Performance assessment for EEG-based neonatal seizure detectors

@article{Temko2011PerformanceAF,
  title={Performance assessment for EEG-based neonatal seizure detectors},
  author={A. Temko and E. Thomas and W. Marnane and G. Lightbody and G. Boylan},
  journal={Clinical Neurophysiology},
  year={2011},
  volume={122},
  pages={474 - 482}
}
Objective This study discusses an appropriate framework to measure system performance for the task of neonatal seizure detection using EEG. The framework is used to present an extended overview of a multi-channel patient-independent neonatal seizure detection system based on the Support Vector Machine (SVM) classifier. Methods The appropriate framework for performance assessment of neonatal seizure detectors is discussed in terms of metrics, experimental setups, and testing protocols. The… Expand
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