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Models of recruitment and rate coding organization in motor-unit pools.
Abstract
1. Isometric muscle force and the surface electromyogram (EMG) were simulated from a model that predicted recruitment and firing times in a pool of 120 motor units under different levels of excitatory drive. The EMG-force relationships that emerged from simulations using various schedules of recruitment and rate coding were compared with those observed experimentally to determine which of the modeled schemes were plausible representations of the actual organization in motor-unit pools. 2. The model was comprised of three elements: a motoneuron model, a motor-unit force model, and a model of the surface EMG. Input to the neuron model was an excitatory drive function representing the net synaptic input to motoneurons during voluntary muscle contractions. Recruitment thresholds were assigned such that many motoneurons had low thresholds and relatively few neurons had high thresholds. Motoneuron firing rate increased as a linear function of excitatory drive between recruitment threshold and peak firing rate levels. The sequence of discharge times for each motoneuron was simulated as a random renewal process. 3. Motor-unit twitch force was estimated as an impulse response of a critically damped, second-order system. Twitch amplitudes were assigned according to rank in the recruitment order, and twitch contraction times were inversely related to twitch amplitude. Nonlinear force-firing rate behavior was simulated by varying motor-unit force gain as a function of the instantaneous firing rate and the contraction time of the unit. The total force exerted by the muscle was computed as the sum of the motor-unit forces. 4. Motor-unit action potentials were simulated on the basis of estimates of the number and location of motor-unit muscle fibers and the propagation velocity of the fiber action potentials. The number of fibers innervated by each unit was assumed to be directly proportional to the twitch force. The area of muscle encompassing unit fibers was proportional to the number of fibers innervated, and the location of motor-unit territories were randomly assigned within the muscle cross section. Action-potential propagation velocities were estimated from an inverse function of contraction time. The train of discharge times predicted from the motoneuron model determined the occurrence of each motor-unit action potential. The surface EMG was synthesized as the sum of all motor-unit action-potential trains. 5. Two recruitment conditions were tested: narrow (limit of recruitment < 50% maximum excitation) and broad recruitment range conditions (limit of recruitment > 70% maximum excitation).(ABSTRACT TRUNCATED AT 400 WORDS)
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“Firing rates were excluded from further analysis when the coefficient of variation in mean firing rate was greater than 30% or when the number of firings was lower than two, i.e., one firing (Fuglevand et al., 1993).”
From Effect of resistance training and fish protein intake on motor unit firing pattern and motor function of elderly (2018) · cites this paper as Fuglevand et al., 1993
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Neural Adaptations with Chronic Activity Patterns in Able-Bodied Humans
Duchateau, J., & Enoka, R. M. (2002) · American Journal of Physical Medicine & Rehabilitation · doi:10.1097/00002060-200211001-00004 · Cited by 109
“The relative contributions of the declines in motor unit force and maximal discharge rate to whole-muscle force can be evaluated with a model that has been developed for hand muscles.(74) The model comprises 100 motor units with properties that are based on experimental measurements.”
MethodChen, C., Ma, S., Sheng, X., Farina, D., & Zhu, X. (2020) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2020.2989311 · Cited by 104
Dideriksen, J. L., Enoka, R. M., & Farina, D. (2011) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00186.2011 · Cited by 108
Factors Influencing the Estimates of Correlation between Motor Unit Activities in Humans
Negro, F., & Farina, D. (2012) · PLoS ONE · doi:10.1371/journal.pone.0044894 · Cited by 111
Biomechanical benefits of the onion-skin motor unit control scheme
Luca, C. J. D., & Contessa, P. (2014) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2014.12.003 · Cited by 103
“For the FDI, we use the gain function derived by Fuglevand et al. (1993): g i j ¼ 1–e À 2 Tri =IPIj ð Þ 3 h i Tr i =IPI j À Á when Tr i =IPI j 4 0:4 and g ij ¼ 1 when Tr i =IPI j r 0:4 ð10Þ where g ij is the gain assigned to the jth firing of motor unit i, Tr i is the rise time of motor unit i, and…”
Modeling Variability of Force During Isometric Contractions of the Quadriceps Femoris
Christou, E. A., Grossman, M. B., & Carlton, L. G. (2002) · Journal of Motor Behavior · doi:10.1080/00222890209601932 · Cited by 105
Tracy, B. L., Byrnes, W. C., & Enoka, R. M. (2004) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00861.2003 · Cited by 108
“Although it is possible that the motor unit mechanisms underlying the force fluctuations may be less evident in a large muscle mass such as quadriceps femoris (11), there were significant methodological differences between the studies that have been performed on quadriceps femoris and those that have examined other mu…”
Williams, E. R., & Baker, S. N. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.0272-09.2009 · Cited by 103
“Fuglevand et al. (1993) developed a model to incorporate these nonlinearities in force production, which was used here.”
