par Bernal Castillo, Fredy ;Feipel, Véronique ;Plaza Torres, Mauricio
Référence Sensors, 24, 19, 6351
Publication Publié, 2024-05-01
Référence Sensors, 24, 19, 6351
Publication Publié, 2024-05-01
Article révisé par les pairs
Résumé : | As part of an investigation to detect asymmetries in gait patterns in persons with shoulder injuries, the goal of the present study was to design and validate a Kinect-based motion capture system that would allow extracting joint kinematics curves during gait and to compare them with the data obtained by a commercial motion capture system. The study included 8 male and 2 female participants, all diagnosed with anterolateral shoulder pain syndrome in their right upper extremity, with a minimum 18 months of disorder evolution. The participants had an average age of 31.8 ± 9.8 years, a height of 173 ± 18 cm, and a weight of 81 ± 15 kg. Gait kinematics was sampled simultaneously with the new system and the Clinical 3DMA system. Shoulder, elbow, hip, and knee kinematics were compared between systems for the pathological and non-pathological sides using repeated measures ANOVA and 1D statistical parametric mapping. For most variables, no significant difference was found between systems. Evidence of a significant difference between the newly developed system and the commercial system was found for knee flexion-extension (p<0.004, between 60 and 80% of the gait cycle), and for shoulder abduction-adduction. The good concurrent validity of the new Kinect-based motion analysis system found in this study opens promising perspectives for clinical motion tracking using an affordable and simple system. |