RNN Data

Figshare2024-09-06 更新2026-04-28 收录

步态分析

疾病严重程度分类

数据链接：

https://figshare.com/articles/dataset/RNN_Data/26341582 数据链接链接失效反馈

官方服务：

资源简介：

The zip file contains every trials of participants to be used in the RNN models for healthy-patient, affected-unaffected leg, and severity grades classifications.

创建时间：

2024-09-06

Example data and scripts for: Processing IMU signals to recreate sacral trajectory during treadmill walking

步态分析

运动轨迹重建

Example IMU data and scripts for reconstructing the trajectory of a sacral IMU and validation with motion capture data. Also contains example code of gait event detection and synchronization., , Matla

DataONE2023-06-02 更新60

Average measured results over individual strides during remaining functional tests.

步态分析

运动功能评估

Reported as mean ± standard deviation. Significant differences are highlighted. Abbreviations are as follows: press. (pressure), accel. (acceleration), mag. (magnitude).

Figshare2018-10-22 更新20

Kinematics (joint angle) descriptions.

步态分析

神经肌肉疾病

H: affected lower limb in children with hemiplegia or R: right lower limb in children with mild scoliosis; UH: unaffected lower limb in children with hemiplegia or L: left lower limb in children with

Figshare2015-12-02 更新00

Gait_Parameters

步态分析

认知负荷与双任务干扰

Gait parameters data extracted from experimental study: 'Gait parameters are differently affected by concurrent smartphone-based activities with scaled levels of cognitive effort'.Please refer to the

NIAID Data Ecosystem50

Features (mean and variability) with highest weight value based on different subsets, the best performing variability, the average performance results of the SVM classification models from leave-one-subject-out cross validation (reported as mean ± standard deviation), and the number of strides per subset.

步态分析

运动模式识别

NIAID Data Ecosystem00