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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Detalles Bibliográficos
Autores principales: Liu, Ziyu, Alavi, Azadeh, Li, Minyi, Zhang, Xiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Systematic Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181273/
https://www.ncbi.nlm.nih.gov/pubmed/37177423
http://dx.doi.org/10.3390/s23094221

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181273/
https://www.ncbi.nlm.nih.gov/pubmed/37177423
http://dx.doi.org/10.3390/s23094221

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