The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Five basic muscle activation patterns account for muscle activity during human locomotion
Abstract
An electromyographic (EMG) activity pattern for individual muscles in the gait cycle exhibits a great deal of intersubject, intermuscle and context‐dependent variability. Here we examined the issue of common underlying patterns by applying factor analysis to the set of EMG records obtained at different walking speeds and gravitational loads. To this end healthy subjects were asked to walk on a treadmill at speeds of 1, 2, 3 and 5kmh−1 as well as when 35–95% of the body weight was supported using a harness. We recorded from 12–16 ipsilateral leg and trunk muscles using both surface and intramuscular recording and determined the average, normalized EMG of each record for 10–15 consecutive step cycles. We identified five basic underlying factors or component waveforms that can account for about 90% of the total waveform variance across different muscles during normal gait. Furthermore, while activation patterns of individual muscles could vary dramatically with speed and gravitational load, both the limb kinematics and the basic EMG components displayed only limited changes. Thus, we found a systematic phase shift of all five factors with speed in the same direction as the shift in the onset of the swing phase. This tendency for the factors to be timed according to the lift‐off event supports the idea that the origin of the gait cycle generation is the propulsion rather than heel strike event. The basic invariance of the factors with walking speed and with body weight unloading implies that a few oscillating circuits drive the active muscles to produce the locomotion kinematics. A flexible and dynamic distribution of these basic components to the muscles may result from various descending and proprioceptive signals that depend on the kinematic and kinetic demands of the movements.
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Citations
Cites
An Index of Factorial Simplicity
Kaiser, H. F. (1974) · Psychometrika · doi:10.1007/bf02291575 · Cited by 14,898
On the function of muscle and reflex partitioning
Windhorst, U., Hamm, T. M., & Stuart, D. G. (1989) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00024985 · Cited by 182
Cited by
Motor Patterns in Human Walking and Running
Cappellini, G., Ivanenko, Y. P., Poppele, R. E., & Lacquaniti, F. (2006) · Journal of Neurophysiology · doi:10.1152/jn.00081.2006 · Cited by 798
Self-citationMuscle Synergy Organization Is Robust Across a Variety of Postural Perturbations
Torres-Oviedo, G., Macpherson, J. M., & Ting, L. H. (2006) · Journal of Neurophysiology · doi:10.1152/jn.00810.2005 · Cited by 490
Clark, D. J. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00246 · Cited by 441
Muscle Synergies: Implications for Clinical Evaluation and Rehabilitation of Movement
Safavynia, S., Torres-Oviedo, G., & Ting, L. (2011) · Topics in Spinal Cord Injury Rehabilitation · doi:10.1310/sci1701-16 · Cited by 296
Effect of power output on muscle coordination during rowing
Turpin, N. A., Guével, A., Durand, S., & Hug, F. (2011) · European Journal of Applied Physiology · doi:10.1007/s00421-011-1928-x · Cited by 66
Metadata
- Authors
- Ivanenko, Y. P., Poppele, R. E., & Lacquaniti, F.
- Venue
- The Journal of Physiology
- Publisher
- Wiley
- Published
- 2004-03-30
- Volume
- 556
- Issue
- 1
- Pages
- 267-282
- ISSN
- 0022-3751 (ISSN-L)
- 1469-7793
- OpenAlex
- W2108315391
- Cited by
- 1,072
- References
- 2
- FWCI
- 14.13
- Type
- journal article
- Language
- en
- Open access
- closed
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- Ivanenko, Y. P., Poppele, R. E., & Lacquaniti, F. (2004). Five basic muscle activation patterns account for muscle activity during human locomotion. The Journal of Physiology. https://doi.org/10.1113/jphysiol.2003.057174
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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