Wearable gait analysis for differentiating progressive supranuclear palsy and Parkinson’s disease: Clinically interpretable digital biomarkers using machine learning
- DOI
- 10.1016/j.gaitpost.2026.110610
- Published
- 2026-10
- Container
- Gait & Posture
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.gaitpost.2026.110610,
title = {Wearable gait analysis for differentiating progressive supranuclear palsy and Parkinson’s disease: Clinically interpretable digital biomarkers using machine learning},
author = {Maryam Sadeghi and Ehsan Barouti and Kelly E. Lyons and Rajesh Pahwa and Abiodun Akinwuntan and Jeffrey Thompson and Sanghee Moon and Hannes Devos},
year = {2026},
journal = {Gait \& Posture},
doi = {10.1016/j.gaitpost.2026.110610},
url = {https://doi.org/10.1016/j.gaitpost.2026.110610}
}RIS
TY - JOUR TI - Wearable gait analysis for differentiating progressive supranuclear palsy and Parkinson’s disease: Clinically interpretable digital biomarkers using machine learning AU - Maryam Sadeghi AU - Ehsan Barouti AU - Kelly E. Lyons AU - Rajesh Pahwa AU - Abiodun Akinwuntan AU - Jeffrey Thompson AU - Sanghee Moon AU - Hannes Devos PY - 2026 JO - Gait & Posture DO - 10.1016/j.gaitpost.2026.110610 UR - https://doi.org/10.1016/j.gaitpost.2026.110610 ER -
APA
Sadeghi, M., Barouti, E., Lyons, K. E., Pahwa, R., Akinwuntan, A., Thompson, J., Moon, S., & Devos, H. (2026). Wearable gait analysis for differentiating progressive supranuclear palsy and Parkinson’s disease: Clinically interpretable digital biomarkers using machine learning. Gait & Posture. https://doi.org/10.1016/j.gaitpost.2026.110610
Source records
- crossref · retrieved 2026-09-26T12:09:00.438Z