MethodA Physiologically Based, Multi-Scale Model of Skeletal Muscle Structure and Function
Röhrle, O., Davidson, J. B., & Pullan, A. J. (2012) · Frontiers in Physiology · doi:10.3389/fphys.2012.00358 · Cited by 100
“motor-unit territory sizes proportional to the number of fibers per motor unit (Fuglevand et al., 1993; Roy et al., 1995; Yao et al., 2000; Monti et al., 2001), 6.”
BackgroundGlaser, V., & Holobar, A. (2018) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2018.2885283 · Cited by 96
“MU recruitment and spike trains were generated by the model proposed in [7] with the parameters adapted for the biceps brachii muscle.”
MethodLowery, M. M., Vaughan, C. L., Nolan, P., et al. (2000) · IEEE Transactions on Rehabilitation Engineering · doi:10.1109/86.867877 · Cited by 99
“The fiber transmembrane potential was represented by a multipole consisting of 50-point current sources, described by an empirically derived algebraic expression [34], Table I, rather than the more commonly used dipole or tripole representations [36], [37], [41].”
MethodAoi, S., Ogihara, N., Funato, T., Sugimoto, Y., & Tsuchiya, K. (2010) · Biological Cybernetics · doi:10.1007/s00422-010-0373-y · Cited by 98
EMG-based analysis of change in muscle activity during simulated driving
Balasubramanian, V., & Adalarasu, K. (2007) · Journal of Bodywork and Movement Therapies · doi:10.1016/j.jbmt.2006.12.005 · Cited by 98
Meyers, B. M., & CAFARELLI, E. (2005) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00937.2004 · Cited by 95
“To accept a train of spikes, a minimum of five interspike intervals was required during a constant level of force and the mean interspike interval had to have a coefficient of variation 30% (15).”
BackgroundNeurobiology of Muscle Fatigue
Gandevia, S. C., Enoka, R. M., McComas, A. J., et al. (1995) · Advances in experimental medicine and biology · doi:10.1007/978-1-4899-1016-5_39 · Cited by 96
Abdelmoula, A., Baudry, S., & Duchateau, J. (2016) · Neuroscience · doi:10.1016/j.neuroscience.2016.02.025 · Cited by 95
“…muscle fibers, the synaptic drive received by the spinal motor neurons should increase, as reflected by the increase in the electromyogramme (EMG) activity of the active muscles (Fuglevand et al., 1993; Hunter et al., 2003; Søgaard et al., 2006; Klass et al., 2008; Le´ve´nez et al., 2008).”
BackgroundJohnson, M. D., Thompson, C. K., Tysseling, V. M., Powers, R. K., & Heckman, C. J. (2017) · Journal of Neurophysiology · doi:10.1152/jn.00018.2017 · Cited by 93
“…pool (defined as the set of motoneurons innervating a single muscle), which were based on the properties of motoneurons in deeply anesthetized preparations without significant levels of neuromodulation, revealed an approximately sigmoidal form (Fuglevand et al. 1993; Heckman and Binder 1991b).”
BackgroundA continuum constitutive model for the active behaviour of skeletal muscle
Ehret, A. E., Böl, M., & Itskov, M. (2010) · Journal of the Mechanics and Physics of Solids · doi:10.1016/j.jmps.2010.12.008 · Cited by 94
Mesin, L., Cescon, C., Gazzoni, M., Merletti, R., & Rainoldi, A. (2009) · Journal of Electromyography & Kinesiology · doi:10.1016/j.jelekin.2008.08.003 · Cited by 99
Muscle fatigue – from motor units to clinical symptoms
Enoka, R. M. (2011) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2011.11.047 · Cited by 93
“3) based on an earlier model of motor unit recruitment and rate coding (Fuglevand et al. 1993a).”
