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麻醉期心率变异性的分形特性分析 被引量:2
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作者 刘晓芳 徐文龙 +1 位作者 陈武 叶志前 《生物医学工程学杂志》 EI CAS CSCD 北大核心 2006年第3期492-495,共4页
采用关联维数、分形维数、尺度指数分析38例受试者麻醉期心率变异性信号的分形特性。结果表明:麻醉期心搏周期有显著性的分形特性变化,麻醉状态下心率变异性信号的关联维数(P<0.000001)明显低于清醒状态,而短时程尺度指数α1(P<0.... 采用关联维数、分形维数、尺度指数分析38例受试者麻醉期心率变异性信号的分形特性。结果表明:麻醉期心搏周期有显著性的分形特性变化,麻醉状态下心率变异性信号的关联维数(P<0.000001)明显低于清醒状态,而短时程尺度指数α1(P<0.0001)显著性地高于清醒状态。说明了麻醉期心率变异性信号的分形特性有明显地变化,提示运用非趋势波动分析方法分析麻醉期心率变异性信号的分形特性更适合于临床麻醉深度监测。 展开更多
关键词 心率变异性 麻醉深度 分形特性分析
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麻醉期心率变异性的分形特性分析
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作者 刘晓芳 叶志前 刘群芳 《医学与工程》 2004年第1期10-13,25,共5页
采用关联维数、分形维数、尺度指数分析38例受试者麻醉期心率变异性信号的分形特性。结果表明:麻醉期心搏周期有显著性的分形特性变化,麻醉状态下心率变异性信号的关联维数(P<0.0001)明显低于清醒状态,而短时程尺度指数α1(P<... 采用关联维数、分形维数、尺度指数分析38例受试者麻醉期心率变异性信号的分形特性。结果表明:麻醉期心搏周期有显著性的分形特性变化,麻醉状态下心率变异性信号的关联维数(P<0.0001)明显低于清醒状态,而短时程尺度指数α1(P<0.0001)显著性地高于清醒状态。说明了麻醉期心率变异性信号的分形特性有明显地变化,提示了运用非趋势波动分析方法分析麻醉期心率变异性信号的分形特性更适合于临床麻醉深度监测。 展开更多
关键词 麻醉期 心率变异性 分形特性分析 关联维数
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心脑疾病对同步十二导联心电图多重分形谱的影响
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作者 徐寅林 宁新宝 王俊 《生物医学工程学杂志》 EI CAS CSCD 北大核心 2005年第4期677-680,共4页
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... 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。 展开更多
关键词 ECG 多重分形 离散度 十二导联心电图 多重分形 心脑疾病 同步 心脏组织结构 分形特性分析 神经控制
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Fractal characterization for the mining crack evolution process of overlying strata based on microseismic monitoring technology 被引量:4
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作者 Liu Chao Xue Junhu +1 位作者 Yu Guofeng Cheng Xiaoyu 《International Journal of Mining Science and Technology》 SCIE EI CSCD 2016年第2期295-299,共5页
In order to study the evolution laws during the development process of the coal face overburden rock mining-induced fissure,we studied the process of evolution of overburden rock mining-induced fissures and dynamicall... In order to study the evolution laws during the development process of the coal face overburden rock mining-induced fissure,we studied the process of evolution of overburden rock mining-induced fissures and dynamically quantitatively described its fractal laws,based on the high-precision microseismic monitoring method and the nonlinear Fractal Geometry Theory.The results show that:the overburden rock mining-induced fissure fractal dimension experiences two periodic change processes with the coal face advance,namely a Small→ Big→ Small process,which tends to be stable;the functional relationship between the extraction step distance and the overburden rock mining-induced fissure fractal dimension is a cubic curve.The results suggest that the fractal dimension reflects the evolution characteristics of the overburden rock mining-induced fissure,which can be used as an evaluation index of the stability of the overburden rock strata,and it provides theoretical guidance for stability analysis of the overburden rock strata,goaf roof control and the support movements in the mining face. 展开更多
关键词 Microseismic monitoring technology Fractal characterization Mining crack Evolution law Overlying strata
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Morphological Study of Ficus deltoidea Jack in Malaysia
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作者 Nor Asiah Awang Sayed M.Zain Hasan Mohammad Shafie B.Shafie 《Journal of Agricultural Science and Technology(B)》 2013年第2期144-150,共7页
Ficus deltoidea Jack (Moraceae) or Mas Cotek is a small shrub with a great morphological variation. Measurement of 40 morphological traits had been done on 50 accessions to find the most significant characters that ... Ficus deltoidea Jack (Moraceae) or Mas Cotek is a small shrub with a great morphological variation. Measurement of 40 morphological traits had been done on 50 accessions to find the most significant characters that enable differentiation being done according to its variety groups. The data were analyzed with principal component analysis (PCA) and cluster analysis (CA) using cluster software package programme to produce the scatter diagram and dendrogram relationship of the taxa. The results showed that there were 25 morphological characters having the value of factor analysis greater than 0.60 from its principal component (PC) with the Eigen value greater than 1.0. 