Signal processing applications in clinical newborn medicine to improve health outcomes

Colditz, Paul B. (2010). Signal processing applications in clinical newborn medicine to improve health outcomes. In: 10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010. 10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010, Kuala Lumpur, Malaysia, (819-823). 10 - 13 May 2010. doi:10.1109/ISSPA.2010.5605406


Author Colditz, Paul B.
Title of paper Signal processing applications in clinical newborn medicine to improve health outcomes
Conference name 10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010
Conference location Kuala Lumpur, Malaysia
Conference dates 10 - 13 May 2010
Proceedings title 10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010
Journal name 10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010
Place of Publication Piscataway, NJ United States
Publisher I E E E
Publication Year 2010
Year available 2010
Sub-type Fully published paper
DOI 10.1109/ISSPA.2010.5605406
Open Access Status
ISBN 9781424471676
1424471672
9781424471652
1424471656
Start page 819
End page 823
Total pages 5
Collection year 2011
Language eng
Abstract/Summary Signal processing offers real opportunities to improve diagnosis and management of clinical medical conditions. The gap between basic science research and how this knowledge can be used to impact on clinical medical outcomes through the translational research process is receiving international focus. Signal processing has already impacted in the translational research setting and I discuss several clinical problems in my own area of specialization where signal processing applications have had a positive impact. Sick babies are at risk of brain injury and require accurate diagnosis, monitoring and prognostication. The electroencephalogram (EEG) provides continuous physiological functional data and I describe an approach to automated analysis of abnormalities. Unexpected death in utero in late pregnancy is another significant clinical problem. We have developed an accelerometer based system with automated analysis that holds potential to reduce fetal death (stillbirth). Applications and opportunities for signal processing to improve health outcomes are presented and the desirable features of successful multi-disciplinary research teams are outlined and discussed.
Subjects 1706 Computer Science Applications
1710 Information Systems
1711 Signal Processing
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Conference Paper
Collection: School of Medicine Publications
 
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