SLAM – A thin-client for interoperable annotation and biomedical signal handling
Current approaches to biosignal handling in a medical environment increasingly rely on machine learning, which requires precise annotations. In multi-centric annotation scenarios, the diversity in annotation protocols leads to imprecise semantics of the annotations. This context shows the need for i...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2024-09-01
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Series: | SoftwareX |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352711024001663 |