Discussion of sling control simulation in feedback type Gait Training System

2009 ◽  
Author(s):  
Hidetaka Ikeuchi ◽  
Singo Takiyama ◽  
Iha Mamoru ◽  
Yukio Saito
Keyword(s):  
Gait Training ◽  
Training System ◽  
Feedback Type ◽  
Control Simulation

scholarly journals Control Simulation of Sling System with Human Dynamics about Gait Training System

2008 ◽  
Vol 20 (Supplement) ◽  
pp. 60-60
Author(s):  
Shingo Takiyama ◽  
Hidetaka Ikeuchi ◽  
Yukio Saito
Keyword(s):  
Gait Training ◽  
Training System ◽  
Human Dynamics ◽  
Control Simulation

scholarly journals Clinical Efficacy of a New Robot-assisted Gait Training System for Acute Stroke Patients

2021 ◽  
Author(s):  
Andy Chien ◽  
Fei-Chun Chang ◽  
Nai-Hsin Meng ◽  
Pei-Yu Yang ◽  
Ching Huang ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Acute Stroke ◽  
Quality Index ◽  
Pittsburgh Sleep Quality Index ◽  
Gait Training ◽  
Training System ◽  
Control Group ◽  
Stroke Patients ◽  
Robot Assisted ◽  
Significant Difference

Abstract Purpose Robot-assisted gait rehabilitation has been proposed as a plausible supplementary rehabilitation strategy in stroke rehabilitation in the last decade. However, its exact benefit over traditional rehabilitation remain sparse and unclear. It is therefore the purpose of the current study to comparatively investigate the clinical benefits of the additional robot-assisted training in acute stroke patients compared to standard hospital rehabilitation alone. Methods Ninety acute stroke patients (< 3 month) were recruited. All participants received the standard hospital neurorehabilitation comprises 45–60 min sessions daily for 3 weeks. Sixty patients also received an additional 30 min of robot-assisted gait training with the HIWIN MRG-P100 gait training system after each of the standard neurorehabilitation session. Outcome measures included: 1. Berg Balance Scale (BBS); 2. Brunnstrom Stage; 3. Pittsburgh Sleep Quality Index and 4. Taiwanese Depression Questionnaire (TDQ) which were assessed pre-treatment and then after every five training sessions. Results Both groups demonstrated significant improvement pre- and post-treatment for the BBS (robotic group p = 0.023; control group p = 0.033) but no significant difference (p > 0.1) between the groups were found. However, the robotic training group had more participants demonstrating larger BBS points of improvement as well as greater Brunnstrom stage of improvement, when compared to the control group. No significant within and between group statistical differences (p > 0.3) were found for Pittsburgh Sleep Quality Index and Taiwanese Depression Questionnaire. Conclusion The addition of robotic gait training on top of standard hospital neurorehabilitation for acute stroke patients appear to produce a slightly greater improvement in clinical functional outcomes, which is not transferred to psychological status.

Design of a 6-DOF Robotic Gait Training System With Closed-Chain Foot Initiated Kinematics Control

2015 ◽  
Author(s):  
Wei Liu ◽  
John Kovaleski ◽  
Marcus Hollis
Keyword(s):  
Three Dimensional ◽  
Computer Software ◽  
Gait Training ◽  
Gait Pattern ◽  
Training System ◽  
Normal Walking ◽  
Robot Assisted ◽  
Walking Gait ◽  
The Right ◽  
Joint Motions

Robotic assisted rehabilitation, taking advantage of neuroplasticity, has been shown to be helpful in regaining some degree of gait performance. Robot-applied movement along with voluntary efferent motor commands coordinated with the robot allows optimization of motion training. We present the design and characteristics of a novel foot-based 6-degree-of-freedom (DOF) robot-assisted gait training system where the limb trajectory mirrored the normal walking gait. The goal of this study was to compare robot-assisted gait to normal walking gait, where the limb moved independently without robotics. Motion analysis was used to record the three-dimensional kinematics of the right lower extremity. Walking motion data were determined and transferred to the robotic motion application software for inclusion in the robotic trials where the robot computer software was programmed to produce a gait pattern in the foot equivalent to the gait pattern recorded from the normal walking gait trial. Results demonstrated that ankle; knee and hip joint motions produced by the robot are consistent with the joint motions in walking gait. We believe that this control algorithm provides a rationale for use in future rehabilitation, targeting robot-assisted training in people with neuromuscular disabilities such as stroke.

Development of Virtual Reality-based Gait Training System Simulating Personal Home Environment

2021 ◽  
Author(s):  
Yuya Nagashima ◽  
Daigo Ito ◽  
Ryo Ogura ◽  
Takanori Tominaga ◽  
Yumie Ono
Keyword(s):  
Virtual Reality ◽  
Home Environment ◽  
Gait Training ◽  
Training System

scholarly journals Design and development of a gait training system for Parkinson’s disease

PLoS ONE ◽  
2018 ◽  
Vol 13 (11) ◽  
pp. e0207136 ◽  
Author(s):  
Ainara Garzo ◽  
Paula Alexandra Silva ◽  
Nestor Garay-Vitoria ◽  
Erik Hernandez ◽  
Stephen Cullen ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Gait Training ◽  
Training System ◽  
Design And Development

scholarly journals Efficacy Of Robot-assisted Physiotherapy For Pain Management In Neurological Disorders-A Systematic Review

2021 ◽  
Vol 29 (03) ◽  
pp. 126-131
Author(s):  
Okasha Anjum ◽  
Hajra Ameer Shaikh ◽  
Nida Waheed ◽  
Syeda Wajeeha Raza Zaidi
Keyword(s):  
Systematic Review ◽  
Pain Management ◽  
Neurological Disorders ◽  
Spinal Cord Injuries ◽  
Large Body ◽  
Treatment Strategies ◽  
Gait Training ◽  
Training System ◽  
Robot Assisted ◽  
Randomized Controlled

Efficacy Of Robot-assisted Physiotherapy For Pain Management In Neurological Disorders-A Systematic Review Abstract Background: Neurological disorders (ND) are ranked as the leading cause of death and disability around the globe and the escalating burden summons the advancements in the treatment strategies hence this systematic review aimed to fill the knowledge gap regarding the efficacy of robot-assisted physiotherapy (RAPT) for pain management in ND. Methodology: Scientific trials were sought by an extensive search via electronic databases mainly PubMed, PEDro, and Scopus. Randomized controlled trials published from the year 2014 to April 2021, evaluating the potential effects of RAPT for pain management in ND were included in the review. The quality appraisal of the RCTs was analyzed via Cochrane tool for assessing risk of bias. Results: The Majority of the trials reported the effectiveness of RAPT using PARO robot, Armeo spring, Gloreha robot, and robotic Lokomat gait training system in significantly improving pain of ND such as stroke, dementia, phantom syndrome, and spinal cord injuries. Conclusions: Large body of evidence suggested RAPT as a potential solution in improving pain of various ND however further rigorous trials are necessary to draw conclusive recommendations. Keywords: Neurological disorders, pain, physiotherapy management, rehabilitation, robot-assisted physiotherapy, robotics

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