Complex feature analysis of center of pressure signal for age-related subject classification
| Author | omid khayat | en |
| Author | Fereidoun Nowshiravan-Rahatabad | en |
| Issued Date | 2014-03-31 | en |
| Abstract | Materials and Methods: The elderly individuals’ behavior during standing and how demanding such a task is for them, is still unknown. We recorded the center of pressure (COP) position of 12 elder and 15 young participants while they were standing for 30 seconds. Then an analysis was performed to find the most appropriate and discriminative features for the elderly and young posture signals discrimination. Features were selected in frequency and time domain. Largest Lyapunov exponents of the COP signals were also computed to show the impact of chaotic behavior in static balance characterization relative to age. | en |
| DOI | https://doi.org/ | en |
| Keyword | static balance | en |
| Keyword | center of pressure | en |
| Keyword | age relation | en |
| Keyword | largest Lyapunov exponent | en |
| Keyword | feature extraction | en |
| Publisher | Brieflands | en |
| Title | Complex feature analysis of center of pressure signal for age-related subject classification | en |
| Type | Research Article | en |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- Ann Mil Health Sci Res-v12n1p1-fa.pdf
- Size:
- 452.27 KB
- Format:
- Adobe Portable Document Format
- Description:
- Article/s PDF