Analysis of Human Gait Based on Multibody Formulations and Optimization Tools<sup>#</sup>

Rodrigo, Silvia E.; Ambrósio, Jorge; Silva, Miguel Tavares da; Penisi, Osvaldo H.

doi:10.1080/15397730802425497

Cited by 30 publications

(20 citation statements)

References 23 publications

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“…As it was said at the beginning of this section, the constraints coming from the equations of motion are formulated in terms of joint torques. Thus, the torques at the joints can be evaluated from the muscle forces as τ m = Af m (20) where τ m is the vector of joint torques with a number of components, n b , equal to the number of actuated joint angles. On another hand, the torques can be calculated by using the estimated Lagrange multipliers of Eq.…”

Section: Neural Excitations Must Be Bounded In the Interval [0 1] Tmentioning

confidence: 99%

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3D-Simulation of human walking by parameter optimization

García-Vallejo

Schiehlen

2011

Arch Appl Mech

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The simulation of human gait is a complex dynamical problem that requires accounting for energy consumption as well as dealing with a redundantly actuated multibody system. If muscle forces and generalized coordinates are parameterized, optimization techniques allow the simulation of the muscle forces and of the walking motion. An optimization framework is presented for non-symmetrical gait cycles found in the presence of one-sided gait disorders. The motion of each leg is independently parameterized for a whole walking cycle. The non-linear constraints used to fulfill the equations of motion and the kinematical constraints of the different walking phases are implemented in an efficient way. Fifth-order splines are used for the parameterization to reduce the oscillatory behavior coming from non-periodicity conditions. To achieve the computational performance required for three-dimensional simulations, the spline interpolation problem has been split in two parts, one is performed in a preprocessing stage and the other during the optimization. Numerical differentiation via finite differences is avoided by implementing analytical derivatives of the splines functions and of the contractile element force law. The results show good numerical performance, and the computational efficiency for 3D-simulations with one-sided gait disorders is highlighted.

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Section: Neural Excitations Must Be Bounded In the Interval [0 1] Tmentioning

confidence: 99%

“…Multibody system dynamics (MSD) techniques are potentially very powerful in this field, and there are many contributions from the MSD community to this challenging problem [3,4,18,20]. The human body can be assumed to be a multibody system actuated by muscles.…”

Section: Introductionmentioning

confidence: 99%

3D-Simulation of human walking by parameter optimization

García-Vallejo

Schiehlen

2011

Arch Appl Mech

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“…The geometric parameters of the model are obtained, for the lower limbs, by applying correlation equations from a reduced set of measurements taken on the subject [8] and, for the upper part of the body, by scaling table data according to the mass and height of the subject [9,10]. Regarding the inertial parameters, they are obtained, for the lower limbs, by a correction, based on data coming from densitometry (DXA) if available, of the method already indicated for the geometric parameters; for the upper part of the body, the scaling method is used again, but a second scaling is applied in order to adjust the total mass of the subject.…”

Section: Computational Modelmentioning

confidence: 99%

Consideration of Assistive Devices in the Gait Analysis of Spinal Cord–Injured Subjects

Lugrís

Carlín

Luaces

et al. 2013

Volume 7A: 9th International Conference on Multibody Systems, Nonlinear Dynamics, and Control

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“…Proper processing and analysis of such locomotor information is a key factor to obtain an accurate diagnosis of the considered gait pathology and to plan its treatment (Battistella et al, 2009;Rodrigo, 2008;Rodrigo et al, 2008). However, these requirements imply spending many hours analyzing the collected raw data by trained personnel.…”

Section: Introductionmentioning

confidence: 99%

Application of Kohonen maps to kinetic analysis of human gait

Rodrigo¹,

Lescano²,

Rodrigo³

2012

RBEB

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In recent years the use of artificial neural networks for classification and analysis of kinematic and kinetic characteristics of human locomotion has greatly increased. This happens in an attempt to overcome the limitations of traditional dynamic analysis and to find new clinical indicators for interpreting quick and objectively the large amount of information obtained in a gait lab. One of the most widely used neural networks for human gait analysis is the self-organizing or Kohonen map, based on unsupervised learning without prior definition of the formed natural groups. Among the advantages of using this type of neural network is the data dimensionality reduction, with minimal loss of information content, and the grouping of them in function of their similarities. Taking into account this, in this work an application case of a Kohonen map for clustering of locomotion kinetic characteristics in normal and Parkinson's disease individuals is presented. The results indicate that the groups identified by the map are consistent with the classification carried out by experts in function of traditional gait dynamic analysis, showing the potential of this technique for distinguishing between a population of individuals with normal gait and with gait disorders of different etiology.Keywords Human gait, Parkinson´s disease, Artificial neural network, Clustering. Aplicação de mapas de Kohonen à análise cinética da marcha humana Resumo Nos últimos anos, tem aumentado significativamente o uso de redes neurais artificiais para a classificação e análise cinemática e cinética da marcha humana, em uma tentativa de superar as limitações da análise dinâmica tradicional e de encontrar novos indicadores clínicos para interpretar

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Analysis of Human Gait Based on Multibody Formulations and Optimization Tools^#

Cited by 30 publications

References 23 publications

3D-Simulation of human walking by parameter optimization

3D-Simulation of human walking by parameter optimization

Consideration of Assistive Devices in the Gait Analysis of Spinal Cord–Injured Subjects

Application of Kohonen maps to kinetic analysis of human gait

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Analysis of Human Gait Based on Multibody Formulations and Optimization Tools#

Cited by 30 publications

References 23 publications

3D-Simulation of human walking by parameter optimization

3D-Simulation of human walking by parameter optimization

Consideration of Assistive Devices in the Gait Analysis of Spinal Cord–Injured Subjects

Application of Kohonen maps to kinetic analysis of human gait

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Analysis of Human Gait Based on Multibody Formulations and Optimization Tools^#