Sirindhorn School of Prosthetics and Orthotics, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Exercise and Sport Science Department at St. Mary's University, San Antonio, Texas, USA.
Sci Data. 2024 Aug 24;11(1):922. doi: 10.1038/s41597-024-03677-3.
Motion analysis has played a crucial role in providing gait analysis for prosthetic users. Understanding kinematics in motion analysis allows for the evaluation of the effects of prostheses and the development of a prosthetic component design that aids in walking within the community. However, there are currently limited open datasets available to study the locomotion of individuals using transtibial prostheses, and most research studies involve a limited number of participants. This dataset shows 30 transtibial prosthesis users walking comfortably on a 10-meter walkway inside a laboratory. We offer a set of joint ankles obtained from the inertial measurement unit (IMU) signals in CSV file format. We also provide the optical motion capture (OMC) system's raw trajectory marker data in C3D file format and joint angle in CSV file format. This open dataset will provide resources for professionals interested in amputee gait for research in amputee gait detection and tracking algorithms. Moreover, the data will be the control data for comparison in developing advanced prosthetic components.
运动分析在为假肢使用者提供步态分析方面发挥了至关重要的作用。理解运动分析中的运动学有助于评估假肢的效果,并开发有助于在社区中行走的假肢部件设计。然而,目前可用于研究使用胫骨假肢的个体运动的公开数据集有限,而且大多数研究涉及的参与者人数有限。本数据集展示了 30 名胫骨假肢使用者在实验室的 10 米走道上舒适行走。我们提供了一组从惯性测量单元 (IMU) 信号中获得的踝关节关节数据,以 CSV 文件格式提供。我们还提供光学运动捕捉 (OMC) 系统的原始轨迹标记数据,以 C3D 文件格式提供,以及 CSV 文件格式的关节角度数据。这个开放数据集将为有兴趣研究假肢步态的专业人员提供资源,用于研究假肢步态检测和跟踪算法。此外,该数据将是开发先进假肢部件的比较控制数据。