Development of non-contact cardiopulmonary resuscitation quality monitoring device based on depth camera
XUE Jihang
WANG Peng
LI Zhenfeng
ZHAO Haonan
ZHANG Hao
FANG Zhen
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.
Keywords：Non-contact monitoringCardiopulmonary resuscitation qualitydepth cameraStereo vision technologyCompres-sion depth measurementDeep neural networkEdge computing
Publication Date：2025-04-30
Online Publishing Date：2026-09-11(First online date of this platform, not the publication date of the document)
Pages：7( 106-111,134 )