Enhancing Post-Stroke Gait Rehabilitation with Robot-Assisted Therapy: A Focus on Step Repetitions and Neuroplasticity

Well, your competent? doctor knows all about this from all this earlier research! NO? S/he doesn't? Why the fuck are you seeing incompetent doctors and therapists?

robot-assisted gait training (23 posts to December 2018)

 Enhancing Post-Stroke Gait Rehabilitation with Robot-Assisted Therapy:A Focus on Step Repetitions and Neuroplasticity

Arturo Pichardo , MD¹ and Martin Malovec²

Affiliation:

¹Director of Quality and Interinstitutional

relationships, Fundación Teletón México A.C.,

Estado de México, Mexico.

²Head of Physiotherapy, RehaZentrum Malovec,

Bisamberg, Austria.

*Corresponding author:

Arturo Pichardo , MD, Director of Quality and

Interinstitutional relationships, Fundación Teletón

México A.C., Estado de México, Mexico.

Citation: Arturo Pichardo, Martin Malovec.

Enhancing Post-Stroke Gait Rehabilitation

with Robot-Assisted Therapy: A Focus on Step

Repetitions and Neuroplasticity. Archives of Clinical

and Biomedical Research 9 (2025): 212-219.

Received: March 26, 2025

Accepted: April 03, 2025

Published: May 06, 2025

Abstract

Background: 

Stroke is a leading cause of disability worldwide, with gait

impairments significantly affecting patients' independence and quality of

life. Gait recovery relies heavily on neuroplasticity, which requires high-

repetition, task-specific training. Conventional rehabilitation often fails to

provide enough repetitions, and the shortage of therapists further highlights

the need for alternative solutions.

Objective: 

This study explores the role of robot-assisted gait training

(RAGT) in post-stroke patients, focusing on the number of repetitions

achieved during the therapy.

Material and methods: 

Data from 264 therapies conducted on 132 post-

stroke patients who underwent treatment with the RAGT end-effector system,

collected from five different facilities, were analysed.

Results: 

Data analysis revealed that during therapy using an end-effector-

based RAGT system, patients achieved an average of 1098 ± 325 steps in

the first session and 1529 ± 298 steps in the final session, representing a 39%

increase in step count throughout the entire treatment program.

Conclusion: 

The end-effector-based RAGT system addresses core

neuroplasticity principles with an emphasis on high repetition rates, enabling

patients to achieve up to three times the number of repetitions compared to

conventional therapy. Given the increasing number of stroke survivors and

the shortage of qualified personnel, the RAGT system presents a promising

solution for the future of post-stroke gait rehabilitation