MethodFeeney, D. F., Mani, D., & Enoka, R. M. (2018) · The Journal of Physiology · doi:10.1113/jp275658 · Cited by 90
“2012), the relatively small amount of force contributed by a single motor unit to the cumulative sum of the motor output (Fuglevand et al. 1993), and the low-pass filtering effect of muscles (Partridge, 1965; Baldissera, 1998) and motor neurons themselves (Farina et al.”
BackgroundIndependence between the amount and structure of variability at low force levels
Sosnoff, J. J., Valantine, A. D., & Newell, K. M. (2005) · Neuroscience Letters · doi:10.1016/j.neulet.2005.09.010 · Cited by 92
Motor-Unit Synchronization Alters Spike-Triggered Average Force in Simulated Contractions
Taylor, A. M., Steege, J. W., & Enoka, R. M. (2002) · Journal of Neurophysiology · doi:10.1152/jn.2002.88.1.265 · Cited by 87
“Motor-Unit Synchronization Alters Spike-Triggered Average Force in Simulated Contractions”
BackgroundMethodResultInfluentialMasani, K., Vette, A. H., Kawashima, N., & Popović, M. R. (2008) · Journal of Neurophysiology · doi:10.1152/jn.00801.2007 · Cited by 90
Patterns of motor recruitment can be determined using surface EMG
Wakeling, J. M. (2007) · Journal of Electromyography and Kinesiology · doi:10.1016/j.jelekin.2007.09.006 · Cited by 90
Christou, E. A., Shinohara, M., & Enoka, R. M. (2003) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00060.2003 · Cited by 87
“The reduction in discharge rate likely includes an increased variability in discharge (12, 23, 29, 30), which can decrease twitch fusion and increase the fluctuations in the forces exerted by individual motor units (12, 14).”
BackgroundBlind Separation of Linear Instantaneous Mixtures of Nonstationary Surface Myoelectric Signals
Farina, D., Févotte, C., Doncarli, C., & Merletti, R. (2004) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2004.828048 · Cited by 88
Both Corticospinal and Reticulospinal Tracts Control Force of Contraction
Glover, I. S., & Baker, S. N. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.0627-21.2022 · Cited by 86
“Increases in both rate and recruitment result from raised synaptic drive to motoneurons (Fuglevand et al., 1993).”
BackgroundNeural control of muscle force: indications from a simulation model
Contessa, P., & Luca, C. J. D. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00237.2012 · Cited by 87
“Noise is introduced by adjusting the firing instance of each pulse in the train following the equation (Fuglevand et al. 1993): ti,j ti,j 1 Z , (12) where ti,j is the time of the jth firing instance of motor unit i, ti,j 1 is the time occurrence of the preceding firing, is the mean firing rate of…”
InfluentialHeckman, C. J., & Enoka, R. M. (2012) · Comprehensive physiology · doi:10.1002/j.2040-4603.2012.tb00465.x · Cited by 87
Influence of motor unit properties on the size of the simulated evoked surface EMG potential
Keenan, K. G., Farina, D., Merletti, R., & Enoka, R. M. (2005) · Experimental Brain Research · doi:10.1007/s00221-005-0126-7 · Cited by 84
“Motor unit properties The size of the evoked muscle potential is often monitored as a test of the efficacy of a stimulus to activate the motor unit pool in healthy subjects (Bigland-Ritchie et al. 1982; Fuglevand et al. 1993b; Zehr 2002) and patients (Chisari et al. 2001).”
BackgroundMethodInfluentialBoe, S. G., Stashuk, D. W., Brown, W. F., et al. (2004) · Muscle & Nerve · doi:10.1002/mus.20266 · Cited by 86
Decorrelation of cortical inputs and motoneuron output
Negro, F., & Farina, D. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00336.2011 · Cited by 83
“The motoneuron parameters were the same as those used by Cisi and Kohn (2008; see their Table 2) and were selected according to an exponential distribution over the pool of motoneurons (Fuglevand et al. 1993; Powers and Binder 1985).”
