
[11] S. Hussain, and S. S. R. Abidi, “Ontology Driven CPG Authoring and
Execution via Semantic Web Framework,” in Proceedings 40th IEEE
International Conference on System Sciences, IEEE Computer Society,
Hawaii, 2007.
[12] E. Sanchez, C. Toro, E. Carrasco, P. Bonachela, C. Parra, G. Bueno, and
F. Guijarro, “A Knowledge-Based Clinical Decision Support System for
the Diagnosis of Alzheimer Disease,” in Proceedings 13th IEEE
International Conference on e-Health Networking, Application &
Services, Columbia, MO, 2011, pp. 355–361.
[13] J. S. Deogun, and W. Spaulding, “Conceptual Development of Mental
Health Ontologies. Advances in Intelligent Information Systems,”
Studies in Computational Intelligence, vol. 265, pp. 299-333, 2010.
[14] N. Noy, and B. Rector, “Defining N-ary Relations on the Semantic
Web,” W3C Working Group Note, April 2006.
[15] S. Batsakis, and E. G. M. Petrakis, “SOWL: A Framework for Handling
Spatio-temporal Information in OWL 2.0,” in RuleML Europe, ser.
Lecture Notes in Computer Science, Springer, 2011, vol. 6826, pp. 242–
249.
[16] Mell P, Grance T, “The NIST definition of cloud computing,” Commun.
ACM., vol. 53, no. 6, pp. 50, 2010.
[17] A. M. Kuo, “Opportunities and challenges of cloud computing to
improve health care services,” J. Med. Internet Res., vol. 13, no. 3, pp.
e67, Sep. 2011.
[18] L. N. Yatham, S. H. Kennedy, S. V. Parikh, A. Schaffer, S. Beaulieu, M.
Alda, C. O'Donovan, G. Macqueen, R. S. McIntyre, V. Sharma, A.
Ravindran, L. T. Young, R. Milev, D. J. Bond, B. N. Frey, B. I.
Goldstein, B. Lafer, B. Birmaher, K. Ha, W. A. Nolen, and M. Berk,
“Canadian Network for Mood and Anxiety Treatments (CANMAT) and
International Society for Bipolar Disorders (ISBD) collaborative update
of CANMAT guidelines for the management of patients with bipolar
disorder: update 2013,” Bipolar Disord., vol. 15, no. 1, pp. 1-44, Feb.
2013.
[19] H. Grunze, E. Vieta, G. M. Goodwin, C. Bowden, R. W. Licht , H.-J.
Moller, S. Kasper and WFSBP Task Force on treatment guidelines for
bipolar disorders, “The World Federation of Societies of Biological
Psychiatry (WFSBP) Guidelines for the Biological Treatment of Bipolar
Disorders: Update 2009 on the Treatment of Acute Mania, The World
Journal of Biological Psychiatry, vol. 10, no. 2, pp. 85-116, 2009.
[20] National Institute for Health and Care Excellence, “Bipolar disorder: the
assessment and management of bipolar disorder in adults, children and
young people in primary and secondary care,” National Institute for
Health and Care Excellence, NICE clinical guideline 185, Sep. 2014.
[21] Royal Australian and New Zealand College of Psychiatrists Clinical
Practice Guidelines Team for Bipolar Disorder, “Australian and New
Zealand clinical practice guidelines for the treatment of bipolar
disorder,” Aust. N. Z. J. Psychiatry, vol. 38, no. 5, pp. 280-305, May
2004.
[22] G. M. Goodwin, Consensus Group of the British Association for
Psychopharmacology. Collaborators: S. Chandler, I. Anderson, F.
Colom, D. Coghill, J. Cookson, N. Ferrier, J. Geddes, G. Goodwin, P.
Haddad, N. Hunt, N. Kapur, I. Jones, D. Lam, A. Lingford-Hughes, D.
Miklowitz, R. Morriss, B. Sahakian, J. Scott, D. Taylor, J. Thakore, A.
Thapar, A. Thomas, P. McGuire, S. Cooper, P. Cowen, C. Manning, K.
Ebmeier, J. Cavanagh, T. Barnes, and K. J. Aitchison, “Evidence-based
guidelines for treating bipolar disorder: revised second edition--
recommendations from the British Association for
Psychopharmacology,” J. Psychopharmacol., vol. 23, no. 4, pp. 346-388,
June 2009.
[23] G. Heja, G. Surja, and P. Varga, “Ontological analysis of SNOMED
CT,” BMC Med. Inform. Decis. Mak., vol. 8, no. 1 (Suppl), pp. S8, Oct.
