Photoplethysmography-Based Blood Pressure Estimation Combining Filter-Wrapper Collaborated Feature Selection With LASSO-LSTM Model-Reference-Cited by-同舟云学术

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Photoplethysmography-Based Blood Pressure Estimation Combining Filter-Wrapper Collaborated Feature Selection With LASSO-LSTM Model

Published:2021 Issue: Volume:70 Page:1-14
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Wang Dingliang^ORCID,Yang Xuezhi^ORCID,Liu Xuenan^ORCID,Ma Likun^ORCID,Li Longwei^ORCID,Wang Wenjin^ORCID

Funder

Anhui Major Projects of Science and Technology

University Synergy Innovation Program of Anhui Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/9259274/09528415.pdf?arnumber=9528415

Cited by 37 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. A blood pressure estimation approach based on single-channel photoplethysmography differential features;Biomedical Signal Processing and Control;2024-11

2. One-Month Evaluation of Blood Pressure Estimation Using a Fine-Tuned Model With Wristband-Type Photoplethysmograms;IEEE Sensors Journal;2024-07-01

3. Predicting Arterial Stiffness From Single-Channel Photoplethysmography Signal: A Feature Interaction-Based Approach;IEEE Journal of Biomedical and Health Informatics;2024-07

4. FG-HFS: A feature filter and group evolution hybrid feature selection algorithm for high-dimensional gene expression data;Expert Systems with Applications;2024-07

5. Prediction of arterial blood pressure waveforms based on Multi-Task learning;Biomedical Signal Processing and Control;2024-06

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