Five basic muscle activation patterns account for muscle activity during human locomotion

By Yuri P. Ivanenko, Richard Poppele, Francesco Lacquaniti. Journal of Physiology, 2004

1,059 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Cognitive Neuroscience, Physical Therapy, Sports Therapy and Rehabilitation

View Paper: https://www.semanticscholar.org/paper/8cf246ca13f1d0061d32aa3467375dc51f779791

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In Biomedical Engineering

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Citations in the corpus

Grand Challenge Competition to Predict In Vivo Knee Loads (2011, positive): “For gait, only five synergies are typically required to account for 90% of the variability in all lower extremity EMG signals.(48) From a neural control perspective, muscle synergies provide significant dimensionality reduction and limit the achievable lower extremity EMG patterns.”
Patterned control of human locomotion (2012, background): “Several studies showed systematic correlations between the timing of the activation patterns and the occurrence of specific biomechanical events of the gait cycle (Ivanenko et al. 2003, 2004; Cappellini et al. 2006; Dominici et al. 2011).”
Control of Fast-Reaching Movements by Muscle Synergy Combinations (2006, methodology): “…component analysis or factor analysis (Patla, 1985; Davis and Vaughan, 1993; Olree and Vaughan, 1995; Merkle et al., 1998; Weijs et al., 1999; Ivanenko et al., 2003, 2004; Krishnamoorthy et al., 2003), independent component analysis (McKeown, 2000; Hart and Giszter, 2004), and non-negative…”
Common muscle synergies for balance and walking (2013, methodology): “During locomotion, specific muscle synergies have been associated with a particular phase of the gait cycle (Ivanenko et al., 2004; Krouchev et al., 2006; Clark et al., 2010), despite differences in how muscle synergies are defined (Safavynia and Ting, 2012).”
Parabolic movement primitives and cortical states: merging optimality with geometric invariance (2009, background): “The existence of motor primitives was demonstrated at the level of forces generated by muscles operating on the limbs (Bizzi et al. 1991; Giszter et al. 1993; Nichols 1994; Kargo and Giszter 2000; Mussa-Ivaldi and Bizzi 2000; Mussa-Ivaldi and Solla 2004), at the level of muscle synergies (Tresch et ”
Matrix factorization algorithms for the identification of muscle synergies: evaluation on simulated and experimental data sets. (2006, neutral): “…different behaviors: PCA (Krishnamoorthy et al. 2003; Olree and Vaughan 1995; Soechting and Lacquaniti 1989; Weiss and Flanders 2004), FA (Ivanenko et al. 2003, 2004; Merkle et al. 1998; Sabatini et al. 2002), ICA (Hart and Giszter 2004; Kargo and Nitz 2003), and NMF or related…”
Motor patterns in human walking and running. (2006, methodology): “However, if cross-talk did exist, it would most likely have affected only the weighting coefficients assigned to each component in accounting for the activity of a muscle that was contaminated by cross-talk (Ivanenko et al. 2004b).”
Toward a new theory of motor synergies. (2007, methodology): “PCA has provided a powerful tool for identifying stable groupings of elemental variables (modes) for a variety of motor behaviors (Alexandrov et al., 1998; Ivanenko et al., 2004; Sanger, 2000; Santello et al., 1998; Shim et al., 2005).”