An innovative model based on machine learning and fuzzy logic for tracking lower limb exercises in stroke patients.

Das UC, Le NT, Vitoonpong T, Prapinpairoj C, Anannub K, Akarathanawat W, Chutinet A, Suwanwela NC, Kaewplung P, Chaitusaney S, Benjapolakul W

Open source

DOI
10.1038/s41598-025-90031-1
Published
2025 Apr 2
Container
Scientific reports
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1038/s41598-025-90031-1,
  title = {An innovative model based on machine learning and fuzzy logic for tracking lower limb exercises in stroke patients.},
  author = {Das UC and Le NT and Vitoonpong T and Prapinpairoj C and Anannub K and Akarathanawat W and Chutinet A and Suwanwela NC and Kaewplung P and Chaitusaney S and Benjapolakul W},
  year = {2025},
  journal = {Scientific reports},
  doi = {10.1038/s41598-025-90031-1},
  url = {https://doi.org/10.1038/s41598-025-90031-1}
}

RIS

TY  - JOUR
TI  - An innovative model based on machine learning and fuzzy logic for tracking lower limb exercises in stroke patients.
AU  - Das UC
AU  - Le NT
AU  - Vitoonpong T
AU  - Prapinpairoj C
AU  - Anannub K
AU  - Akarathanawat W
AU  - Chutinet A
AU  - Suwanwela NC
AU  - Kaewplung P
AU  - Chaitusaney S
AU  - Benjapolakul W
PY  - 2025
JO  - Scientific reports
DO  - 10.1038/s41598-025-90031-1
UR  - https://doi.org/10.1038/s41598-025-90031-1
ER  - 

APA

UC, D., NT, L., T, V., C, P., K, A., W, A., A, C., NC, S., P, K., S, C., & W, B. (2025). An innovative model based on machine learning and fuzzy logic for tracking lower limb exercises in stroke patients.. Scientific reports. https://doi.org/10.1038/s41598-025-90031-1

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