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Sensors 2015, 15(3), 6947-6995; doi:10.3390/s150306947

The Application of Biomedical Engineering Techniques to the Diagnosis and Management of Tropical Diseases: A Review

1,2,†,* , 1,2,3,†
,
1,2,4,†
and
5
1
Department of Biomedical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia
2
Centre for Innovation in Medical Engineering (CIME), Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia
3
Faculty of Science, Technology, Engineering and Mathematics, INTI International University, 71800 Nilai, Negeri Sembilan, Malaysia
4
Faculty-Electronics Engineering, Ruwais College, Higher Colleges of Technology, Ruwais, P.O Box 12389, UAE
5
Department of Biomedical Engineering, Michigan Technological University, Houghton, MI 49931, USA
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editor: W. Rudolf Seitz
Received: 7 August 2014 / Revised: 5 December 2014 / Accepted: 7 January 2015 / Published: 23 March 2015
(This article belongs to the Section Biosensors)
View Full-Text   |   Download PDF [3030 KB, uploaded 23 March 2015]   |  

Abstract

This paper reviews a number of biomedical engineering approaches to help aid in the detection and treatment of tropical diseases such as dengue, malaria, cholera, schistosomiasis, lymphatic filariasis, ebola, leprosy, leishmaniasis, and American trypanosomiasis (Chagas). Many different forms of non-invasive approaches such as ultrasound, echocardiography and electrocardiography, bioelectrical impedance, optical detection, simplified and rapid serological tests such as lab-on-chip and micro-/nano-fluidic platforms and medical support systems such as artificial intelligence clinical support systems are discussed. The paper also reviewed the novel clinical diagnosis and management systems using artificial intelligence and bioelectrical impedance techniques for dengue clinical applications. View Full-Text
Keywords: biomedical engineering; tropical diseases; micro/nano-fluidic platform; artificial intelligence; bioelectrical impedance; lab-on-chip; diagnostic; dengue biomedical engineering; tropical diseases; micro/nano-fluidic platform; artificial intelligence; bioelectrical impedance; lab-on-chip; diagnostic; dengue
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Ibrahim, F.; Thio, T.H.G.; Faisal, T.; Neuman, M. The Application of Biomedical Engineering Techniques to the Diagnosis and Management of Tropical Diseases: A Review. Sensors 2015, 15, 6947-6995.

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