Recognition of muscle functional organisation in rowing by synergy identification

Turpin, Nicolas A.; Guével, Arnaud; Dossat, A.; Durand, Sylvain; Hug, François

doi:10.1080/10255842.2010.495876

Cited by 2 publications

(1 citation statement)

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“…Synergies between kinematics and EMG signals (normalized EMG) could be used to predict muscle activity using only kinematics data knowledge. The concept of muscle synergies has been used to analyze the muscle activation patterns when performing certain tasks, [10][11][12] to control an EMG-driven device, 13,14 or to analyze the differences in muscle activation patterns among different injured subjects. 15,16 The concept of muscle synergies is mathematically represented by the factorization of the matrix containing the envelope of EMG signals into two matrices of lower rank.…”

Section: Introductionmentioning

confidence: 99%

A factorization‐based algorithm to predict EMG data using only kinematics information

Manzano

Serrancolí

2021

Numer Methods Biomed Eng

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EMG analyses have several applications, such as identifying muscle excitation patterns during rehabilitation or training plans, or controlling EMG‐driven devices. However, experimental measurements can be time consuming or difficult to obtain. This study presents a simple algorithm to predict EMG signals that can be applied in real time during running, given only the instantaneous vector of kinematics. We hypothesize that the factorization of the kinematics of the skeleton together with the EMG data of calibration subjects could be used to predict EMG data of another subject only using the kinematic information. The results showed that EMG signals of lower‐limb muscles can be predicted accurately in less than a second using this method. Correlation coefficients between predicted and experimental EMG signals were higher than 0.7 in 10 out of 11 muscles for most prediction trials and subjects, and their overall median value was higher than 0.8. These values confirm that this method could be used to accurately predict EMG signals in real time when only kinematics are measured.

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