Comparison of deep transfer learning algorithms and transferability measures for wearable sleep staging

Comparison of deep transfer learning algorithms and transferability measures for wearable sleep staging

Abstract Background Obtaining medical data using wearable sensors is a potential replacement for in-hospital monitoring, but the lack of data for such sensors poses a challenge for development. One solution is using in-hospital recordings to boost performance via transfer learning. While there are m...

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Bibliographic Details
Main Authors: Samuel H. Waters, Gari D. Clifford
Format: Article
Language:English
Published: BMC 2022-09-01
Series:BioMedical Engineering OnLine
Subjects:
Transfer learning
Machine learning
Domain adaptation
Sleep staging
Wearable medical devices
EEG
Online Access:https://doi.org/10.1186/s12938-022-01033-3

Internet

https://doi.org/10.1186/s12938-022-01033-3

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