Comparison of Robot-assisted Gait Training According to Gait Speed in Participants With Stroke

2019 ◽  
Author(s):  
Keyword(s):  
Gait Speed ◽  
Gait Training ◽  
Robot Assisted

The effect of robot-assisted gait training on cortical activation in stroke patients: A functional near-infrared spectroscopy study

2021 ◽  
pp. 1-9
Author(s):  
Kyeong Joo Song ◽  
Min Ho Chun ◽  
Junekyung Lee ◽  
Changmin Lee
Keyword(s):  
Gait Speed ◽  
Functional Outcomes ◽  
Near Infrared ◽  
Gait Training ◽  
Berg Balance Scale ◽  
Cortical Activation ◽  
Control Group ◽  
Stroke Patients ◽  
Robot Assisted ◽  
Functional Near Infrared Spectroscopy

OBJECTIVE: To investigate the effects of the robot–assisted gait training on cortical activation and functional outcomes in stroke patients. METHODS: The patients were randomly assigned: training with Morning Walk® (Morning Walk group; n = 30); conventional physiotherapy (control group; n = 30). Rehabilitation was performed five times a week for 3 weeks. The primary outcome was the cortical activation in the Morning Walk group. The secondary outcomes included gait speed, 10-Meter Walk Test (10MWT), FAC, Motricity Index–Lower (MI–Lower), Modified Barthel Index (MBI), Rivermead Mobility Index (RMI), and Berg Balance Scale (BBS). RESULTS: Thirty-six subjects were analyzed, 18 in the Morning Walk group and 18 in the control group. The cortical activation was lower in affected hemisphere than unaffected hemisphere at the beginning of robot rehabilitation. After training, the affected hemisphere achieved a higher increase in cortical activation than the unaffected hemisphere. Consequently, the cortical activation in affected hemisphere was significantly higher than that in unaffected hemisphere (P = 0.036). FAC, MBI, BBS, and RMI scores significantly improved in both groups. The Morning Walk group had significantly greater improvements than the control group in 10MWT (P = 0.017), gait speed (P = 0.043), BBS (P = 0.010), and MI–Lower (P = 0.047) scores. CONCLUSION: Robot-assisted gait training not only improved functional outcomes but also increased cortical activation in stroke patients.

Robot-assisted gait training is not superior to intensive overground walking in multiple sclerosis with severe disability (the RAGTIME study): A randomized controlled trial

2019 ◽  
Vol 26 (6) ◽  
pp. 716-724 ◽  
Author(s):  
Sofia Straudi ◽  
Fabio Manfredini ◽  
Nicola Lamberti ◽  
Carlotta Martinuzzi ◽  
Elisa Maietti ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Randomized Controlled Trial ◽  
Gait Speed ◽  
Controlled Trial ◽  
Gait Training ◽  
Overground Walking ◽  
Robot Assisted ◽  
Randomized Controlled ◽  
End Of Treatment

Background: Rehabilitation may attenuate the impact on mobility of patients with progressive multiple sclerosis (MS) and severe gait disabilities. Objective: In this randomized controlled trial, we compared robot-assisted gait training (RAGT) with conventional therapy (CT) in terms of gait speed, mobility, balance, fatigue and quality of life (QoL). Methods: Seventy-two patients with MS (expanded disability status scale score 6.0–7.0) were randomized to receive 12 training sessions over a 4-week period of RAGT ( n = 36) or overground walking therapy ( n = 36). The primary outcome was gait speed, assessed by the timed 25-foot walk test. Secondary outcome measures were walking endurance, balance, depression, fatigue and QoL. Tests were performed at baseline, intermediate, at the end of treatment and at a 3-month follow-up. Results: Sixty-six patients completed the treatments. At the end of treatment with respect to baseline, both groups significantly improved gait speed ( p < 0.001) and most secondary outcomes without between-group differences. Outcome values returned to baseline at follow-up. Conclusions: RAGT was not superior to CT in improving gait speed in patients with progressive MS and severe gait disabilities where a positive, even transitory, effect of rehabilitation was observed.

scholarly journals Robot-Assisted Gait Training in Patients with Multiple Sclerosis: A Randomized Controlled Crossover Trial

Medicina ◽  
2021 ◽  
Vol 57 (7) ◽  
pp. 713
Author(s):  
Cristiano Sconza ◽  
Francesco Negrini ◽  
Berardo Di Matteo ◽  
Alberto Borboni ◽  
Gennaro Boccia ◽  
...  
Keyword(s):  
Crossover Trial ◽  
Gait Training ◽  
Treatment Session ◽  
Control Group ◽  
Walk Test ◽  
Robot Assisted ◽  
Randomized Controlled ◽  
Gait Parameters ◽  
Before And After

