Artificial Intelligence-Based Motion Analysis for Early Detection of COPD

Burcin Celik

Status

Begins enrollment in 1 month

Conditions

Chronic Obstructive Pulmonary Disease (COPD)

Treatments

Other: Gait Video Recording and Analysis

Study type

Observational

Funder types

Other

Identifiers

NCT07010211

B.30.2.ODM.0.20.08/220

Details and patient eligibility

About

This study aims to develop a non-invasive and contact-free diagnostic system that uses artificial intelligence (AI) to detect Chronic Obstructive Pulmonary Disease (COPD) by analyzing walking patterns.

Participants in this study will include individuals with a diagnosis of COPD and healthy volunteers. All participants will undergo a 6-minute walk test (6MWT), during which their movements will be recorded using video. In addition, they will complete a breathing test (spirometry) and a short questionnaire about symptoms.

The recorded videos will be analyzed using an AI model based on motion tracking software. This model will evaluate walking-related parameters such as step count, step length, walking time, and total walking distance. The goal is to determine whether walking patterns can be used to detect COPD with high accuracy, especially in situations where traditional lung function tests may not be available or feasible.

This study is observational and does not involve any experimental drug or treatment. The results may help to create new diagnostic tools that are easy to use, safe, and accessible for early detection of COPD.

Enrollment

56 estimated patients

Sex

All

Ages

40 to 80 years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

Aged between 40 and 80 years
Ability to provide informed consent
For COPD group: Previously diagnosed with COPD based on GOLD criteria (FEV1/FVC < 0.70)
For control group: No history of pulmonary disease and normal spirometry results
Physically able to perform the 6-minute walk test
Willingness to participate in video recording during gait analysis

Exclusion criteria

Younger than 40 or older than 80 years
Acute respiratory tract infection or other active infections
Severe heart failure, advanced arrhythmias, or other serious cardiovascular conditions
Physical disability preventing completion of the 6-minute walk test
Neurological or orthopedic conditions causing major gait disturbance
Inability to perform spirometry due to physical or cognitive limitations
Pregnant or breastfeeding women Diagnosed with other serious pulmonary diseases (e.g., interstitial lung disease, active tuberculosis) Refusal to give informed consent or to be video recorded