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

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.

[1]  Benjamin K. Wilson,et al.  Detection of malarial byproduct hemozoin utilizing its unique scattering properties. , 2011, Optics express.

[2]  Hiroyuki Kishi,et al.  A rapid and efficient single-cell manipulation method for screening antigen-specific antibody–secreting cells from human peripheral blood , 2009, Nature Medicine.

[3]  Yikun Li,et al.  Estimating Malaria Parasitaemia from Blood Smear Images , 2006, 2006 9th International Conference on Control, Automation, Robotics and Vision.

[4]  C. Wongsrichanalai,et al.  Rapid diagnostic techniques for malaria control. , 2001, Trends in parasitology.

[5]  María Soledad Belluzo,et al.  Favorably orienting recombinant proteins to develop amperometric biosensors to diagnose Chagas' disease. , 2011, Analytical biochemistry.

[6]  Wan Abu Bakar Wan Abas,et al.  A new approach to classify risk in dengue infection using bioelectrical impedance analysis , 2007 .

[7]  D W Wilmore,et al.  Identifying body fluid distribution by measuring electrical impedance. , 1992, The Journal of trauma.

[8]  W J Hannan,et al.  Proximal and distal measurements of extracellular and total body water by multi-frequency bio-impedance analysis in surgical patients. , 1998, Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine.

[9]  N. Ismail,et al.  Modeling of hemoglobin in dengue fever and dengue hemorrhagic fever using bioelectrical impedance. , 2004, Physiological measurement.

[10]  Richard P. Brent,et al.  Fast training algorithms for multilayer neural nets , 1991, IEEE Trans. Neural Networks.

[11]  E. Ooi,et al.  A label-free immunosensor for diagnosis of dengue infection with simple electrical measurements , 2009, 2009 IEEE Sensors.

[12]  Diana J L Williams,et al.  The Continuing Challenges of Leprosy , 2006, Clinical Microbiology Reviews.

[13]  D. Freedman,et al.  Lymphoscintigraphic analysis of lymphatic abnormalities in symptomatic and asymptomatic human filariasis. , 1994, The Journal of infectious diseases.

[14]  Panagiotis Mitropoulos,et al.  New World cutaneous leishmaniasis: updated review of current and future diagnosis and treatment. , 2010, Journal of the American Academy of Dermatology.

[15]  A Olavi,et al.  Edema and lower leg perfusion in patients with post-traumatic dysfunction. , 1991, Acupuncture & electro-therapeutics research.

[16]  A. Nisalak,et al.  Natural History of Plasma Leakage in Dengue Hemorrhagic Fever: A Serial Ultrasonographic Study , 2007, The Pediatric infectious disease journal.

[17]  Fatimah Ibrahim,et al.  Lab-on-a-disk as a potential microfluidic platform for dengue NS1-ELISA , 2009, 2009 IEEE Symposium on Industrial Electronics & Applications.

[18]  Abbashar Hussein,et al.  Frequency of neurological deficits in Sudanese lepromatic patients , 2010, Journal of the Neurological Sciences.

[19]  T.,et al.  Training Feedforward Networks with the Marquardt Algorithm , 2004 .

[20]  N. Wig,et al.  Cardiac involvement in Dengue Haemorrhagic Fever. , 1998, International journal of cardiology.

[21]  F Wattel,et al.  Skeletal muscle microvascular blood flow and oxygen transport in patients with severe sepsis. , 1996, American journal of respiratory and critical care medicine.

[22]  C. Cametti,et al.  Electrical conductivity of human erythrocytes infected with Plasmodium falciparum and its modification following quinine therapy. , 1990, Transactions of the Royal Society of Tropical Medicine and Hygiene.

[23]  Jyh-Shing Roger Jang,et al.  ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..

[24]  Monica Cheesbrough,et al.  District Laboratory Practice in Tropical Countries: Acknowledgements , 2005 .

[25]  M. Gramiccia,et al.  The current status of zoonotic leishmaniases and approaches to disease control. , 2005, International journal for parasitology.

[26]  H. S. Wolff,et al.  iRun: Horizontal and Vertical Shape of a Region-Based Graph Compression , 2022, Sensors.

[27]  Frederick F Becker,et al.  Microsample preparation by dielectrophoresis: isolation of malaria. , 2002, Lab on a chip.

[28]  M. Kawabata,et al.  A rapid, simple and sensitive flow cytometric system for detection of Plasmodium falciparum. , 2001, Parasitology international.

[29]  Bo Mattiasson,et al.  A capacitive immunosensor for detection of cholera toxin. , 2009, Analytica chimica acta.

[30]  Andrew G. Dempster,et al.  Morphological Image Processing for Evaluating Malaria Disease , 2001, IWVF.

[31]  René Westhovens,et al.  Prediction of dose escalation for rheumatoid arthritis patients under infliximab treatment , 2006, Eng. Appl. Artif. Intell..

