[Technological innovation and future development of quantitative research on acupuncture manipulation techniques]

Area of Science:

• Biomedical Engineering
• Traditional Chinese Medicine
• Data Science

Background:

• Acupuncture manipulation has historically relied on empirical practices.
• Quantifying these techniques is crucial for standardization and scientific validation.
• Interdisciplinary technologies offer new avenues for objective measurement.

Purpose of the Study:

• To comprehensively review the biomechanical foundations and technological evolution of acupuncture manipulation quantification.
• To explore advancements in data collection, analytical methods, and emerging technologies.
• To propose future directions for integrating digital systems and big data in acupuncture.

Main Methods:

• Review of biomechanical parameter collection upgrades.
• Analysis of breakthroughs in computational and statistical methods.
• Integration of computer vision, deep learning, and multimodal perception fusion.

Main Results:

• Significant advancements in collecting and analyzing biomechanical parameters of acupuncture manipulation.
• Successful application of AI and computer vision for objective assessment.
• Demonstrated potential for multimodal perception fusion in enhancing accuracy.

Conclusions:

• Multidisciplinary technological integration can establish a digital acupuncture theory system.
• This approach facilitates the transformation of acupuncture into data-driven precision medicine.
• Provides a foundation for modernizing and internationally standardizing traditional Chinese medicine.