Self-Supervised Contrastive Learning for Medical Time Series: A Systematic Review

Medical time series are sequential data collected over time that measures health-related signals, such as electroencephalography (EEG), electrocardiography (ECG), and intensive care unit (ICU) readings. Analyzing medical time series and identifying the latent patterns and trends that lead to uncover...

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Bibliographic Details

Published in:	Sensors
Main Authors:	Ziyu Liu, Azadeh Alavi, Minyi Li, Xiang Zhang
Format:	Article
Language:	English
Published:	MDPI AG 2023-04-01
Subjects:	self-supervised learning medical time series deep learning healthcare pretext tasks contrastive learning
Online Access:	https://www.mdpi.com/1424-8220/23/9/4221