AI-Based Hamstring Injury Risk Analysis and Effects of the FUNBALL Program
NCT07650006 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 30
Last updated 2026-06-16
Summary
This study investigates hamstring injury risk in football players using artificial intelligence-based motion analysis (OpenPose) and evaluates the effects of a targeted exercise intervention (FUNBALL). Hamstring risk is assessed during a 30-m sprint using sagittal-plane video analysis, and players classified as medium or high risk receive a four-month FUNBALL program. A pre-post intervention design is employed, with sprint performance, agility, balance, jumping ability, kicking power, and cognitive function assessed using standardized field and cognitive tests.
Conditions
- Healthy
- Healthy Adult Male
Interventions
- OTHER
-
FUNBALL Prevention Program
The FUNBALL Prevention Program is an evidence-based injury prevention exercise program described in the literature. The program was developed by Obertinca et al. and has been shown to reduce thigh muscle injury incidence by approximately 38% in football players. In the present study, the FUNBALL program is implemented as a structured training intervention aimed at reducing hamstring injury risk.
Sponsors & Collaborators
-
Yeditepe University
lead OTHER
Principal Investigators
-
Elif Tuğçe t Çil Sertöz, Asst. Prof. Dr. · Yeditepe University
Study Design
- Allocation
- NA
- Purpose
- PREVENTION
- Masking
- NONE
- Model
- SINGLE_GROUP
Eligibility
- Min Age
- 18 Years
- Max Age
- 35 Years
- Sex
- FEMALE
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2026-02-01
- Primary Completion
- 2026-04-25
- Completion
- 2026-04-25
Countries
- Turkey (Türkiye)
Study Locations
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