Determination of the bioimpedance analysis parameters in dengue patients using the self organizing map

Faisal, T. and Ibrahim, F. and Taib, M.N. (2008) Determination of the bioimpedance analysis parameters in dengue patients using the self organizing map. In: 4th Kuala Lumpur International Conference on Biomedical Engineering 2008, Biomed 2008, 2008, Kuala Lumpur.

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Abstract

This paper presents the determination of the bioimpedance analysis parameters in dengue infection using the self organizing map. The self organizing map (SOM) was used for visualizing, understanding and exploring the significant bioimpedance analysis (BIA) parameters that can distinguish between dengue patients and the healthy patients. Database of 329 data set (203 females and 126 males) were used in this study. The investigation was conducted on the day of defervescence of fever. The BIA parameters, which are comprised of Resistance, Reactance, Phase Angle, Body Capacitance, Body Cell Mass, Extracellular Mass, Fat Mass, Body Mass Index, Basal Metabolic Rate, Total Body Water, Intracellular Water, Extracellular Water, Lean body mass, and weight are used. Three bars of training were conducted. The first training was conducted using all the data. The best map size was found as 100 units. Second training was conducted based on the female's data. The best map size was found as 72 units. Finally, 70 units SOM was obtained when the male's data was used. Moreover, significant results were found by visualizing the three trained maps. The SOM showed that the reactance is significantly low in dengue patients when the all data was used. However, when the data was analyzed separately for females and males, the SOM showed that the Intracellular Water is significantly low while the ratio of the Extracellular Water and Intracellular Water are significantly high in both males and females. Moreover, the SOM showed that the reactance is significantly high while the ratio of the Extracellular Mass and Body Cell Mass is significantly low for females. © 2008 Springer-Verlag.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Conference code: 82241 Cited By (since 1996):1 Export Date: 29 January 2014 Source: Scopus doi: 10.1007/978-3-540-69139-6-46 Language of Original Document: English Correspondence Address: Faisal, T.; Department of Biomedical Engineering, University of Malaya, Kuala Lumpur, Malaysia References: Monath, T.P., Dengue: The risk to developed and developing countries (1994) Proc. Natl Acad Sci, 91, pp. 2395-2400. , USA, 1994; Gubler, D.J., Epidemic dengue/dengue hemorrhagic fever as a public health, social and economic problem in the 21st century (2002) Trends Microbiol, 10, pp. 100-103; (1997) Dengue Haemorrhagic Fever: Diagnosis, Treatment, Prevention and Control, , 2 nd ed., Geneva; Ibrahim, F., Taib, M.N., Wan Abas, W.A.B., Guan, C.C., Sulaiman, S., A novel approach to classify risk in dengue hemorrhagic fever (DHF) using bioelectrical impedance analysis (BIA) (2005) IEEE Transactions on Instrumentation and Measurement, 54 (1), pp. 237-244. , DOI 10.1109/TIM.2004.840237; Ibrahim, F., Taib, M.N., Abas, W.A.B.W., Guan, C.C., Sulaiman, S., A novel dengue fever (DF) and dengue haemorrhagic fever (DHF) analysis using artificial neural network (ANN) (2005) Computer Methods and Programs in Biomedicine, 79 (3), pp. 273-281. , DOI 10.1016/j.cmpb.2005.04.002, PII S0169260705000866; Lampinen, L., Oja, E., Distortion tolerant pattem recognition based on self-organizing feature extraction (1995) IEEE Transactions of Neural Network, 6, pp. 539-547; Kohonen, T., Makisara, K., Saramaki, T., PHONOTOPIC MAPS - INSIGHTFUL REPRESENTATION of PHONOLOGICAL FEATURES for SPEECH RECOGNITION (1984) Proceedings - International Conference on Pattern Recognition, pp. 182-185; Heikkonen, J., Koikkalainen, P., Oja, E., Self-organizing maps for collision-free navigation (1993) Proc. World Congress on Neur. Networks, 3, pp. 141-144. , Portland, 1993; Ansari, N., Chen, Y., A neural network model to configure maps for a satellite communication network (1990) Proc. GLOBECOM'90, Vol. 2, IEEE Global Telecommun. Con and Exhibit: Communications: Connecting the Future, Piscataway, NJ, 1990, pp. 1042-1046; Christodoulos, I., Constantinos, S., Pattichis, (1999) Medical Diagnostic Systems Using Ensembles of Neural SOFM Classifiers, , IEEE 1999; Alhoniemi, E., Hollmen, J., Simula, O., Process Monitoring and Modeling Using the Self-Organizing Map (1999) Integrated Computer- Aided Engineering, 6, pp. 3-14; Sebelius, F., Eriksson, L., Holmberg, H., Classification of motor commands using a modified self-organising feature map (2005) Medical Engineering & Physics, 27, pp. 403-413; Nikkila, J., Toronen, P., Kaski, S., Analysis and visualization of gene expression data using Self-Organizing Maps (2002) Neural Networks, 15, pp. 953-966; Haykin, S., (1999) Neural Networks: A Comprehensive Foundation, , Prentice Hall, 2 nd ed., New Jersey; Kohonen, T., The self-organizing map (1990) Proc. IEEE, 78, pp. 1464-1480; Arsuaga Uriarte, E., Diaz Martin, F., Topology Preservation in SOM (2004) International Journal of Applied Mathematics and Computer Sciences, 1. , ISSN 1307-6906; Kohonen, T., (1997) Self-Organizing Maps, , 2 nd ed. Springer-Verlag, Berlin; Li, J., Information Visualization with Self-Organizing Maps, , http://www14.in.tum.de/konferenzen/Jass05/courses/6/Papers/09.pdf, at; Ibrahim, F., (2005) Prognosis of Dengue Fever and Dengue Hemorrhagic Fever Using Bioelectrical Impedance, , Ph.D thesis. University of Malaya; (1990) Concise Medical Dictionary, , Oxford University Press, 3 rd ed., Oxford; Biodynamics Model 450 Bioimpedance Analyzer user's guide Basic Principles of Bioimpedance Testing, , First edition, copyright© Biodynamics Corporation; Lbrahim, F., Ismail, N.A., Taib, M.N., Modeling of hemoglobin in dengue fever and dengue hemorrhagic fever using bioelectrical impedance (2004) Physiol. Meas., 25, pp. 607-616
Uncontrolled Keywords: Bioimpedance analysis, Dengue patients, healthy subjects, Self Organizing Map, Unsupervised learning, Body cells, Body mass, Body mass index, Data sets, Extracellular, Fat mass, Intracellular water, Metabolic rates, Phase angles, Total body water, Biomedical engineering, Self organizing maps, Enzyme activity
Subjects: T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering
Depositing User: Mr Jenal S
Date Deposited: 17 Feb 2014 08:20
Last Modified: 01 Nov 2017 04:06
URI: http://eprints.um.edu.my/id/eprint/9272

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