【摘要】 对心脑疾病人群的同步十二导联ECG(心电图)进行多重分形特性分析,发现不同导联的多重分形曲线互不重叠。计算其十二导联平均的多重分形奇异强度分布范围以及分布范围的十二个导联间的离散特性,发现不同人群中存在互为交叉而有明显不同的结果。用十二导联多重分形Δα的平均值Δα及其离散度δα(取Δα的标准差)两个参量来描述其多重分形谱特征。发现健康人与心脏病人Δα接近,但δα相差较大;健康人与脑损伤患者δα接近,但Δα相差较大。预示着多重分形特性受到神经自律和心脏组织结构的自谐特性的双重控制,特征参数Δα与神经控制相对应,δΔ与心脏组织结构自谐特性的各向异性相对应。更多还原

【Abstract】 We analyzed the multifractal singularity spectrum of synchronous 12-lead ECG (electroca- rdiogram) signals from heart and brain disease patients, and found that multifractal curves of different leads do not overlap each other. After calculating the scope of the singularity strength, we noticed that the averages of scope are not the same in different subjects,and the dispersing degree is also different in someone’s different leads. Both the Δα [TX-], the average of the Δα , and the dispersing degree δ_α(be defined as standard deviation) of the Δα of every one’s 12-lead ECG were computed. Then, a comparison was made between the spectrum of the healthy subjects and the heart disease patients. The results showed that their Δα [TX-] are close, but their δ_α are markedly different.Also the healthy subjects and brain disease patients were compared,we found that their δ_α are close, but their Δα [TX-] are markedly different. These indicate that the character of multifractal spectrum is controlled by both the neurosystem of body and the self-syntonic property of cardiac structures. Furthermore, the Δα [TX-] is related with the neuroautonomic control of people’s body on the ECG, and the δ_α is related with the anisotropy of the heterogeneous tissue and the electric signal propagation in heart.更多还原