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Piero Roncoletta

Publications and source records attributed to Piero Roncoletta.

4 recordsLinked to original sources

A 3-D biomechanical skeleton model for posture and movement analysis.

A project to merge into a full 3D reliable and detailed human skeleton representation various segmental biomechanical models presented in literature has been undertaken by our group. The obtained 3D skeleton model is fully parametric and can so be fitted to each subject anthropometric characteristics. A non-ionizing approach based on 3D opto-electronic measurements of body landmarks labelled by passive markers has been chosen to build the 3D parametric biomechanical skeleton model. To this aim various protocols involving different body labelling (and so different related anthropometric data) have been established for different analyses. To analyse human posture and spinal related pathologies, a 27 markers protocol has been set for static analysis, while 49 markers protocol has been set for gait and movement analysis. A special focus has been devoted to identify and model the spine with a correct degree of accuracy and reliability. To this aim complex signal processing and optimisation procedures have been tested. The model is able to fully integrate information deriving from other measurements devices as force platform data, surface EMG, foot pressure maps. The presented model is the first proposed in literature, to authors knowledge, able to process such multifactorial information to perform a full kinematic and kinetic analysis with particular focus on the spine. Several hundreds of patients have been already analysed and followed up with this methodology that proved to be useful for various posture and spine related pathologies (in particular spine deformities, low-back pain etc.).

Biomechanical Phenomena↗

A 3-D parametric biomechanical skeleton model for posture and spine shape analysis.

A project has been undertaken by our group to merge different segmental biomechanical models presented in literature into a full 3D parametric human skeleton representation, based on opto-electronic measurements. The obtained 3D skeleton model can then be fitted to each subject's anthropometrical characteristics. The accuracy and precision of this model relies both on anatomical findings (cadaver dissections, in vivo measurements, and parametric regression equations) reported in literature and on the approach and signal processing procedures we largely described and discussed in previous papers. The aim of this work is to present and describe the above mentioned 3D parametric biomechanical skeleton model. This model and the related graphical software package have been developed as a clinical tool for diagnostic and therapeutic purposes, and they are currently used in different clinical centres.

Biomechanical Phenomena↗

Joint segmental kinematic trunk motion and C.O.P. patterns for multifactorial posturographic analysis.

Measurements of postural sway are used to determine a subject ability to maintain upright stance. In many clinical analyses, postural control measured during a quiet standing provides very useful insights about CNS and Motor control behaviour. The aim of this paper is to present a new posturographic methodology including both classical parameter extraction techniques and new specially developed figuring algorithms, in which both kinematic patterns and ground reaction force COP evolution are jointly processed in order to identify the biomechanical behaviour in particular of the spine at each metameric level for both orthostatic posture and lateral bending test.

Adult↗

Baropodographic measurements and averaging in locomotion and postural analysis.

The use of quantitative baropodography measurements, either by means of pressure sensing foot insoles or floor mats, is quickly increasing in clinical and research fields for the analysis of a wide variety of foot and ankle disorders. In this paper we present a set of complex and detailed processing procedures necessary to correctly perform gait cycles normalisation and averaging as well as bivariate statistic for COP analysis, in order to extract quantitative and statistically significant parameters for clinical evaluation of locomotion and orthostatic posture.

Foot↗