Non-contact blood pressure detection based on weighted ensemble learning model-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Non-contact blood pressure detection based on weighted ensemble learning model

Published:2023-09-29 Issue:1 Volume:18 Page:553-560
ISSN:1863-1703
Container-title:Signal, Image and Video Processing
language:en
Short-container-title:SIViP

Author:

Chen Wei,Zhai Dezhao,Wu Hang,Luo Zhu,Liu Fulong,Fu Yijing,Chen Yan,Zhang Xiaotao

Funder

Tianjin Municipal Science and Technology Bureau

Ministry Education of China

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://link.springer.com/content/pdf/10.1007/s11760-023-02762-1.pdf

Reference25 articles.

1. Rundo, F., Ortis, A., Battiato, S., Conoci, S.: Advanced bio-inspired system for noninvasive cuff-less blood pressure estimation from physiological signal analysis. Computation 6, 46 (2018)

2. Li, Y.-H., Harfiya, L.N., Purwandari, K., Lin, Y.-D.: Real-time cuffless continuous blood pressure estimation using deep learning model. Sensors 20, 5606 (2020)

3. Goudarzi, R.H, Somayyeh Mousavi, S., Charmi, M.: Using imaging photoplethysmography (iPPG) signal for blood pressure estimation. In: 2020 International conference on machine vision and image processing (MVIP), pp. 1–6 (2020)

4. Esmaelpoor, J., Moradi, M.H., Kadkhodamohammadi, A.: A multistage deep neural network model for blood pressure estimation using photoplethysmogram signals. Comput. Biol. Med. 120, 103719 (2020)

5. Schrumpf, F., Frenzel, P., Aust, C., Osterhoff, G., Fuchs, M.: Assessment of non-invasive blood pressure prediction from PPG and rPPG signals using deep learning. Sensors 21, 6022 (2021)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Stroke Disease Prediction Based on Multi-Model Ensemble Learning;2024 5th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT);2024-03-29

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3