16 out of 40 morphological characters had been identified as having high values of correlation coefficient ranging from -0.783 to 0.890. The analysis showed that the most responsible characters in grouping the samples into different groups are the shape and size of leaf, number and color of dots on the leaf surface and characters of syconium. The scatter diagram of the accessions on the PC1 against PC2 showed six major groups. The dendrogram displayed the relationship among the accessions and within the dissimilarity distance = 19, it classified the samples into five major groups. Observation on F. deltoidea resulted in the findings of high variability among the accessions. The most significant characters in grouping accessions are the shapes of leaf base (BL), shape of leaf apex (SA), ratio of lamina width to lamina length (R), dots color at the lower midrib (DLM), color of young syconium (CYS), color of mature syconium (CMS) and the number of syconium on trees (DST). This study provides basic information for introduction of some particular traits and effective conservation of the species breeding programme. The morphological traits were found to be useful for the diversity studies and in identifying the variation. The actual figures of F. deltoidea obtained through this study enable comparison being done to the previous and in future study. Hence, the varieties that are extinct could be recognised. 展开更多
关键词 Ficus deltoidea cluster analysis DIVERSITY morphological variability principal component analysis
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Joint Multifractal Analysis of Scaling Relationships Between Soil Water-Retention Parameters and Soil Texture 被引量:2
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作者 WANG Zheng-Ying SHU Qiao-Sheng +2 位作者 XIE Li-Ya LIU Zuo-Xin B. C. SI 《Pedosphere》 SCIE CAS CSCD 2011年第3期373-379,共7页
Soil water-retention characteristics at measurement scales are generally different from those at application scales, and there is scale disparity between them and soil physical properties. The relationships between tw... Soil water-retention characteristics at measurement scales are generally different from those at application scales, and there is scale disparity between them and soil physical properties. The relationships between two water-retention parameters, the scaling parameter related to the inverse of the air-entry pressure (avG, cm- 1) and the curve shape factor related to soil pore-size distribution (n) of the van Genuchten water-retention equation, and soil texture (sand, silt, and clay contents) were examined at multiple scales. One hundred twenty-eight undisturbed soil samples were collected from a 640-m transect located in Fuxin, China. Soil water-retention curves were measured and the van Genuchten parameters were obtained by curve fitting. The relationships between the two parameters and soil texture at the observed scale and at multiple scales were evaluated using Pearson correlation and joint multifractal analyses, respectively. The results of Pearson correlation analysis showed that the parameter c^vG was significantly correlated with sand, silt, and clay contents at the observed scale. Joint multifractal analyses, however, indicated that the parameter ~vG was not correlated with silt and sand contents at multiple scales. The parameter n was positively correlated with clay content at multiple scales. Sand content was significantly correlated with the parameter n at the observed scale but not at multiple scales. Clay contents were strongly correlated to both water-retention parameters because clay content was relatively low in the soil studied, indicating that water retention was dominated by clay content in the field of this study at all scales. These suggested that multiple-scale analyses were necessary to fully grasp the spatial variability of soil water-retention characteristics. 展开更多
关键词 clay content multiple-scale analysis sand content silt content van Genuchten parameters
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