Improving the Accuracy in Classification of Blood Pressure from Photoplethysmography Using Continuous Wavelet Transform and Deep Learning

首页 > 成果 > 详情

认领

导出

Link by DOI

反馈

作者信息关键词期刊信息基础信息归属信息摘要

成果类型：

期刊论文

作者：

Wu, Jiaze;Liang, Hao;Ding, Changsong;Huang, Xindi;Huang, Jianhua;...

作者机构：

[Wu, Jiaze; Peng, Qinghua; Liang, Hao] Hunan Univ Chinese Med, Inst TCM Diagnost, Changsha 410208, Hunan, Peoples R China.

[Peng, Qinghua; Liang, Hao] Hunan Univ Chinese Med, Postdoctoral Res Stn Integrat Med, Changsha 410208, Hunan, Peoples R China.

[Ding, Changsong; Huang, Xindi] Hunan Univ Chinese Med, Sch Informat & Engn, Changsha 410208, Hunan, Peoples R China.

[Huang, Jianhua] Hunan Acad Chinese Med, Inst Herbs, Changsha 410208, Hunan, Peoples R China.

语种：

英文

期刊：

International Journal of Hypertension

ISSN：

2090-0384

年：

2021

卷：

2021

DOI：

10.1155/2021/9938584

基金类别：

China Postdoctoral Science FoundationChina Postdoctoral Science Foundation [2020M682578]; Hunan Province Outstanding Postdoctoral Innovative Talent Project [2020RC2061]; Hunan Provincial Department of Education [18C0380, 18K070]

机构署名：

本校为第一机构

院系归属：

中医学院

摘要：

Background. Continuous wavelet transform (CWT) based scalogram can be used for photoplethysmography (PPG) signal transformation to classify blood pressure (BP) with deep learning. We aimed to investigate the determinants that can improve the accuracy of BP classification based on PPG and deep learning and establish a better algorithm for the prediction. Methods. The dataset from PhysioNet was accessed to extract raw PPG signals for testing and its corresponding BPs as category labels. The BP category of normal or abnormal followed the criteria of the 2017 American College of Cardiology/America...

反馈

产权有误：本人成果被他人认领

数据有误：数据基本信息有误

归属有误：成果的院系归属、机构署名归属有误

其他原因：

验证码：

看不清楚，换一个

确定

取消

成果认领

标题：

用户	作者	通讯作者	--
	请选择	请选择	--

确定

取消

Improving the Accuracy in Classification of Blood Pressure from Photoplethysmography Using Continuous Wavelet Transform and Deep Learning

反馈

成果认领

提示

该栏目需要登录且有访问权限才可以访问