Recruitment of low threshold motor-units in the trapezius muscle in different static arm positions
Kadefors, R. (1999) · Ergonomics · doi:10.1080/001401399185711 · Cited by 83
Distribution of motor unit properties across human muscles
Duchateau, J., & Enoka, R. M. (2021) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00290.2021 · Cited by 79
Dideriksen, J. L., Farina, D., & Enoka, R. M. (2010) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2010.0094 · Cited by 80
Grabiner, M. D., & Owings, T. M. (2002) · Experimental Brain Research · doi:10.1007/s00221-002-1129-2 · Cited by 79
A simulation study of reflex instability in spasticity: origins of clonus
Hidler, J. M., & Rymer, W. Z. (1999) · IEEE Transactions on Rehabilitation Engineering · doi:10.1109/86.788469 · Cited by 79
Röhrle, O., Yavuz, U. Ş., Klotz, T., Negro, F., & Heidlauf, T. (2019) · WIREs Systems Biology and Medicine · doi:10.1002/wsbm.1457 · Cited by 83
“…models of the neuromuscular system that significantly contributed to the knowledge of neuromuscular physiology, for example, the works by Fuglevand, Winter, and Patla (1993) and Heckman and Binder (1991), detailed structural and biophysical models of skeletal muscle contraction and the…”
BackgroundMethodInfluentialA finite element model for describing the effect of muscle shortening on surface EMG
Mesin, L., Joubert, M., Hanekom, T., Merletti, R., & Farina, D. (2006) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2006.870256 · Cited by 79
Sbriccoli, P., Bazzucchi, I., Rosponi, A., et al. (2003) · Journal of Electromyography and Kinesiology · doi:10.1016/s1050-6411(02)00098-6 · Cited by 78
“However, modeling work [16] as well as experimental evidence from animal [28] and human studies [18,22] clarified some of the underlying rules.”
BackgroundInfluentialDivergent response of low‐ versus high‐threshold motor units to experimental muscle pain
Martinez‐Valdes, E., Negro, F., Farina, D., & Falla, D. (2020) · The Journal of Physiology · doi:10.1113/jp279225 · Cited by 78
“The combination of the parameters used in the simulations was selected based on previous experimental results on the behaviour of motor units in healthy individuals (e.g. Fuglevand et al. 1993).”
MethodPhysiology of the motor neuron and the motor unit
Heckman, C. J., & Enoka, R. M. (2004) · Handbook of clinical neurophysiology · doi:10.1016/s1567-4231(04)04006-7 · Cited by 79
“Furthermore, because the system is an assemblage of many motor units acting in parallel, the twitches induced by a single motor unit are relatively small compared with the muscle forces that occur during most movements (Heckman and Binder, 1991; Fuglevand et al., 1993).”
BackgroundFarina, D., Cescon, C., Negro, F., et al. (2008) · Journal of Neurophysiology · doi:10.1152/jn.90365.2008 · Cited by 76
Synaptic control of the shape of the motoneuron pool input-output function
Powers, R. K., & Heckman, C. J. (2017) · Journal of Neurophysiology · doi:10.1152/jn.00850.2016 · Cited by 72
“In those simulations, it was primarily due to the attainment of maximal force outputs of the muscle fibers, especially in high-threshold, high-force motor units (Fuglevand et al. 1993; Heckman and Binder 1991).”
BackgroundMethodInfluentialA Muscle’s Force Depends on the Recruitment Patterns of Its Fibers
Wakeling, J. M., Lee, S. S. M., Arnold, A. S., Miara, M. D. B., & Biewener, A. A. (2012) · Annals of Biomedical Engineering · doi:10.1007/s10439-012-0531-6 · Cited by 76
“…properties of muscle fibres vary between fibre types (e.g. Burke et al. 1971; Bottinelli and Reggiani, 2000), so it is likely that the force developed by a whole muscle depends on the recruitment patterns and contractile properties of the different fibres within it (Fuglevand et al. 1993).”
Real-time isometric finger extension force estimation based on motor unit discharge information
Zheng, Y., & Hu, X. (2019) · Journal of Neural Engineering · doi:10.1088/1741-2552/ab2c55 · Cited by 76
Simulation of motor unit recruitment and microvascular unit perfusion: spatial considerations
Fuglevand, A. J., & Segal, S. S. (1997) · Journal of Applied Physiology · doi:10.1152/jappl.1997.83.4.1223 · Cited by 75
“The number of fibers assigned to each motor unit was determined on the basis of the following experimental observations and assumptions (19).”
