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Novel Estimators for the Number of Susceptible Individuals in SIR Models of Infectious Epidemics
Michaël Antonie Van Wyk;André Martin McDonald;David M. Rubin;Fangfang Zhang
2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
Year: 2024 | Conference Paper |
Accurate estimation of model parameters early in infectious epidemics may improve planning and resource allocation in mitigating the adverse consequences on affected populations. By applying the Peano-Baker series formula and the Cauchy repeated integral formula, we present the development of three novel estimators which facilitate the estimation of the number of susceptible people as a function o...Show More
Shape tracing app for movement disorder detection
Vered Aharonson;Sarah Ward;David Anderson;David M. Rubin;Michiel Postema
2020 International SAUPEC/RobMech/PRASA Conference
Year: 2020 | Conference Paper |
Shape tracing tests for the detection and assessment of hand movement disorders are predominantly performed manually in the presence of a clinician. These procedures are therefore labour intensive, expensive, and subjective. Digital tests have been proposed to automate this assessment process, to answer the need of affordable healthcare for all. A straightforward automation solution is a conversio...Show More
Toward the Design of a Low Cost, Adaptive Hearing Aid
2019 IEEE AFRICON
Year: 2019 | Conference Paper |
This paper presents a feasibility study into the design of a low-cost adaptive hearing aid. This study is presented in the form of a software simulation and a hardware proof of concept. The designed hearing aid is able to apply compensatory amplification based on an audiogram, and has a user steerable direction of focus. The features in the software and hardware solutions were tested and the resul...Show More
Voice quality enhancement for vocal tract rehabilitation
2018 3rd Biennial South African Biomedical Engineering Conference (SAIBMEC)
Year: 2018 | Conference Paper |
Vocal rehabilitation devices used by patients after Laryngectomy produce an unnatural sounding speech. Our study aims at increasing the quality of these synthetically generated voices by implementing human-like characteristics. A simplified source filter model, linear predictive coding coefficients and line spectral frequencies were used to model the vocal tract and manipulate the acoustic feature...Show More
Modelling dynamic response of physical systems in Simulink
2018 3rd Biennial South African Biomedical Engineering Conference (SAIBMEC)
Year: 2018 | Conference Paper |
Cited by: Papers (1)
The value of implementing mathematical models in Simulink is demonstrated through an overview of the challenges involved when determining the dynamic response of non-linear systems. This overview is demonstrated by using an example of the baroreceptor nerve (and its response to blood pressure changes) as a non-linear system which can be modelled and simulated in Simulink. The simulated results ind...Show More
Use of dielectric properties of human tissues in the analysis of lightning injuries
2014 International Conference on Lightning Protection (ICLP)
Year: 2014 | Conference Paper |
Cited by: Papers (1)
This paper focuses on the use of dielectric properties of human tissues in analysing injuries as a result of the lighting short stroke current. The lightning short stroke current is decomposed into its frequency components and the effects of these frequency components on human tissues are analysed. The dielectric properties of nineteen types of human body tissues are examined and the correlations ...Show More
A Population-Based Incremental Learning approach to microarray gene expression feature selection
Meir Perez;David M Rubin;Tshilidzi Marwala;Lesley E Scott;Wendy Stevens
2010 IEEE 26-th Convention of Electrical and Electronics Engineers in Israel
Year: 2010 | Conference Paper |
Cited by: Papers (6)
The identification of a differentially expressed set of genes in microarray data analysis is essential, both for novel onco-genic pathway identification, as well as for automated diagnostic purposes. This paper assesses the effectiveness of the Population-Based Incremental Learning (PBIL) algorithm in identifying a class differentiating gene set for sample classification. PBIL is based on iterativ...Show More
Differentially Expressed Gene Identification Based on Separability Index
Meir Perez;Jonathan Featherston;David M. Rubin;Tshilidzi Marwala;Lesley E. Scott;Wendy Stevens
2009 International Conference on Machine Learning and Applications
Year: 2009 | Conference Paper |
Cited by: Papers (2)
The identification of differentially expressed genes is central to microarray data analysis. Presented in this paper is an approach to differentially expressed gene identification based on a Separability Index (SI). Features are selected by identifying the optimal number of top ranking genes which result in maximum class separability. The approach was implemented on a training dataset comprising 4...Show More
A voting and predictive Neural Network system for use in a new artificial Larynx
2009 International Conference on Biomedical and Pharmaceutical Engineering
Year: 2009 | Conference Paper |
