1,721,196 research outputs found
Fitting a biomechanical model of the folds to high-speed video data through bayesian estimation
Full text linkHigh-speed video recording of the vocal folds during sustained phonation has become a widespread diagnostic tool, and the development of imaging techniques able to perform automated tracking and analysis of relevant glottal cues, such as folds edge position or glottal area, is an active research field. In this paper, a vocal folds vibration analysis method based on the processing of visual data through a biomechanical model of the layngeal dynamics is proposed. The procedure relies on a Bayesian non-stationary estimation of the biomechanical model parameters and state, to fit the folds edge position extracted from the high-speed video endoscopic data. This finely tuned dynamical model is then used as a state transition model in a Bayesian setting, and it allows to obtain a physiologically motivated estimation of upper and lower vocal folds edge position. Based on model prediction, an hypothesis on the lower fold position can be made even in complete fold occlusion conditions occurring during the end of the closed phase and the beginning of the open phase of the glottal cycle. To demonstrate the suitability of the procedure, the method is assessed on a set of audiovisual recordings featuring high-speed video endoscopic data from healthy subjects producing sustained voiced phonation with different laryngeal settings
A hierarchical approach to feature extraction and grouping
No full textIn this paper, the problem of extracting and grouping image features from complex scenes is solved by a hierarchical approach based on two main processes: voting and clustering. Voting is performed for assigning a score to both global and local features. The score represents the evidential support provided by input data for the presence of a feature. Clustering aims at individuating a minimal set of significant local features by grouping together simpler correlated observations, It is based on a spatial relation between simple observations on a fixed level, i.e., the definition of a distance in an appropriate space. As the multilevel structure of the system implies that input data for an intermediate level are outputs of the lower level, voting can be seen as a functional representation of the "part-of" relation between features at different abstraction levels. The proposed approach has been tested on both synthetic and real images and compared with other existing feature grouping methods
ESERCIZI DI VISIONING. PSICOANALISI, PSICHIATRIA, ISTITUZIONI
No full textI sgagi di questo volume discutono dei possibili modi nei quali i contributi della psicoanalisi possono essere utile al lavoro clinico psichiatrico. Al centro della discussione il concetto di visioning, tratto dalla psicologia delle organizzazioni, che viene utilizzato per ripensare alla diagnosi psichiatrica come luogo di incontro tra diversi operatori e diverse professionalità, al fine di formulare un progetto terapeutico sostenibile per il pazient
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