[A machine learning-based trajectory predictive modeling method for manual acupuncture manipulation].
The machine learning-based MAM predictive model provides acupuncture practitioner with precise action prediction and feedback. It is valuable and significant for the inheritance and error correction of manual operation of acupuncture.
Authors
- Jian Kang (ORCID: https://orcid.org/0000-0001-9998-4975)
- Xiaonong Fan (ORCID: https://orcid.org/0000-0002-1534-125X)
- Yuhe Wei (ORCID: https://orcid.org/0009-0004-9125-4803)
- Jingqi Yang
- Chong Su (ORCID: https://orcid.org/0000-0002-6086-2513)
- Li Li (ORCID: https://orcid.org/0000-0001-8256-6849)
- Ziyi Chen (ORCID: https://orcid.org/0009-0004-0611-4954)
- Wenqi Zhang (ORCID: https://orcid.org/0009-0001-5057-5684)
- Jingwen Yang (ORCID: https://orcid.org/0000-0002-8206-2584)
- Jinniu Li (ORCID: https://orcid.org/0009-0008-8389-7170)
- Jie Chen (ORCID: https://orcid.org/0009-0008-2644-7341)
- Shu Wang (ORCID: https://orcid.org/0009-0002-4312-0865)
Institutions
- Beijing University of Chemical Technology (CN)
Publication Details
- Journal
- PubMed
- Published
- 2025-09-12
- DOI
- https://doi.org/10.13703/j.0255-2930.20250117-0001
- Primary Topic
- Acupuncture Treatment Research Studies
- Type
- article