Unsupervised Domain Adaptation by Statistics Alignment for Deep Sleep Staging Networks

Unsupervised Domain Adaptation by Statistics Alignment for Deep Sleep Staging Networks

Deep sleep staging networks have reached top performance on large-scale datasets. However, these models perform poorer when training and testing on small sleep cohorts due to data inefficiency. Transferring well-trained models from large-scale datasets (source domain) to small sleep cohorts (target...

Full description

Bibliographic Details
Main Authors: Jiahao Fan, Hangyu Zhu, Xinyu Jiang, Long Meng, Chen Chen, Cong Fu, Huan Yu, Chenyun Dai, Wei Chen
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Unsupervised domain adaptation
deep learning
sleep staging
transfer learning
batch normalization
Online Access:https://ieeexplore.ieee.org/document/9684410/

Internet

https://ieeexplore.ieee.org/document/9684410/

Similar Items