Actively Recruiting
Kinematic Training in Patients With Neck Pain Based on Machine Learning Classification Approach
Led by University of Ljubljana · Updated on 2026-02-18
38
Participants Needed
1
Research Sites
26 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
The goal of this clinical trial is to study if kinematic training based on novel kinematic assessment clasification approach can decrease chronic neck pain and prevent its reoccurance better than conventional kinematic training in adults. The main question\[s\] it aims to answer \[is/are\]: Does clustering patients with neck pain based on head and neck movement characteristics lead to more efficient kinematic rehabilitation training and improved clinical outcomes Researchers will compare effects of cluster specific kinematic training to see if it effects pain levels and its reoccurance. Participants will \[describe the main tasks participants will be asked to do, interventions they'll be given and use bullets if it is more than 2 items\].
CONDITIONS
Official Title
Kinematic Training in Patients With Neck Pain Based on Machine Learning Classification Approach
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Presence of neck pain
- Neck pain level of at least 3 out of 10 on the Visual Analogue Scale (VAS)
- No conventional physiotherapy received in the last 6 months
You will not qualify if you...
- Any upper extremity pain within the last 2 years
- Any neurological or vestibular disorders
- Type 2 diabetes
- Diagnosed psychiatric disorders
- Medication or alcohol consumption within the last 30 hours
AI-Screening
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Trial Site Locations
Total: 1 location
1
Faculty of Sport
Ljubljana, Slovenia, 1000
Actively Recruiting
Research Team
Z
Ziva Majcen rosker, PhD, PT
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
DOUBLE
Allocation
NON_RANDOMIZED
Model
PARALLEL
Primary Purpose
TREATMENT
Number of Arms
5
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