dimensionality reduction

A Fusion Dimension Reduction Method for the Features of Surface Electromyographic Signals

A Fusion Dimension Reduction Method for the Features of Surface Electromyographic Signals 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Surface electromyographic signals (sEMG) usually have high-dimensional properties, and direct processing of these data consumes significant computational resources. Dimensionality reduction processing can reduce the dimension of the data and improve… read more

Different biomechanical variables explain within-subjects versus between-subjects variance in step length asymmetry post-stroke

Author(s)3: Natalia Sánchez, Nicolas Schweighofer, James M. Finley
Different biomechanical variables explain within-subjects versus between-subjects variance in step length asymmetry post-stroke 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Step length asymmetry (SLA) is common in most stroke survivors. Several studies have shown that factors such as paretic propulsion can explain between-subjects differences in SLA. However, whether the factors…

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