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This is a database about a research that analyzed gait speed, frailty and sarcopenia in elderly woman.
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创建时间:
2024-04-29
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
Muscle mass, grip strength, mobility and risk factors.
Muscle mass, grip strength, mobility and risk factors.
Figshare2017-09-13 更新00
Table_3_A Deep Learning Model to Automate Skeletal Muscle Area Measurement on Computed Tomography Images.xlsx
BackgroundMuscle wasting (Sarcopenia) is associated with poor outcomes in cancer patients. Early identification of sarcopenia can facilitate nutritional and exercise intervention. Cross-sectional skel
NIAID Data Ecosystem50
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



