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福建中医药大学针灸推拿学院,福州 350122
福州大学电气工程与自动化学院
福建中医药大学附属第二人民医院
福建师范大学计算机与网络空间安全学院
福建中医药大学附属第三人民医院康复二科,福州 350122
✉林栋,教授。E-mail:bluelikel@sina.com
收稿:2025-01-14,
网络首发:2025-06-16,
纸质出版:2025-09-12
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齐诗仪, 林锦文, 王世豪, 等. 基于阵列多通道数据的穴位电信号对多模式针灸刺激的非线性时空响应特征研究[J]. 中国针灸, 2025,45(9):1209-1217.
QI Shiyi, LIN Jinwen, WANG Shihao, et al. Study on nonlinear spatiotemporal response characteristics of acupoint electrical signals to multi-mode acupuncture and moxibustion stimulation based on array multichannel data[J]. Chinese Acupuncture & Moxibustion, 2025, 45(9): 1209-1217.
齐诗仪, 林锦文, 王世豪, 等. 基于阵列多通道数据的穴位电信号对多模式针灸刺激的非线性时空响应特征研究[J]. 中国针灸, 2025,45(9):1209-1217. DOI: 10.13703/j.0255-2930.20250114-k0002.
QI Shiyi, LIN Jinwen, WANG Shihao, et al. Study on nonlinear spatiotemporal response characteristics of acupoint electrical signals to multi-mode acupuncture and moxibustion stimulation based on array multichannel data[J]. Chinese Acupuncture & Moxibustion, 2025, 45(9): 1209-1217. DOI: 10.13703/j.0255-2930.20250114-k0002.
目的
2
通过提取阵列多通道数据的非线性特征参数,并结合多元统计分析,探索合谷穴不同刺激模式下远端皮肤电位在时空维度的变化规律。
方法
2
选取7名健康受试者,采用14×9阵列多通道电极采集左侧曲池穴体表电位。以左侧合谷穴作为刺激点,施加静息、点按、艾灸和行针4种模式,各模式采集电信号30 s,操作间隔5 min,采样频率为16 384 Hz。数据经集成经验模态分解(EEMD)降噪后,提取样本熵(SaEn)特征,并通过因子分析和多变量方差分析进行统计。
结果
2
点按、艾灸和行针模式下多数电极通道的SaEn值较静息状态增高。行针模式下电极通道的SaEn值在首个时间区间内(1-5 s)达到峰值,随后逐渐降低。因子分析显示,激活通道特异性集中于左侧曲池穴(载荷量≥0.90);方差分析结果表明,激活通道的平均样本熵(
https://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=89581353&type=
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)值在合谷穴不同刺激模式差异有统计学意义(
P
<
0.001),但组别与时间区间的交互效应差异无统计学意义(
P
>
0.05)。
结论
2
通过非线性特征参数提取及多元统计分析,揭示了合谷穴在不同刺激模式下对远端皮肤电位的复杂时空变化规律,并成功识别出曲池穴的特异性激活特征。
Objective
2
To elucidate the rules of temporal and spatial variations in distal skin potential at Hegu (LI4) under different stimulation modes by extracting nonlinear characteristic parameters from array multichannel data and adopting multivariate statistical analysis.
Methods
2
Seven healthy subjects were selected and the surface potential at the left Quchi (LI11) was collected using 14×9 array multichannel electrodes. Using Hegu (LI4) on the left as the stimulation point
four stimulation modes were applied
i.e. being quiescent
point pressing
moxibustion
and manual needling manipulation. Electrical signals were collected for 30 s in each mode
with a 5-min interval between operations
and a sampling frequency of 16 384 Hz. The data was denoised using ensemble empirical mode decomposition (EEMD)
and sample entropy (SaEn) features were extracted. Statistical analysis was conducted on these data using factor analysis and multivariate analysis of variance.
Results
2
The SaEn values of most electrode channels were higher under point pressing
moxibustion and manual needling manipulation compared with those under quiescent condition. Under manual needling manipulation
the SaEn value of the electrode channel reached the peak in the first time interval (1-5 s) and it was declining thereafter. Factor analysis showed that the specificity of activation channels was concentrated at the left Quchi (LI11) (loading capacity ≥0.90). Analysis of variance indicated that the significant differences were presented in average sample entropy (
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) values of activation channels among different stimulation modes at Hegu (LI4) (
P
<
0.001)
but there was no statistically significant interaction effect between groups and time intervals (
P
>
0.05).
Conclusion
2
Through nonlinear characteristic parameter extraction and multivariate statistical analysis
we have uncovered the complex temporal and spatial dynamical rules of distal skin potential at Hegu (LI4) under various stimulation modes and successfully identified the specific activation characteristics at Quchi (LI11).
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