Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Suctioning the Nasopharyngeal Airway01:29

Suctioning the Nasopharyngeal Airway

463
Nasopharyngeal suctioning is a procedure to remove secretions from the upper part of the respiratory tract that the patient cannot clear independently. It helps maintain airway patency and prevents complications such as aspiration pneumonia.
Equipment Required
463

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Engineering Bacterial Secretion Systems for Enhanced Tumor Imaging and Surgical Guidance.

Advanced materials (Deerfield Beach, Fla.)·2025
Same author

Camera sheath with transformable head for minimally invasive surgical instruments.

Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy·2024
Same author

Machine-learning-based coordination of powered ankle-foot orthosis and functional electrical stimulation for gait control.

Frontiers in bioengineering and biotechnology·2024
Same author

Standing Balance Control of a Bipedal Robot Based on Behavior Cloning.

Biomimetics (Basel, Switzerland)·2022
Same author

Correction to: Proceedings of the Second Curing Coma Campaign NIH Symposium: Challenging the Future of Research for Coma and Disorders of Consciousness.

Neurocritical care·2022
Same author

Proceedings of the Second Curing Coma Campaign NIH Symposium: Challenging the Future of Research for Coma and Disorders of Consciousness.

Neurocritical care·2022

Related Experiment Video

Updated: Jul 12, 2025

Nasal Brushing Sampling and Processing Using Digital High Speed Ciliary Videomicroscopy – Adaptation for the COVID-19 Pandemic
09:03

Nasal Brushing Sampling and Processing Using Digital High Speed Ciliary Videomicroscopy – Adaptation for the COVID-19 Pandemic

Published on: November 7, 2020

4.9K

Deep Neural Network-Based Visual Feedback System for Nasopharyngeal Swab Sampling.

Suhun Jung1, Yonghwan Moon2,3, Jeongryul Kim1

  • 1Artificial Intelligence and Robot Institute, Korea Institute of Science and Technology, 5, Hwarang-ro 14-gil, Seongbuk-gu, Seoul 02792, Republic of Korea.

Sensors (Basel, Switzerland)
|October 28, 2023
PubMed
Summary

This study introduces an augmented reality (AR) visual feedback system to improve robotic nasal swab sampling. The system accurately reconstructs swab shape and position, enhancing safety and performance for healthcare workers during pandemics.

Keywords:
1-dimensional convolution neural networkaugmented realityfiducial markerload cellnasopharyngeal swab testing

More Related Videos

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning
04:17

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

Published on: May 10, 2024

790
Cultivate Primary Nasal Epithelial Cells from Children and Reprogram into Induced Pluripotent Stem Cells
12:08

Cultivate Primary Nasal Epithelial Cells from Children and Reprogram into Induced Pluripotent Stem Cells

Published on: March 10, 2016

11.3K

Related Experiment Videos

Last Updated: Jul 12, 2025

Nasal Brushing Sampling and Processing Using Digital High Speed Ciliary Videomicroscopy – Adaptation for the COVID-19 Pandemic
09:03

Nasal Brushing Sampling and Processing Using Digital High Speed Ciliary Videomicroscopy – Adaptation for the COVID-19 Pandemic

Published on: November 7, 2020

4.9K
DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning
04:17

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

Published on: May 10, 2024

790
Cultivate Primary Nasal Epithelial Cells from Children and Reprogram into Induced Pluripotent Stem Cells
12:08

Cultivate Primary Nasal Epithelial Cells from Children and Reprogram into Induced Pluripotent Stem Cells

Published on: March 10, 2016

11.3K

Area of Science:

  • Robotics
  • Medical Technology
  • Computer Vision

Background:

  • Robotic systems for swab sampling were developed during the COVID-19 pandemic to protect healthcare workers.
  • Teleoperated systems reduce infection risk but lack precise swab visualization within the nasal cavity, hindering performance.
  • Limited camera views impede operators from assessing swab position and deformation during sampling.

Purpose of the Study:

  • To develop and validate an augmented reality (AR) visual feedback system for teleoperated nasal swab sampling.
  • To enhance operator's ability to monitor and reconstruct the swab's shape and position in real-time.
  • To improve the safety and efficiency of robotic nasal swab collection.

Main Methods:

  • A visual feedback system was designed using augmented reality (AR) to reconstruct the shape of a nasal (NP) swab.
  • Interaction force data from load cells and shape information from motion tracking were collected.
  • A one-dimensional convolution neural network (1DCNN) model was trained to estimate swab feature point coordinates.
  • The reconstructed virtual swab shape was overlaid onto the operator's visual display.

Main Results:

  • The 1DCNN model demonstrated accuracy in estimating swab feature points in a 2D plane under various bending conditions.
  • Predicted x-values showed errors under 0.590 mm from P0 and a biased error of approximately -1.5 mm for P1 and P2.
  • Y-value errors were under 1 mm for positive bending and increased with deformation under negative bending.
  • Experiments with a collaborative robot confirmed the system's ability to visualize swab position and deformation on phantoms.

Conclusions:

  • The proposed AR visual feedback system effectively reconstructs NP swab shape and position.
  • This technology can significantly improve the performance and safety of teleoperated robotic swab sampling.
  • The system offers a valuable solution for remote medical procedures requiring precise instrument manipulation.