Blood pressure measurement system based on internet of things and deep learning(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2024年第11期
- Page:
- 1383-1391
- Research Field:
- 医学信号处理与医学仪器
- Publishing date:
Info
- Title:
- Blood pressure measurement system based on internet of things and deep learning
- Author(s):
- ZHANG Xizhuang1; LIANG Hengyuan2; YIN Shimin2; 3; CHEN Zhencheng2; 4; LIANG Yongbo2; 3; 4
- 1. School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, China 2. School of Life and Environmental Sciences, Guilin University of Electronic Technology, Guilin 541004, China 3. Guangxi Key Laboratory of Automatic Testing Technology and Instrumentation, Guilin 541004, China 4. Guangxi Key Laboratory of Metabolic Disease Remodeling and Intelligent Medical Engineering for Chronic Diseases, Guilin 541004, China
- Keywords:
- Keywords: deep learning embedded blood pressure internet of things cloud computing
- PACS:
- R318.6；TP368.1
- DOI:
- DOI:10.3969/j.issn.1005-202X.2024.11.010
- Abstract:
- Abstract: A blood pressure measurement system based on internet of things and deep learning is proposed for continuous data acquisition and blood pressure prediction. The system adopts a hybrid neural network structure for processing the collected data and accurately predicting blood pressure, and the model consists of ResNet18, GRU and 3 fully connected layers. The data of 82 individuals are collected for training and testing. The mean absolute errors and standard deviations are 2.16 mmHg and 3.09 mmHg for diastolic blood pressure, 3.15 mmHg and 5.14 mmHg for systolic blood pressure, according with AAMI standard and BHS standard.
Last Update: 2024-11-26