Skip to main content
SpringerLink
Log in

Intelligent Healthcare Service Using Health Lifelog Analysis

  • Systems-Level Quality Improvement
  • Published:
Journal of Medical Systems Aims and scope Submit manuscript

Abstract

Recently, there have been many studies of health services combined with smart devices, gathering a user’ health lifelog and managing his or her health for the improvement of the quality of his or her life, using various sensors. However, previous works have problems in the extraction of patterns in person’s complex health lifelog, the analysis of complex relations among those patterns, the extension of them to related services, and reuse of lifelog patterns. The healthcare lifelogs should search efficiently data necessary for users from big data because those gather real-time data of various types of data. The healthcare lifelogs should search efficiently data necessary for users from big data because those gather real-time data of various types of data. In this paper, we propose the intelligent healthcare service for reasoning personal health state with data extraction, pattern analysis, health life ontology modeling using health lifelog analysis based on smart devices. The proposed health information service provided more and more appropriate service with users if more reasoning rules related to more and various healthcare lifelog information gathering are included in the service.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

References

  1. Benyahia, A., Hajjam, A., Hilaire, V., and Hajjam, M., E-care ontological architecture for telemonitoring and alerts detection. Tools with Artificial Intelligence (ICTAI). 2:13–17, 2009. doi:10.1109/ICTAI.2012.183.

    Google Scholar 

  2. Yuan, B., and Herbert, J., Context-aware hybrid reasoning framework for pervasive healthcare. Pers. Ubiquit. Comput. 18:865–881, 2014. doi:10.1007/s00779-013-0696-5.

    Article  Google Scholar 

  3. Liu, Y., Seet, B., and Al-Anbuky, A., An ontology-based context model for wireless sensor network(WSN) management in the internet of things. J. Sens. Actuator Netw. 2:653–674, 2014. doi:10.3390/jsan2040653.

    Article  Google Scholar 

  4. Ogiela L, Ogiela M (2011) Semantic analysis processes in advanced pattern understanding systems. Adv. Comput. Sci. Inform. Technol. 26–30. doi:10.1007/978-3-642-24267-0_4.

  5. Cardinaux, F., Brownsell, S., Hawley, M., and Bradley, D., Modelling of behavioural patterns for abnormality detection in the context of lifestyle reassurance. Lect. Notes Comput. Sci. 5197:243–251, 2008. doi:10.1007/978-3-540-85.

  6. Maekawa T, Watanabe S (2011) Unsupervised activity recognition with user’s physical characteristics data. 15th IEEE Annual International Symposium on Wearable Computers (ISWC) 89–96. doi:10.1109/ISWC.2011.24.

  7. Klimek, R., and Rogus, G., Modeling context-aware and agent-ready systems for the outdoor smart lighting. Artif. Intell. Soft Comput. 8468:257–268, 2014. doi:10.1007/978-3-319-07176-3_23.

    Article  Google Scholar 

  8. Abe M, Fujioka M, Handa H (2012) A life log collecting system supported by smartphone to model higher-level human behaviors. sixth international conference on complex, intelligent, and software intensive System (CISIS) 665–670. doi:10.1109/CISIS.2012.81.

  9. Bouamrane M, Rector A, Hurrell, M (2008) Using ontologies for an intelligent patient modelling, adaptation and management system. OTM 2008. Confederated international conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008, 5332:1458–1470. doi:10.1007/978-3-540-88873-4_36.

  10. Benyahia A, Hajjam A, Hilaire V, Hajjam M, Andres E (2013) Ecare telemonitoring system: Extend the platform. Information, Intelligence, Systems and Applications (IISA), 2013 Fourth International Conference 1-4. doi:10.1109/IISA.2013.6623725.

  11. Rashidi P, Cook D (2010) Mining sensor streams for discovering human activity patterns over time. Proceedings of the 2010 I.E. International Conference on Data Mining 431–440. doi:10.1109/ICDM.2010.40

  12. Liu, B., Yang, Z., and Chen, C., MAC protocol in wireless body area networks for e-health: challenges and a context-aware design. IEEE Wirel. Commun. 20:64–72, 2013. doi:10.1109/MWC.2013.6590052.

