Robot assisted treadmill training

Mechanisms and training strategies

Shahid Hussain, Sheng Quan Xie, Guangyu Liu

Research output: Contribution to journalReview article

79 Citations (Scopus)

Abstract

The rehabilitation engineering community is working towards the development of robotic devices that can assist during gait training of patients suffering from neurologic injuries such as stroke and spinal cord injuries (SCI). The field of robot assisted treadmill training has rapidly evolved during the last decade. The robotic devices can provide repetitive, systematic and prolonged gait training sessions. This paper presents a review of the treadmill based robotic gait training devices. An overview of design configurations and actuation methods used for these devices is provided. Training strategies designed to actively involve the patient in robot assisted treadmill training are studied. These training strategies assist the patient according to the level of disability and type of neurologic injury. Although the efficacy of these training strategies is not clinically proven, adaptive strategies may result in substantial improvements. We end our review with a discussion covering major advancements made at device design and training strategies level and potential challenges to the field.

Original languageEnglish
Pages (from-to)527-533
Number of pages7
JournalMedical Engineering and Physics
Volume33
Issue number5
DOIs
Publication statusPublished - 1 Jun 2011
Externally publishedYes

Fingerprint

Exercise equipment
Robotics
Gait
Robots
Nervous System Trauma
Equipment and Supplies
Equipment Design
Patient rehabilitation
Spinal Cord Injuries
Rehabilitation
Stroke

Cite this

Hussain, Shahid ; Xie, Sheng Quan ; Liu, Guangyu. / Robot assisted treadmill training : Mechanisms and training strategies. In: Medical Engineering and Physics. 2011 ; Vol. 33, No. 5. pp. 527-533.
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Robot assisted treadmill training : Mechanisms and training strategies. / Hussain, Shahid; Xie, Sheng Quan; Liu, Guangyu.

In: Medical Engineering and Physics, Vol. 33, No. 5, 01.06.2011, p. 527-533.

Research output: Contribution to journalReview article

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