Quantifying arm swing in Parkinson’s disease: a method accounting for arm activities during free-living gait
Filtering out gait segments with other concurrent arm activities is feasible and increases the change in arm swing parameters following dopaminergic medication in free-living conditions. This approach may be used to monitor treatment effect and disease progression in daily life.
Authors
- Tom Heskes (ORCID: https://orcid.org/0000-0002-3398-5235)
- Max A. Little (ORCID: https://orcid.org/0000-0002-1507-3822)
- Twan van Laarhoven (ORCID: https://orcid.org/0000-0001-7597-0579)
- Erik Post (ORCID: https://orcid.org/0000-0002-1937-9976)
- Luc J. W. Evers (ORCID: https://orcid.org/0000-0002-8241-5087)
- Bastiaan R. Bloem (ORCID: https://orcid.org/0000-0002-6371-3337)
- Jorik Nonnekes (ORCID: https://orcid.org/0000-0003-2434-1427)
- Yordan P. Raykov (ORCID: https://orcid.org/0000-0003-0753-717X)
Institutions
- University of Nottingham (GB)
- Radboud University Nijmegen (NL)
- Radboud University Medical Center (NL)
- University of Birmingham (GB)
Publication Details
- Journal
- Journal of NeuroEngineering and Rehabilitation
- Published
- 2025-02-26
- DOI
- https://doi.org/10.1186/s12984-025-01578-z
- Citations
- 3
- Primary Topic
- Balance, Gait, and Falls Prevention
- Type
- article
- Field-Weighted Citation Impact
- 14.28
Funders
- Michael J. Fox Foundation for Parkinson's Research
- Netherlands eScience Center
- Verily Life Sciences
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek
- Ministerie van Economische Zaken en Klimaat
- Topconsortium voor Kennis en Innovatie