A non-invasive method for prediction of neurodegenerative diseases using gait signal features.
- DOI
- 10.1016/j.procs.2023.01.131
- Published
- 2023
- Container
- Procedia computer science
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.procs.2023.01.131,
title = {A non-invasive method for prediction of neurodegenerative diseases using gait signal features.},
author = {Syam V and Safal S and Bhutia O and Singh AK and Giri D and Bhandari SS and Panigrahi R},
year = {2023},
journal = {Procedia computer science},
doi = {10.1016/j.procs.2023.01.131},
url = {https://doi.org/10.1016/j.procs.2023.01.131}
}RIS
TY - JOUR TI - A non-invasive method for prediction of neurodegenerative diseases using gait signal features. AU - Syam V AU - Safal S AU - Bhutia O AU - Singh AK AU - Giri D AU - Bhandari SS AU - Panigrahi R PY - 2023 JO - Procedia computer science DO - 10.1016/j.procs.2023.01.131 UR - https://doi.org/10.1016/j.procs.2023.01.131 ER -
APA
V, S., S, S., O, B., AK, S., D, G., SS, B., & R, P. (2023). A non-invasive method for prediction of neurodegenerative diseases using gait signal features.. Procedia computer science. https://doi.org/10.1016/j.procs.2023.01.131
Source records
- pubmed · retrieved 2026-09-24T21:54:16.279Z