• DocumentCode
    557466
  • Title

    Recurrence quantification analysis of age effects on sustained sub-maximal grip contractions

  • Author

    Li, Ke ; Hewson, David ; Duchêne, Jacques ; Hogrel, Jean-Yves

  • Author_Institution
    Dept. of Biomed. Eng., Shandong Univ., Jinan, China
  • Volume
    2
  • fYear
    2011
  • fDate
    15-17 Oct. 2011
  • Firstpage
    836
  • Lastpage
    840
  • Abstract
    Recurrence quantification analysis (RQA) was used to analyze signals of sustained sub-maximal grip contraction (SSGC) of healthy subjects across several age groups. Recurrence plots (RP) of elderly subject showed clear periodic pattern combined with disrupted features in some parts, in comparison to control subjects who displayed quasi-periodic patterns. Quantitative analysis of the RP showed significant differences between elderly subjects and the control group for RQA parameters. The results showed that the SSGC signals of the elderly and adolescents had decreased RQA parameters, which indicated more chaotic patterns. In addition the deterministic component of the signals was less complex for the elderly and adolescents than for controls. Results of this study illustrate that the RQA technique is well suited to analyze age-related effects on sustained grip-force signals.
  • Keywords
    age issues; geriatrics; medical signal processing; adolescents; age-related effects; chaotic patterns; elderly subject; quasiperiodic patterns; recurrence quantification analysis; sustained grip-force signals; sustained sub-maximal grip contractions; Aging; Complexity theory; Fatigue; Force; Muscles; Physiology; Senior citizens; ageing; recurrence plot; recurrence quantification analysis; sustained sub-maximal grip contraction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Informatics (BMEI), 2011 4th International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-9351-7
  • Type

    conf

  • DOI
    10.1109/BMEI.2011.6098453
  • Filename
    6098453