BackgroundSelf-citationNeural and muscular determinants of maximal rate of force development
Dideriksen, J. L., Vecchio, A. D., & Farina, D. (2019) · Journal of Neurophysiology · doi:10.1152/jn.00330.2019 · Cited by 75
“Furthermore, the proportion of type II muscle fibers in the first dorsal 120 interosseous is approximately 50% (Fuglevand et al., 1993; Enoka and Fuglevand, 2001)while it is 30% in 121 the tibialis anterior (Henriksson-Larsén et al., 1983).”
BackgroundMethodInfluentialConventionally assessed voluntary activation does not represent relative voluntary torque production
Kooistra, R. D., de Ruiter, C. J., & HAAN, A. D. (2007) · European Journal of Applied Physiology · doi:10.1007/s00421-007-0425-8 · Cited by 79
“Based on a modelling study of motor-unit pools, Fuglevand et al. (1993) indicate that the difference between muscles that exhibit the linear as opposed to the nonlinear form of the EMG–torque relationship may be related to differences in firing rate behaviour rather than due to differences in…”
BackgroundVette, A. H., Masani, K., Nakazawa, K., & Popović, M. R. (2010) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2009.2037891 · Cited by 72
Biophysics of the Generation of EMG Signals
Farina, D., Merletti, R., & Stegeman, D. F. (2004) · doi:10.1002/0471678384.ch4 · Cited by 73
Learning from biological systems: modeling neural control
He, J., Maltenfort, M., Wang, Q., et al. (2001) · IEEE Control Systems · doi:10.1109/37.939944 · Cited by 72
Fuglevand, A. J., Lester‐Smith, R. A., & Johns, R. K. (2014) · Journal of Neurophysiology · doi:10.1152/jn.00777.2014 · Cited by 71
Self-citationBarbado, D., Sabido, R., Vera-García, F. J., et al. (2012) · Human Movement Science · doi:10.1016/j.humov.2012.01.002 · Cited by 72
Heidlauf, T., & Röhrle, O. (2014) · Frontiers in Physiology · doi:10.3389/fphys.2014.00498 · Cited by 75
“The fiber compartments in series-fibered muscle can either be separated by tendinous inscriptions, as, for example, in cat and human semitendinosus muscle, or the muscle fibers are arranged in short overlapping arrays (Loeb et al., 1987; Paul, 2001; Woodley and Mercer, 2005).”
BackgroundSurface Electromyography: What Limits Its Use in Exercise and Sport Physiology?
Felici, F., & Vecchio, A. D. (2020) · Frontiers in Neurology · doi:10.3389/fneur.2020.578504 · Cited by 72
Holobar, A., & Farina, D. (2021) · IEEE Signal Processing Magazine · doi:10.1109/msp.2021.3057051 · Cited by 70
Roatta, S., Arendt‐Nielsen, L., & Farina, D. (2008) · The Journal of Physiology · doi:10.1113/jphysiol.2008.160770 · Cited by 69
“The developed torque for each motor unit was obtained by convolution of eqn (3) with the simulated discharge pattern of the unit (Fuglevand et al. 1993).”
MethodInfluentialCresswell, A. G., & Löscher, W. N. (2000) · European Journal of Applied Physiology · doi:10.1007/s004210050662 · Cited by 70
“A modelling study has demonstrated that spontaneous regular bursting at high frequencies (approximately 40±50 Hz) occurs in the surface EMG signal, when many independent motor units began to discharge at about the same ®ring rate (Fuglevand et al. 1993a).”
BackgroundMethodVariability of quadriceps femoris motor neuron discharge and muscle force in human aging
Welsh, S. J., Dinenno, D. V., & Tracy, B. L. (2007) · Experimental Brain Research · doi:10.1007/s00221-006-0785-z · Cited by 69
“The experimentally-determined values for discharge variability, obtained across a range of activation levels, enhanced the ability of a mathematical model (Fuglevand et al. 1993) to reproduce the force variability (Moritz et al. 2005).”
BackgroundEMG Signal Filtering Based on Variational Mode Decomposition and Sub-Band Thresholding
Ma, S., Lv, B., Lin, C., Sheng, X., & Zhu, X. (2020) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2020.2987528 · Cited by 67
“The recruitment thresholds of motor neurons were distributed in accordance with the principle proposed in [31].”
