Publications

Unobtrusive and Continuous Measurements of Dynamic Beat-to-beat Blood Pressure Using Multimodal Physiological Signals

Published in IEEE Journal of Biomedical and Health Informatics (JBHI), 2024

McBP-Net, a deep learning model using a hybrid CNN-LSTM architecture with multimodal signals and handcrafted features, significantly improves the accuracy of continuous beat-to-beat blood pressure estimation, achieving promising results for wearable cuffless BP measurements and outperforming existing methods in both accuracy and computational efficiency.

Recommended citation: Under Review

Wearables Cardiovascular Monitoring: Effects of Cold Pressor Test on Heart Rates Estimated From ECG, PPG and IPG Signals

Published in Online Journal of Robotics & Automation Technology, 2024

This study aims to investigate the effects of cold pressor test (CPT) on heart rate (HR) and HR variability (HRV).

Recommended citation: T Xiang, ZJ Liu, YW Jin, N Ji and YT Zhang*. Wearables Cardiovascular Monitoring: Effects of Cold Pressor Test on Heart Rates Estimated From ECG, PPG and IPG Signals. On Journ of Robotics & Autom. 2(4): 2024. OJRAT.MS.ID.000541. https://irispublishers.com/ojrat/fulltext/wearables-cardiovascular-monitoring-effects-of-cold-pressor-test-on-heart-rates-estimated-from-eCG-pPG-and-iPG-signals.ID.000541.php

Beat-to-beat continuous blood pressure estimation with optimal feature set of PPG and ECG signals using deep recurrent neural networks

Published in Vessel Plus, 2023

The purpose of this study is to develop a deep recurrent neural network (RNN) model with optimal feature set of photoplethysmogram (PPG) and electrocardiogram (ECG) signals for continuous BP estimation.

Recommended citation: Chen H, Lyu L, Zeng Z, Jin Y, Zhang Y. Beat-to-beat continuous blood pressure estimation with optimal feature set of PPG and ECG signals using deep recurrent neural networks. Vessel Plus. 2023; 7: 21. http://dx.doi.org/10.20517/2574-1209.2023.30 https://www.oaepublish.com/articles/2574-1209.2023.30

Public risk perceptions and coping behaviors in novel coronavirus pneumonia outbreaks: a systematic review

Published in Chinese Journal of Nursing Education, 2023

This paper is about systematically evaluate the level of public perception of the risk of the novel coronavirus pneumonia epidemic and the response behavior of various countries.

Recommended citation: Jin YW, Sun HY, Ji Y. (2023). "Public risk perceptions and coping behaviors in novel coronavirus pneumonia outbreaks: a systematic review." Chinese Journal of Nursing Education, 614-619. https://d.wanfangdata.com.cn/periodical/ChlQZXJpb2RpY2FsQ0hJTmV3UzIwMjMxMjI2Eg96aGhsankyMDIzMDUwMTgaCG1pOW43MjZz

Evolution of risk perception of medical staff during public health emergencies: a qualitative study

Published in Modern Clinical Nursing, 2022

This paper is about exploring the evolution law for risk perception of medical staff during public health emergencies so as to provide decision support for assessing the risk perception status of medical staff, predicting their behavioral changes and guiding their emotional responses.

Recommended citation: Li YQ, Gu JN, Sun YM, Shao J, Dang Y, Guo JM, Jin YW, Hu GY, Sun HY. (2022). "Evolution of risk perception of medical staff during public health emergencies: a qualitative study." Modern Clinical Nursing. 21(08):43-47. https://d.wanfangdata.com.cn/periodical/ChlQZXJpb2RpY2FsQ0hJTmV3UzIwMjMxMjI2Eg94ZGxjaGwyMDIyMDgwMDcaCG1pOW43MjZz