Gait Index dataset

This dataset contains gait analysis data from 120 healthy individuals, aimed at assessing and quantifying overall gait quality through a novel gait index. Key gait parameters include walking speed, maximum knee flexion angle, stride length, and stance-swing phase ratio. Additionally, demographic information such as gender, age, height, weight, and BMI is provided for each subject. These parameters were systematically selected for their significance in indicating gait mechanics and deviations from normal gait patterns. This dataset offers essential metrics for preliminary gait assessment, facilitating improved mobility outcomes, personalized rehabilitation programs, and preventive care strategies.

本数据集收录了120位健康个体的步态分析数据，旨在通过一种新颖的步态指数评估和量化整体步态质量。关键步态参数包括行走速度、最大膝关节屈曲角度、步幅长度以及站立-摆动阶段比率。此外，还为每位受试者提供了人口统计学信息，如性别、年龄、身高、体重和BMI指数。这些参数均经过系统选择，因其对指示步态力学和步态模式正常偏差的重要性。本数据集提供了初步步态评估的必要指标，有助于提升移动能力、制定个性化的康复计划以及预防性护理策略。

搜集汇总

背景与挑战

背景概述

该数据集包含120名健康个体的步态分析数据，旨在通过一种新的步态指数评估和量化整体步态质量。关键步态参数包括步行速度、最大膝关节屈曲角度、步长和站立-摆动相位比，同时提供了性别、年龄、身高、体重和BMI等人口统计信息，适用于步态力学研究和康复项目。