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An Initial Study on Automated Acupoint Positioning for Laser Acupuncture.

Kun-Chan Lan1, Chang-Yin Lee2,3, Guan-Sheng Lee1

  • 1Department of CSIE, National Cheng Kung University, Tainan 701, Taiwan.

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Summary

This study introduces a smartphone-based laser acupuncture system for painless pain relief. The automated acupoint positioning technology ensures accuracy, making treatment accessible for home use.

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Area of Science:

  • Biomedical Engineering
  • Traditional Chinese Medicine
  • Robotics

Background:

  • Acupuncture is a key Traditional Chinese Medicine (TCM) therapy.
  • Pain and infection fears limit traditional acupuncture adoption.
  • Laser acupuncture offers a painless, infection-free alternative.

Purpose of the Study:

  • To develop a low-cost, automated acupoint positioning system for laser acupuncture.
  • To enhance laser acupuncture accessibility and patient comfort.
  • To create a smartphone-controlled, point-of-care device for home use.

Main Methods:

  • Integration of machine learning algorithms and computer vision.
  • Development of a robot-assisted laser acupuncture system on a smartphone platform.
  • Implementation of an acupoint estimation algorithm with precise localization.

Main Results:

  • Achieved an acupoint localization error of less than 5 mm.
  • Successfully implemented a smartphone-controlled automated laser acupuncture system.
  • Developed a functional lift-thrust mechanism for the device.

Conclusions:

  • The developed system offers an accurate and automated solution for laser acupuncture.
  • This smartphone-based device provides a convenient point-of-care option for home treatment.
  • The technology addresses patient reluctance towards traditional acupuncture by offering a painless alternative.