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Applications of advanced signal processing and machine learning in the neonatal hypoxic-ischemic electroencephalography

Hamid Abbasi Charles P. Unsworth

中国神经再生研究（英文版）2020，Vol.15Issue(2)：222-231,10.

中国神经再生研究（英文版）2020，Vol.15Issue(2)：222-231,10.DOI:10.4103/1673-5374.265542

Applications of advanced signal processing and machine learning in the neonatal hypoxic-ischemic electroencephalography

Hamid Abbasi ¹Charles P. Unsworth¹

作者信息

1. Department of Engineering Science, The University of Auckland, Auckland, New Zealand
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摘要

关键词

advanced signal processing/aEEG/automatic detection/classification/clinical/EEG/fetal/HIE/hypoxic-ischemic encephalopathy/machine learning/neonatal seizure/real-time identification/review

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Hamid Abbasi,Charles P. Unsworth..Applications of advanced signal processing and machine learning in the neonatal hypoxic-ischemic electroencephalography[J].中国神经再生研究（英文版）,2020,15(2):222-231,10.

基金项目

This work was supported by the Auckland Medical Research Foundation, No. 1117017 (to CPU). （to CPU）

中国神经再生研究（英文版）

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ISSN：1673-5374

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