Optimal Intervention Timing for Robotic-Assisted Gait Training in Hemiplegic Stroke

Area of Science:

• Neurorehabilitation
• Robotics in Medicine
• Stroke Recovery

Background:

• Stroke survivors often experience sensorimotor deficits, balance issues, and impaired daily living activities.
• Robot-assisted gait training (RAGT) is a therapeutic approach for stroke rehabilitation.
• Optimal timing for RAGT intervention remains unclear.

Purpose of the Study:

• To determine the most effective intervention time (acute, subacute, chronic) for Walkbot RAGT in hemiparetic stroke patients.
• To evaluate the impact of RAGT timing on sensorimotor function, balance, cognition, and activities of daily living.
• To provide clinical evidence for optimal RAGT timing in stroke rehabilitation.

Main Methods:

• Thirty-six hemiparetic stroke survivors were divided into acute (ASG), subacute (SSG), and chronic (CSG) stage groups.
• All groups received 30-minute Walkbot RAGT sessions, thrice weekly for 4 weeks.
• Clinical outcomes including Fugl-Meyer Assessment (FMA), Berg Balance Scale (BBS), and others were assessed pre- and post-intervention.

Main Results:

• Significant improvements in FMA, BBS, Trunk Impairment Scale (TIS), and Modified Barthel Index (MBI) were observed between the ASG and SSG/CSG.
• ASG and SSG showed significant time effects for most variables (except MAS), while CSG showed effects for FMA, BBS, and TIS.
• Walkbot RAGT demonstrated greater benefits for patients in the acute stroke stage.

Conclusions:

• The acute stage appears to be the optimal time for initiating Walkbot RAGT for stroke patients.
• Early intervention with RAGT may lead to more favorable clinical outcomes.
• This study offers the first clinical evidence supporting optimal timing for RAGT in stroke rehabilitation.