An EMG-driven musculoskeletal model to estimate muscle forces and knee joint moments in vivo.

By David G. Lloyd, Thor F. Besier. Journal of Biomechanics, 2003

1,223 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Cognitive Neuroscience, Orthopedics and Sports Medicine

View Paper: https://www.semanticscholar.org/paper/6e7e4fbc2737b473bbf9d9282896a4a7a7bda8d7

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In Biomedical Engineering

In Cognitive Neuroscience

In Orthopedics and Sports Medicine

Citations in the corpus

CEINMS: a toolbox to investigate the influence of different neural control solutions on the prediction of muscle excitation and joint moments during dynamic motor tasks (2015, positive): “This improves muscle force predictions (Buchanan et al., 2004; Lloyd and Besier, 2003; Lloyd et al., 2008) and is represented by a critically-damped linear second-order differential system (Milner et al.”
Muscle contributions to propulsion and support during running (2010, methodology): “We also compared simulated muscle forces to muscle forces derived from an EMG-driven musculoskeletal model of running (Lloyd and Besier, 2003; Besier et al., 2009; Supplemental Fig.”
Adaptive Impedance Control for an Upper Limb Robotic Exoskeleton Using Biological Signals (2017, background): “where F i (t) = F t i (t), F t i (t) is the tendon force, with fi(li) and fi(vi) denoting normalized force–length and normalized force–velocity curves of the contractile element of ith muscle, and fpi(li) denotes the passive elastic normalized force–length relation, F i denotes the maximum isometric”
Model-based estimation of muscle forces exerted during movements. (2007, methodology): “Utilization of the method for the lower extremity included walking (Amarantini and Martin, 2004) and running (Lloyd and Besier, 2003).”
A Human--Exoskeleton Interface Utilizing Electromyography (2008, methodology): “A nonlinear least squares algorithm is used to determine the parameters for each subject in [27].”
Gait Analysis Using Wearable Sensors (2012, methodology): “On the other hand, the EMG-to-force processing approach has also become a reliable technique for the estimation of muscle force [143–145], which belongs to the field of muscle kinetics.”
OpenSim: Open-Source Software to Create and Analyze Dynamic Simulations of Movement (2007, background): “Studies have been conducted to investigate the treatment of individuals with spinal cord injury [53]–[56], to analyze joint mechanics in subjects with patellofemoral pain [57], [58], to calculate forces at the knee during running [59] and cutting [60], to examine the influence of foot positioning an”
EMG-Driven Forward-Dynamic Estimation of Muscle Force and Joint Moment about Multiple Degrees of Freedom in the Human Lower Extremity (2012, neutral): “According to this convention the gluteus medius EMGs also drove the gluteus minimus MTUs.”
Neuromusculoskeletal modeling: estimation of muscle forces and joint moments and movements from measurements of neural command. (2004, methodology): “EMG-driven models of varying complexity have been used to estimate moments about the knee (Lloyd & Besier, 2003; Lloyd & Buchanan, 1996; 2001; Onley & Winter, 1985), the lower back (McGill & Norman, 1986; Thelen et al., 1994), the wrist (Buchanan et al., 1993), and the elbow (Manal et al., 2002).”