不同频段功率谱熵及其在心电分析中的应用  

Power Spectral Entropy of Various Frequency Segments and Its Application to Analysis Electrocardiogram

作　　者：张佃中[1] 谭小红[2] 刘昭前[3] 

机构地区：[1]中南大学数学科学与计算技术学院,湖南长沙410083 [2]中南大学物理科学与技术学院,湖南长沙410083 [3]中南大学临床药理研究所,湖南长沙410078

出　　处：《湖南大学学报（自然科学版）》2007年第2期75-79,共5页Journal of Hunan University:Natural Sciences

基　　金：国家自然科学基金资助项目(30572230)

摘　　要：为了探究频域信号的有用信息，提出了将不同频段的谱功率作为一个独立的信源计算其信息熵的新方法．以年轻（21～34岁）与年老（68～81岁）二组健康人及一组心率不齐患者（66～89岁）的心电图（ECG）为实验数据，根据其频域特征选取多个不同频段计算功率谱熵．结果表明，在0．7～1．5Hz和1．5～5Hz频段内的ECG功率谱熵，年轻健康组明显大于年老健康组（P〈0．01，P〈0．001），年老健康组明显小于其年龄相近的心率不齐病人组（P〈0．001，P〈0．001），用全频段分割法也得出了类似的结果．不同频段的功率谱熵是分析ECG信号的有效指标．In order to explore the useful information of frequency-domain signals, a new method was proposed, in which the spectral power of various frequency segments was taken as an independent information source to calculate its information entropy. The electrocardiograms （ECGs） were used as the experimental data, which were collected from young （21-34 yr） and elderly （68-81 yr） groups of healthy subjects, as well as a group of arrhythmia patients （66-89yr）. Based on the ECG＇s features of frequency-domain, we chose multiple various frequency segments and calculated their power spectral entropy（PSE）. The results showed that the PSEs of ECGs within 0.7 - 1.5 Hz and 1.5 - 5 Hz were obviously greater in the young group than the elderly healthy group （P〈 0.01, P 〈 0. 001）, but were obviously less in the elderly healthy group than in the arrhythmia patient group of similar age （P 〈 0. 001, P 〈 0. 001）. Similar results could be obtained by dividing up the whole frequency segment. The PSE of various frequency segments was an available index to analyze ECG signals.

关 键 词：熵 心电图 频域 信源 功率谱 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]