2008.
[24] M. Moller, D. Sonntag, and P. Ernst, “Modeling the International
classification of diseases (ICD-10) in OWL,” in Second International
Joint Conference 2010 Knowledge Discovery, Knowledge Engineering
and Knowledge Management, pp. 226– 240.
[25] B. Smith, and P. Grenon, “The Cornucopia of Formal Ontological
Relations,” Dialectica, vol. 58, no. 3, pp. 279-296, 2004.
[26] S. Schulz, H. Stenzhorn, M. Boeker, and B.Smith, “Strengths and
limitations of formal ontologies in the biomedical domain,” Rev.
Electron Comun. Inf. Inov. Saude, vol. 3, no. 1, pp. 31-45, March 2009. [27] K. Halland, K. Britz, and A. Gerber, “Investigations into the use of
SNOMED CT to enhance an OpenMRS health information system,”
South African Computer Journal, vol. 47, pp. 33-46, 2011.
[28] J. H. Gennari, M. A. Musen, R. W. Fergerson, W. E. Grosso, M.
Crubezy, H. Eriksson, N. F. Noy, and S. W. Tu, “The evolution of
Protege: an environment for knowledge-based systems development,”
Int. J. Hum. Comput. Stud., vol. 58, no. 1, pp. 89-123, 2003.
[29] A. Preventis, E. Petrakis, and S. Batsakis, “Chronos Ed: A Tool for
Handling Temporal Ontologies in Protege,” International Journal of
Artificial Intelligence Tools (IJAIT), 2014.
[30] F. Baader, “Theory, Implementation and Applications,” in The
Description Logic Handbook, Cambridge Univ. Pr., 2003.
[31] S. Sotiriadis, E. G. M. Petrakis, S. Covaci, P. Zampognaro, E. Georga,
and C. Thuemmler, “An Architecture for Designing Future Internet (FI)
Applications in Sensitive Domains: Expressing the Software to Data
Paradigm by Utilizing Hybrid Cloud Technology,” in Proceedings IEEE
13th International Conference, Bioinformatics and Bioengineering
(BIBE), Chania, 2013, pp. 1-6.
[32] M. B. SoaresdeM, R. A. Moreno, and D. Hupfeld-Moreno,
“Electroconvulsive therapy in treatment-resistant mania: case reports,”
Rev. Hosp. Clin., vol. 57, no. 1, pp. 31-38, 2002.
[33] D. Bender, and K. Sartipi, “HL7 FHIR: An Agile and RESTful approach
to healthcare information exchange,” in 26th IEEE International
Symposium, Computer-Based Medical Systems, Porto, 2013, pp. 326-
331.
[1] I. Chiuchisan, and O. Geman, “An Approach of a Decision Support and
Home Monitoring System for Patients with Neurological Disorders
Using Internet of Things Concepts,” WSEAS Transations on Systems,
vol. 13, pp. 460-469, 2014.
[2] U. Varshney, “A Framework for Wireless Monitoring of Mental Health
Conditions,” in Conf. Proc. EMBS 2009 IEEE 31st Annual International
Conference, pp. 5219-5222.
[3] B. S. Shastry, “Bipolar disorder: An Update,” Neurochem. Int., vol. 46,
no. 4, pp. 273-279, 2005.
[4] G. Valenza, C. Gentili, A. Lanata, and E. P. Scilingo, “Mood
Recognition in Bipolar Patients Through the PSYCHE Platform:
Preliminary Evaluations and Perspectives,” Artif. Intell. Med, vol. 57,
no. 1, pp. 49-58, 2013.
[5] P. Prociow, K. Wac, and J. Crowe, “Mobile Psychiatry: Towards
Improving the Care for Bipolar Disorder,” Int. J. Ment. Health. Syst.,
vol. 6, no. 1, pp. 5, 2012.
[6] J. Alvarez-Lozano, V. Osmani, O. Mayora, M. Frost, J. Bardram, M.
Faurholt-Jepsen, and L.V. Kessing, “Tell Me Your Apps and I Will Tell
You Your Mood: Correlation of Apps Usage with Bipolar Disorder
State,” in ACM Proceedings 7th International Conference on Pervasive
Technologies Related to Assistive Environments, Rhodes Island, 2014.
[7] K. R. Connolly, and M. E. Thase, “The Clinical Management of Bipolar
Disorder: A Review of Evidence-Based Guidelines,” Prim. Care.
Companion CNS Disord., vol. 13, no. 4, pp. PCC.10r01097, 2011.
