Sensitivity of the Wolf’s and Rosenstein’s Algorithms to Evaluate Local Dynamic Stability from Small Gait Data Sets: Response to Commentaries by Bruijn et al.

Authors

Fabien Cignetti, University of Nebraska at Omaha
Leslie M. Decker, University of Nebraska at Omaha
Nikolaos Stergiou, University of Nebraska at OmahaFollow

Document Type

Article

Publication Date

12-2012

Abstract

Assessing gait stability using the Largest Lyapunov Exponent (λ₁) has become popular, especially because it may be a key measure in evaluating gait abnormalities in patient populations. However, clinical settings usually involve having small gait data sets and accurate determination of λ₁ estimates from such sets is difficult. In an effort to address this issue, Cignetti et al.2 recently identified that λ₁ estimates using the algorithm of Wolf et al.9 (W-algorithm) were more sensitive than those using the algorithm of Rosenstein et al.7 (R-algorithm) in order to capture age-related decline in gait stability from small data sets. Thus, they advocated the use of the former algorithm. Some concerns about the study were expressed afterwards by Bruijn et al.1 and we welcome the opportunity to discuss them in the present letter.

Comments

The final publication is available at Springer via http://link.springer.com/article/10.1007%2Fs10439-012-0665-6.

Journal Title

Annals of Biomedical Engineering

Volume

40

Issue

12

First Page

2507

Last Page

2509

Recommended Citation

Cignetti, Fabien; Decker, Leslie M.; and Stergiou, Nikolaos, "Sensitivity of the Wolf’s and Rosenstein’s Algorithms to Evaluate Local Dynamic Stability from Small Gait Data Sets: Response to Commentaries by Bruijn et al." (2012). Journal Articles. 73.
https://digitalcommons.unomaha.edu/biomechanicsarticles/73