Latest News Archive

Please select Category, Year, and then Month to display items
Previous Archive
14 December 2022 | Story André Damons | Photo André Damons
Dr Michael Pienaar, Senior Lecturer and specialist in the UFS Department of Paediatrics and Child Health being presented to the acting Chancellor by his supervisor Prof Stephen Brown.

A lecturer from the University of the Free State (UFS) says the need to improve the care of seriously ill children is a vital part of reducing preventable deaths and diseases, and this led him to investigate the use of artificial neural networks to develop models for the prediction of patient outcomes in children with severe illness. The study was done for his PhD thesis. 

This forms the basis for the PhD thesis of Dr Michael Pienaar, Senior Lecturer and specialist in the UFS Department of Paediatrics and Child Health, called, The Development and Validation of Predictive Models for Paediatric Critical Illness in Children in Central South Africa using Artificial Neural Networks. His thesis reports the development and testing of several machine learning models designed to help healthcare workers identify seriously ill children early in a range of resource-limited settings. Combining a systematic literature search and Delphi technique with clinical data from 1 032 participants, this research led to significant progress towards implementable models for community health workers in clinical practice.

Care for critically ill children is a mission and calling 

Dr Pienaar graduated with a PhD specialising in Paediatrics on Monday (12 December) during the Faculty of Health Sciences’ December graduation ceremony. It took him three years to complete this degree. His supervisor was Prof Stephen Brown, Principal Specialist and Head of the Division of Paediatric Cardiology in the Department of Paediatrics and Child Health in the Faculty of Health Sciences at the UFS. Prof Nicolaas Luwes and Dr EC George were his co-supervisors. 

“I have been working in paediatric critical care since 2019 and see the care of critically ill children as my mission and calling in life. At the outset of the project, I was interested in approaches to complex phenomena and wanted to investigate new methods for tackling these in healthcare. 

“I have been interested in technology since childhood and in collaborating with other disciplines since I joined the university in 2019. Machine learning seemed like a great fit that could incorporate these interests and yield meaningful clinical results,” explains Dr Pienaar the reason why he chose this topic for his thesis.

He hopes that, in time, this work will lead to the implementation of integrated machine learning models to improve care and clinical outcomes for children in South Africa. From a scholarship perspective, he continues, his hope is that this work draws interest to this field in clinical research and encourages a move towards incorporating these new methods, as well as skills in areas such as coding and design in the armamentarium of a new generation of clinicians.

Medicine chooses you

According to Dr Pienaar, he always had broad interests, of which medicine is one. “I am very grateful to have found my way in medicine and am humbled and privileged to be allowed to walk with children and their families on a difficult and important journey. I believe this profession will choose you and put you where you are needed if you give it time and are prepared to listen.”

He describes graduating as a complicated ending to this period of his life and the beginning of a next chapter. He was humbled by the graduation ceremony. 

“It was wonderful to graduate with undergraduates and postgraduates in my profession – I felt great pride and solidarity joining these new colleagues and specialists in taking the oath. I am certainly relieved, proud, excited, and happy. I am also very grateful to the university, my promotors, colleagues, friends, and family for supporting me through this process. I must confess, it is also slightly bittersweet, I loved working on this and do miss it, but look forward to the next exciting project. 

“I would like to thank my Head of Department, Dr (Nomakhuwa) Tabane, my supervisors, my family and friends once again. I would also like to acknowledge and thank the National Research Foundation (NRF) as well as the University of the Free State for their assistance with funding this research.”

News Archive

Eye tracker device a first in Africa
2013-07-31

 

 31 July 2013

Keeping an eye on empowerment

"If we can see what you see, we can think what you think."

Eye-tracking used to be one of those fabulous science-fiction inventions, along with Superman-like bionic ability. Could you really use the movement of your eyes to read people's minds? Or drive your car? Or transfix your enemy with a laser-beam?

Well, actually, yes, you can (apart, perhaps, from the laser beam… ). An eye tracker is not something from science fiction; it actually exists, and is widely used around the world for a number of purposes.

Simply put, an eye tracker is a device for measuring eye positions and eye movement. Its most obvious use is in marketing, to find out what people are looking at (when they see an advertisement, for instance, or when they are wandering along a supermarket aisle). The eye tracker measures where people look first, what attracts their attention, and what they look at the longest. It is used extensively in developed countries to predict consumer behaviour, based on what – literally – catches the eye.

On a more serious level, psychologists, therapists and educators can also use this device for a number of applications, such as analysis and education. And – most excitingly – eye tracking can be used by disabled people to use a computer and thereby operate a number of devices and machines. Impaired or disabled people can use eye tracking to get a whole new lease on life.

In South Africa and other developing countries, however, eye tracking is not widely used. Even though off-the-shelf webcams and open-source software can be obtained extremely cheaply, they are complex to use and the quality cannot be guaranteed. Specialist high-quality eye-tracking devices have to be imported, and they are extremely expensive – or rather – they used to be. Not anymore.

The Department of Computer Science and Informatics (CSI) at the University of the Free State has succeeded in developing a high-quality eye tracker at a fraction of the cost of the imported devices. Along with the hardware, the department has also developed specialised software for a number of applications. These would be useful for graphic designers, marketers, analysts, cognitive psychologists, language specialists, ophthalmologists, radiographers, occupational and speech therapists, and people with disabilities. In the not-too-distant future, even fleet owners and drivers would be able to use this technology.

"The research team at CSI has many years of eye-tracking experience," says team leader Prof Pieter Blignaut, "both with the technical aspect as well as the practical aspect. We also provide a multi-dimensional service to clients that includes the equipment, training and support. We even provide feedback to users.

"We have a basic desktop model available that can be used for research, and can be adapted so that people can interact with a computer. It will be possible in future to design a device that would be able to operate a wheelchair. We are working on a model incorporated into a pair of glasses which will provide gaze analysis for people in their natural surroundings, for instance when driving a vehicle.

"Up till now, the imported models have been too expensive," he continues. "But with our system, the technology is now within reach for anyone who needs it. This could lead to economic expansion and job creation."

The University of the Free State is the first manufacturer of eye-tracking devices in Africa, and Blignaut hopes that the project will contribute to nation-building and empowerment.

"The biggest advantage is that we now have a local manufacturer providing a quality product with local training and support."

In an eye-tracking device, a tiny infra-red light shines on the eye and causes a reflection which is picked up by a high-resolution camera. Every eye movement causes a change in the reflection, which is then mapped. Infra-red light is not harmful to the eye and is not even noticed. Eye movement is then completely natural.

Based on eye movements, a researcher can study cognitive patterns, driver behaviour, attention spans, even thinking patterns. A disabled person could use their eye-movements to interact with a computer, with future technology (still in development) that would enable that computer to control a wheelchair or operate machinery.

The UFS recently initiated the foundation of an eye-tracking interest group for South Africa (ETSA) and sponsor a biennial-eye tracking conference. Their website can be found at www.eyetrackingsa.co.za.

“Eye tracking is an amazing tool for empowerment and development in Africa, “ says Blignaut, “but it is not used as much as it should be, because it is seen as too expensive. We are trying to bring this technology within the reach of anyone and everyone who needs it.”

Issued by: Lacea Loader
Director: Strategic Communication

Telephone: +27 (0) 51 401 2584
Cell: +27 (0) 83 645 2454
E-mail: news@ufs.ac.za
Fax: +27 (0) 51 444 6393

We use cookies to make interactions with our websites and services easy and meaningful. To better understand how they are used, read more about the UFS cookie policy. By continuing to use this site you are giving us your consent to do this.

Accept