Long-range correlations in heart rate variability during computer-mouse work under time pressure
Long-range correlations in heart rate variability during computer-mouse work under time pressure
复制标题
时间压力下计算机鼠标工作期间心率变异性的长程相关性
DOI：
10.1016/j.physa.2008.12.068
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发表时间：
2009-04
影响因子：
3.3
通讯作者：
Tong
中科院分区：
文献类型：
--
作者：
He;Yihong;Dineng;Mulu;Shanbao;Qiu;Zhu;Jiang;Yisheng;Tong
本研究的目的是探讨时间压力对心率变异性（HRV）长程相关性的影响、放松对心血管调节系统的影响，以及去趋势波动分析（DFA）相对于传统功率谱分析在区分不同时间压力水平下心血管系统状态方面的优势。志愿者受试者（n = 10，男性/女性= 5/5）参与由五个会话组成的计算机鼠标任务，即没有时间压力的基线会话（BSS），然后是基线时间的80％（SS80），100％（SS100），90％（SS90）和150％（SS150）的会话。在整个实验过程中记录心电图（ECG）和任务表现。还记录了计算机鼠标工作前后的两次休息时间，即 RS1 和 RS2，作为比较。随后通过传统功率谱分析和去趋势波动分析（DFA）对 HRV 系列进行分析。 DFA 的长期缩放指数 α2 在 SS80 中显着低于其他会话。研究还发现，短期释放时间压力对心血管系统有积极影响，即RS2中的α2显着高于SS80、SS100和SS90。通过常规功率谱分析，在任何两个会话之间没有发现显着差异。我们的结果表明，DFA 在区分时间压力下心血管自主调节状态方面比传统功率谱分析表现更好。
The aim of this study was to investigate the influences of time pressure on long-range correlations in heart rate variability (HRV), the effects of relaxation on the cardiovascular regulation system and the advantages of detrended fluctuation analysis (DFA) over the conventional power spectral analysis in discriminating states of the cardiovascular systems under different levels of time pressure. Volunteer subjects (n=10, male/female=5/5) participated in a computer-mouse task consisting of five sessions, i.e. baseline session (BSS) which was free of time pressure, followed by sessions with 80% (SS80), 100% (SS100), 90% (SS90) and 150% (SS150) of the baseline time. Electrocardiogram (ECG) and task performance were recorded throughout the experiments. Two rest sessions before and after the computer-mouse work, i.e. RS1 and RS2, were also recorded as comparison. HRV series were subsequently analyzed by both conventional power spectral analysis and detrended fluctuation analysis (DFA). The long-term scaling exponent α2by DFA was significantly lower in SS80 than that in other sessions. It was also found that short-term release of time pressure had positive influences on the cardiovascular system, i.e. the α2in RS2 was significantly higher than that in SS80, SS100 and SS90. No significant differences were found between any two sessions by conventional power spectral analysis. Our results showed that DFA performed better in discriminating the states of cardiovascular autonomic modulation under time pressure than the conventional power spectral analysis.
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影响因子：
3
作者：
Garde, AH;Laursen, B;Jensen, BR
通讯作者：
Jensen, BR
DOI：
10.1016/j.physa.2003.09.002
发表时间：
2003-12-15
影响因子：
3.3
作者：
Blesic, S;Milosevic, S;Ljubisavljevic, M
通讯作者：
Ljubisavljevic, M
影响因子：
3.3
作者：
Ivanova, K;Ausloos, M
通讯作者：
Ausloos, M
影响因子：
37.8
作者：
K. C. Ho;G. Moody;Chung-Kang Peng;J. Mietus;M. Larson;D. Levy;A. Goldberger
通讯作者：
K. C. Ho;G. Moody;Chung-Kang Peng;J. Mietus;M. Larson;D. Levy;A. Goldberger
DOI：
10.1152/ajpregu.00661.2002
发表时间：
2003-07-01
影响因子：
2.8
作者：
Aoyagi, N;Ohashi, K;Yamamoto, Y
通讯作者：
Yamamoto, Y