File 27_Individual excel files comfortable speed.

This data belongs to a manuscript submitted to Data in Brief, in which the content and lay-out of this data is described in detail. Data overviews (including figures and tables for age and gender groups) can be found at OSF | Normative 3D gait data of healthy subjects walking at three different speeds on an instrumented treadmill in virtual reality.A normative gait dataset of 246 healthy adults (122 men / 124 women, range in age 18-91 years, body weight 46.80-116.10 kg, height 1.53-1.97 m and BMI 18.25-35.63 kg/m2) is presented and publicly shared for three walking speed conditions.Three dimensional gait analysis was performed at the Computer Assisted Rehabilitation Environment (CAREN) at the Maastricht University Medical Centre (MUMC+). Subjects walked on the instrumented treadmill surrounded with twelve 3D cameras, three 2D cameras and a virtual environment projected on a 180° screen using the Human Body Lower Limb Model with trunk markers (HBM-II) as biomechanical model.Subjects walked at comfortable walking speed, 30% slower and 30% faster. These walking speed conditions were applied in a random sequence. Comfortable walking speed was determined using a RAMP protocol: subjects started to walk at 0.5 m/s and every second the speed was increased wit 0.01 m/s until comfortable speed was reached. The average of three repetitions was considered the comfortable speed. For each walking speed condition, 250 steps were recorded.The 3D gait data was collected using the D-flow CAREN software. Raw data were processed in Matlab (Mathworks 2016), including quality check, step determination and the exportation of data to xls. Processed data includes spatiotemporal parameters, medio-lateral (ML) and back-forward (BF) margins of stability (MoS), 3D joint angles, anterior-posterior (AP) and vertical GRFs, 3D joint moments and 3D joint power of both legs.The attached files include the processed data for each adult for walking at comfortable speed containing spatiotemporal parameters, MoS, joint angles, GRF, joint moments, joint power including every valid step of both legs.The title of this file (27_individual excel files) corresponds to the associated manuscript (submitted to Data in Brief)

本数据集隶属于一篇投稿至《Data in Brief》（《数据简报》）的手稿，该手稿详细阐述了本数据集的内容与布局。数据集概览（包含年龄与性别分组的图表）可在开放科学框架（Open Science Framework, OSF）平台查阅：《健康受试者在虚拟现实环境下于测力跑台上以三种不同速度行走的规范性三维步态数据》。
本数据集包含246名健康成年人的规范性步态数据（男性122名、女性124名，年龄范围18~91岁，体重46.80~116.10 kg，身高1.53~1.97 m，体质量指数（Body Mass Index, BMI）18.25~35.63 kg/m²），并针对三种行走速度条件公开共享。
三维步态分析于马斯特里赫特大学医学中心（Maastricht University Medical Centre, MUMC+）的计算机辅助康复环境（Computer Assisted Rehabilitation Environment, CAREN）中完成。受试者在配备测力系统的跑台上行走，周围布置有12台三维摄像机、3台二维摄像机，并通过搭载带躯干标记点的人体下肢模型（Human Body Lower Limb Model with trunk markers, HBM-II）作为生物力学模型，在180°投影屏幕上呈现虚拟环境。
受试者分别以舒适行走速度、慢30%速度与快30%速度行走，三种速度条件以随机顺序实施。舒适行走速度通过RAMP方案确定：受试者初始以0.5 m/s的速度行走，每秒钟将速度提升0.01 m/s，直至达到舒适速度，取三次重复测试的平均值作为最终舒适速度。每种行走速度条件下，记录250步步态数据。
三维步态数据通过D-flow CAREN软件采集。原始数据在Matlab（MathWorks 2016）软件中完成处理，包括质量校验、步段识别，并将数据导出为xls格式。处理后的数据包含时空参数、内外侧（medio-lateral, ML）与后前向（back-forward, BF）稳定裕度（margin of stability, MoS）、三维关节角度、前后向（anterior-posterior, AP）与垂直地面反作用力（ground reaction forces, GRFs）、双侧下肢的三维关节力矩与三维关节功率。
随附文件包含每位成年人以舒适速度行走时的处理后步态数据，涵盖时空参数、稳定裕度、关节角度、地面反作用力、关节力矩与关节功率，包含双侧下肢的每一组有效步段。本附件（包含27个独立Excel文件）的标题与投稿至《Data in Brief》的相关研究手稿一一对应。