Multimodal predictor of neurodevelopmental outcome in newborns with hypoxic-ischaemic encephalopathy
We investigate the means to assist a clinician in prediction of neurodevelopmental outcome in newborns. We combine information from three different modalities  clinical, EEG and ECG. We identify a set of consistently informative features. Automated analysis of multimodal data complements clinical prediction.
multimodal neurodevelopmental outcome eeg ecg neonatal decision support system