Abstract
Environments such as healthcare systems rely on wireless sensor networks as one of the trends being established in today’s industry. Being one of the most researched topics today, ubiquitous healthcare is mostly concerned with providing fast and efficient service. This paper proposes the Health Monitor Agent (HMA) to monitor patients’ conditions, provide early detection of serious cases, and take appropriate action in case of emergency. We present this agent to the Ubiquitous and Intelligent Framework. The proposed agent recognizes medical conditions based on symptom patterns from the biosensors in the ubiquitous healthcare environment. The HMA classifies the symptom patterns into the correct medical condition using the multilayer perceptron (MLP). Our proposed algorithm recorded the highest accuracy rate compared to the ZeroR, Simple Logistic, and J48 algorithms.
This research was financially supported by the Human Resource Training Project for Regional Innovation of Korea Industrial Technology Foundation (KOTEF) and Basic Research Program of the Korea Science and Engineering Foundation.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Jang, S., Lee, J., Lee, J., Park, S., Hwang, S., Yoon, H., Yoon, Y.: Ubiquitous Home Healthcare Management System with Early Warning Reporting. In: Proceedings of the International Conference on Convergence Information Technology, pp. 2394–2401 (2007)
Braecklein, M., Tchoudovski, I., Moor, C., Egorouchkina, K., Pang, L., Bloz, A.: Wireless Telecardiological Monitoring for the Homecare Area. In: Proceedings of the 2005 IEEE, Engineering and Biology 27th Annual Conference, pp. 3793–3795 (2005)
Rodríguez, M., Favela, J.: Autonomous Agents to Support Interoperability and Physical Integration in Pervasive Environments. In: Proceedings of AWIC, pp. 307–317 (2003)
Bellavista, P., Corradi, A., Stefanelli, C.: Mobile Agent Middleware for Mobile Computing. Computer 34(3), 73–81 (2001)
Han, S., Yoon, Y., Youn, H., Cho, W.: A New Middleware Architecture for Ubiquitous Computing Environment. In: Proceedings of STFEUS, pp. 117–121 (2004)
Brause, R.: Medical Analysis and Diagnosis by Neural Networks. In: Crespo, J.L., Maojo, V., Martin, F. (eds.) ISMDA 2001. LNCS, vol. 2199, pp. 1–13. Springer, Heidelberg (2001)
Joo, S., Moon, W., Kim, H.: Computer-aided Diagnosis of Solid Breast Nodules on Ultrasound with Digital Image Processing and Artificial Neural Networks. Engineering in Medicine and Biology Society 1, 1397–1400 (2004)
Giger, M.: Computer-aided Diagnosis of Breast Lesions in Medical Images. IEEE Computational Science and Engineering 5(5), 39–45 (2000)
Verma, B., Zakos, J.: A Computer-aided Diagnosis System for Digital Mammograms based on Fuzzy-neural and Feature Extraction Techniques. IEEE Transactions on Information Technology in Biomedicine 5(1), 46–54 (2001)
Mateo, R., Salvo, M., Lee, J.: Balanced Clustering using Mobile Agents for the Ubiquitous Healthcare Systems. In: Proceedings of the International Conference on Convergence and Hybrid Information Technology, pp. 686–691 (2008)
Cervantes, L., Gerardo, B., Mateo, R., Lee, J.: Recognizing Medical Conditions from Symptom Patters Using Neural Networks. In: Proceedings of the 14th KSII Fall Conference, pp. 251–255 (2006)
Della Mea, V.: Agents Acting and Moving in Healthcare Scenario: A Paradigm of Telemedical Collaboration. IEEE Transaction on Information technology in Biomedicine 5(1), 10–15 (2001)
Antkowiak, M.: Artificial Neural Networks vs. Support Vector Machines for Skin Disease Recognition. Master’s Thesis, Department of Computing Science, Umea University, Sweden (2006)
Weinstein, J., Kohn, K., Grever, M.: Neural Computing in Cancer Drug Development. Predicting Mechanism of Action, Science, 447–451 (1992)
Dickson, S.: Investigation of the use of Neural Networks for Computerized Medical Image Analysis. PhD Thesis, Department of Computer Science, University of Bristol (1998)
Sordo, M.: Introduction to Neural Networks in Healthcare. Open Clinical (2002), http://www.openclinical.org/docs/int/neuralnetworks011.pdf
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Salvo, M.A.G., Mateo, R.M.A., Lee, J., Lee, M. (2009). Health Monitor Agent Based on Neural Networks for Ubiquitous Healthcare Environment*. In: Håkansson, A., Nguyen, N.T., Hartung, R.L., Howlett, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems: Technologies and Applications. KES-AMSTA 2009. Lecture Notes in Computer Science(), vol 5559. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01665-3_38
Download citation
DOI: https://doi.org/10.1007/978-3-642-01665-3_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01664-6
Online ISBN: 978-3-642-01665-3
eBook Packages: Computer ScienceComputer Science (R0)