Background and Objectives: Gait disorders represent one of the most disabling aspects in multiple sclerosis (MS) that strongly influence patient quality of life. The improvement of walking ability is a primary goal for rehabilitation treatment. The aim of this study is to evaluate the effectiveness of robot-assisted gait training (RAGT) in association with physiotherapy treatment in patients affected by MS in comparison with ground conventional gait training. Study design: Randomized controlled crossover trial. Materials and Methods: Twenty-seven participants affected by MS with EDSS scores between 3.5 and 7 were enrolled, of whom seventeen completed the study. They received five training sessions per week over five weeks of conventional gait training with (experimental group) or without (control group) the inclusion of RAGT. The patients were prospectively evaluated before and after the first treatment session and, after the crossover phase, before and after the second treatment session. The evaluation was based on the 25-foot walk test (25FW, main outcome), 6 min walk test (6MWT), Tinetti Test, Modified Ashworth Scale, and modified Motricity Index for lower limbs. We also measured disability parameters using Functional Independence Measure and Quality of Life Index, and instrumental kinematic and gait parameters: knee extensor strength, double-time support, step length ratio; 17 patients reached the final evaluation. Results: Both groups significantly improved on gait parameters, motor abilities, and autonomy recovery in daily living activities with generally better results of RAGT over control treatment. In particular, the RAGT group improved more than control group in the 25FW (p = 0.004) and the 6MWT (p = 0.022). Conclusions: RAGT is a valid treatment option that in association with physiotherapy could induce positive effects in MS-correlated gait disorders. Our results showed greater effectiveness in recovering gait speed and resistance than conventional gait training.

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.

scholarly journals Functional Gait Recovery after a Combination of Conventional Therapy and Overground Robot-Assisted Gait Training Is Not Associated with Significant Changes in Muscle Activation Pattern: An EMG Preliminary Study on Subjects Subacute Post Stroke

2021 ◽  
Vol 11 (4) ◽  
pp. 448
Author(s):  
Francesco Infarinato ◽  
Paola Romano ◽  
Michela Goffredo ◽  
Marco Ottaviani ◽  
Daniele Galafate ◽  
...  
Keyword(s):  
Conventional Therapy ◽  
Muscle Activation ◽  
Bilateral Symmetry ◽  
Gait Training ◽  
Robot Assisted ◽  
Activation Patterns ◽  
Post Stroke ◽  
Muscle Activation Patterns ◽  
Preliminary Study ◽  
Functional Gait

Background: Overground Robot-Assisted Gait Training (o-RAGT) appears to be a promising stroke rehabilitation in terms of clinical outcomes. The literature on surface ElectroMyoGraphy (sEMG) assessment in o-RAGT is limited. This paper aimed to assess muscle activation patterns with sEMG in subjects subacute post stroke after training with o-RAGT and conventional therapy. Methods: An observational preliminary study was carried out with subjects subacute post stroke who received 15 sessions of o-RAGT (5 sessions/week; 60 min) in combination with conventional therapy. The subjects were assessed with both clinical and instrumental evaluations. Gait kinematics and sEMG data were acquired before (T1) and after (T2) the period of treatment (during ecological gait), and during the first session of o-RAGT (o-RAGT1). An eight-channel wireless sEMG device acquired in sEMG signals. Significant differences in sEMG outcomes were found in the BS of TA between T1 and T2. There were no other significant correlations between the sEMG outcomes and the clinical results between T1 and T2. Conclusions: There were significant functional gains in gait after complex intensive clinical rehabilitation with o-RAGT and conventional therapy. In addition, there was a significant increase in bilateral symmetry of the Tibialis Anterior muscles. At this stage of the signals from the tibialis anterior (TA), gastrocnemius medialis (GM), rectus femoris (RF), and biceps femoris caput longus (BF) muscles of each lower extremity. sEMG data processing extracted the Bilateral Symmetry (BS), the Co-Contraction (CC), and the Root Mean Square (RMS) coefficients. Results: Eight of 22 subjects in the subacute stage post stroke agreed to participate in this sEMG study. This subsample demonstrated a significant improvement in the motricity index of the affected lower limb and functional ambulation. The heterogeneity of the subjects’ characteristics and the small number of subjects was associated with high variability research, functional gait recovery was associated with minimal change in muscle activation patterns.

Requirements for and impact of a serious game for neuro-pediatric robot-assisted gait training

2013 ◽  
Vol 34 (11) ◽  
pp. 3906-3915 ◽  
Author(s):  
Rob Labruyère ◽  
Corinna N. Gerber ◽  
Karin Birrer-Brütsch ◽  
Andreas Meyer-Heim ◽  
Hubertus J.A. van Hedel
Keyword(s):  
Gait Training ◽  
Serious Game ◽  
Robot Assisted

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.

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