I-BaR: integrated balance rehabilitation framework.

Tugce Ersoy, P��nar Kaya, Elif Hocaoglu, Ramazan Unal
Author Information
  1. Tugce Ersoy: Department of Mechanical Engineering, Human-Centered Design Laboratory, Ozyegin University, Istanbul, T��rkiye.
  2. P��nar Kaya: Department of Physiotherapy and Rehabilitation, Istanbul Medipol University, Istanbul, T��rkiye.
  3. Elif Hocaoglu: Department of Electrical and Electronics Engineering, Living Robotics Laboratory, Istanbul Medipol University, Istanbul, T��rkiye.
  4. Ramazan Unal: Department of Mechanical Engineering, Human-Centered Design Laboratory, Ozyegin University, Istanbul, T��rkiye.

Abstract

Neurological diseases are observed in approximately 1 billion people worldwide. A further increase is foreseen at the global level as a result of population growth and aging. Individuals with neurological disorders often experience cognitive, motor, sensory, and lower extremity dysfunctions. Thus, the possibility of falling and balance problems arise due to the postural control deficiencies that occur as a result of the deterioration in the integration of multi-sensory information. We propose a novel rehabilitation framework, Integrated Balance Rehabilitation (I-BaR), to improve the effectiveness of the rehabilitation with objective assessment, individualized therapy, convenience with different disability levels and adoption of assist-as-needed paradigm and, with integrated rehabilitation process as whole, that is, ankle-foot preparation, balance, and stepping phases, respectively. Integrated Balance Rehabilitation allows patients to improve their balance ability by providing multi-modal feedback: visual via utilization of virtual reality; vestibular via anteroposterior and mediolateral perturbations with the robotic platform; proprioceptive via haptic feedback.

Keywords

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Word Cloud

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