GRU-based multimodal anesthesia depth assessment(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2021年第9期
- Page:
- 1148-1150
- Research Field:
- 医学信号处理与医学仪器
- Publishing date:
Info
- Title:
- GRU-based multimodal anesthesia depth assessment
- Author(s):
- GU Jiajun1; YE Jilun2; 3; CHEN Jin1; ZHU Chaofan1; CHEN Lingling1
- 1. College of Health Science and Environmental Engineering, Shenzhen Technology University, Shenzhen 518118, China 2. School of
Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen 518060, China 3. Guangdong Key Laboratory for
Biomedical Measurements and Ultrasound Imaging, Shenzhen 518060, China
- Keywords:
- gated recurrent unit multimodal depth of anesthesia
- PACS:
- R318；R614
- DOI:
- 10.3969/j.issn.1005-202X.2021.09.018
- Abstract:
- Considering that the common methods for assessing the depth of anesthesia generally have some limitations, a
gated recurrent unit (GRU) -based multimodal anesthesia depth assessment method is proposed in the study. A total of 20
cases of clinical data are collected for verification and analysis, and it is found that the value output through GRU network is
close to bispectral index value, with small difference and high correlation. The proposed method is proved to have a better
performance in assessing the depth of anesthesia.
Last Update: 2021-09-27