Automatic detection of intraoperative neurological injury.
basic_science · Level V
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- Record sourced from PubMed, PMID 10217886.
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Abstract
Neurological injuries occurring during high-risk surgical procedures can be detected by monitoring intraoperative evoked potential signals. In this communication, an automatic injury detection algorithm is proposed in which the EP signal is modeled as a pole-zero filter and then the model parameters are applied as inputs to a classifier type neural network. A recognition rate of 96% is achieved using an experimental model of brain injury.
Medical subject headings
- Brain Injuries
- Evoked Potentials, Somatosensory
- Monitoring, Intraoperative