| 注册
首页|期刊导航|生物医学工程研究|基于深度相机的非接触式心肺复苏质量监测设备研制

基于深度相机的非接触式心肺复苏质量监测设备研制

薛纪航 王鹏 李振锋 赵皓楠 张浩 方震

生物医学工程研究2025,Vol.44Issue(2):106-111,134,7.
生物医学工程研究2025,Vol.44Issue(2):106-111,134,7.DOI:10.19529/j.cnki.1672-6278.2025.02.06

基于深度相机的非接触式心肺复苏质量监测设备研制

Development of non-contact cardiopulmonary resuscitation quality monitoring device based on depth camera

薛纪航 1王鹏 2李振锋 2赵皓楠 1张浩 1方震1

作者信息

  • 1. 中国科学院空天信息创新研究院,北京 100190||中国科学院大学电子电气与通信工程学院,北京 100049
  • 2. 中国科学院空天信息创新研究院,北京 100190
  • 折叠

摘要

Abstract

In order to continuously monitor and feedback the parameters of external chest compression during cardiopulmonary re-suscitation(CPR),we designed and manufactured a non-contact CPR quality monitoring device based on depth camera,which could obtain the depth information of the hand of the compressors based on depth camera and convolutional neural network without contact with the emergency patient.Additionly,through coordinate transformation and peak search algorithms,parameters such as compression depth and frequency were obtained.To verify the performance of the equipment,we built an evaluation system and measured the simu-lated chest compression datas.The results showed that the absolute average error of measuring the depth of compressions was 2.0 mum and the absolute average error of compressions frequency was 0.1 compressions per minute.The equipment has high detection accuracy and good robustness,which can meet the clinical needs.

关键词

非接触式监测/心肺复苏质量/深度相机/立体视觉技术/按压深度测量/深度神经网络/边缘计算

Key words

Non-contact monitoring/Cardiopulmonary resuscitation quality/depth camera/Stereo vision technology/Compres-sion depth measurement/Deep neural network/Edge computing

分类

基础医学

引用本文复制引用

薛纪航,王鹏,李振锋,赵皓楠,张浩,方震..基于深度相机的非接触式心肺复苏质量监测设备研制[J].生物医学工程研究,2025,44(2):106-111,134,7.

基金项目

国家自然科学基金项目(U21A20447,62331025,62371441,62401547) (U21A20447,62331025,62371441,62401547)

北京市创新人才计划跨学科合作项目 ()

中国医学科学院医学科学创新基金(2019-I2M-5-019). (2019-I2M-5-019)

生物医学工程研究

1672-6278

访问量2
|
下载量0
段落导航相关论文