A wearable motion capture suit and machine learning predict disease progression in Friedreich's ataxia.
- DOI
- 10.1038/s41591-022-02159-6
- Published
- 2023 Jan
- Container
- Nature medicine
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41591-022-02159-6,
title = {A wearable motion capture suit and machine learning predict disease progression in Friedreich's ataxia.},
author = {Kadirvelu B and Gavriel C and Nageshwaran S and Chan JPK and Nethisinghe S and Athanasopoulos S and Ricotti V and Voit T and Giunti P and Festenstein R and Faisal AA},
year = {2023},
journal = {Nature medicine},
doi = {10.1038/s41591-022-02159-6},
url = {https://doi.org/10.1038/s41591-022-02159-6}
}RIS
TY - JOUR TI - A wearable motion capture suit and machine learning predict disease progression in Friedreich's ataxia. AU - Kadirvelu B AU - Gavriel C AU - Nageshwaran S AU - Chan JPK AU - Nethisinghe S AU - Athanasopoulos S AU - Ricotti V AU - Voit T AU - Giunti P AU - Festenstein R AU - Faisal AA PY - 2023 JO - Nature medicine DO - 10.1038/s41591-022-02159-6 UR - https://doi.org/10.1038/s41591-022-02159-6 ER -
APA
B, K., C, G., S, N., JPK, C., S, N., S, A., V, R., T, V., P, G., R, F., & AA, F. (2023). A wearable motion capture suit and machine learning predict disease progression in Friedreich's ataxia.. Nature medicine. https://doi.org/10.1038/s41591-022-02159-6
Source records
- pubmed · retrieved 2026-09-26T23:53:13.268Z