Abstract
To unveil effects of data sets with uncertainty, we develop a method applying fuzzy logic to determine data weights in fuzzy inference. Preferable adjustments of initial weight assignment shall be obtained by comparison of assumptions’ truth grade values with practical effectiveness evaluation. We apply this method in the process of implying patients’ depressive mood for the user case study of developing antidepressant multimedia therapy and evaluate its veracity. According to users’ feedback, iterative application of this method may leads to further understanding of EEG data’s effects in user context.
Chapter PDF
Similar content being viewed by others
Keywords
References
World Health Organization, http://www.who.int
Corchado, J.M., Bajo, J., de Paz, Y., Tapia, D.I.: Intelligent Environment for monitoring Alzheimer patients, agent technology for healthcare, to be published in Decision Support Systems, http://www.sciencedirect.com
Choudhri, A., Kagal, L., Joshi, A., Finin, T., Yesha, Y.: Patient Service: Electronic Patient Record Redaction and Delivery in Pervasive Environments. In: Fifth International Workshop on Enterprise Networking and Computing in Healthcare Industry (2003)
Barger, T.S., Brown, D.E., Alwan, M.: Health-Status Monitoring Through Analysis of Behavioral Patterns. IEEE Transactions on Systems, Man and Cybernetics 35(1), 22–27 (2005)
Hatzinger, M., Hemmeter, U.M., Brand, S., Ising, M., Holsboer-Trachsler, E.: Electroencephalographic Sleep Profiles in Treatment Course and Long-term Outcome of Major Depression: Association with DEX/CRH-test Response. Journal of Psychiatric Research 38, 453–465 (2004)
Urretavizcaya, M., Moreno, I., Benlloch, L., Cardoner, N., Serrallonga, J., Menchón, J.M., Vallejo, J.: Auditory Event-Related Potentials in 50 Melancholic Patients: Increased N100, N200 and P300 Latencies and Diminished P300 Amplitude. Journal of Affective Disorders 74, 293–297 (2003)
Jantzen, J.: Tutorial On Fuzzy Logic. Grid Information Services for Distributed Resource Sharing. Kongens Lyngby, DENMARK. Tech. report no 98-E 868 (logic)
Zadeh, L.A.: Outline of a New Approach to the Analysis of Complex Systems and Decision Process. IEEE Transactions on Systems, Man, and Cybernetics SMC-3(1) (January 1973)
Mamdani, E.H.: Application of Fuzzy Logic to Approximate Reasoning using Linguistic Synthesis. IEEE Transactions on Computers C-26(12), 1182–1191 (1977)
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
Zheng, F., Hu, B., Liu, L., Zhu, T., Li, Y., Qi, Y. (2009). Fuzzy Logic in Exploring Data Effects: A Way to Unveil Uncertainty in EEG Feedback. In: Duffy, V.G. (eds) Digital Human Modeling. ICDHM 2009. Lecture Notes in Computer Science, vol 5620. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02809-0_80
Download citation
DOI: https://doi.org/10.1007/978-3-642-02809-0_80
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02808-3
Online ISBN: 978-3-642-02809-0
eBook Packages: Computer ScienceComputer Science (R0)