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

Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age18-65
SponsorUniversity of Ljubljana

About this trial

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

Eligibility criteria

Qualifiers

presence of neck pain

pain level minimum 3 of 10 on VAS

did not receive conventional physiotherapy in last 6 months

Disqualifiers

any upper extremity pain within last 2 years

any neurological or vestibular dissorders

type 2 diabetes

diagnosed psychiatric dissorders

Trial design

Treatments tested in this trial

  • Smallest movement deficit training protocol
  • Smaller movement deficit training protocol
  • Larger movement deficit training group
  • Largest movement deficit training protocol
  • Control group intervention protocol

Treatment groups

38 Participants
are divided into 5 treatment groups

Sponsors and collaborators