Peng Xin, Zhang Tianyi, Wang Dongying, Gu Xuelian, Yu Zihao
School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
Institute of TCM Constitution and Health, Shanghai University of TCM.
Zhongguo Zhen Jiu. 2025 Jul 12;45(7):889-895. doi: 10.13703/j.0255-2930.20241128-0006. Epub 2025 Apr 21.
An intelligent moxibustion instrument based on electromyography was designed to evaluate the real-time therapeutic effect of moxibustion.
Taking Shenshu (BL23) as the subject, surface electromyography (sEMG) at the center and equidistant points of Shenshu (BL23) were collected. The characteristic parameters, integrated electromyography (iEMG) and root mean square (RMS) were calculated before and after moxibustion. After analyzing the effect of moxibustion, a function algorithm for the end-of-moxibustion was obtained. Using this algorithm and combined with STM32 technology, the control system of moxibustion instrument and the upper computer software were designed to achieve the precise control during moxibustion delivery. Finally, the function, stability and safety of the moxibustion instrument were verified through clinical trials to ensure its effectiveness in practical application.
During one cycle of moxibustion at the center of Shenshu (BL23), the iEMG of sEMG decreased over time, meaning the decrease in muscle fatigue degree, and after one cycle of moxibustion, it elevated over time, showing the increase in muscle fatigue degree. RMS increased by 1.90% before and after moxibustion at the equidistant points of Shenshu (BL23), and the system indicated the end of moxibustion when RMS increased by 0.15%, and decreased by 0.13% at the center of Shenshu (BL23). The intelligent moxibustion instrument designed based on this algorithm can realize the function of mild moxibustion, and the effect of moxibustion can be evaluated by the real-time monitoring of RMS changes through the upper computer. During the operation of moxibustion instrument, moxa stick was fixed stably, remained a safe distance of 3 cm to 4 cm away from the skin surface. When the length of moxa stick was less than 5 cm left after ignited and the skin temperature exceeded the preset safety threshold of 48 ℃, the system was alarmed automatically.
The intelligent moxibustion instrument designed in the research can effectively evaluate the effect of moxibustion, and ensure the safety and stability during moxibustion delivery.
设计一种基于肌电图的智能艾灸仪，以评估艾灸的实时治疗效果。
以肾俞穴（BL23）为研究对象，采集肾俞穴（BL23）中心及等距点的表面肌电图（sEMG）。计算艾灸前后的特征参数，即积分肌电图（iEMG）和均方根（RMS）。分析艾灸效果后，得到艾灸结束的功能算法。利用该算法并结合STM32技术，设计了艾灸仪的控制系统和上位机软件，以实现艾灸过程中的精确控制。最后，通过临床试验验证了艾灸仪的功能、稳定性和安全性，以确保其在实际应用中的有效性。
在肾俞穴（BL23）中心进行一个周期的艾灸过程中，sEMG的iEMG随时间下降，意味着肌肉疲劳程度降低，而在一个周期的艾灸后，iEMG随时间升高，表明肌肉疲劳程度增加。在肾俞穴（BL23）等距点艾灸前后，RMS增加了1.90%，当RMS增加0.15%时系统提示艾灸结束，在肾俞穴（BL23）中心RMS下降了0.13%。基于该算法设计的智能艾灸仪可实现温和灸功能，通过上位机对RMS变化的实时监测可评估艾灸效果。艾灸仪运行过程中，艾条固定稳定，与皮肤表面保持3厘米至4厘米的安全距离。当点燃后的艾条剩余长度小于5厘米且皮肤温度超过预设的48℃安全阈值时，系统自动报警。
本研究设计的智能艾灸仪能有效评估艾灸效果，并确保艾灸过程中的安全性和稳定性。
