Digital Twin-Based Skill Training With a Hands-On User Interaction Device to Assist in Manual and Robotic Ultrasound Scanning-Reference-Cited by-同舟云学术

Digital Twin-Based Skill Training With a Hands-On User Interaction Device to Assist in Manual and Robotic Ultrasound Scanning

Published:2022 Issue: Volume:6 Page:787-793
ISSN:2469-7281
Container-title:IEEE Journal of Radio Frequency Identification
language:
Short-container-title:IEEE J. Radio Freq. Identif.

Author:

Dang Ziyue¹,Yang Qi²,Deng Zhaokun³,Han Jiancheng²,He Yihua²,Wang Shuangyi⁴^ORCID

Affiliation:

1. Department of Computer Science and Technology, Tsinghua University, Beijing, China

2. Echocardiography Medical Center, Beijing Anzhen Hospital, Capital Medical University Maternal-Fetal Medicine Center in Fetal Heart Disease, Beijing, China

3. School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China

4. State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China

Funder

National Natural Science Foundation of China

InnoHK Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7433271/9663041/09881585.pdf?arnumber=9881585

Reference16 articles.

1. Impact of an Inexpensive Anatomy-Based Fetal Pig Simulator on Obstetric Ultrasound Training

2. Model Reference Adaptive Control of Semi-active Suspension Model Based on AdaBoost Algorithm for Rollover Prediction

3. Visual-Assisted Probe Movement Guidance for Obstetric Ultrasound Scanning Using Landmark Retrieval

4. OpenIGTLink: an open network protocol for image-guided therapy environment

5. PLUS: Open-Source Toolkit for Ultrasound-Guided Intervention Systems

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1. Development of a Parallel-Mechanism-Based Robotic Wrist With Remote Center of Motion Capability to Assist Ultrasound Scanning;IEEE Journal of Radio Frequency Identification;2024

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3. Guest Editorial of the Special Issue on the 2nd IEEE International Conference on Digital Twins and Parallel Intelligence (IEEE DTPI 2022);IEEE Journal of Radio Frequency Identification;2023