JOURNAL ARTICLE

Using multi-channel near-infrared spectroscopy to assess the effect of cupping therapy on the spatial hemodynamic response of the biceps muscle: A preliminary study.

  • Published In: Journal of Back & Musculoskeletal Rehabilitation, 2024, v. 37, n. 2. P. 459 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Li, Yameng; Mo, Pu-Chun; Peng, Fang; Guo, Jiaqi; Sheng, Zhongzhen; Lyu, Shaojun; Jan, Yih-Kuen 3 of 3

Abstract

This study investigated the spatial hemodynamic response of the biceps muscle to cupping therapy under varying pressures (-225 and -300 mmHg) and durations (5 and 10 minutes) using multi-channel functional near-infrared spectroscopy (fNIRS). Results from 18 healthy adults showed a significant interaction among location (inside vs. outside the cup), pressure, and duration on oxyhemoglobin, deoxy-hemoglobin, and blood volume, with notable increases in oxyhemoglobin, blood volume, and oxygenation observed not only inside but also immediately outside the cupping area. The findings suggest that both cupping pressure and duration influence muscle oxygenation spatially, indicating that effective cupping therapy should consider these factors to benefit muscle tissue both within and surrounding the cup application site. This research contributes to establishing a dose-response relationship for cupping therapy parameters to enhance its clinical effectiveness in managing musculoskeletal conditions.

Additional Information

  • Source:Journal of Back & Musculoskeletal Rehabilitation. 2024/03, Vol. 37, Issue 2, p459
  • Document Type:Article
  • Subject Area:Complementary and Alternative Medicine
  • Publication Date:2024
  • ISSN:1053-8127
  • DOI:10.3233/BMR-230158
  • Accession Number:176365972
  • Copyright Statement:Copyright of Journal of Back & Musculoskeletal Rehabilitation is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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