Health Informatics

The decomposition of deformation: New metrics to enhance shape analysis in medical imaging

In landmarks-based Shape Analysis size is measured, in most cases, with Centroid Size. Changes in shape are decomposed in affine and non affine components. Furthermore the non affine component can be in turn decomposed in a series of local deformations (partial warps). If the extent of deformation between two shapes is small, the difference between Centroid Size and m-Volume increment is barely appreciable. In medical imaging applied to soft tissues bodies can undergo very large deformations, involving large changes in size.

HIN-Health Issue Network as Means to Improve Case-Based Learning in Health Sciences Education

HIN (Health Issue Network) is introduced as a peculiar approach to enhance Case-Based Learning (CBL) methodology for health sciences education, as well as innovative tool to query problem-oriented EHRs. In this paper HIN's Petri Nets-based formalism is described, and a first example of its twofold (lower and upper) representation level is proposed.

Quantitative Analysis of Videofluoroscopic Swallowing Study for the Assessment of Laryngeal Elevation : A new software tool for processing Videofluoroscopic Images for Assessment of Patients with Dysphagia

To date, the videofluoroscopic swallowing study (VFSS) is considered the gold standard for thoroughly assessment and management of dysphagia. It is a symptom so common and diverse that is often considered as a disease in its own right. Dysphagia severity can range from a trivial problem to a lethal condition. It can seriously compromise the quality of life of affected patients, therefore management should be prompt. The implications of dysphagia in healthcare costs are elevated. VFSS carries a degree of subjectivity in its interpretation.

Human-Machine Interaction Assessment by Neurophysiological Measures: A Study on Professional Air Traffic Controllers

This study aims at investigating the possibility to employ neurophysiological measures to assess the humanmachine interaction effectiveness. Such a measure can be used to compare new technologies or solutions, with the final purpose to enhance operator's experience and increase safety. In the present work, two different interaction modalities (Normal and Augmented) related to Air Traffic Management field have been compared, by involving 10 professional air traffic controllers in a control tower simulated environment.

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