摘要
目的阐明下体负压(LBNP)作用下血压变异性的特征,以及有氧锻炼是否对其有一定影响。方法用常规AR谱、时变AR谱、粗粒化谱分析(CGSA)及近似熵(ApEn)四种方法,分析六个月有氧锻炼前、后大学生在两种LBNP作用下的收缩压变异性(SBPV),并与一组中、长跑运动员的结果进行横向比较。结果LBNP作用时,SBPV信号谐波成份的总功率及低频段(LF)功率增大,分形成份的谱指数(无显著变化,而ApEn则呈持续升高变化。有氧锻炼后,LBNP作用下各种SBPV指标的响应变化较锻炼前并无显著差别。大学生组与运动员组之间亦无显著差别。结论SBPV信号与心率变异性(HRV)迥然不同:LBNP作用下,SBPV的LF成份被进一步激活,信号的复杂度显著升高;但SBPV信号的这种特征性变化并不受有氧锻炼的影响。
Objective The aims of the present study were to investigate the signal characteristics of short term systolic blood pressure variability (SBPV) during lower body negative pressure (LBNP) testing and to see the effect of aerobic training on them. Methods The SBPV signals during both supine and upright seated LBNP tests, obtained from a group of 8 student subjects before and after a 6 mon aerobic training, as well as from 6 athletes (medium and long distance runners) were analyzed by conventional and dynamic autoregressive (AR) spectral analyses, coarse graining spectral analysis (CGSA), and approximate entropy (ApEn) measurement. Results During supine resting, SBPV showed a typical pattern of primarily low frequency oscillations with spectral exponent β being ~2. During LBNP tests, the total spectral power (TP) and low frequency power (LF) of the harmonic component, as well as the ApEn value of SBPV signals showed significant increases, whereas the slope β of the fractal component was unchanged for SBPV. There was no significant change in the above stated spectral and non linear indexes of SBPV under LBNP after aerobic training. Conclusion These data indicate that there are important differences between SBPV and heart rate variability (HRV) signals during LBNP test. For SBPV, the LF power component is further activated, the process of regulation appears to be more complicated under orthostatic stress, and the signal characteristics are not changed after aerobic training.
出处
《中华航空航天医学杂志》
CSCD
1998年第4期223-228,共6页
Chinese Journal of Aerospace Medicine
关键词
有氧锻炼
血压变异性
下体负压
谱分析
动态谱
Aerobic training Blood pressure variability Lower body negative pressure Spectral analysis Dynamic spectrum Approximate entropy