Dialysis machine alarm recognition based on convolutional neural network
Abstract Background Hemodialysis, a renal replacement treatment for end-stage renal failure, relies heavily on the proper functioning of the dialysis machine. Timely detection and handling of dialysis machine alarms are important to ensure the safety of dialysis treatment. Method This study proposes...
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| Main Authors: | Huile Xie, Xiongjie Deng, Bin Dong, Liting Chen, Mingyang Song, Zidong Ying, Zhaoxin Fan, Xukai Wang, Liang Peng |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-06-01
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| Series: | Renal Replacement Therapy |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s41100-025-00632-9 |
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