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Recurrence quantification analysis of sustained sub-maximal grip contractions in patients with various metabolic muscle disorders

机译:各种代谢性肌肉疾病患者持续性最大握力收缩的复发定量分析

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摘要

Recurrence quantification analysis (RQA) was used to analyse force signals during sustained sub-maximal grip contraction (SSGC) of three types of patients suffering from a metabolic muscle disorder (glycogen storage disease type Ⅲ (GSD Ⅲ), glycogen storage disease type V (GSD V) and mitochondrial myopathies (MITO)) compared to control subjects. Recurrence plots (RP) of patients showed clear non-uniformity, in comparison to control subjects who displayed quasi-periodic patterns. Quantitative analysis of the RP showed significant differences between patients with metabolic disorders and the control group for four RQA parameters. The results showed that the SSGC signals of patients had decreased L_(max), which indicated more chaotic patterns. In addition the deterministic component of the signals was less complex for patients than for controls. The differences of SSGC signal observed using RP and RQA were possibly related to the underlying changes in metabolism of muscle fibres due to the disease. Results of this study illustrate that the RQA technique is well suited to analyse sustained grip-force signals.
机译:递归定量分析(RQA)用于分析三种类型的代谢性肌肉疾病(糖原贮积病Ⅲ型(GSDⅢ),糖原贮积病V型(与对照组相比,GSD V)和线粒体肌病(MITO)。与显示准周期模式的对照组相比,患者的复发图(RP)显示出明显的不均匀性。 RP的定量分析显示,代谢障碍患者和对照组在四个RQA参数方面存在显着差异。结果表明,患者的SSGC信号的L_(max)降低,这表明出现了更多的混乱模式。另外,对于患者而言,信号的确定性成分不如对对照组复杂。使用RP和RQA观察到的SSGC信号差异可能与疾病引起的肌肉纤维代谢的潜在变化有关。这项研究的结果表明,RQA技术非常适合分析持续的握力信号。

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  • 来源
    《Biomedical signal processing and control》 |2011年第1期|p.70-76|共7页
  • 作者单位

    Institut Charles Delaunay, UMR CNRS 6279, Universite de Technologie de Troyes, BP2060, WOW Troyes, France,School of Control Science and Engineering, Shandong University, 73Jingshi Ave, 250061 Jinan, China;

    Institut Charles Delaunay, UMR CNRS 6279, Universite de Technologie de Troyes, BP2060, WOW Troyes, France;

    Institut Charles Delaunay, UMR CNRS 6279, Universite de Technologie de Troyes, BP2060, WOW Troyes, France;

    Institut Charles Delaunay, UMR CNRS 6279, Universite de Technologie de Troyes, BP2060, WOW Troyes, France;

    Institut de Myologie, Universite Paris 6 UMR S974, Inserm U974, CNRS UMR 7215, CH Pitie-Salpetriere, 75651 Paris Cedex 13, France;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Strength; Metabolic muscle disorders; Nonlinear analysis; Chaos theory; Recurrence quantification;

    机译:强度;代谢性肌肉疾病;非线性分析;混沌理论;循环量化;

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