Efficient EOG-based movement classification in IoMT using machine learning algorithms for people with motor disabilities.

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Bibliographic Details
Title: Efficient EOG-based movement classification in IoMT using machine learning algorithms for people with motor disabilities.
Authors: El-Gindy SA; High Institute for Engineering & Technology-Al Obour, Al Obour City, Egypt., El-Shafai W; Automated Systems and Computing Lab (ASCL), Prince Sultan University, Riyadh, Saudi Arabia., Soliman NF; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia., Alkanhel R; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia., Algarni AD; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia., Abd El-Samie FE; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
Source: Disability and rehabilitation. Assistive technology [Disabil Rehabil Assist Technol] 2026 Apr 21, pp. 1-43. Date of Electronic Publication: 2026 Apr 21.
Publication Type: Journal Article
Journal Info: Publisher: Informa Healthcare Country of Publication: England NLM ID: 101255937 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1748-3115 (Electronic) Linking ISSN: 17483107 NLM ISO Abbreviation: Disabil Rehabil Assist Technol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1748-3115
DOI:10.1080/17483107.2025.2599995