[32]  Rozana Mesquita Ciconelli,et al.  Avaliação por Imagem do Comprometimento Osteoarticular e de Nervos Periféricos na Hanseníase Imaging Methods Evaluation in Osteoarticular and Peripheral Nerves Involvement in Leprosy , 2006 .

[33]  Andrew G. Dempster,et al.  Analysis of infected blood cell images using morphological operators , 2002, Image Vis. Comput..

[34]  Mark J Hancock,et al.  Pilates for low back pain. , 2015, The Cochrane database of systematic reviews.

[35]  H. A. Pohl.  The Motion and Precipitation of Suspensoids in Divergent Electric Fields , 1951 .

[36]  G. Chertow,et al.  Multifrequency bioelectrical impedance estimates the distribution of body water. , 1995, Journal of applied physiology.

[37]  A. Baeumner,et al.  Cholera toxin subunit B detection in microfluidic devices , 2009, Analytical and bioanalytical chemistry.

[38]  Da-Jeng Yao,et al.  Molecular-Level Dengue Fever Diagnostics: Developing a Combination of RT-LAMP and Paper-Based Devices , 2012, IEEE Nanotechnology Magazine.

[39]  S. Jota,et al.  Pericardial effusion in dengue haemorrhagic fever. , 2018, Paediatrica Indonesiana.

[40]  A. Moody.  Rapid Diagnostic Tests for Malaria Parasites , 2002, Clinical Microbiology Reviews.

[41]  Achim Hoerauf,et al.  Reliable and frequent detection of adult Wuchereria bancrofti in Ghanaian women by ultrasonography , 2004, Tropical medicine & international health : TM & IH.

[42]  M. Jiménez-Díaz,et al.  Improvement of detection specificity of Plasmodium‐infected murine erythrocytes by flow cytometry using autofluorescence and YOYO‐1 , 2005, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[43]  Yasuo Shinohara,et al.  Rapid and Highly Sensitive Detection of Malaria-Infected Erythrocytes Using a Cell Microarray Chip , 2010, PloS one.

[44]  Rafael M. Maki,et al.  Biosensors for efficient diagnosis of leishmaniasis: innovations in bioanalytics for a neglected disease. , 2010, Analytical chemistry.

[45]  H. A. Pohl,et al.  Separation of Living and Dead Cells by Dielectrophoresis , 1966, Science.

[46]  M. Mazariegos,et al.  Bioelectrical Impedance Spectroscopy in Health and Disease: Correspondence between Whole Body and Segmental Bioelectrical Impedance Spectroscopy Indices in Patients with Classical Dengue Fever , 2000, Annals of the New York Academy of Sciences.

[47]  D. Gill,et al.  Bacterial toxins: a table of lethal amounts , 1982, Microbiological reviews.

[48]  Fatimah Ibrahim,et al.  Reexamination of risk criteria in dengue patients using the self-organizing map , 2010, Medical & Biological Engineering & Computing.

[49]  Vinu Thomas,et al.  A novel method of detecting malaria using microwaves , 2009 .

[50]  M E Valentinuzzi,et al.  Bioelectrical impedance techniques in medicine. Part I: Bioimpedance measurement. First section: general concepts. , 1996, Critical reviews in biomedical engineering.

[51]  S. Ong,et al.  MalariaCount: an image analysis-based program for the accurate determination of parasitemia. , 2007, Journal of microbiological methods.

[52]  M. Tanner,et al.  First generation leishmaniasis vaccines: a review of field efficacy trials. , 2008, Vaccine.

[53]  Fatimah Ibrahim,et al.  A noninvasive intelligent approach for predicting the risk in dengue patients , 2010, Expert Syst. Appl..

[54]  Michael F Marmor,et al.  The ophthalmic trials of G. H. A. Hansen. , 2002, Survey of ophthalmology.

[55]  H. Ginsburg,et al.  Optimisation of flow cytometric measurement of parasitaemia in plasmodium-infected mice. , 2000, International journal for parasitology.

[56]  G Dreyer,et al.  Direct assessment of the adulticidal efficacy of a single dose of ivermectin in bancroftian filariasis. , 1995, Transactions of the Royal Society of Tropical Medicine and Hygiene.

[57]  C. Antunes,et al.  Imaging techniques in the evaluation of morbidity in schistosomiasis mansoni. , 2008, Acta tropica.

[58]  J. H. Meijer,et al.  A segmental multi frequency conductivity technique to measure dynamic body fluid changes , 1994 .

[59]  J. Barnwell,et al.  Ensuring quality and access for malaria diagnosis: how can it be achieved? , 2006, Nature Reviews Microbiology.

