北京生物醫(yī)學(xué)工程

心率變異性短時(shí)分析的非平穩(wěn)性影響研究

The Effects of NonStationary on Short Term Analysis of Heart Rate Variability

作者：崔勝忠黃曉林寧新寶

單位：南京醫(yī)科大學(xué)生理學(xué)系（南京210029）

關(guān)鍵詞：心率變異性；非平穩(wěn)性；頻域分析；樣本熵；基本尺度熵

分類號(hào)：

出版年·卷·期（頁(yè)碼）：2010·29·1（35-38）

摘要：

針對(duì)短時(shí)心率變異性（heart rate variability, HRV）分析在臨床中常常不能得到一致性結(jié)果的情況，研究幾種常用HRV短時(shí)分析參數(shù)受非平穩(wěn)性的影響。通過(guò)幾種參數(shù)與平穩(wěn)性衡量參數(shù)（均值、標(biāo)準(zhǔn)差）的相關(guān)性分析，結(jié)果表明,各短時(shí)參數(shù)在長(zhǎng)時(shí)數(shù)據(jù)中呈現(xiàn)出隨時(shí)間變化的波動(dòng)，其中HFnorm和SE受非平穩(wěn)干擾影響大，LFnorm和BE受非平穩(wěn)干擾影響小。從而推論，非平穩(wěn)干擾是影響短時(shí)HRV分析結(jié)果一致性的一個(gè)原因，盡量排除非平穩(wěn)干擾，嚴(yán)格保證數(shù)據(jù)的可比性前提，可提高其分析結(jié)果的可靠性和一致性；同時(shí)，HRV中的低頻波動(dòng)不只包含了非平穩(wěn)干擾的影響，還蘊(yùn)含了心臟動(dòng)力系統(tǒng)的固有特性，短時(shí)分析參數(shù)由于未能包含這部分低頻信息，所以不能對(duì)心臟動(dòng)力系統(tǒng)提供全面描述，這是導(dǎo)致短時(shí)HRV分析結(jié)果一致性差的另一個(gè)重要原因。

In shortterm analysis of Heart Rate Variability （HRV）, it is hard to get the consistent results. In order to explain this phenomenon, the nonstationary interference on analysis parameters of shortterm HRV has been studied. In virtue of correlation analysis, the results showed that although all the four parameters （HFnorm, LFnorm, SE, BE） considered fluctuate with the lapse of time, only some of them （HFnorm and SE） correlate significantly with nonstationary. Therefore, on the one hand, the consistence of shortterm analysis of HRV is impacted by nonstationary interference, and the equal environmental impacts are prerequisite in collecting HRV data from different subjects to make them comparable. On the other hand, the low frequency fluctuations of HRV contain not only the nonstationary interference, but also the intrinsic cardiac dynamic characteristics. Thus, shortterm analysis methods, which discard absolutely the low frequency components, can not reveal the allsided information of HRV. This is the inherent shortage of shortterm HRV analysis methods, which contributes to the results inconsistence.

參考文獻(xiàn)：

［1］Task Force. Heart rate variability: standard of measurement, physiological interpretation, and clinical use. European Heart Journal, 1996， 17（3）: 354-381.
［2］Ivanov PC, Chen Z, Hu K, et al. Multiscale aspects of cardiac control. Physica A, 2004， 344: 685-704.
［3］Ning XB, Bian CH, Wang J, et al. Research progress in nonlinear analysis of heart electric activities. Chinese Science Bulletin, 2006， 51（4）: 385-393.
［4］Richman JS, Moorman JR. Physiological timeseries analysis using approximate entropy and sample entropy. Am J Physiol Heart Circ Physiol, 2000, 278: 2039-2049.
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