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

Abstract The most widely adopted method for diagnosing respiratory infectious diseases is to conduct polymerase chain reaction (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 tightening 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 implemented whole-process robotic oropharyngeal swab-sampling..

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:37

Enthalten in:

Chinese journal of mechanical engineering - 37(2024), 1 vom: 21. März

Sprache:

Englisch

Beteiligte Personen:

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

Links:

Volltext [kostenfrei]

Themen:

Diagnosis
Digital PCR
Medical robot
Soft end-effector
Swab-sampling

Anmerkungen:

© The Author(s) 2024

doi:

10.1186/s10033-024-01009-5

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

SPR055221750