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Lower extremity kinematics from five sampled trials per subject per session utilized for statistical analysis. (JSON)
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创建时间：
2025-01-22
相关数据集
Example data and scripts for: Processing IMU signals to recreate sacral trajectory during treadmill walking
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
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.
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-s
NIAID Data Ecosystem00
Step-by-step variability of swing phase trajectory area during steady state w...
Step kinematic variability has been characterized during gait using spatial and temporal kinematic characteristics. However, people can adopt different trajectory paths both...
B2FIND00
Average measured results over individual strides during remaining functional tests.
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.
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
