Institutional Repository of Coll Elect & Informat Engn
Prediction of Continuous Blood Pressure Using Multiple Gated Recurrent Unit Embedded in SENet | |
Chen, Xiaolei1; Chang, Hao1; Cao, Baoning1; Lu, Yubing2; Lin, Dongmei3 | |
2022-03 | |
发表期刊 | JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS |
ISSN | 1343-0130 |
卷号 | 26期号:2页码:256-263 |
摘要 | In order to accurately predict blood pressure waveform from pulse waveform, a multiple gated recurrent unit (GRU) model embedded in squeeze-and-excitation network (SENet) is proposed for continuous blood pressure prediction. Firstly, the features of the pulse are extracted from multiple GRU channels. Then, the SENet module is embedded to learn the interdependence among the channels, so as to get the weight of each channel. Finally, the weights were added to each channel and the predicted continuous blood pressure values were obtained by integrating the two linear layers. The experimental results show that the embedded SENet can effectively enhance the predictive ability of multi-GRU structure and obtain good continuous blood pressure waveform. Compared with the LSTM and GRU model without SENet, the MSE errors of the proposed method are reduced by 29.3% and 25.0% respectively, the training time of the proposed method are decreased by 69.8% and 68.7%, the test time is reduced by 65.9% and 25.2% and it has the fewest model parameters. |
关键词 | gated recurrent unit SENet blood pressure prediction pulse information |
DOI | 10.1155/2021/8501990,2021 |
收录类别 | ESCI ; EI |
语种 | 英语 |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Artificial Intelligence |
WOS记录号 | WOS:000773366000015 |
出版者 | FUJI TECHNOLOGY PRESS LTD |
EI入藏号 | 20221611974312 |
EI主题词 | Blood pressure |
EI分类号 | 461.2 Biological Materials and Tissue Engineering ; 461.9 Biology |
来源库 | WOS |
引用统计 | 无
|
文献类型 | 期刊论文 |
条目标识符 | https://ir.lut.edu.cn/handle/2XXMBERH/158129 |
专题 | 电气工程与信息工程学院 |
通讯作者 | Chen, Xiaolei |
作者单位 | 1.Lanzhou Univ Technol, Coll Elect & Informat Engn, 287 Langongping Rd, Lanzhou 730050, Peoples R China; 2.Lanzhou Univ Technol, Key Lab Gansu Adv Control Ind Proc, 287 Langongping Rd, Lanzhou 730050, Peoples R China; 3.Lanzhou Univ Technol, Natl Demonstrat Ctr Expt Elect & Control Engn Edu, 287 Langongping Rd, Lanzhou 730050, Peoples R China |
第一作者单位 | 电气工程与信息工程学院 |
通讯作者单位 | 电气工程与信息工程学院 |
第一作者的第一单位 | 电气工程与信息工程学院 |
推荐引用方式 GB/T 7714 | Chen, Xiaolei,Chang, Hao,Cao, Baoning,et al. Prediction of Continuous Blood Pressure Using Multiple Gated Recurrent Unit Embedded in SENet[J]. JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS,2022,26(2):256-263. |
APA | Chen, Xiaolei,Chang, Hao,Cao, Baoning,Lu, Yubing,&Lin, Dongmei.(2022).Prediction of Continuous Blood Pressure Using Multiple Gated Recurrent Unit Embedded in SENet.JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS,26(2),256-263. |
MLA | Chen, Xiaolei,et al."Prediction of Continuous Blood Pressure Using Multiple Gated Recurrent Unit Embedded in SENet".JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS 26.2(2022):256-263. |
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