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拔罐产生的瘀斑和瘀点导致皮肤颜色变化的数值分析:一项初步研究。

Numerical analysis of the change in skin color due to ecchymosis and petechiae generated by cupping: a pilot study.

作者信息

Kim Soo-Byeong, Lee Yong-Heum

机构信息

Wellness Technology R&D Center, Human and Culture Convergence Technology R&D Group, Korea Institute of Industrial Technology, Ansan, Republic of Korea.

Eastern & Western Biomedical System Laboratory, Department of Biomedical Engineering, Yonsei University, Wonju, Republic of Korea.

出版信息

J Acupunct Meridian Stud. 2014 Dec;7(6):306-17. doi: 10.1016/j.jams.2013.09.004. Epub 2014 Sep 18.

Abstract

Cupping is one of the various treatment methods used in traditional oriental medicine. Cupping is also used as a diagnostic method and it may cause skin hyperpigmentation. Quantitative measurements and analysis of changes in skin color due to cupping are critical. The purpose of this study is to suggest an optical technique to visualize and identify changes in skin color due to cupping. We suggest the following analysis methods: digital color spaces [red, green, and blue (RGB) and L∗a∗b], the Erythema Index (E.I.), and the Melanin Index (M.I.). For experiments, we selected and stimulated 10 acupoints at 80 kilopascals (kPa) per minute. The RGB and L∗a∗b color spaces were observed to be decreased (p < 0.05) after cupping. The E.I. and M.I. were observed to be increased significantly (p < 0.05) after cupping. To assess various changes in skin color, we observed the changes for 72 hours. We also obtained the color changes by using the recovery pattern during the recovery period (p < 0.01). We propose that this method can be useful for visual identification and as a way to improve the identification of skin color changes.

摘要

拔罐是传统东方医学中使用的多种治疗方法之一。拔罐也用作一种诊断方法,并且可能导致皮肤色素沉着。对拔罐引起的皮肤颜色变化进行定量测量和分析至关重要。本研究的目的是提出一种光学技术,以可视化和识别拔罐引起的皮肤颜色变化。我们建议采用以下分析方法:数字色彩空间[红、绿、蓝(RGB)和L∗a∗b]、红斑指数(E.I.)和黑色素指数(M.I.)。在实验中,我们以每分钟80千帕(kPa)的压力选择并刺激了10个穴位。拔罐后观察到RGB和L∗a∗b色彩空间降低(p < 0.05)。拔罐后观察到红斑指数和黑色素指数显著升高(p < 0.05)。为了评估皮肤颜色的各种变化,我们观察了72小时。我们还通过恢复期的恢复模式获得了颜色变化(p < 0.01)。我们认为这种方法可用于视觉识别,并作为一种改善皮肤颜色变化识别的方法。

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