Mixed matrix factorization: a novel algorithm for the extraction of kinematic-muscular synergies

• Published in: Journal of neurophysiology Vol. 127; no. 2; pp. 529 - 547
• Main Authors: Scano, Alessandro, Mira, Robert Mihai, d’Avella, Andrea
• Format: Journal Article
• Language: English
• Published: United States 01.02.2022
• Subjects: Adult; Algorithms; Biomechanical Phenomena - physiology; Electromyography; Humans; Muscle, Skeletal - physiology; Neurophysiology - methods; Upper Extremity - physiology; kinematic-muscular synergies; kinematics; gradient descent algorithm; synergy extraction; EMG

The mixed matrix factorization (MMF) is a novel method for extracting kinematic-muscular synergies. The previous state of the art algorithm (NMFpn) factorizes separately positive and rectified negative waveforms; the MMF instead employs a gradient descent method to factorize from mixed kinematic unc...