[8] T. Berners-Lee, J. Hendler, and O. Lassila, “The Semantic Web,”
Scientific American, pp. 28-37, May 2001.
[9] G. Antoniou, and F. Harmelen, “Web Ontology Language: OWL,”
Handbook on Ontologies, 2004.
[10] I. Horrocks, P. F. Patel-Schneider, H. Boley, S. Tabet, B. Grosof, and M.
Dean, “SWRL: A semantic web rule language combining OWL and
RuleML,” W3C Member Submission, May 2004.
[11] S. Hussain, and S. S. R. Abidi, “Ontology Driven CPG Authoring and
Execution via Semantic Web Framework,” in Proceedings 40th IEEE
International Conference on System Sciences, IEEE Computer Society,
Hawaii, 2007.
[12] E. Sanchez, C. Toro, E. Carrasco, P. Bonachela, C. Parra, G. Bueno, and
F. Guijarro, “A Knowledge-Based Clinical Decision Support System for
the Diagnosis of Alzheimer Disease,” in Proceedings 13th IEEE
International Conference on e-Health Networking, Application &
Services, Columbia, MO, 2011, pp. 355–361.
[13] J. S. Deogun, and W. Spaulding, “Conceptual Development of Mental
Health Ontologies. Advances in Intelligent Information Systems,”
Studies in Computational Intelligence, vol. 265, pp. 299-333, 2010.
[14] N. Noy, and B. Rector, “Defining N-ary Relations on the Semantic
Web,” W3C Working Group Note, April 2006.
[15] S. Batsakis, and E. G. M. Petrakis, “SOWL: A Framework for Handling
Spatio-temporal Information in OWL 2.0,” in RuleML Europe, ser.
Lecture Notes in Computer Science, Springer, 2011, vol. 6826, pp. 242–
249.
[16] Mell P, Grance T, “The NIST definition of cloud computing,” Commun.
ACM., vol. 53, no. 6, pp. 50, 2010.
[17] A. M. Kuo, “Opportunities and challenges of cloud computing to
improve health care services,” J. Med. Internet Res., vol. 13, no. 3, pp.
e67, Sep. 2011.
[18] L. N. Yatham, S. H. Kennedy, S. V. Parikh, A. Schaffer, S. Beaulieu, M.
Alda, C. O'Donovan, G. Macqueen, R. S. McIntyre, V. Sharma, A.
Ravindran, L. T. Young, R. Milev, D. J. Bond, B. N. Frey, B. I.
Goldstein, B. Lafer, B. Birmaher, K. Ha, W. A. Nolen, and M. Berk,
“Canadian Network for Mood and Anxiety Treatments (CANMAT) and
International Society for Bipolar Disorders (ISBD) collaborative update
of CANMAT guidelines for the management of patients with bipolar
disorder: update 2013,” Bipolar Disord., vol. 15, no. 1, pp. 1-44, Feb.
2013.
[19] H. Grunze, E. Vieta, G. M. Goodwin, C. Bowden, R. W. Licht , H.-J.
Moller, S. Kasper and WFSBP Task Force on treatment guidelines for
bipolar disorders, “The World Federation of Societies of Biological
Psychiatry (WFSBP) Guidelines for the Biological Treatment of Bipolar
Disorders: Update 2009 on the Treatment of Acute Mania, The World
Journal of Biological Psychiatry, vol. 10, no. 2, pp. 85-116, 2009.
[20] National Institute for Health and Care Excellence, “Bipolar disorder: the
assessment and management of bipolar disorder in adults, children and
young people in primary and secondary care,” National Institute for
Health and Care Excellence, NICE clinical guideline 185, Sep. 2014.
[21] Royal Australian and New Zealand College of Psychiatrists Clinical
Practice Guidelines Team for Bipolar Disorder, “Australian and New
Zealand clinical practice guidelines for the treatment of bipolar
disorder,” Aust. N. Z. J. Psychiatry, vol. 38, no. 5, pp. 280-305, May
2004.
[22] G. M. Goodwin, Consensus Group of the British Association for
Psychopharmacology. Collaborators: S. Chandler, I. Anderson, F.
Colom, D. Coghill, J. Cookson, N. Ferrier, J. Geddes, G. Goodwin, P.
Haddad, N. Hunt, N. Kapur, I. Jones, D. Lam, A. Lingford-Hughes, D.
Miklowitz, R. Morriss, B. Sahakian, J. Scott, D. Taylor, J. Thakore, A.
Thapar, A. Thomas, P. McGuire, S. Cooper, P. Cowen, C. Manning, K.
