Kinematic Training in Patients With Neck Pain Based on Machine Learning Classification Approach

Recruiting now · Not applicable

Conditions studied: Chronic Neck Pain

In brief

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 \[describe the main tasks participants will be asked to do, interventions they'll be given and use bullets if it is more than 2 items\].

Key facts

Study ID

NCT07418632

Run by

University of Ljubljana

People needed

38

Starts

2026-03-18

Expected to finish

2026-09-20

Last updated by the study team

2026-02-18

Who can join

Age: 18 and older, up to 65. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• presence of neck pain
• pain level minimum 3 of 10 on VAS
• did not receive conventional physiotherapy in last 6 months

You may not qualify if…

• any upper extremity pain within last 2 years
• any neurological or vestibular dissorders
• type 2 diabetes
• diagnosed psychiatric dissorders
• medication or alcohol consumptin in last 30 hours

Where it is running

• Faculty of Sport — Ljubljana, Slovenia (enrolling)

Full record on ClinicalTrials.gov

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