Real-time Motion Capture and Visual Feedback for Amputation Gait Training

National Yang Ming Chiao Tung University

Status: Not yet enrolling

Conditions: Unilateral Knee Disarticulation; Unilateral Transfemoral Amputation

Treatments: Other: Conventional physical therapy group; Device: Real-time 2D motion capture and visual feedback system gait training

Study type: Interventional

Funder types: Other

Identifiers

NCT07049198

NYCU114067AE

Details and patient eligibility

About

People with transfemoral amputation face challenges such as gait asymmetry, instability, and increased energy consumption due to loss of the knee joint. Because of the loss of proprioceptive feedback from their missing limbs, visual feedback is essential for gait correction. Additionally, current visual feedback systems lack portability, cost-effectiveness, and they fail to provide precise, intuitive feedback on spatiotemporal parameters, joint angles, and both frontal and sagittal plane information, limiting their effectiveness in correcting gait abnormalities.This study aims to investigate whether gait training using a real-time 2D motion capture and visual feedback gait training system (2DMV) can improve the gait biomechanics and psychosocial functions of people with unilateral transfemoral amputation (uTFA). The 2DMV system analyzes spatiotemporal parameters and joint kinematics during gait and displays the uTFA's image on a screen, providing visual feedback specifically targeting gait abnormalities. This allows individuals with uTFA to intuitively understand the feedback and make real-time gait adjustments. The biomechanical parameters include joint kinematics, gait symmetry, and walking performance.

Enrollment: 40 estimated patients

Sex: All

Ages: 18 to 65 years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• Age between 18 and 65 years
• Individuals with unilateral transfemoral amputation or knee disarticulation
• Wear a prosthesis for at least 3 hours per day
• Have been using a prosthesis for more than 6 months
• Medicare Functional Classification Level (K-level) of 2 or above
• Able to walk independently for 5 meters without assistive devices
• No pain caused by poor prosthetic fit
• Montreal Cognitive Assessment Taiwan Version (MoCA-T) score ≥ 26

Exclusion criteria

• Uncontrolled systemic diseases (e.g., diabetes mellitus, hypertension)
• Cardiopulmonary or cardiovascular diseases (e.g., heart failure, severe asthma)
• History of neurological conditions that affect movement (e.g., stroke, spinal cord injury, cerebellar injury)
• Vestibular disorders
• Severe osteoporosis
• Other musculoskeletal injuries or open wounds
• Epilepsy
• Uncorrected visual impairments
• Congenital limb deficiency

Trial design

Primary purpose: Treatment

Allocation: Non-Randomized

Interventional model: Parallel Assignment

Masking: None (Open label)

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40 participants in 2 patient groups

Real-time 2D motion capture and visual feedback system gait training group (VF)

Experimental group

Description:

The VF group, the 2D motion capture and visual feedback training group, received an intervention consisting of 10 minutes of strength training followed by 30 minutes of visual feedback gait training using the 2DMV system.

Treatment:

Device: Real-time 2D motion capture and visual feedback system gait training

Conventional physical therapy group (PT)

Active Comparator group

Description:

The PT group, the conventional physical therapy group, received an intervention consisting of 10 minutes of strength training followed by 30 minutes of gait training without the use of the 2DMV system for visual feedback. During gait training, the therapist provided standard gait correction feedback typically used in conventional physical therapy.

Treatment:

Other: Conventional physical therapy group