[60]  J P Morucci,et al.  Bioelectrical impedance techniques in medicine. Part I: Bioimpedance measurement. Second section: impedance spectrometry. , 1996, Critical reviews in biomedical engineering.

[61]  Luiz Ricardo Goulart,et al.  Leprosy: diagnostic and control challenges for a worldwide disease , 2008, Archives of Dermatological Research.

[62]  Marc Madou,et al.  Lab on a CD. , 2006, Annual review of biomedical engineering.

[63]  Melani W. Setiawan,et al.  Dengue haemorrhagic fever: ultrasound as an aid to predict the severity of the disease , 1998, Pediatric Radiology.

[64]  J Rosell,et al.  A multifrequency multichannel electrical impedance data acquisition system for body fluid shift monitoring. , 1995, Physiological measurement.

[65]  G. Nabel,et al.  Vaccine for AIDS and Ebola virus infection. , 2003, Virus research.

[66]  J. Iqbal,et al.  Performance of rapid malaria Pf antigen test for the diagnosis of malaria and false-reactivity with autoantibodies. , 2003, Advances in experimental medicine and biology.

[67]  Yoon‐Kyoung Cho,et al.  A fully automated immunoassay from whole blood on a disc. , 2009, Lab on a chip.

[68]  A. Ferreira,et al.  Impedimetric evaluation for diagnosis of Chagas' disease: antigen-antibody interactions on metallic electrodes. , 2003, Biosensors & bioelectronics.

[69]  Alan L Rothman,et al.  Assessment of body fluid compartment volumes by multifrequency bioelectrical impedance spectroscopy in children with dengue. , 2002, Transactions of the Royal Society of Tropical Medicine and Hygiene.

[70]  G. Whitesides,et al.  Patterned paper as a platform for inexpensive, low-volume, portable bioassays. , 2007, Angewandte Chemie.

[71]  Andrew G. Dempster,et al.  Malaria Parasite Detection in Peripheral Blood Images , 2006, BMVC.

[72]  W. Ho,et al.  The imaging diagnosis of hepatic schistosomiasis japonicum sequelae. , 1996, Clinical radiology.

[73]  G. Bedogni,et al.  Assessment of body hydration in subjects with schistosomiasis. , 1997, Annals of human biology.

[74]  R F McCloy,et al.  Using Kohonen self organising feature maps for the analysis of ambulatory oesophageal manometry , 2005 .

[75]  Alberto Tesi,et al.  On the Problem of Local Minima in Backpropagation , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[76]  Fatimah Ibrahim,et al.  Adaptive Neuro-Fuzzy Inference System for diagnosis risk in dengue patients , 2012, Expert Syst. Appl..

[77]  F. Ibrahim,et al.  Prognosis of Dengue Fever and Dengue Haemorrhagic Fever using Bioelectrical Impedance , 2005 .

[78]  Gwo-Bin Lee,et al.  A suction-type microfluidic immunosensing chip for rapid detection of the dengue virus , 2011, Biomedical microdevices.

[79]  F. Ibrahim,et al.  Analysis of Water Compartment in Dengue Patients , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[80]  Gary J Weil,et al.  Diagnostic tools for filariasis elimination programs. , 2007, Trends in parasitology.

[81]  Tom Solomon,et al.  Clinical diagnosis and assessment of severity of confirmed dengue infections in Vietnamese children: is the world health organization classification system helpful? , 2004, The American journal of tropical medicine and hygiene.

[82]  J. McCormick,et al.  Diagnosis of Ebola haemorrhagic fever by RT‐PCR in an epidemic setting , 2000, Journal of medical virology.

[83]  A. Dempster,et al.  Automatic scanning of Malaria infected blood slide images using Mathematical Morphology , 2002 .

[84]  I. Gartside,et al.  Age-related changes in microvascular permeability: a significant factor in the susceptibility of children to shock? , 2000, Clinical science.

[85]  Jonathan J Deeks,et al.  Rapid diagnostic tests for diagnosing uncomplicated P. falciparum malaria in endemic countries. , 2011, The Cochrane database of systematic reviews.

[86]  M. S. Belluzo,et al.  Amperometric bioelectrode for specific human immunoglobulin G determination: optimization of the method to diagnose American trypanosomiasis. , 2006, Analytical biochemistry.

[87]  Majid Sarrafzadeh,et al.  A Light-weight Solution for Real-Time Dengue Detection using Mobile Phones , 2009 .

[88]  Vivian West,et al.  Model selection for a medical diagnostic decision support system: a breast cancer detection case , 2000, Artif. Intell. Medicine.

[89]  Jarkko Venna,et al.  Analysis and visualization of gene expression data using Self-Organizing Maps , 2002, Neural Networks.

[90]  Fatimah Ibrahim,et al.  A novel dengue fever (DF) and dengue haemorrhagic fever (DHF) analysis using artificial neural network (ANN) , 2005, Comput. Methods Programs Biomed..

