Muscle coordination analysis by time-varying muscle synergy extraction during cycling across various mechanical conditions

Esmaeili, Javad; Maleki, Ali

doi:10.1016/j.bbe.2019.10.005

Cited by 11 publications

(9 citation statements)

References 24 publications

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“…The results show promise that fusion synergies can improve movement reconstruction. In the areas of neuroscience [ 38 , 39 , 40 ], rehabilitation [ 38 , 41 , 42 ], sports [ 43 , 44 , 45 ] and robotics [ 46 , 47 ], synergies have proven to be an efficient method for understanding motor control and motor learning of the artificial and paralyzed limbs from a reduced dimensional space. It remains to be seen if embedding these fusion synergies into the above areas can possibly enhance their performance.…”

Section: Discussionmentioning

confidence: 99%

Data Fusion-Based Musculoskeletal Synergies in the Grasping Hand

Olikkal

Pei²,

Banerjee³

et al. 2022

Sensors

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The hypothesis that the central nervous system (CNS) makes use of synergies or movement primitives in achieving simple to complex movements has inspired the investigation of different types of synergies. Kinematic and muscle synergies have been extensively studied in the literature, but only a few studies have compared and combined both types of synergies during the control and coordination of the human hand. In this paper, synergies were extracted first independently (called kinematic and muscle synergies) and then combined through data fusion (called musculoskeletal synergies) from 26 activities of daily living in 22 individuals using principal component analysis (PCA) and independent component analysis (ICA). By a weighted linear combination of musculoskeletal synergies, the recorded kinematics and the recorded muscle activities were reconstructed. The performances of musculoskeletal synergies in reconstructing the movements were compared to the synergies reported previously in the literature by us and others. The results indicate that the musculoskeletal synergies performed better than the synergies extracted without fusion. We attribute this improvement in performance to the musculoskeletal synergies that were generated on the basis of the cross-information between muscle and kinematic activities. Moreover, the synergies extracted using ICA performed better than the synergies extracted using PCA. These musculoskeletal synergies can possibly improve the capabilities of the current methodologies used to control high dimensional prosthetics and exoskeletons.

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Section: Discussionmentioning

confidence: 99%

Data Fusion-Based Musculoskeletal Synergies in the Grasping Hand

Olikkal

Pei²,

Banerjee³

et al. 2022

Sensors

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show abstract

“…Carbon et al ( 2016) performed a comprehensive sensitivity analysis by simulating the lower limb model in the AnyBody modeling system to evaluate the effects of possible errors in the parameters of the Hill-type musculoskeletal model on the tendons of the musculoskeletal model [32]. Esmaeili and Maleki (2020) with muscle coordination analysis and time-varying muscle synergy extraction from surface electromyography (sEMG) models, investigated the similarity of muscle synergies for mechanical conditions [33].…”

Section: Intorductionmentioning

confidence: 99%

A mechanical model and stress-strain response of the biceps brachii under static load

Dereshgi

Serbest

Şahin

et al. 2022

European Mechanical Science

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Muscle contraction is a complex phenomenon that begins with chemical processes, continues physiologically, and leads to the production of force. Although the production of force in the muscles depends on factors such as temperature, age, gender, race, but the most important factor is the external load applied to the muscle. Determining the effects of increased load on muscle mechanics is of particular importance for planning exercise activities and rehabilitation processes. In this study, the effects of different external forces on the stress and pressure behavior of the muscle were examined on a simplified model of the biceps. Accordingly, a finite element model of the biceps brachii muscle fiber was constructed. The application of different static loads (2.5 -100 N) on both the proximal tendon (one-directional) and the proximal and distal tendon (bidirectional) together were investigated. According to the results, it was found that the external force applied in both directions causes a significant increase in displacement behavior and stress.

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“…The generation of coordinated movements of the limbs during human movement requires the participation of multiple muscles, and the aforementioned coactivation of antagonistic muscles can only describe the synergistic activity between two muscles. For the quantification of synergistic contractions across multiple muscles, muscle synergy analysis based on sEMG is a valid tool to explore the coordination across multiple muscles during locomotion ( 50 ). It is believed that the CNS might generate motor commands through a liner combination of set of muscle synergies ( 51 ), which are the building blocks of synergistic muscle activations coordinated by the CNS to simplify construction of motor behaviors ( 52 ).…”

Section: Features Of Infant-crawling Analysismentioning

confidence: 99%

Measurement and Analysis of Human Infant Crawling for Rehabilitation: A Narrative Review

Xiong

Liu

et al. 2021

Front. Neurol.

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When a child shows signs of potential motor developmental disorders, early diagnosis of central nervous system (CNS) impairment is beneficial. Known as the first CNS-controlled mobility for most of infants, mobility during crawling usually has been used in clinical assessments to identify motor development disorders. The current clinical scales of motor development during crawling stage are relatively subjective. Objective and quantitative measures of infant crawling afford the possibilities to identify those infants who might benefit from early intervention, as well as the evaluation of intervention progress. Thus, increasing researchers have explored objective measurements of infant crawling in typical and atypical developing infants. However, there is a lack of comprehensive review on infant-crawling measurement and analysis toward bridging the gap between research crawling analysis and potential clinical applications. In this narrative review, we provide a practical overview of the most relevant measurements in human infant crawling, including acquisition techniques, data processing methods, features extraction, and the potential value in objective assessment of motor function in infancy; meanwhile, the possibilities to develop crawling training as early intervention to promote the locomotor function for infants with locomotor delays are also discussed.

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Muscle coordination analysis by time-varying muscle synergy extraction during cycling across various mechanical conditions

Cited by 11 publications

References 24 publications

Data Fusion-Based Musculoskeletal Synergies in the Grasping Hand

Data Fusion-Based Musculoskeletal Synergies in the Grasping Hand

A mechanical model and stress-strain response of the biceps brachii under static load

Measurement and Analysis of Human Infant Crawling for Rehabilitation: A Narrative Review

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