Gait dataset of 14 Syrian above-knee amputees and 20 healthy subjects

This Gait dataset is essential for studying motion, evaluating prosthesis effects, and im proving the design of prosthetic components to meet the needs for daily life in low-income countries where advanced prosthesis are limited. This dataset contains the gait parameters of 14 above-knee prosthesis users (5 female, 9 male) with different passive prosthetic components and 20 healthy participants (10 male, 10 female). The data are spatio-temporal parameters, lower limb joints angles and moments in the sagittal plane, and ground reaction force components. These data were acquired using 6 video cameras (BTS SMART-D) and 2 Kistler force plates in the biomechanics lab at Damascus University. The acquisition process of data follows Davis et al. protocol for clinical gait analysis. It was divided into three main steps: subject preparation, raw data acquisition, and gait parameters calculation. (C) 2021 The Author(s). Published by Elsevier Inc.