Kinematic Biofeedback on Gait Quality in Stroke

National Yang Ming Chiao Tung University40 enrolled

Overview

Walking disorder is the most common and concerning issue for individuals with stroke. Previous studies have often used improvements in walking speed and distance as reference indicators for the advancement of gait performance in individuals with stroke. However, for individuals with chronic stroke, considering gait symmetry and variability to enhance gait quality as the primary intervention target may be more crucial. According to a literature review, it can be inferred that the application of biofeedback to detect gait quality may be an effective approach to improve gait symmetry and variability in individuals with stroke. However, there is still insufficient research evidence on this issue. Therefore, this study aims to investigate the effects of a kinematic biofeedback device system, which detects hip joint angles, on gait quality in individuals with chronic stroke.

Study Type

INTERVENTIONAL

Allocation

RANDOMIZED

Purpose

TREATMENT

Masking

SINGLE

Enrollment

Conditions

Stroke

Interventions

Eligibility

Sex: ALLMin age: 20 YearsMax age: 80 Years

Medical Language ↔ Plain English

Inclusion Criteria: * First stroke * Stroke onset time ≥ 6 months * Functional Ambulation Category ≥3 * Passive range of motion of affected hip extension is at least 10 degrees * Mini-Mental State Measurement score ≥ 24 points Exclusion Criteria: * Modified Ashworth Scale of affected ankle plantar flexors ≥ 2 * Muscle strength of affected ankle plantar flexors via Manual Muscle Testing ≤ 1 * Uncorrected auditory impairment * Severe cardiovascular disease or uncontrolled hypertension * Other orthopedic diseases that may affect walking ability * Other neurological disease except stroke

Outcomes

Primary Outcomes

Gait symmetry

Using GAITRite system to measure the symmetry of spatiotemporal parameters, including step length, step width, single support time, and double support time. Calculate the gait symmetry using following formula: Gait symmetry = affected side/ unaffected side.

Time frame: 1 day

Gait variability

Using GAITRite system to measure the coefficient of variation (CV). The mean and standard deviation will be used to calculate the coefficient of variation (CV). CV = standard deviation / mean \* 100%

Time frame: 1 day

Secondary Outcomes

Propulsive force

Using Force plate to measure the ground reaction force

Time frame: 1 day

Kinematic Biofeedback on Gait Quality in Stroke

Overview

Conditions

Interventions

Eligibility

Locations (1)

Outcomes

Primary Outcomes

Secondary Outcomes

Central Contacts