Matrix factorization algorithms for the identification of muscle synergies: Evaluation on simulated and experimental data sets

INIS

• data 100%
• algorithms 100%
• muscles 66%
• factorization 50%
• matrices 41%
• noise 33%
• simulation 25%
• signals 25%
• principal component analysis 25%
• performance 16%
• experimental data 16%
• evaluation 8%
• levels 8%
• range 8%
• comparative evaluations 8%
• constraints 8%
• hypothesis 8%
• guidelines 8%
• values 8%
• probabilistic estimation 8%
• rotation 8%

Computer Science

• Algorithms 75%
• Independent Component Analysis 50%
• Matrix Factorization 41%
• Activation Pattern 25%
• Component Analysis 25%
• Principal Component 25%
• Signal-dependent Noise 25%
• Factorization Algorithm 25%
• Activation 16%
• Simulated Data 8%
• Gaussian Noise 8%
• Likelihood Ratio 8%
• Physiological Data 8%
• Constant Variance 8%
• Procedures 8%
• Evaluation 8%
• Identification 8%
• Artifacts 8%

Biochemistry, Genetics and Molecular Biology

• Noise 33%
• Factor Analysis 33%
• Principal Component Analysis 25%
• Aptitude 16%
• Rotation 8%