Grading brain injury in neonatal EEG using SVM and supervector kernel

Hypoxic-ischemic HI injury at the time of birth could lead to severe neurological dysfunction at an older age. Therapeutic hypothermia can be used to treat HI if severity of injury is determined within 6 hours of birth. EEG is generally used to assess the brain injury but it is neither widely recorded after birth nor is the expertise to interpret it commonly available. This study presents a novel system to classify HI injury using heart rate variability. The system makes decisions based on long-term statistical features extracted from the short-term HRV features. The preliminary results show the promising performance and robustness of the proposed method given a poor quality dataset. This tool can serve as decision support system in remote maternity units to help clinical staff to initiate hypothermia.

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Grading brain injury in neonatal EEG using SVM and supervector kernel

Cited by 3 publications

References 17 publications

Grading hypoxic–ischemic encephalopathy severity in neonatal EEG using GMM supervectors and the support vector machine

Grading hypoxic–ischemic encephalopathy severity in neonatal EEG using GMM supervectors and the support vector machine

Multimodal predictor of neurodevelopmental outcome in newborns with hypoxic-ischaemic encephalopathy

Classification of hypoxic-ischemic encephalopathy using long term heart rate variability based features

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