期刊论文

中文

生物化学与生物物理进展

1000-3282

2024

51

02

447-458

10.16476/j.pibb.2022.0574

本校为其他机构

目的 直接动脉血压（arterial blood pressure,ABP）连续监测是侵入式的，传统袖带式的间接血压测量法无法实现连续监测。既往利用光学体积描记术（photoplethysmography,PPG）实现了连续无创血压监测，但其为收缩压和舒张压的离散值，而非ABP波的连续值，本研究期望基于卷积神经网络-长短期记忆神经网络（CNN-LSTM）利用PPG信号波重建ABP波信号，实现连续无创血压监测。方法 构建CNN-LSTM混合神经网络模型，利用重症监护医学信息集（medical information mart for intensive care,MIMIC）中的PPG与ABP波同步记录信号数据，将PPG信号波经预处理降噪、归一化、滑窗分割后输入该模型，重建与之同步...

Objective Direct continuous monitoring of arterial blood pressure is invasive and continuous monitoring cannot be achieved by traditional cuffed indirect blood pressure measurement methods.Previously,continuous non-invasive arterial blood pressure monitoring was achieved by using photoplethysmography(PPG),but it is discrete values of systolic and diastolic blood pressures rather than continuous values constructing arterial blood pressure waves.This study aimed to reconstruct arterial blood pressure wave signal based on CNN-LSTM using PPG to achieve continuous non-invasive arterial blood pressu...