Use of the surface electromyography for a quantitative trend validation of estimated muscle forces

Żuk, Magdalena; Syczewska, Małgorzata; Pezowicz, Celina

doi:10.1016/j.bbe.2018.02.001

Cited by 20 publications

(12 citation statements)

References 22 publications

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“…Our findings of a general better agreement between modelling approaches and EMG in the shank than thigh muscles is, mostly, in agreement with previous findings of Zuk et al [17].…”

Section: Discussionsupporting

confidence: 93%

“…more dependent on particular characteristics of individual muscles (i.e., lever arm, cross sectional area) rather than estimation technique. Zuk et al [17], therefore, concluded that further research needs to focus on the force-sharing problem (which muscle is favoured above the other) and the development of cost functions describing motor control strategies (perception of the environment and consequential motor variability) more closely, which means that more effort needs to be undertaken to improve subject-specific musculoskeletal models.…”

Section: Discussionmentioning

confidence: 99%

“…Validation of muscle activation is important to underpin valid force outcomes [16] because direct validation of estimated muscle force is only possible with invivo force transducers. Studies have validated force estimations indirectly against EMG [9,10,14,17]. However, this approach is limited by the fact that there is no simple relationship between activation and force [18].…”

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confidence: 99%

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Estimation of muscle activation during different walking speeds with two mathematical approaches compared to surface EMG

et al. 2018

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Modelling approaches do not yet show sufficient consistency of agreement between estimated and recorded muscle activation to support recommending immediate clinical adoption of muscle force modelling. This may be because assumptions underlying muscle activation estimations (e.g. muscles' anatomy and maximum voluntary contraction) are not yet sufficiently individualizable. Future research needs to find timely and cost efficient ways to scale musculoskeletal models for better individualisation to facilitate future clinical implementation.

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“…Our findings of a general better agreement between modelling approaches and EMG in the shank than thigh muscles is, mostly, in agreement with previous findings of Zuk et al [17].…”

Section: Discussionsupporting

confidence: 93%

Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

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Estimation of muscle activation during different walking speeds with two mathematical approaches compared to surface EMG

et al. 2018

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“…These four studies demonstrate variability both between individuals and across muscles, similar to our results. The best-represented muscles during gait were the plantar flexors, while the worst represented muscles were the knee extensors and hamstrings, consistent with our results for both CP and TD (Heintz and Gutierrez-Farewik, 2007;Blazkiewicz, 2013;Zuk et al, 2018b).…”

Section: Discussionsupporting

confidence: 86%

Muscle Synergy Constraints Do Not Improve Estimates of Muscle Activity From Static Optimization During Gait for Unimpaired Children or Children With Cerebral Palsy

et al. 2019

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Neuromusculoskeletal simulation provides a promising platform to inform the design of assistive devices or inform rehabilitation. For these applications, a simulation must be able to accurately represent the person of interest, such as an individual with a neurologic injury. If a simulation fails to predict how an individual recruits and coordinates their muscles during movement, it will have limited utility for informing design or rehabilitation. While inverse dynamic simulations have previously been used to evaluate anticipated responses from interventions, like orthopedic surgery or orthoses, they frequently struggle to accurately estimate muscle activations, even for tasks like walking. The simulated muscle activity often fails to represent experimentally measured muscle activity from electromyographic (EMG) recordings. Research has theorized that the nervous system may simplify the range of possible activations used during dynamic tasks, by constraining activations to weighted groups of muscles, referred to as muscle synergies. Synergies are altered after neurological injury, such as stroke or cerebral palsy (CP), and may provide a method for improving subject-specific models of neuromuscular control. The aim of this study was to test whether constraining simulation to synergies could improve estimated muscle activations compared to EMG data. We evaluated modeled muscle activations during gait for six typically developing (TD) children and six children with CP. Muscle activations were estimated with: (1) static optimization (SO), minimizing muscle activations squared, and (2) synergy SO (SynSO), minimizing synergy activations squared using the weights identified from EMG data for two to five synergies. While SynSO caused changes in estimated activations compared to SO, the correlation to EMG data was not higher in SynSO than SO for either TD or CP groups. The correlations to EMG were higher in CP than TD for both SO (CP: 0.48, TD: 0.36) and SynSO (CP: 0.46, TD: 0.26 for five synergies). Constraining activations to SynSO caused

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“…The calculated metabolic rate of muscles was verified to demonstrate the real metabolic tendency [51]. The total rate of energy expenditure expressed in • −1 for a muscle was the sum of the activation heat rate, the maintenance heat rate, the shortening heat rate, the work rate, and the heat dissipated rate of a muscular contraction [52]. To compute the gross metabolic cost, the mass of each muscle needed to be gained as a critical parameter according to the metabolic model = • • / (6) Where ρ = 1059.7 / 3 was muscle density, was the maximum isometric force, was the optimal length of the muscle fibers in the model [53], and σ was the specific tension of each muscle which could be taken as 0.25 in the Gait2354 Model.…”

Section: H Muscle Metabolic Analysismentioning

confidence: 99%

Effects of Joint Assistance on the Muscle Metabolism and Strength in Different States Based on Simulation

Liu

Song

et al. 2020

IEEE Access

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A powered exoskeleton on reasonable design can effectively reduce the metabolic cost during walking. In order to explore the metabolism and muscle strength with powered exoskeleton assisted on joints under different states, we involved seven healthy subjects to walk on level and slope of 5° with different loads (0, 10, 20 and 30 kg), based on which we simulated the states of walking with different assistant torque on joints to analyze the metabolic cost and muscle force. The results demonstrated that the metabolism decreased more with the increase of hip extension assistance on flat and it had a more significant reduction under greater driving moment of hip flexion, hip extension, knee extension and ankle plantarflexion on slope. Both ankle plantarflexion and hip extension devices reduced more energy consumption than other powered devices, between which hip extension assistance increased the metabolic reduction rate significantly, especially on slope. Each kind of powered exoskeleton reduced the strengths of agonistic muscles assisted. In addition, hip extension device greatly reduced the strength of vastus intermedius and ankle plantarflexion device reduced the strengths of rectus femoris and vastus intermedius concurrently. The results predicted metabolism and muscle strength under different assistances in various states, providing advisement for drive design theoretically.

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Use of the surface electromyography for a quantitative trend validation of estimated muscle forces

Cited by 20 publications

References 22 publications

Estimation of muscle activation during different walking speeds with two mathematical approaches compared to surface EMG

Estimation of muscle activation during different walking speeds with two mathematical approaches compared to surface EMG

Muscle Synergy Constraints Do Not Improve Estimates of Muscle Activity From Static Optimization During Gait for Unimpaired Children or Children With Cerebral Palsy

Effects of Joint Assistance on the Muscle Metabolism and Strength in Different States Based on Simulation

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