Infants risk developing brain injury due to severe lack of oxygen during birth. Computers can help physicians assess the condition of the infant and thus assist in prescribing treatment and intervention through machine learning. To do so, computers need to interpret aspects of cardiac and cerebral electrical signals, also called markers. The question is which markers are useful for preventing brain injury and for its diagnosis and treatment. A number of markers—both new and clinically used—were investigated in a fetal ovine model. Markers were analysed and compared, and new computer techniques for clinical use developed.
|Qualification||Doctor of Philosophy|
|Award date||19 Nov 2015|
|Place of Publication||Maastricht|
|Publication status||Published - 2015|
- brain injury
- lack of oxygen
- machine learning