Recurrence quantification analysis of age effects on sustained sub-maximal grip contractions
- Ke Li(corresponding author),
- ,
- Jacques Duchêne,
- Jean Yves Hogrel
- Shandong University,
- Université de technologie de Troyes,
- Sorbonne Université
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.
Publication Information
Output type
Original language
EnglishArticle number
6098453Pages from-to (Number of pages)
Pages 836-840 (5 pages)Publication milestones
- Published - 12/12/2011
Publication status
Publisher
IEEE Computer Society, United StatesPublication series
- Publication series name: Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011
Volume: 2
ISBN (Print)
9781424493524Publication IDs
- Scopus: 84855768866
