天津工业大学学报2024,Vol.43Issue(2) :83-88.DOI:10.3969/j.issn.1671-024x.2024.02.013

可穿戴人体无创血压测量技术

Wearable non-invasive human blood pressure measurement technology

高铁成 刘璨 戈立军 马宇洁
天津工业大学学报2024,Vol.43Issue(2) :83-88.DOI:10.3969/j.issn.1671-024x.2024.02.013

可穿戴人体无创血压测量技术

Wearable non-invasive human blood pressure measurement technology

高铁成 1刘璨 1戈立军 1马宇洁2
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作者信息

  • 1. 天津工业大学电子与信息工程学院,天津 300387;天津工业大学天津市光电检测技术与系统重点实验室,天津 300387
  • 2. 空军军医大学空军特色医学中心重症医学科,北京 100142
  • 折叠

摘要

针对传统的连续无创血压测量设备结构复杂、体积大、不宜穿戴、限制患者运动等问题,设计一种可穿戴设备对人体血压进行实时无创测量.通过硬件设备同步获取心电-脉搏波信号,设计信号处理算法,提取特征点用于后续血压估计.应用MIMIC数据中心电-脉搏-血压信号计算脉搏波传导时间及射血前期,并利用最小二乘法进行线性回归分析,构建血压测量模型,实现个性化血压检测算法.实验验证结果表明:采用该技术检测人体血压时,误差的标准差在±8 mmHg(1 mmHg ≈133 Pa)范围内,平均绝对误差小于5 mmHg,满足AAMI国际血压计准确性评价标准的要求.

Abstract

Aiming at the problems of complex structure,large size,unsuitable wearability,and restriction of patient move-ment in the existing continuous non-invasive blood pressure measurement equipment,a wearable device is de-signed to measure human blood pressure in real time.The electrocardiogram(ECG)-pulse wave signal is ob-tained synchronously through the hardware device,and a signal processing algorithm was designed to extract fea-ture points for subsequent blood pressure estimation.The electro-pulse-blood pressure signal of MIMIC data center is used to calculate the pulse wave transmission time and pre-ejection stage,and the linear regression analysis is carried out using the least squares method,and the blood pressure measurement model is constructed to realize the personalized blood pressure detection algorithm.The experimental results show that when using this technology to detect human blood pressure,the standard deviation of the error is within the range of±8 mmHg(1 mmHg≈ 133 Pa),and the average absolute error is less than 5 mmHg,which meets the requirements of the AAMI international sphygmomanometer accuracy evaluation standard.

关键词

无创血压测量/脉搏波传导时间/可穿戴/射血前期

Key words

non-invasive blood pressure measurement/pulse wave transmission time/wearable/pre-ejection period

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基金项目

中央军委后勤保障部重点军工项目(BKJ19C023)

出版年

2024
天津工业大学学报
天津工业大学

天津工业大学学报

CSTPCD北大核心
影响因子:0.404
ISSN:1671-024X
参考文献量13
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