    Article  Google Scholar 

  13. Hachaj, H., and Ogiela, M., Framework for cognitive analysis of dynamic perfusion computed tomography with visualization of large volumetric data. J. Electron. Imaging. 21(4):043017, 2012. doi:10.1117/1.JEI.21.4.043017.

    Article  Google Scholar 

  14. https://www.techopedia.com/definition/29466/lifelog. Accessed 12 January 2016

  15. Tanaka G, Mineno H (2013) A method of estimating outdoor situation for lifelog generation. 2nd IEEE Global Conference on Consumer Electronics (GCCE2013) 361–362. doi:10.1109/GCCE.2013.6664855.

  16. Liu R, Chen T, Huang L (2010) Research on human activity recognition based on active learning. 9th International Conference on Machine Learning and Cybernetics (ICMLC) 285–290. doi:10.1109/ICMLC.2010.5581050.

  17. Han, M., Lee, Y., Lee, S., and Vinh, L., Comprehensive context recognizer based on multimodal sensors in a smartphone. Sensors. 12:12588–12605, 2012. doi:10.3390/s120912588.

    Article  PubMed Central  Google Scholar 

  18. Doukas C, Pliakas T, Maglogiannis I (2010) Mobile healthcare information management utilizing Cloud Computing and Android OS. In Proceedings of the 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 1037–1040. doi:10.1109/IEMBS.2010.5628061

  19. http://www.fitbit.com/kr/chargehr. Accessed 16 January 2016.

  20. http://jawbone.com. Accessed 16 January 2016.

  21. http://www.apple.com/watch/. Accessed 16 January 2016.

  22. Cornet, R., and Abu-Hanna, A., Auditing description-logic-based medical terminological systems by detecting equivalent concept definitions. Int. J. Med. Inform. 77(5):336–345, 2008.

    Article  PubMed  Google Scholar 

  23. Choi, C., Choi, J., Lee, E., You, I., and Kim, P., Probabilistic Spatio-temporal inference for motion event understanding. J. Neurocomputing. 122:24–32, 2013. doi:10.1016/j.neucom.2012.12.058.

    Article  Google Scholar 

  24. W3C Recommendation,OWLWebOntology Language Reference. https://www.w3.org/TR/owl-ref/. Accessed 3 January 2016.

  25. https://www.w3.org/2001/sw/wiki/Apache_Jena. Accessed 5 January 2016.

  26. You, I., Choi, J., Choi, C., and Kim, P., Intelligent healthcare service based on context inference using smart device. J. Soft Comput. 18:2577–2586, 2014. doi:10.1007/s00500-014-1420-8.

    Article  Google Scholar 

  27. McGuinness L, Harmelen F (2004) OWL web ontology language overview. http://www.w3.org/TR/owl-features/. Accessed 17 January 2016.

  28. Protégé, Ontology editor and knowledge acquisition system. http://protege.stanford.edu/. Accessed 27 January 2016.

Download references

Acknowledgments

This study was supported by research fund from Chosun University, 2014.

Author information

Authors and Affiliations

  1. Division of Undeclared Majors, Chosun University, 309 Pilmun-daero, Dong-gu, Gwangju, Republic of Korea

    Junho Choi

  2. Department of Computer Engineering, Chosun University, 309 Pilmun-daero, Dong-gu, Gwangju, Republic of Korea

    Chang Choi & Pankoo Kim

  3. Department of Computer Science and Engineering, Sungkyunkwan University, Seobu-ro, 2066, Suwon, Republic of Korea

    Hoon Ko

Authors
  1. Junho Choi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Chang Choi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Hoon Ko
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Pankoo Kim
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Pankoo Kim.

Additional information

This article is part of the Topical Collection on Systems-Level Quality Improvement.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Choi, J., Choi, C., Ko, H. et al. Intelligent Healthcare Service Using Health Lifelog Analysis. J Med Syst 40, 188 (2016). https://doi.org/10.1007/s10916-016-0534-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10916-016-0534-1

Keyword

Search

Navigation