Multiple Sclerosis Classification Using the Local Divergence Exponent: Parameters Selection for State-Space Reconstruction
LDEs calculated with a fixed <i>d<sub>E</sub></i> = 5 and τ = 10 for the norm acceleration from a sternum-placed sensor can best classify pwMS. Using fixed parameters for the state space reconstruction, and consequently LDE calculation, can simplify the implementation of the LDE as a mobility biomarker in MS and provides evidence for future consensus for its calculation.
Authors
- L. Eduardo Cofré Lizama (ORCID: https://orcid.org/0000-0002-3490-4521)
- Tomáš Kalinčík (ORCID: https://orcid.org/0000-0003-3778-1376)
- Maya G. Panisset (ORCID: https://orcid.org/0000-0002-8353-4061)
- Mary P. Galea (ORCID: https://orcid.org/0000-0003-0045-7978)
- Liuhua Peng (ORCID: https://orcid.org/0000-0002-5431-8079)
Institutions
- The Royal Melbourne Hospital (AU)
- The University of Melbourne (AU)
- Swinburne University of Technology (AU)
Publication Details
- Journal
- Sensors
- Published
- 2025-04-30
- DOI
- https://doi.org/10.3390/s25092819
- Citations
- 1
- Primary Topic
- Control Systems and Identification
- Type
- article
- Field-Weighted Citation Impact
- 1.21
Funders
- Multiple Sclerosis Australia