Dataset for "Kinematic evaluation of patients with chronic obstructive pulmonary disease during the 6-min walk test"
Description
A total of 41 patients with COPD of both sexes were evaluated according to established criteria. The inclusion criteria were age ≥40 years, a smoking history of at least 10 pack-years, a post-bronchodilator forced expiratory volume in 1 s (FEV1)/forced vi- tal capacity (FVC) < 0.70 (GOLD, 2020), and no participation in a pulmonary rehabilitation programme in the last 3 months. The classification of airflow limitation severity was based on post-bronchodilator FEV1. Among the 41 patients with COPD who were evaluated for inclusion in the study, 5 were excluded due to difficulty walking (n = 2), reported osteoarticular disease (n = 2), and chronic oxygen use (n = 1); 36 participants remained for analysis. A control group comprising 19 participants matched for sex, age, weight, height, and body mass index (BMI) was also evaluated. To be included in this group, participants could not be considered “very active” according to the International Physical Activity Questionnaire (IPAQ). The 6MWT was performed in a 10-m long flat corridor (between-pylon distance = 9 m), which is the minimal walkway length for this test (Almeida et al., 2020; Beekman et al., 2014), according to methods developed in a feasibility study (Saraiva et al., 2018). During the test, Qualisys Track Motion 2.4 software (Qualisys, Gothenburg, Sweden) and a system of four infrared cameras (ProReflex MCU 240; Qualisys, Gothenburg, Sweden) were used for the three-dimensional capture of helmet movement (Y: medial-lateral, X: anteroposterior, Z: vertical height). As in the feasibility study (Saraiva et al., 2018), the acquisition system was calibrated before each session using the manufacturer's equipment (wand length = 749.4 mm), procedure, and soft- ware; calibrations were repeated when necessary until the measurement errors for the location of the helmet were <1.0mm in all directions.
Files
Steps to reproduce
Download all files and folders to a fold with the same three structure as here. Open '6MWT-10m-clinical.R' in R project and run it.