A Software-Defined Sensor System Using Semantic Segmentation for Monitoring Remaining Intravenous Fluids
Accurate intravenous (IV) fluid monitoring is critical in healthcare to prevent infusion errors and ensure patient safety. Traditional monitoring methods often depend on dedicated hardware, such as weight sensors or optical systems, which can be costly, complex, and challenging to scale across diver...
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| Main Authors: | Hasik Sunwoo, Seungwoo Lee, Woojin Paik |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/25/10/3082 |
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