Robotic Manipulation System Design and Control for Non-Contact Remote Diagnosis in Otolaryngology: Digital Twin Approach

  • Lee, Sho-Hyun
  • Lee, Dong-Woo
  • Song, Hwa-Seob
  • Jeong, Seonmin
  • Ji, Yongbae
  • 외 3명
Citations

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Citations

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초록

The COVID-19 pandemic has emphasized the need for non-contact medical robots to alleviate the heavy workload and emotional stress experienced by healthcare professionals while preventing infection. In response, we propose a non-contact robotic diagnostic system for otolaryngology clinics, utilizing a digital twin model for initial design optimization. The system employs a master-slave robot architecture, with the slave robot comprising a flexible endoscope manipulation robot and a parallel robot arm for controlling additional medical instruments. The novel 4 degrees of freedom (DOF) control mechanism enables the single robotic arm to handle the endoscope, facilitating the process compared to the traditional two-handed approach. Phantom experiments were conducted to evaluate the effectiveness of the proposed flexible endoscope manipulation system in terms of diagnosis completion time, NASA task load index (NASA-TLX), and subjective risk score. The results demonstrate the system's usability and its potential to alternate conventional diagnosis.

키워드

RobotsEndoscopesInstrumentsMedical servicesDigital twinsMedical diagnostic imagingTeleroboticsUsabilityTestingDigital twinflexible endoscoperobot designrobotic diagnosistelerobotic systemusability testDegrees of freedom (mechanics)Industrial robotsMachine designMedical imagingNASARobotic armsRobotic surgerySlave robotsFlexible endoscopesMedical diagnostic imagingMedical servicesNon-contactRobot designsRobotic diagnoseTele-roboticsTelerobotic systemsUsabilityUsability testsEndoscopy
제목
Robotic Manipulation System Design and Control for Non-Contact Remote Diagnosis in Otolaryngology: Digital Twin Approach
저자
Lee, Sho-HyunLee, Dong-WooSong, Hwa-SeobJeong, SeonminJi, YongbaeSong, Ji-SungKim, JiyoungYi, Byung-Ju
DOI
10.1109/ACCESS.2023.3259539
발행일
2023-03
유형
Article
저널명
IEEE Access
11
페이지
28735 ~ 28750

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