Relation Between Scalp Potential and Heart Rate Variability Based on Power Spectral Analysis

于晓琳; 张建保; 王珏

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Relation Between Scalp Potential and Heart Rate Variability Based on Power Spectral Analysis

更新时间：2025-12-08

- Relation Between Scalp Potential and Heart Rate Variability Based on Power Spectral Analysis
- Vol. 41, Issue 8, Pages: 991-994(2007)
- 作者机构：
  
  西安交通大学生物医学信息工程教育部重点实验室,西安,710049
- 作者简介：
- 基金信息：
- DOI：
  CLC： R318.04
- Online First：10 August 2007，
  
  Published：2007
- 稿件说明：
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于晓琳, 张建保, 王珏. Relation Between Scalp Potential and Heart Rate Variability Based on Power Spectral Analysis[J]. 2007, 41(8): 991-994.
DOI：

于晓琳, 张建保, 王珏. Relation Between Scalp Potential and Heart Rate Variability Based on Power Spectral Analysis[J]. 2007, 41(8): 991-994. DOI：

摘要

通过对数学运算任务中头皮脑电信号和心率变异性的功率谱分析

研究了头皮脑电活动和心脏自主神经活动的关系.实验显示:数学运算过程中心率明显增加(P<0.01)

心率变异性功率谱总能量减少(P<0.05)

归一化高频功率明显降低(P<0.01)

归一化低频功率明显升高(P<0.01); 数算时脑电信号的α节律相对功率显著降低(P<0.05)

θ节律谱能量值显著增加(P<0.05)

相关分析显示F8、FT8、C4、P4和T8导脑电信号的θ节律功率谱能量值与心率变异性谱成分具有显著相关性(P<0.05).结果表明

数算任务中大脑有意识的精神活动增多

大脑中枢神经活动减少与心脏自主神经活动有关

脑中央前回、顶区和颞叶通过增加交感神经活动和减少迷走神经的作用来影响心率

它们在调节心脏自主神经活动中起重要作用.

Abstract

The relation between scalp activity and cardiac automatic nervous system during a mental arithmetic(MA)task is explored with the power spectrum of electroencephalogram(EEG)and heart rate variability. The results show that heart rate increases(P<0.05)

total power reduces(P<0.05)

the normalized high frequency power component decreases(P<0.01)and the normalized low frequency power component increases(P<0.01)during MA task

so MA task weakens the cardiac sympathetic activity and enhances parasympathetic activity. And the average relative power in α rhythm of EEG decreases and the θ rhythm of EEG increases significantly(P<0.05). There are obvious correlations between θ rhythm of EEG for F8

FT8

P4 and T8 channels and heart rate variability(P<0.05). It is noted that cerebral conscious activity increases and central decreases with parasympathetic activity decreasing and sympathetic activity increasing

and the pre-central

parietal lobe and temporal scalp influence heart rate by virtue of increasing sympathetic effects and decreasing parasympathetic effects

which plays an important role in cardiac autonomic regulation.

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references

Stoudemire A, McDaniel J S. Psychological factors affecting medical conditions [C]∥Comprehensive Textbook of Psychiatry. Philadelphia: Lippincott Williams & Wilkins, 2000: 1765-1775.

Westerhaus M J, Loewy A D. Central representation of the sympathetic nervous system in the cerebral cortex [J]. Brain Research, 2001, 903(1/2):117-127.

Gianaros P J, van der Veen F M, Richard Jennings J. Regional cerebral blood flow correlates with heart period and high-frequency heart period variability during working-memory tasks: implications for the cortical and subcortical regulation of cardiac autonomic activity [J]. Psychophysiology, 2004, 41(4): 521-530.

Tanida M, Sakatani K, Takano R, et al. Relation between asymmetry of prefrontal cortex activities and the autonomic nervous system during a mental arithmetic task: near infrared spectroscopy study [J]. Neuroscience Letters, 2004, 369(1): 69-74.

Verberne A J, Owens N C. Cortical modulation of the cardiovascular system [J]. Prog Neurobiology, 1998, 54(2): 149-168.

肖冬萍. 心率变异信号临床分析技术的研究 [D]. 重庆:重庆大学电气工程学院, 2004.

王兴元. 复杂非线性系统中的混沌 [M]. 北京:电子工业出版社, 2003:130-133.

Mateo J, Laguna P. Improved heart rate variability signal analysis from the beat occurrence times according to the IPFM model [J]. IEEE Transactions on Biomedical Engineering, 2000, 47(8): 985-996.

Malliani A, Pagani M, Lombardi F, et al. Cardiovascular neural regulation explored in the frequency domain [J]. Circulation, 1991, 84(2): 1482-1492.

刘曾荣, 文铁桥, 姚晓东. 脑与非线性动力学 [M]. 北京:科学出版社, 2006: 54-57.

Bailey J R, Fitzgerald D M, Applegate R J. Effects of constant cardiac autonomic nerve stimulation on heart rate variability [J]. Am J Physiology, 1996, 270(Suppl): 2081-2087.

乔治•阿德尔曼. 神经科学百科全书 [M]. 翻译编辑委员会,译. 上海: 伯克豪伊萨尔出版社和上海科学技术出版社联合出版, 1992.

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