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Related Experiment Video

Updated: Mar 7, 2026

Author Spotlight: Assessing Brain Activity in Robotic-Assisted Lower Limb Rehabilitation Using fNIRS
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Technologies Solutions Schemes for Patients' Rehabilitation. Methodologies, Models and Algorithms.

Habib M Fardoun1, Abdulfattah S Mashat

  • 1Habib M. Fardoun, Information Systems Department, Faculty of Computing and Information Technology, King Abdulaziz University (KAU), Jeddah, Kingdom of Saudi Arabia,

Methods of Information in Medicine
|March 1, 2017
PubMed
Summary

This editorial highlights innovative Information and Communication Technologies (ICT) solutions for patient rehabilitation. It explores advanced methodologies and algorithms to enhance recovery and daily living for individuals with physical incapacities.

Keywords:
Training tools for rehabilitationcommunications aidsgait rehabilitationmulti-user systems for user interactionrehabilitation roboticsrhythmic rehabilitationvirtual humansvirtual rehabilitation

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Area of Science:

  • Medical Informatics
  • Rehabilitation Engineering
  • Human-Computer Interaction

Background:

  • Focuses on the "Technologies solutions schemes for Patients' Rehabilitation: Methodologies, Models and Algorithms" theme.
  • Explores innovative Information and Communication Technologies (ICT) and human factors in patient recovery.
  • Reviews existing research, tools, methodologies, models, and algorithms for rehabilitation.

Discussion:

  • Examines the application of sophisticated ICT in patient rehabilitation.
  • Investigates how ICT can improve healthcare and recovery processes.
  • Highlights the integration of human factors with technological solutions.

Key Insights:

  • Presents various research works and ICT-based solutions for rehabilitation.
  • Demonstrates ICT's role in improving physical rehabilitation processes.
  • Showcases tools designed to aid individuals with physical incapacities in daily life.

Outlook:

  • Suggests future directions for ICT in rehabilitation.
  • Emphasizes the potential of advanced technologies to transform patient care.
  • Encourages further research into innovative rehabilitation methodologies.