EMG to force processing II: Estimation of parameters of the Hill muscle model for the human triceps surae by means of a calfergometer
References (20)
- et al.
Dependence of human ankle compliance on joint angle
J. Biomechanics
(1978) - et al.
EMG to force processing I: An electrical analogue of the Hill muscle model
J. Biomechanics
(1981) - et al.
EMG to force processing III. Estimation of model parameters for the human triceps surae muscle and assessment of the accuracy by means of a torque plate
J. Biomechanics
(1981) - et al.
Synchronization of human motorunits: possible roles of exercise and supra spinal reflexes
EEG clin. Neurophysiol.
(1975) - et al.
Predictions and experimental tests of a visco-elastic muscle model using elastic and inertial loads
Biol. Cybernet.
(1976) - et al.
- et al.
The relation between force, velocity and integrated electrical activity in human muscles
J. Physiol. Lond.
(1954) - et al.
Temperature and force-velocity relationship of human muscles
J. appl. Physiol.
(1977) - et al.
The relationship between the surface EMG and force transients in muscle: Simulation and experimental studies
Properties of tendon and skin
Cited by (78)
Gluteal activation during squatting reduces acetabular contact pressure in persons with femoroacetabular impingement syndrome: A patient-specific finite element analysis
2023, Clinical BiomechanicsCitation Excerpt :Hip joint angles were input to the hip joint model to calculate instantaneous muscle parameters (i.e., length, velocity, moment arms) throughout the squat tasks. Instantaneous muscle forces were calculated using a Hill-type muscle model taking into consideration the normalized EMG signals, muscle length and contraction velocity, physiological cross-sectional area, and passive force contributions (Hof and Van den Berg, 1981a, 1981b, 1981c, 1981d). In total, 96 muscle elements representing 22 muscles were included in the model.
Parameter estimation and experimental design for Hill-type muscles: Impulses from optimization-based modeling
2020, Mathematical BiosciencesCitation Excerpt :Others are purely descriptive fitting parameters such as the Hill parameters or the exponent of the tendon’s force–length relationship. In literature, various methods are used to fit models to data from specific (sets of) muscles and to obtain estimates for those parameters, e.g., educated trial-and-error ([5]), visual methods ([6]), the Levenberg–Marquardt method ([7]), the Nelder–Mead method ([8]), sequential quadratic programming ([9]), or genetic algorithms ([10]). Developing a model for a complex real-life system such as muscle requires knowledge of the mechanistic background of its function as well as of possible gaps or unknowns therein, and a coherent mathematical description of both.
Open forward and inverse problems in theoretical modeling of bone tissue adaptation
2013, Journal of the Mechanical Behavior of Biomedical MaterialsCitation Excerpt :For example, the ground reaction force (GRF) in walking and running can be measured using force plates. The force–displacement relationships of muscles are implemented in musculoskeletal models using the so-called muscle models (Audu and Davy, 1985; Hof and Van Den Berg, 1981a, 1981b; Meijer et al., 1998). Musculoskeletal models require kinematic (position) data to predict musculoskeletal loads.
A Wavelet-Based Method to Predict Muscle Forces From Surface Electromyography Signals in Weightlifting
2012, Journal of Bionic EngineeringMethodological aspects of SEMG recordings for force estimation - A tutorial and review
2010, Journal of Electromyography and KinesiologyCitation Excerpt :Probably the first to develop a model of a muscle-joint-system based on EMG-driven Hill-type muscle models were Hof and van den Berg. In a series of papers, they described procedures for parameterization of a muscle model of the triceps surae complex (Hof and Van den Berg, 1981b, c). Since then, EMG-driven models have been developed to estimate muscle forces or joint loads in other muscle-joint-systems such as the trunk (Cholewicki and McGill, 1996; Granata and Marras, 1995; Lloyd and Besier, 2003; McGill and Norman, 1986; Nussbaum and Chaffin, 1998; Thelen et al., 1994; van Dieen and Kingma, 1999; van Dieen et al., 2003b), shoulder (Laursen et al., 1998), elbow (Buchanan et al., 1998; Soechting and Flanders, 1997), wrist (Ridderikhoff et al., 2004), and knee (Lloyd and Besier, 2003; Piazza and Delp, 1996; White and Winter, 1992).