Best 50 fall-risk classifier models based on DT gait data.
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Best 50 fall-risk classifier models based on DT gait data.
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创建时间：
2016-04-08
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
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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
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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...
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Results of the Poisson regression model predicting history of falls for subjects included in the study who underwent visual performance assessment with the Performance-Centered Portable Test processing speed parameter.
PERCEPT, PERformance CEntered Portable Test; STD, standard deviation of torque moments.Results of the Poisson regression model predicting history of falls for subjects included in the study who underw
Figshare2015-12-03 更新30
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
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