Chen Chao-Tsung, Hsiu Hsin, Fan Jin-Shiang, Lin Fong-Cheng, Liu Yen-Ting
Department of Traditional Chinese Medicine, Taipei City Hospital RenAi Branch, Taipei, Taiwan.
Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan.
Microcirculation. 2015 Jul;22(5):370-7. doi: 10.1111/micc.12206.
This study performed skin-surface LDF measurements and SampEn analysis with the aims of (i) capturing the temporal complexity of cerebral hemodynamics in stroke patients and (ii) discriminating stroke patients from healthy control subjects. We also investigated the response induced by AS in beat-to-beat SampEn indexes of LDF signals.
LDF signals were obtained at bilateral TaiYang acupoints in 52 stroke patients. Each assessment involved a 20-minute baseline recording, a 20-minute AS, and a subsequent 20-minute recording. The FDT, FRT, and PW were calculated for each pulse of the LDF signals, and then their SampEn values were calculated.
The SampEn values of FRT were significantly larger in the stroke group (1.064 ± 0.052 and p = 0.013 at the stroke side; 1.059 ± 0.055 and p = 0.017 at the controlateral side) than in the control group (0.975 ± 0.120). On the stroke side, the SampEn of value of FRT was significantly decreased following AS (1.064 ± 0.052 to 1.008 ± 0.060; p = 0.027).
Larger SampEn values of FRT can be partly attributed to the local regulatory activities that are present in the stroke subjects when facing the induced abnormal vascular conditions and blood flow perfusion resistance. The present findings could aid the development of a noninvasive monitoring technique that will enable discrimination of the different microcirculatory responses in stroke patients.
本研究进行了皮肤表面激光散斑血流成像（LDF）测量和样本熵分析，旨在（i）捕捉中风患者脑血流动力学的时间复杂性，以及（ii）区分中风患者与健康对照者。我们还研究了主动站立（AS）对LDF信号逐搏样本熵指标的影响。
对52例中风患者双侧太阳穴进行LDF信号采集。每次评估包括20分钟的基线记录、20分钟的AS以及随后20分钟的记录。计算LDF信号每个脉搏的渡越时间（FDT）、上升时间（FRT）和灌注加权（PW），然后计算它们的样本熵值。
中风组FRT的样本熵值（中风侧为1.064±0.052，p = 0.013；对侧为1.059±0.055，p = 0.017）显著高于对照组（0.975±0.120）。在中风侧，AS后FRT的样本熵值显著降低（从1.064±0.052降至1.008±0.060；p = 0.027）。
FRT较大的样本熵值部分可归因于中风患者面对诱发的异常血管状况和血流灌注阻力时存在的局部调节活动。本研究结果有助于开发一种无创监测技术，以区分中风患者不同的微循环反应。
