A Riemannian multimodal representation to classify parkinsonism-related patterns from noninvasive observations of gait and eye movements.

Archila J, Manzanera A, Martínez F

DOI: 10.1007/s13534-024-00420-0
Published: 2025 Jan
Container: Biomedical engineering letters
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1007/s13534-024-00420-0,
  title = {A Riemannian multimodal representation to classify parkinsonism-related patterns from noninvasive observations of gait and eye movements.},
  author = {Archila J and Manzanera A and Martínez F},
  year = {2025},
  journal = {Biomedical engineering letters},
  doi = {10.1007/s13534-024-00420-0},
  url = {https://doi.org/10.1007/s13534-024-00420-0}
}

RIS

TY  - JOUR
TI  - A Riemannian multimodal representation to classify parkinsonism-related patterns from noninvasive observations of gait and eye movements.
AU  - Archila J
AU  - Manzanera A
AU  - Martínez F
PY  - 2025
JO  - Biomedical engineering letters
DO  - 10.1007/s13534-024-00420-0
UR  - https://doi.org/10.1007/s13534-024-00420-0
ER  -

APA

J, A., A, M., & F, M. (2025). A Riemannian multimodal representation to classify parkinsonism-related patterns from noninvasive observations of gait and eye movements.. Biomedical engineering letters. https://doi.org/10.1007/s13534-024-00420-0

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pubmed · retrieved 2026-09-26T22:06:01.908Z