An improved deep regression model with state space reconstruction for continuous blood pressure estimation
-
Published:2024-08
Issue:
Volume:118
Page:109319
-
ISSN:0045-7906
-
Container-title:Computers and Electrical Engineering
-
language:en
-
Short-container-title:Computers and Electrical Engineering
Author:
Lyu LiangyiORCID,
Lu Lei,
Chen HanjieORCID,
Clifton David A.,
Zhang YuantingORCID,
Chakraborti TapabrataORCID
Reference59 articles.
1. Prevalence, awareness, treatment, and control of hypertension in rural and urban communities in high-, middle-, and low-income countries;Chow;JAMA,2013
2. Beats-to-beats estimation of blood pressure during supine cycling exercise using a probabilistic nonparametric method;Liu;IEEE Access,2021
3. Continuous blood pressure measurement from invasive to unobtrusive: Celebration of 200th birth anniversary of Carl Ludwig;Ding;IEEE J Biomed Health Inform,2016
4. Prediction of arterial blood pressure waveforms from photoplethysmogram signals via fully convolutional neural networks;Cheng;Comput Biol Med,2021
5. A multistage deep neural network model for blood pressure estimation using photoplethysmogram signals;Esmaelpoor;Comput Biol Med,2020