MethodChanges in motor unit behavior following isometric fatigue of the first dorsal interosseous muscle
McManus, L. M., Hu, X., Rymer, W. Z., et al. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00146.2015 · Cited by 68
“…amplitude as an index of muscle activation, an increase during and immediately following sustained submaximal contractions is usually considered to indicate an enhancement of the central drive (Bigland-Ritchie et al. 1986b; Fuglevand et al. 1993a), although it can be influenced by surges in Na -”
InfluentialCorticospinal contributions to lower limb muscle activity during cycling in humans
Sidhu, S. K., Hoffman, B. W., Cresswell, A. G., et al. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00212.2011 · Cited by 68
“It is well established that the size of MEPs increases with voluntary EMG (Farina et al. 2004; Fuglevand et al. 1993; Rothwell et al. 1991).”
Gallego, J. A., Dideriksen, J. L., Holobar, A., Ibanez, J., Glaser, V., Romero, J. P., Benito-Leon, J., Pons, J. L., Rocon, E., & Farina, D. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.0106-15.2015 · Cited by 67
“Motor unit force was simulated based on the motoneuron discharge rate using a model of isometric force (Fuglevand et al., 1993), and scaled according to force–length and force– velocity relations (Zajac, 1989).”
BackgroundMethodRelationships between surface EMG variables and motor unit firing rates
Christie, A. D., Inglis, J. G., Kamen, G., et al. (2009) · European Journal of Applied Physiology · doi:10.1007/s00421-009-1113-7 · Cited by 66
“…and recording electrode, factors such as changes in muscle Wber conduction velocity, motor unit recruitment, and motor unit synchronization will alter the amplitude of the surface EMG, independent of Wring rate (Fuglevand et al. 1993; Person and Libkind 1970; Yao et al. 2000; Zhou and Rymer 2004).”
BackgroundCarpinelli, R. N. (2008) · Cited by 67
Daily durations of spontaneous activity in cat’s ankle muscles
Hensbergen, E., & Kernell, D. (1997) · Experimental Brain Research · doi:10.1007/pl00005701 · Cited by 66
Frančič, A., & Holobar, A. (2021) · IEEE Access · doi:10.1109/access.2021.3104762 · Cited by 64
“The MU firing pattern was generated as per [18], with the parameters adapted to the BB muscle.”
MethodSurface electromyogram signal modelling
McGill, K. C. (2004) · Medical and Biological Engineering and Computing · doi:10.1007/bf02350985 · Cited by 63
Wen, Y., Avrillon, S., Hernandez-Pavon, J. C., Kim, S. J., Hug, F., & Pons, J. L. (2021) · Journal of Neural Engineering · doi:10.1088/1741-2552/abeead · Cited by 65
Investigation of motor unit recruitment during stimulated contractions of tibialis anterior muscle
Mesin, L., Merlo, E., Merletti, R., & Orizio, C. (2009) · Journal of Electromyography and Kinesiology · doi:10.1016/j.jelekin.2009.11.008 · Cited by 64
“…corresponding to the largest MU, for which msRPTT LN 30/ ); 3) a non-linear (sigmoid) relation between force and stimulus rate as described in (Fuglevand et al 1993) was finally included in the model introducing a gain factor ng 10 depending on the n th MU considered and on the firing…”
BackgroundMethodFattorini, L., Felici, F., Filligoi, G. C., Traballesi, M., & Farina, D. (2004) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2004.09.018 · Cited by 64
“T U fiber density was 20 fibers/mm2 while the fiber densit n the muscle was 200 fibers/mm2 (Fuglevand et al., 1993). he EMG recording system was bipolar with 20 mm in lectrode distance.”
The amplitude of force variability is correlated in the knee extensor and elbow flexor muscles
Tracy, B. L., Mehoudar, P. D., & Ortega, J. D. (2006) · Experimental Brain Research · doi:10.1007/s00221-006-0631-3 · Cited by 64
A myoelectric digital twin for fast and realistic modelling in deep learning
Maksymenko, K., Clarke, A. K., Guerra, I. M., Deslauriers‐Gauthier, S., & Farina, D. (2023) · Nature Communications · doi:10.1038/s41467-023-37238-w · Cited by 63
“Linear or non-linear rate coding models can be used 46 – 48 .”
MethodSurface electromyographic amplitude normalization methods: a review
Sousa, A. S. P., & Tavares, J. M. R. S. (2012) · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · Cited by 63
Reinkensmeyer, D. J., Guigon, E., & Maier, M. A. (2012) · Neural Networks · doi:10.1016/j.neunet.2012.02.002 · Cited by 61
“This saturation, well-documented experimentally (Powers & Binder, 2001) and included in many models of the motoneuron pool (Fuglevand et al., 1993; Zhou, Suresh, & Rymer, 2007), was a key factor that influenced the simulated recovery dynamics, as described below.”
