Klara Bolander Laksov, Rajna Knez, Steinn Steingrimsson, Samir El Alaoui, Karolina Sörman
Beyond theoretical courses - A study of Swedish psychiatric residents' collegial learning through conversations in the workplace
Nordic journal of psychiatry
gait analysis serves critical diagnostic tool identifying neurologic musculoskeletal damage traditional manual analysis motion data however laborintensive heavily reliant expertise judgment therapist study introduces binary classification method quantitative assessment gait impairments specifically focusing duchenne muscular dystrophy dmd prevalent fatal neuromuscular genetic disorder research compares spatiotemporal sagittal kinematic gait features derived 2d 3d human pose estimation trajectories concurrently recorded 3d motion capture mocap data healthy children proposed model leverages novel benchmark dataset collected youtube publicly available datasets typically developed peers extract timedistance variables eg speed step length stride time cadence sagittal joint angles lower extremity eg hip knee knee flexion angles machine learning deep learning techniques employed discern patterns identify children exhibiting dmd gait disturbances current model capable distinguishing healthy subjects dmd specifically differentiate dmd patients patients gait impairments experimental results validate efficacy costeffective method relies recorded rgb video detecting gait abnormalities achieving prediction accuracy 962 support vector machine svm 97 deep network