2013
DOI: 10.1080/10255842.2013.815878
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EMG-based validation of musculo-skeletal models for gait analysis

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Cited by 17 publications
(12 citation statements)
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“…The patterns of all the force curves, except for the anterior-posterior tibiofemoral contact force, were generally matching in vivo measurements with correlation (R 2 ) between 0.71 and 0.92 and concordance (C) between 63 and 72 %. This is the level of concordance already reported for more comprehensive muscle geometries (Giroux et al, 2013). The errors in the proximaldistal tibiofemoral contact force fell in the range of RMSEs (0.3 to 0.9 BW) reported in the literature with generic musculoskeletal models (Moissenet et al, 2017).…”
Section: Discussionsupporting
confidence: 79%
See 1 more Smart Citation
“…The patterns of all the force curves, except for the anterior-posterior tibiofemoral contact force, were generally matching in vivo measurements with correlation (R 2 ) between 0.71 and 0.92 and concordance (C) between 63 and 72 %. This is the level of concordance already reported for more comprehensive muscle geometries (Giroux et al, 2013). The errors in the proximaldistal tibiofemoral contact force fell in the range of RMSEs (0.3 to 0.9 BW) reported in the literature with generic musculoskeletal models (Moissenet et al, 2017).…”
Section: Discussionsupporting
confidence: 79%
“…With the ultra-congruent prosthesis, the anterior-posterior component of the tibiofemoral contact force (R 2 .X 2 ) was quantitatively validated by computing the root mean square error ( Musculo-tendon forces (f 1 , f 2 , f 3 ) were semi-quantitatively validated by computing their concordance coefficient (C) (Giroux et al, 2013) with the experimentally measured surface EMG envelops of gastrocnemius medialis and lateralis, vastus medialis and lateralis, rectus femoris, semimembranosus and biceps femoris caput longum. This concordance coefficient quantifies the agreement between active/inactive states derived from the estimated forces and the measured EMG envelops during seven different phases of the gait cycle (Perry and Burnfield, 2010).…”
Section: Validationmentioning
confidence: 99%
“…To assess the validity of musculo-tendon force estimations, the coefficient of concordance proposed by Dickerson et al [33], and recently extended to the gait analysis by Giroux et al [34], was applied. Briefly, this method uses active/inactive state concordance between the estimated musculo-tendon forces and the EMG envelopes to compute a coefficient of concordance defined as the percentage of concordance elements.…”
Section: Overall Quality Of the Estimationsmentioning
confidence: 99%
“…The inability to measure forces directly leaves the researcher with the option to focus on other model outcomes that are easier to measure experimentally. Comparison of electromyography (EMG) measurements with predicted muscle activity represent an example of indirect validation of models prediction (Giroux et al, 2013). Unfortunately, EMG signals are known to be sensitive to the placement of the electrodes on the surface of the skin above muscles (De Luca, 1993).…”
Section: Validation Of Model Predictionsmentioning
confidence: 99%
“…Comparison of electromyography (EMG) measurements with predicted muscle activity represents a common example of indirect validation of MS models (Asadi Nikooyan et al, 2011;Giroux et al, 2013). Next to EMG, measurement of local oxygen consumption of muscle tissue, reflecting the energy consumption process, through near infrared spectroscopy (NIRS) has been proposed as a validation tool for MS models (Praagman et al, 2003;Praagman et al, 2006).…”
Section: 1 Introductionmentioning
confidence: 99%