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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| NDT gait training group | Experimental | NDT gait trainer which can automatically repeat NDT intervention, thereby alleviating therapists' workload and extending patients' training time. They analyzed therapists' intervention in manual NDT training and concluded that therapists cued subjects' anterior superior iliac spines (ASISs) when perceiving opposite heel strikes (HSs). |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| NDT Gait Training System | Device | 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. |
| Measure | Description | Time Frame |
|---|---|---|
| Pelvic rotation | The gait parameter will be collected using wearable inertial measurement units (IMUs) before and after the NDT gait training intervention and pelvic rotation will be measured through axial angular velocity | Baseline (pre-intervention) and post-intervention (immediately after completion of the NDT gait training program). |
| Walking speed | Walking speed will be estimated from IMU during walking and reported in meters per second (m/s). | Baseline (pre-intervention) and post-intervention (immediately after completion of the NDT gait training program). |
| Step length | Step length will be derived from IMU-based spatiotemporal gait data collected during overground walking and reported in meters (m). | Baseline (pre-intervention) and post-intervention (immediately after completion of the NDT gait training intervention). |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Szu-Fu Chen, MD, PhD | Cheng-Hsin General Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Cheng Hsin General Hospital | Taipei | Beitou Dist. | 112050 | Taiwan |
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| ID | Term |
|---|---|
| D020521 | Stroke |
| ID | Term |
|---|---|
| D002561 | Cerebrovascular Disorders |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
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In this study, inertial measurement units are used for gait phase detection and as feedback parameters for the system. Previous studies have validated the reliability and accuracy of IMU data compared to those collected in motion analysis laboratories.
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| D014652 | Vascular Diseases |
| D002318 | Cardiovascular Diseases |