偏瘫患者运动功能障碍特征临床数据集

本数据集由迈步机器人科技有限公司和北京工业大学于2023年8月在中南医院得到，主要经过了外骨骼训练数据采集、数据处理与偏瘫特征矩阵提取的实施过程，外骨骼训练数据采集主要基于迈步康复外骨骼系统实现，采集了偏瘫患者在进行康复训练行走过程中的关节角度（髋、膝、踝）；关节角速度、角加速度；足底压力分布等运动数据，经过数据滤波、插值、归一化处理，提取患者特征矩阵，每行对应一个时间步的特征向量。数据量大小为85M。This dataset was collected in August 2023 at Zhongnan Hospital by Mobei Robotics Technology Co., Ltd. and Beijing University of Technology. It mainly involves three implementation stages: exoskeleton training data collection, data processing and hemiplegia feature matrix extraction. The exoskeleton training data collection was implemented based on the Mobei Rehabilitation Exoskeleton System, which collected motion data of hemiplegic patients during rehabilitation walking training, including joint angles (hip, knee, ankle), joint angular velocity, angular acceleration, and plantar pressure distribution. After data filtering, interpolation and normalization processing, the patient feature matrix was extracted, where each row corresponds to a feature vector of one time step. The total data size is 85 MB.

搜集汇总

背景与挑战

背景概述

该数据集由迈步机器人科技有限公司和北京工业大学合作采集，包含偏瘫患者康复训练行走过程中的关节角度、角速度、角加速度及足底压力分布等运动数据，经过滤波、插值、归一化处理后形成特征矩阵，数据量为85MB，包含57个CSV和DOCX格式文件。