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Activity-based Training on a Treadmill with Spinal Cord Injured Wistar Rats
Published on: January 16, 2019
Robot assisted treadmill training: mechanisms and training strategies
Shahid Hussain1, Sheng Quan Xie, Guangyu Liu
1Department of Mechanical Engineering, The University of Auckland, 20 Symonds Street, Auckland 1142, New Zealand. shus045@aucklanduni.ac.nz
Medical Engineering & Physics
|January 11, 2011
Summary
This review covers robotic devices for gait training in patients with neurologic injuries. Adaptive strategies show promise for improving rehabilitation outcomes, though clinical proof is pending.
Area of Science:
- Rehabilitation Engineering
- Robotics in Medicine
- Neurorehabilitation
Background:
- The rehabilitation engineering field is developing robotic devices to aid gait training for patients with neurological injuries like stroke and spinal cord injuries (SCI).
- Robot-assisted treadmill training has advanced significantly, offering repetitive, systematic, and prolonged training sessions.
Purpose of the Study:
- To review treadmill-based robotic gait training devices.
- To provide an overview of design configurations and actuation methods.
- To study training strategies that actively involve patients and adapt to their disability level and injury type.
Main Methods:
- Literature review of treadmill-based robotic gait training devices.
- Analysis of design configurations and actuation methods.
- Examination of patient-centered training strategies.
Main Results:
- Overview of various treadmill-based robotic gait training devices.
- Categorization of design configurations and actuation methods.
- Identification of adaptive training strategies tailored to patient needs.
Conclusions:
- Advancements in robotic device design and training strategies are notable.
- Adaptive training strategies may lead to substantial improvements in gait rehabilitation.
- Further clinical validation is needed to prove the efficacy of these strategies.
