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VR-Integrated C-Mill® Combined With Conventional Therapy in Motor-Incomplete SCI

Combined Virtual Reality-Integrated C-Mill® and Conventional Therapy Improves Walking, Mobility, and Quality of Life After Motor-Incomplete Spinal Cord Injury

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07141784
Enrollment
11
Registered
2025-08-26
Start date
2023-02-01
Completion date
2025-02-01
Last updated
2025-08-26

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Spinal Cord Injuries (SCI)

Keywords

Spinal Cord Injury, Gait, C-Mill, Virtual Reality, Rehabilitation

Brief summary

This study investigates the effects of C-Mill® treadmill training, which integrates virtual reality and gamified tasks, combined with conventional physiotherapy, on walking ability, mobility, functional independence, and health-related quality of life in individuals with motor-incomplete spinal cord injury (iSCI). Participants are adults aged 18 years or older with injury at the T4 level or below, classified as American Spinal Injury Association (ASIA) Impairment Scale grade C or D, and with ICD-10 codes S24.73-S24.77 or S34.70. Individuals with a history of osteoporosis, cardiopulmonary disease, other neurological disorders, joint-related conditions, or concurrent participation in another study are excluded. All participants complete a 4-week integrated rehabilitation program at a specialized spinal cord injury center. The program consists of 10 C-Mill® sessions in addition to conventional physiotherapy, targeting balance, gait, and walking speed through task-specific training and individualized exercises to improve mobility, strength, and functional skills.

Detailed description

Spinal cord injury (SCI) limits mobility and independence, creating substantial physical and psychological burdens. Virtual reality and gamified treadmill systems such as the C-Mill® may enhance walking rehabilitation through task-specific and engaging practice. This observational study investigated the effects of C-Mill® treadmill training combined with conventional physiotherapy on walking ability, mobility, functional independence, and health-related quality of life in individuals with motor-incomplete SCI (iSCI). The C-Mill® system provides task-specific, engaging, and safe walking practice through real-time visual feedback and interactive scenarios designed to improve balance, gait speed, and obstacle negotiation. Participants were adults aged 18 years or older, with spinal cord injury at the T4 level or below, classified as American Spinal Injury Association (ASIA) Impairment Scale grade C or D. ICD-10 codes for inclusion ranged from S24.73 to S24.77 or S34.70. Individuals were in the chronic phase of iSCI and were excluded if they had a history of osteoporosis, cardiopulmonary disease, other neurological disorders, joint-related conditions, or concurrent participation in another study. All participants completed a 4-week integrated rehabilitation program at a specialized spinal cord injury center. The program consisted of 10 C-Mill® training sessions in addition to conventional physiotherapy. Each C-Mill® session included activities targeting static and dynamic balance, stride regulation, and safe gait adaptation, with progressive difficulty tailored to each participant's abilities. Conventional therapy included individualized physiotherapy exercises focusing on mobility, strength, and functional skills to support walking performance and independence.

Interventions

DEVICEC-Mill® Treadmill Training Combined with Conventional Physiotherapy

Participants received a 4-week integrated rehabilitation program consisting of 10 C-Mill® treadmill training sessions in addition to individualized conventional physiotherapy. C-Mill® sessions incorporated virtual reality and gamified tasks to improve static and dynamic balance, gait speed, stride regulation, and safe obstacle negotiation. Conventional physiotherapy targeted mobility, muscle strength, and functional skills to enhance walking performance and independence.

Sponsors

Ankara City Hospital Bilkent
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
TREATMENT
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Age 18 years or older * Diagnosis of spinal cord injury at T4 level or lower * American Spinal Injury Association (ASIA) Impairment Scale classification of grade C or D * ICD-10 codes S24.73 to S24.77 or S34.70

Exclusion criteria

* History of osteoporosis * Cardiopulmonary disease * Other neurological disorders * Joint-related conditions * Concurrent participation in another study

Design outcomes

Primary

MeasureTime frameDescription
Berg Balance Scale24 monthsBerg Balance Scale for balance assessment

Secondary

MeasureTime frameDescription
Spinal Cord Independence Measure (SCIM III)24 monthsSpinal Cord Independence Measure (SCIM III) for activity of daily living assessment
ASIA Lower Extremity Muscle Score24 monthsAssessment of lower extremity muscle strength using the American Spinal Injury Association (ASIA) Lower Extremity Motor Score (LEMS)
Timed Up and Go Test24 monthsTimed Up and Go Test overground walking assessment
Walking Index in Spinal Cord Injury II24 monthsWalking Index in Spinal Cord Injury II for walking independence level assessment
Ten-Meter Walking Test24 monthsTen-Meter Walking Test for overground walking speed assessment
World Health Organization Quality of Life Scale-Short Form (WHOQOL - BREF)24 monthsWorld Health Organization Quality of Life Scale-Short Form (WHOQOL - BREF) for quality of life assessment
Cadence Measurement with Treadmill-Based Gait Analysis24 monthsUses treadmill equipment to assess cadence (number of steps per minute)
Stride Length Measurement with Treadmill-Based Gait Analysis24 monthsUses treadmill equipment to assess the length of a single stride during walking.
Step Width Measurement with Treadmill-Based Gait Analysis24 monthsUses treadmill equipment to assess the distance between the heels of the feet during walking
Stance Time Difference with Treadmill-Based Gait Analysis24 monthsUses treadmill equipment to assess stance time difference between lower limbs (seconds \[s\]) during gait analysis.
Gait Speed with Treadmill-Based Gait Analysis24 monthsUses treadmill equipment to assess walking speed (kilometers per hour \[km/h\]) during gait analysis.

Countries

Turkey (Türkiye)

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026