Prediction of Continuous Blood Pressure Using Multiple Gated Recurrent Unit Embedded in SENet

doi:10.1155/2021/8501990,2021

	Prediction of Continuous Blood Pressure Using Multiple Gated Recurrent Unit Embedded in SENet
	Chen, Xiaolei1 ; Chang, Hao 1; Cao, Baoning 1; Lu, Yubing 2; 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.