首页|An Automatic Implementation of Oropharyngeal Swab Sampling for Diagnosing Respiratory Infectious Diseases via Soft Robotic End-Effectors

An Automatic Implementation of Oropharyngeal Swab Sampling for Diagnosing Respiratory Infectious Diseases via Soft Robotic End-Effectors

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The most widely adopted method for diagnosing respiratory infectious diseases is to conduct polymerase chain reac-tion(PCR)assays on patients'respiratory specimens,which are collected through either nasal or oropharyngeal swabs.The manual swab sampling process poses a high risk to the examiner and may cause false-negative results owing to improper sampling.In this paper,we propose a pneumatically actuated soft end-effector specifically designed to achieve all of the tasks involved in swab sampling.The soft end-effector utilizes circumferential instability to ensure grasping stability,and exhibits several key properties,including high load-to-weight ratio,error tolerance,and variable swab-tip stiffness,leading to successful automatic robotic oropharyngeal swab sampling,from loosening and tight-ening the transport medium tube cap,holding the swab,and conducting sampling,to snapping off the swab tail and sterilizing itself.Using an industrial collaborative robotic arm,we integrated the soft end-effector,force sensor,camera,lights,and remote-control stick,and developed a robotic oropharyngeal swab sampling system.Using this swab sampling system,we conducted oropharyngeal swab-sampling tests on 20 volunteers.Our Digital PCR assay results(RNase P RNA gene absolute copy numbers for the samples)revealed that our system successfully collected sufficient numbers of cells from the pharyngeal wall for respiratory disease diagnosis.In summary,we have developed a pharyngeal swab-sampling system based on an"enveloping"soft actuator,studied the sampling process,and imple-mented whole-process robotic oropharyngeal swab-sampling.

DiagnosisMedical robotSoft end-effectorSwab-samplingDigital PCR

Yafeng Cui、Wenjie Yu、Jingjing Li、Qi Shao、Ding Weng、Guoping Yin、Xiaohao Zhang、Xinjun Liu、Jingying Ye、Jiadao Wang、Huichan Zhao

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Department of Mechanical Engineering,Tsinghua University,Beijing 100084,China

Beijing Huakang Tongbang Technology Company,Beijing 102609,China

Department of Otorhinolaryngology,Beijing Tsinghua Changgung Hospital,School of Clinical Medicine,Tsinghua University,Beijing 102218,China

Tianjin Research Institute for Advanced Equipment,Tsinghua University,Tianjin 300300,China

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国家自然科学基金国家自然科学基金国家自然科学基金Research Project of State Key Laboratory of Mechanical System and Vibration of ChinaEmergency Research Project for COVID-19 from Institute for Precision Medicine of Tsinghua University of China

522225029204830251975306MSV201904

2024

中国机械工程学报
中国机械工程学会

中国机械工程学报

CSTPCD
影响因子:0.765
ISSN:1000-9345
年,卷(期):2024.37(2)