[91]  Andrew Davidson,et al.  Tropical Diseases: A Manual of the Diseases of Warm Climates , 1900, Edinburgh Medical Journal.

[92]  Noor Azina Ismail,et al.  Clinicians' diagnostic practice of dengue infections. , 2007, Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology.

[93]  Wan Abu Bakar Wan Abas,et al.  Cutaneous microcirculatory flowmetry evaluated by laser doppler technique in dengue hemorrhage fever patients , 2003, Asian Conference on Sensors, 2003. AsiaSense 2003..

[94]  Hiroshi Ohmae,et al.  Imaging diagnosis of schistosomiasis japonica--the use in Japan and application for field study in the present endemic area. , 2003, Parasitology international.

[95]  Kongara Nrmr.  Application of mathematical morphology to biomedical image processing. , 2003 .

[96]  J. Carter,et al.  Comparison of five methods of malaria detection in the outpatient setting. , 1999, The American journal of tropical medicine and hygiene.

[97]  Ali Khademhosseini,et al.  Nano/Microfluidics for diagnosis of infectious diseases in developing countries. , 2010, Advanced drug delivery reviews.

[98]  Esa Alhoniemi,et al.  Self-organizing map in Matlab: the SOM Toolbox , 1999 .

[99]  P. Deurenberg,et al.  Hydrational Status Assessed by Bioelectrical Impedance Spectroscopy and Dilution Methods in Patients with Classical Dengue Fever , 2000, Annals of the New York Academy of Sciences.

[100]  David A. Sack,et al.  Antimicrobial resistance in shigellosis, cholera and campylobacteriosis , 2001 .

[101]  Fatimah Ibrahim,et al.  A novel approach to classify risk in dengue hemorrhagic fever (DHF) using bioelectrical impedance analysis (BIA) , 2005, IEEE Transactions on Instrumentation and Measurement.

[102]  S. Cosnier,et al.  Development of a highly sensitive, field operable biosensor for serological studies of Ebola virus in central Africa , 2006, Sensors and Actuators B: Chemical.

[103]  Fatimah Ibrahim,et al.  Analysis and experiment of centrifugal force for microfluidic ELISA CD platform , 2010, 2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES).

[104]  Marzia Sultana,et al.  Diagnostic Limitations to Accurate Diagnosis of Cholera , 2010, Journal of Clinical Microbiology.

[105]  Charles B. Delahunt,et al.  A paper microfluidic cartridge for automated staining of malaria parasites with an optically transparent microscopy window. , 2014, Lab on a chip.

[106]  P M Venkata Sai,et al.  Role of ultrasound in dengue fever. , 2005, The British journal of radiology.

[107]  Mohd Nasir Taib,et al.  Analysis of significant factors for dengue infection prognosis using the self organizing map , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[108]  A. Kroeger,et al.  Classifying dengue: a review of the difficulties in using the WHO case classification for dengue haemorrhagic fever , 2006, Tropical medicine & international health : TM & IH.

[109]  E G Salerud,et al.  Assessment of human muscle blood perfusion with single-fiber laser Doppler flowmetry. , 1990, Microvascular research.

[110]  F. Lescure,et al.  Chagas disease: changes in knowledge and management. , 2010, The Lancet. Infectious diseases.

[111]  Fatimah Ibrahim,et al.  Theoretical development and critical analysis of burst frequency equations for passive valves on centrifugal microfluidic platforms , 2012, Medical & Biological Engineering & Computing.

[112]  G. Weil,et al.  The ICT Filariasis Test: A rapid-format antigen test for diagnosis of bancroftian filariasis. , 1997, Parasitology today.

[113]  Gwo-Bin Lee,et al.  An integrated microfluidic system for rapid diagnosis of dengue virus infection , 2009, Biosensors and Bioelectronics.

[114]  Fatimah Ibrahim,et al.  Non-invasive diagnosis of risk in dengue patients using bioelectrical impedance analysis and artificial neural network , 2010, Medical & Biological Engineering & Computing.

[115]  Marc J. Madou,et al.  Centrifuge-based fluidic platforms , 2004, Proceedings of the IEEE.

[116]  David M. Rubin,et al.  Automated image processing method for the diagnosis and classification of malaria on thin blood smears , 2006, Medical and Biological Engineering and Computing.

[117]  David P. Martin,et al.  Categorization and Analysis of Pain and Activity in Patients with Low Back Pain Using a Neural Network Technique , 2002, Journal of Medical Systems.

[118]  Anne-Laure Page,et al.  Evaluation of a Rapid Test for the Diagnosis of Cholera in the Absence of a Gold Standard , 2012, PloS one.

[119]  I. Gartside,et al.  Noninvasive measurement of microvascular leakage in patients with dengue hemorrhagic fever. , 2001, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.