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 Experiment Video

Updated: Jul 15, 2025

Visualizing Motion Patterns in Acupuncture Manipulation
08:18

Visualizing Motion Patterns in Acupuncture Manipulation

Published on: July 16, 2016

8.8K

Back acupoint location method based on prior information and deep learning.

Ying-Bin Liu1, Jian-Hua Qin1, Gui-Fen Zeng2

  • 1School of Mechanical and Control Engineering, Guilin University of Technology, Guilin, China.

International Journal for Numerical Methods in Biomedical Engineering
|September 30, 2023
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

A clinician-centric intelligent method towards reliable pancreatic cancer vascular invasion assessment: a retrospective, multi-centre study.

The Lancet regional health. Western Pacific·2026
Same author

Corrigendum to "Identification of metastasis-associated proteins involved in gallbladder carcinoma metastasis by proteomic analysis and functional exploration of chloride intracellular channel 1" [Cancer Lett. 281 (2009) 71-81].

Cancer letters·2025
Same author

RETRACTED: Xiang et al. Schisandrin B Induces Apoptosis and Cell Cycle Arrest of Gallbladder Cancer Cells. <i>Molecules</i> 2014, <i>19</i>, 13235-13250.

Molecules (Basel, Switzerland)·2025
Same author

Correction: SPOCK1 as a potential cancer prognostic marker promotes the proliferation and metastasis of gallbladder cancer cells by activating the PI3K/AKT pathway.

Molecular cancer·2025
Same author

Burden of biliary tract carcinoma in China (1990-2021): Findings from the 2021 Global Burden of Disease Study.

Science bulletin·2024
Same author

Author Correction: LncRNA-PAGBC acts as a microRNA sponge and promotes gallbladder tumorigenesis.

EMBO reports·2024
Same journal

Functional and Structural Analysis of Auxetic Metamaterial Stent Designs for Thoracic Aortic Aneurysms Using Finite Element Simulation.

International journal for numerical methods in biomedical engineering·2026
Same journal

Dynamic Simulation of Male Bladder Outlet Obstruction: Flow Characteristics and Novel Quantitative Indicators.

International journal for numerical methods in biomedical engineering·2026
Same journal

Path Planning of Flexible Needle Based on Improved Particle Swarm Optimization Algorithm.

International journal for numerical methods in biomedical engineering·2026
Same journal

A Fully Automated Pipeline for Vertebral Structural Assessment From Medical Images. Application Under Metastatic Conditions.

International journal for numerical methods in biomedical engineering·2026
Same journal

Evaluation of Degradable Mg-Alloy Implants for Femoral Neck Fractures: Subject-Specific Finite Element Analysis Integrated With Bone Remodelling.

International journal for numerical methods in biomedical engineering·2026
Same journal

Patient-Specific In Silico Prediction of Outcomes of Partial Continuous-Flow LVAD Treatment in Peripartum Cardiomyopathy.

International journal for numerical methods in biomedical engineering·2026
See all related articles

This study introduces an improved deep learning method for automatically locating back acupuncture points using a single image. The novel approach achieves 90.12% accuracy, advancing intelligent acupoint selection for medical devices.

Area of Science:

  • Medical Robotics
  • Computational Anatomy
  • Deep Learning Applications

Background:

  • Acupuncture point accuracy is crucial for effective treatment with medical devices like acupuncture robots.
  • Current intelligent acupoint selection technology lacks maturity, posing challenges for rapid and accurate automated positioning.

Purpose of the Study:

  • To develop a novel method for automatic back acupoint location.
  • To establish an evaluation index for acupoint location accuracy.
  • To enhance the precision of acupoint identification for robotic applications.

Main Methods:

  • An improved Keypoint RCNN network incorporating a Channel and Spatial Attention Mechanism module (CBAM) was proposed for preliminary acupoint localization.
  • A posterior median line positioning method was implemented to refine accuracy.
Keywords:
acupoint locationevaluation method of acupoint positioningimproved keypoint RCNNposterior median line positioning methodprior information of acupoints

More Related Videos

Author Spotlight: Exploring Acupuncture in Alzheimer's Research from Thread-Embedding Techniques to Clinical Trials
05:54

Author Spotlight: Exploring Acupuncture in Alzheimer's Research from Thread-Embedding Techniques to Clinical Trials

Published on: May 10, 2024

1.4K
Three-Dimensional Finger Motion Tracking during Needling: A Solution for the Kinematic Analysis of Acupuncture Manipulation
08:27

Three-Dimensional Finger Motion Tracking during Needling: A Solution for the Kinematic Analysis of Acupuncture Manipulation

Published on: October 28, 2021

2.8K

Related Experiment Videos

Last Updated: Jul 15, 2025

Visualizing Motion Patterns in Acupuncture Manipulation
08:18

Visualizing Motion Patterns in Acupuncture Manipulation

Published on: July 16, 2016

8.8K
Author Spotlight: Exploring Acupuncture in Alzheimer's Research from Thread-Embedding Techniques to Clinical Trials
05:54

Author Spotlight: Exploring Acupuncture in Alzheimer's Research from Thread-Embedding Techniques to Clinical Trials

Published on: May 10, 2024

1.4K
Three-Dimensional Finger Motion Tracking during Needling: A Solution for the Kinematic Analysis of Acupuncture Manipulation
08:27

Three-Dimensional Finger Motion Tracking during Needling: A Solution for the Kinematic Analysis of Acupuncture Manipulation

Published on: October 28, 2021

2.8K
  • Acupoint expansion and location were performed using prior information.

    • Main Results:

    • The initial acupoint positioning accuracy reached 87.32%.
    • Post-correction, the accuracy improved by 2.8% to 90.12%.
    • This research marks the first application of deep learning for automatic back acupoint location using a single image.

    Conclusions:

    • The proposed method demonstrates high accuracy in automatic back acupoint location.
    • This advancement has significant implications for improving the precision of acupuncture robots.
    • The study successfully integrates deep learning for a critical task in automated traditional medicine.