Williams, E. R., & Baker, S. N. (2008) · Journal of Neurophysiology · doi:10.1152/jn.90362.2008 · Cited by 62
“Fuglevand et al. (1993) developed a model to incorporate these nonlinearities in force production.”
Effects of age on force steadiness: A literature review and meta -analysis
Oomen, N. M. C. W., & van Dieën, J. H. (2016) · Ageing Research Reviews · doi:10.1016/j.arr.2016.11.004 · Cited by 64
“This effect of ageing is especially noticeable t low forces, where each motor unit has a large contribution to he net force (Fuglevand et al., 1993).”
Lynn, S. K., Watkins, C. M., Wong, M. A., et al. (2018) · PubMed · Cited by 63
Dai, C., & Hu, X. (2019) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2019.04.033 · Cited by 62
Evaluation of the EMG–force relationship of trunk muscles during whole body tilt
Anders, C., Brose, G., Hofmann, G. O., et al. (2007) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2007.09.008 · Cited by 62
“A simulation approach (Fuglevand et al., 1993) including different maximum but fixed firing rates and recruitment ranges of all respective MUs revealed contrasting results; only if MUs were recruited over a broad force range, could a linear SEMG amplitude–force relationship be seen.”
ResultMotoneurons: A preferred firing range across vertebrate species?
Hornby, T. G., McDonagh, J. C., Reinking, R. M., & Stuart, D. G. (2002) · Muscle & Nerve · doi:10.1002/mus.10105 · Cited by 63
“This latter comparison is justifiable on the basis that slowly increasing muscle force may be related in a near-linear manner to a slowly increasing depolarizing pressure on the MNs whose axons supply the MUs generating the force.(9,41) This article also addresses some of the unresolved issues concerning the functiona…”
BackgroundInfluentialSuter, E., & Herzog, W. (2001) · Journal of Applied Physiology · doi:10.1152/jappl.2001.90.3.1036 · Cited by 62
“(11) with randomly applied superimposed twitches gives the variations in ITT one would expect based on the findings in this study.”
MethodBiophysics of the Generation of EMG Signals
Farina, D., Stegeman, D. F., & Merletti, R. (2016) · doi:10.1002/9781119082934.ch02 · Cited by 62
Heidlauf, T., & Röhrle, O. (2013) · Computational and Mathematical Methods in Medicine · doi:10.1155/2013/517287 · Cited by 64
“[23], as shown in Röhrle [16], or to a biophysical model like the one by Negro and Farina [24].”
MethodLee, S. S. M., Arnold, A. S., Miara, M. D. B., Biewener, A. A., & Wakeling, J. M. (2013) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2013.06.001 · Cited by 62
“9 Some other muscle models have incorporated different fiber-type properties, but have also been 10 limited to simulations of isometric contractions (Bol et al., 2011; Fuglevand et al., 1993).”
BackgroundRevill, A. L., & Fuglevand, A. J. (2016) · The Journal of Physiology · doi:10.1113/jp272823 · Cited by 58
“Furthermore, computer models have shown isometric muscle force to be a near-linear function of this distributed excitatory synaptic current over most of the force range (Heckman & Binder, 1991; Fuglevand et al. 1993).”
MethodSelf-citationCrosstalk in surface electromyogram: literature review and some insights
Mesin, L. (2020) · Physical and Engineering Sciences in Medicine · doi:10.1007/s13246-020-00868-1 · Cited by 60
Negro, F., Keenan, K. G., & Farina, D. (2015) · Journal of Neural Engineering · doi:10.1088/1741-2560/12/3/036008 · Cited by 60
Interference Removal From Electromyography Based on Independent Component Analysis
Zheng, Y., & Hu, X. (2019) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2019.2910387 · Cited by 59
“The synthetic clean EMG signals were simulated using a motoneuron recruitment model [23] and a convolution”
MethodAn integrative model of motor unit activity during sustained submaximal contractions
Dideriksen, J. L., Farina, D., Baekgaard, M., & Enoka, R. M. (2010) · Journal of Applied Physiology · doi:10.1152/japplphysiol.01017.2009 · Cited by 57
“(30), the desired magnitude of the decline in discharge rate due to IAI described by Eq.”