Ebmeier, J. Cavanagh, T. Barnes, and K. J. Aitchison, “Evidence-based
guidelines for treating bipolar disorder: revised second edition--
recommendations from the British Association for
Psychopharmacology,” J. Psychopharmacol., vol. 23, no. 4, pp. 346-388,
June 2009.
[23] G. Heja, G. Surja, and P. Varga, “Ontological analysis of SNOMED
CT,” BMC Med. Inform. Decis. Mak., vol. 8, no. 1 (Suppl), pp. S8, Oct.
2008.
[24] M. Moller, D. Sonntag, and P. Ernst, “Modeling the International
classification of diseases (ICD-10) in OWL,” in Second International
Joint Conference 2010 Knowledge Discovery, Knowledge Engineering
and Knowledge Management, pp. 226– 240.
[25] B. Smith, and P. Grenon, “The Cornucopia of Formal Ontological
Relations,” Dialectica, vol. 58, no. 3, pp. 279-296, 2004.
[26] S. Schulz, H. Stenzhorn, M. Boeker, and B.Smith, “Strengths and
limitations of formal ontologies in the biomedical domain,” Rev.
Electron Comun. Inf. Inov. Saude, vol. 3, no. 1, pp. 31-45, March 2009. [27] K. Halland, K. Britz, and A. Gerber, “Investigations into the use of
SNOMED CT to enhance an OpenMRS health information system,”
South African Computer Journal, vol. 47, pp. 33-46, 2011.
[28] J. H. Gennari, M. A. Musen, R. W. Fergerson, W. E. Grosso, M.
Crubezy, H. Eriksson, N. F. Noy, and S. W. Tu, “The evolution of
Protege: an environment for knowledge-based systems development,”
Int. J. Hum. Comput. Stud., vol. 58, no. 1, pp. 89-123, 2003.
[29] A. Preventis, E. Petrakis, and S. Batsakis, “Chronos Ed: A Tool for
Handling Temporal Ontologies in Protege,” International Journal of
Artificial Intelligence Tools (IJAIT), 2014.
[30] F. Baader, “Theory, Implementation and Applications,” in The
Description Logic Handbook, Cambridge Univ. Pr., 2003.
[31] S. Sotiriadis, E. G. M. Petrakis, S. Covaci, P. Zampognaro, E. Georga,
and C. Thuemmler, “An Architecture for Designing Future Internet (FI)
Applications in Sensitive Domains: Expressing the Software to Data
Paradigm by Utilizing Hybrid Cloud Technology,” in Proceedings IEEE
13th International Conference, Bioinformatics and Bioengineering
(BIBE), Chania, 2013, pp. 1-6.
[32] M. B. SoaresdeM, R. A. Moreno, and D. Hupfeld-Moreno,
“Electroconvulsive therapy in treatment-resistant mania: case reports,”
Rev. Hosp. Clin., vol. 57, no. 1, pp. 31-38, 2002.
[33] D. Bender, and K. Sartipi, “HL7 FHIR: An Agile and RESTful approach
to healthcare information exchange,” in 26th IEEE International
Symposium, Computer-Based Medical Systems, Porto, 2013, pp. 326-
331.
@article{"International Journal of Information, Control and Computer Sciences:69781", author = "Chryssa Thermolia and Ekaterini S. Bei and Stelios Sotiriadis and Kostas Stravoskoufos and Euripides G.M. Petrakis", title = "Designing a Patient Monitoring System Using Cloud and Semantic Web Technologies", abstract = "Moving into a new era of healthcare, new tools and
devices are developed to extend and improve health services, such as
remote patient monitoring and risk prevention. In this concept,
Internet of Things (IoT) and Cloud Computing present great
advantages by providing remote and efficient services, as well as
cooperation between patients, clinicians, researchers and other health
professionals. This paper focuses on patients suffering from bipolar
disorder, a brain disorder that belongs to a group of conditions
called affective disorders, which is characterized by great mood
swings. We exploit the advantages of Semantic Web and Cloud
Technologies to develop a patient monitoring system to support
clinicians. Based on intelligently filtering of evidence-knowledge and
individual-specific information we aim to provide treatment
notifications and recommended function tests at appropriate times or
concluding into alerts for serious mood changes and patient’s nonresponse
to treatment. We propose an architecture as the back-end
part of a cloud platform for IoT, intertwining intelligence devices
with patients’ daily routine and clinicians’ support.
", keywords = "Bipolar disorder, intelligent systems patient
monitoring, semantic web technologies, IoT.", volume = "9", number = "5", pages = "1126-8", }
