Efficient EOG-based movement classification in IoMT using machine learning algorithms for people with motor disabilities
- DOI
- 10.1080/17483107.2025.2599995
- Published
- 2026-04-21
- Container
- Disability and Rehabilitation: Assistive Technology
- Publisher
- Informa UK Limited
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1080/17483107.2025.2599995,
title = {Efficient EOG-based movement classification in IoMT using machine learning algorithms for people with motor disabilities},
author = {Saly Abd-Elateif El-Gindy and Walid El-Shafai and Naglaa F. Soliman and Reem Alkanhel and Abeer D. Algarni and Fathi E. Abd El-Samie},
year = {2026},
journal = {Disability and Rehabilitation: Assistive Technology},
doi = {10.1080/17483107.2025.2599995},
url = {https://doi.org/10.1080/17483107.2025.2599995}
}RIS
TY - JOUR TI - Efficient EOG-based movement classification in IoMT using machine learning algorithms for people with motor disabilities AU - Saly Abd-Elateif El-Gindy AU - Walid El-Shafai AU - Naglaa F. Soliman AU - Reem Alkanhel AU - Abeer D. Algarni AU - Fathi E. Abd El-Samie PY - 2026 JO - Disability and Rehabilitation: Assistive Technology DO - 10.1080/17483107.2025.2599995 UR - https://doi.org/10.1080/17483107.2025.2599995 ER -
APA
El-Gindy, S. A., El-Shafai, W., Soliman, N. F., Alkanhel, R., Algarni, A. D., & El-Samie, F. E. A. (2026). Efficient EOG-based movement classification in IoMT using machine learning algorithms for people with motor disabilities. Disability and Rehabilitation: Assistive Technology. https://doi.org/10.1080/17483107.2025.2599995
Source records
- crossref · retrieved 2026-09-26T06:41:23.377Z