AI-Assisted Camera-Based Progressive Muscle Relaxation for Office Workers

NCT07571967 | Recruiting

• 2 other identifiers: PHYSIOTR-PMR-2026-001Ethics Approval No. 515
• Study Type: interventional
• Target: 60
• Locations: 1 country
• Sites: 1

Brief Summary

This randomized controlled trial evaluates the effectiveness of an AI-assisted, camera-based progressive muscle relaxation application in office workers aged 20 to 40 years. Participants are randomly allocated to an intervention group or a control group. The intervention group completes a 4-week progressive muscle relaxation program using the PhysioTR Academic application, which provides camera-based real-time movement analysis and exercise guidance. The control group continues their usual daily routine and completes baseline and post-intervention assessments only. Outcomes include pain/tension intensity, musculoskeletal symptoms, perceived stress, neck disability, work productivity, functionality, and AI-based adherence metrics.

Conditions

Musculoskeletal Pain; Neck Pain; Stress, Physiological; Work Related Musculoskeletal Disorders

Keywords

Office workers; Progressive muscle relaxation; Digital physiotherapy; Artificial intelligence; Camera-based motion analysis; PhysioTR Academic; Neck disability; Work productivity; Perceived stress; Musculoskeletal symptoms

Outcome Measures

Primary Outcomes (1)

• Change in Pain/Tension Intensity Assessed by Visual Analog Scale

  Pain/tension intensity is assessed using a 0-10 Visual Analog Scale. Higher scores indicate greater pain/tension intensity. Change is calculated from baseline to Week 4.

  Baseline and Week 4

Secondary Outcomes (7)

• Change in Musculoskeletal Symptoms Assessed by the Nordic Musculoskeletal Questionnaire

  Baseline and Week 4

• Change in Perceived Stress Scale Score

  Baseline and Week 4

• Change in Neck Disability Index Score

  Baseline and Week 4

• Change in Work Productivity Scale Score

  Baseline and Week 4

• Change in Numeric Functionality Score

  Baseline and Week 4

Other Outcomes (1)

• Immediate Change in Session-Level Pain/Tension Intensity

  Immediately before and after each session during the 4-week intervention period

Study Arms (2)

AI-Assisted Camera-Based Progressive Muscle Relaxation Group

EXPERIMENTAL

Participants in this group complete a 4-week progressive muscle relaxation program using the PhysioTR Academic application. The program includes 3 sessions per week, 12 sessions in total. Each session includes four components: face and jaw, neck and shoulders, hands and arms, and back and chest. The application uses the participant's device camera for real-time movement analysis and records session-level Visual Analog Scale scores and AI-based adherence metrics.

Behavioral: AI-Assisted Camera-Based Progressive Muscle Relaxation Program

Control Group

NO INTERVENTION

Participants in the control group continue their usual daily routine and do not receive an exercise intervention during the study period. They complete baseline and Week 4 assessments only.

Interventions

AI-Assisted Camera-Based Progressive Muscle Relaxation Program BEHAVIORAL

A camera-based progressive muscle relaxation program delivered through the PhysioTR Academic web application. The intervention includes 4 weeks of training, 3 sessions per week, for a total of 12 sessions. The application provides written and/or audio instructions and uses camera-based real-time movement analysis to support exercise performance and adherence monitoring.

AI-Assisted Camera-Based Progressive Muscle Relaxation Group

Eligibility Criteria

• Age: 20 Years - 40 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64)

You may qualify if:

• Aged between 20 and 40 years
• Actively working in a desk-based or office-based job
• Having access to a camera-enabled device such as a smartphone or computer
• Voluntary participation with informed consent
• Able to read and write Turkish
• Having a valid e-mail address

You may not qualify if:

• Previous surgery involving the neck or spine
• Cervical vertebral fracture or instability
• History of neurological disease such as multiple sclerosis or Parkinson's disease
• Vestibular system disorder
• Systemic inflammatory disease such as rheumatoid arthritis or ankylosing spondylitis
• History of malignancy
• Pregnancy
• Having received physiotherapy for the neck or back region within the last 6 months

Sponsors & Collaborators

• Istanbul Medipol University Hospital: lead

Study Sites (1)

Istanbul Medipol University, Faculty of Health Sciences, Department of Physiotherapy and Rehabilitation

Istanbul, Beykoz, 34810, Turkey (Türkiye)

RECRUITING

MeSH Terms

Conditions

Musculoskeletal Pain; Neck Pain

Condition Hierarchy (Ancestors)

Muscular Diseases; Musculoskeletal Diseases; Pain; Neurologic Manifestations; Signs and Symptoms; Pathological Conditions, Signs and Symptoms

Central Study Contacts

Doğukan Kurç, PhD

CONTACT

+90 4448544; dgknkrc@gmail.com

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: NONE
• Purpose: SUPPORTIVE CARE
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: PhD Lecturer

Study Record Dates

• First Submitted: April 30, 2026
• First Posted: May 7, 2026
• Study Start: April 8, 2026
• Primary Completion (Estimated): May 15, 2026
• Study Completion (Estimated): June 1, 2026
• Last Updated: May 7, 2026

Record last verified: 2026-04

Data Sharing

• IPD Sharing: Will not share

Locations

TU (1)