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ENROLLING BY INVITATION
NCT07395544
NA

Gait Training for Hemiplegic Stroke Patients With Stationary Trainer

Sponsor: Cheng-Hsin General Hospital

View on ClinicalTrials.gov

Summary

This study aims to evaluate the effectiveness of a novel mobile neurodevelopmental treatment (NDT) gait training device for patients recovering from stroke. Stroke is a major cause of disability worldwide, and many survivors experience difficulty with walking and require long-term rehabilitation. NDT is a widely used rehabilitation approach that focuses on improving motor control through techniques such as facilitation, inhibition, and key point control. However, traditional NDT gait training can be physically demanding for therapists and often limits the training intensity and duration for patients. To address these challenges, this study introduces an automated NDT gait training device that replicates therapist techniques using mechanical support and sensory feedback. The system uses bilateral dynamic assistance at the waist, auditory cues, and wearable inertial measurement units (IMUs) to help patients practice natural and symmetric walking patterns on the ground, instead of being restricted to treadmill training. The IMUs also provide objective gait data to assess improvement in gait symmetry, pelvic rotation, walking speed, and cadence. The primary goal is to assess changes in these gait parameters before and after NDT-based intervention. The study plans to enroll 40 adult stroke survivors (aged 20 and older) over a 3-year period starting from May 1, 2024.

Official title: Gait Training for Hemiplegic Stroke Patients: Employing a Stationary Neuro-developmental Trainer With Auditory Cues

Key Details

Gender

All

Age Range

20 Years - Any

Study Type

INTERVENTIONAL

Enrollment

40

Start Date

2024-05-02

Completion Date

2026-12-31

Last Updated

2026-02-09

Healthy Volunteers

No

Conditions

Interventions

DEVICE

NDT Gait Training System

The intervention includes a NDT gait training device that mimics therapist techniques through mechanical assistance, synchronized with auditory feedback and real-time gait analysis using IMU sensors.

Locations (1)

Cheng Hsin General Hospital

Taipei, Beitou Dist., Taiwan