Medical Signal and Image Processing
Our Medical Signal and Image Processing research group develops new technologies to diagnose, monitor and treat some of our most prevalent and debilitating diseases.
We are particularly focused on creating novel computer tools to improve the diagnosis and treatment of common conditions like cardiovascular disease, stroke and sleeping disorders.
Our group’s advances are applied widely in the healthcare industry to assist in hospitals and medical research, such as through wearable technology and automated medical signal and image processing.
We are determined to enhance healthcare locally and worldwide. In order to achieve this, we aim to:
- develop algorithms that can detect features in medical data useful for diagnosing and monitoring disease
- provide tools that aid medical decision-making
- improve understanding of physiological signals’ interrelationships.
Our findings have ultimately benefitted numerous patients. This includes through such things as brain–computer interfaces for stroke rehabilitation, and algorithms used to analyse data in clinical studies.
We consult to government and industry in relation to signal-processing algorithm development for vital cardiology and sleep research.
We have expertise across a wide range of areas. Many of our researchers are available to assist with research project supervision for Master of Philosophy and Doctor of Philosophy students.
Research team Expertise Associate Professor Mathias Baumert Biomedical signal processing; Bioelectric signals; Translational research Associate Professor Gustavo Carneiro
To enquire about consulting services or working with us on a research project, please contact Associate Professor Mathias Baumert.
We collaborate with universities, industry and government organisations, including:
- Comenius University in Bratislava (Slovakia)
- Dresden University of Technology (Germany)
- Harvard University, Cambridge (USA)
- Institute of Sleep Health, Flinders University
- Royal Adelaide Hospital
- Politecnico di Milano, Milan (Italy)
- Technical University of Munich (Germany)
- Women’s and Children’s Hospital, Adelaide