InfluentialThe Use of Electromyography for the Noninvasive Prediction of Muscle Forces
Dowling, J. J. (1997) · Sports Medicine · doi:10.2165/00007256-199724020-00002 · Cited by 57
Variability in the interpolated twitch torque for maximal and submaximal voluntary contractions
Oskouei, A. E., van Mazijk, B. C. F., Schuiling, M. H. C., et al. (2003) · Journal of Applied Physiology · doi:10.1152/japplphysiol.01189.2002 · Cited by 57
“(11), it seems that the variations in the STF of a knee extensor muscle with 300 motor units (22) can be decreased to 1% of the mean STF.”
BackgroundDundon, J. M., Cirillo, J., & Semmler, J. G. (2008) · Journal of Applied Physiology · doi:10.1152/japplphysiol.01339.2007 · Cited by 57
“This type of EMG-force relation has been observed previously in computer models of motor unit activation and has been attributed to a narrowing of the force range over which motor units are recruited (12).”
BackgroundBrown, S. H. M., & McGill, S. M. (2007) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2007.10.015 · Cited by 56
“This opposite non-linearity has been predicted theoretically using motor unit based models of EMG (Milner-Brown and Stein, 1975; Fuglevand et al., 1993).”
MethodA model of cerebellum stabilized and scheduled hybrid long-loop control of upright balance
Jo, S., & Massaquoi, S. G. (2004) · Biological Cybernetics · doi:10.1007/s00422-004-0497-z · Cited by 56
“In particular, the performance of CNS feedback control systems must be evaluated carefully given that transcortical round trip (long-loop) signal transmission delays to and from trunk and ankle are on the order of 60–80 ms, respectively, and additional phase lags occur due to neuromuscular excitation–activation coupli…”
BackgroundKnee extensor torque and quadriceps femoris EMG during perceptually-guided isometric contractions
Pincivero, D. M., Coelho, A. J., Campy, R. M., et al. (2003) · Journal of Electromyography and Kinesiology · doi:10.1016/s1050-6411(02)00096-2 · Cited by 56
“[7] suggested that a bi-polar electrode configuration, with similar specifications to those used in the present study, have a myoelectric detection field largely limited to the underlying muscle tissue.”
Kernell, D., Bakels, R., & Copray, J. C. V. M. (1999) · Journal of Physiology-Paris · doi:10.1016/s0928-4257(99)80139-9 · Cited by 55
EMG–force modeling using parallel cascade identification
Hashemi, J., Morin, E. L., Mousavi, P., Mountjoy, K., & Hashtrudi-Zaad, K. (2012) · Journal of Electromyography and Kinesiology · doi:10.1016/j.jelekin.2011.10.012 · Cited by 55
“The increase in force with MU recruitment is believed to be more than proportional due to the size principle phenomenon in which larger MUs are recruited at higher contraction levels (Fuglevand et al., 1993).”
Background
Metadata
- Authors
- Fuglevand, A. J., Winter, D. A., & Patla, A. E.
- Affiliations
- University of Waterloo (CA)
- Venue
- Journal of Neurophysiology
- Publisher
- American Physiological Society
- Published
- 1993-12-01
- Volume
- 70
- Issue
- 6
- Pages
- 2470-2488
- ISSN
- 0022-3077 (ISSN-L)
- 1522-1598
- OpenAlex
- W1809394698
- Cited by
- 988
- References
- 0
- Citations by year
- 2026: 41 · 2025: 47 · 2024: 64 · 2023: 49 · 2022: 38 · 2021: 55 · 2020: 43 · 2019: 44 · 2018: 45 · 2017: 37 · 2016: 37 · 2015: 41 · 2014: 34 · 2013: 38 · 2012: 39
- FWCI
- 4.88
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Neurophysiology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Muscle activation and electromyography studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Muscle Physiology and Disorders
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Keywords
- motor unit recruitment, rate coding, surface electromyogram, EMG-force relationship, motor unit action potentials, action potential propagation velocity, recruitment threshold, motor unit territory, isometric force, voluntary muscle contraction
- MeSH terms
- Animals, Computer Simulation, Electromyography, Humans, Isometric Contraction, Models, Neurological, Motor Neurons, Muscles, Synaptic Transmission, Muscle Spindles, Recruitment, Neurophysiological
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