Can pre-trained convolutional neural networks be directly used as a feature extractor for video-based neonatal sleep and wake classification?

被引：0
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作者：
Muhammad Awais
Xi Long
Bin Yin
Chen Chen
Saeed Akbarzadeh
Saadullah Farooq Abbasi
Muhammad Irfan
Chunmei Lu
Xinhua Wang
Laishuan Wang
Wei Chen
机构：
[1] Fudan University,Center for Intelligent Medical Electronics, Department of Electronic Engineering, School of Information Science and Technology
[2] Eindhoven University of Technology,Department of Electrical Engineering
[3] Philips Research,Connected Care and Personal Health Department
[4] Children’s Hospital of Fudan University,Department of Neonatology
[5] Children’s Hospital of Fudan University,Department of Neurology
[6] China,Department of Family Care Solutions
[7] and Human Phenome Institute Fudan University,undefined
[8] Philips Research,undefined
来源：
BMC Research Notes | / 13卷
关键词：
Convolutional neural networks (CNNs); Video electroencephalogram (VEEG); Neonatal sleep; Sleep and wake classification; Feature extraction;
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