A new artificial Larynx is currently under development at the University of the Witwatersrand, Johannesburg. This device uses dynamic tongue movement from a palatometer system to infer what the user is trying to say. Feature selection algorithms extract information from the palatometer data and are then used as input to a Multi-Layer Perceptron Neural Network. This paper deals with improving the s...Show More
Simulation of retinal function A fuzzy-linear approach
Meir Perez;Robert O. Davidson;David M. Rubin;Tshilidzi Marwala
2008 IEEE International Conference on Systems, Man and Cybernetics
Year: 2008 | Conference Paper |
The design, simulation and evaluation of a retinal model is presented. The model comprises a fuzzy inference system, modelling macro retinal function, hybridized with a simplified version of an existing linear spacio-temporal filter, modelling micro retinal function. Macro retinal function is simulated using a test image and qualitatively validated against physiological theory. The model could be ...Show More
A Hybrid Fuzzy-SVM classifier, applied to gene expression profiling for automated leukaemia diagnosis
Meir Perez;David M Rubin;Lesley E Scott;Tshilidzi Marwala;Wendy Stevens
2008 IEEE 25th Convention of Electrical and Electronics Engineers in Israel
Year: 2008 | Conference Paper |
Cited by: Papers (7)
A hybrid fuzzy-SVM classifier, used to automate leukaemia diagnosis based on microarray gene expression data, is presented. A publicly available dataset was used to develop and test the classifier. A fuzzy gene filter was developed to select the genes which show significant class variation between various leukaemia types. The results obtained from using all the genes for classification is compared...Show More
High-transparency coded apertures in planar nuclear medicine imaging: Experimental results
David M. Starfield;David M. Rubin;Tshilidzi Marwala;Rex J. Keddy
2007 IEEE Nuclear Science Symposium Conference Record
Year: 2007 | Conference Paper |
Coded apertures provide an alternative to collimators in gamma-ray imaging. Advances in the field of coded apertures have lessened the artifacts that are associated with the near-field geometry of nuclear medicine. Nevertheless, image resolution and the manufacturing techniques that are available are constrained by the thickness of the aperture material. Thickness artifacts result. Thin apertures ...Show More
Incremental Learning for Classification of Protein Sequences
2007 International Joint Conference on Neural Networks
Year: 2007 | Conference Paper |
Cited by: Papers (6)
The problem of protein structural family classification remains a core problem in computational biology, with application of this technology applicable to problems in drug discovery programs and hypothetical protein annotation. Many machine learning tools have been applied to this problem using static machine learning structures such as neural networks or support vector machines that are unable to...Show More
High Transparency Coded Apertures in Planar Nuclear Medicine Imaging
2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Year: 2007 | Conference Paper |
Cited by: Papers (5)
Coded apertures provide an alternative to the collimators of nuclear medicine imaging, and advances in the field have lessened the artifacts that are associated with the near-field geometry. Thickness of the aperture material, however, results in a decoded image with thickness artifacts, and constrains both image resolution and the available manufacturing techniques. Thus in theory, thin apertures...Show More
Multi-class Protein Sequence Classification Using Fuzzy ARTMAP
2006 IEEE International Conference on Systems, Man and Cybernetics
Year: 2006 | Conference Paper |
Cited by: Papers (17)
The classification of protein sequences into families is an important tool in the annotation of structural and functional properties to newly discovered proteins. We present a classification system using pattern recognition techniques to create a numerical vector representation of a protein sequence and then classify the sequence into a number of given families. We introduce the use of fuzzy ARTMA...Show More
Detection of epileptiform activity in human EEG signals using Bayesian neural networks
IEEE 3rd International Conference on Computational Cybernetics, 2005. ICCC 2005.
Year: 2005 | Conference Paper |
Cited by: Papers (6)
In this paper, we investigate the application of neural networks to the problem of detecting inter-ictal epileptiform activity in the electroencephalogram (EEG). The proposed detector consists of a segmentation, feature extraction and classification stage. For the feature extraction stage, coefficients of the discrete wavelet transform (DWT), real and imaginary parts of the fast Fourier transform ...Show More
Optimising the verification of patient positioning in proton beam therapy
IEEE 3rd International Conference on Computational Cybernetics, 2005. ICCC 2005.
Year: 2005 | Conference Paper |
Cited by: Papers (5)
A new patient positioning system incorporating a robotic arm is currently being designed for proton beam therapy. This requires aligning a treatment image with a pre-defined reference image. This is achieved by the alignment of the radiation and reference field boundaries, followed by registering the patient's anatomy relative to the boundary. This paper compares and tests methods for both field b...Show More
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