Examinando por Materia "Biomedical"

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    An Entropy-Based Graph Construction Method for Representing and Clustering Biological Data
    (SPRINGER, 2019-10-01) Ariza-Jiménez L.; Pinel N.; Villa L.F.; Quintero O.L.; Universidad EAFIT. Departamento de Ciencias; Biodiversidad, Evolución y Conservación
    Unsupervised learning methods are commonly used to perform the non-trivial task of uncovering structure in biological data. However, conventional approaches rely on methods that make assumptions about data distribution and reduce the dimensionality of the input data. Here we propose the incorporation of entropy related measures into the process of constructing graph-based representations for biological datasets in order to uncover their inner structure. Experimental results demonstrated the potential of the proposed entropy-based graph data representation to cope with biological applications related to unsupervised learning problems, such as metagenomic binning and neuronal spike sorting, in which it is necessary to organize data into unknown and meaningful groups. © 2020, Springer Nature Switzerland AG.
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    Remote teaching functional and anatomical concepts skeletal muscle system
    (SPRINGER, 2008-01-01) Leon, C.A.D.; Trefftz, H.; Pineda, F.; Universidad EAFIT. Departamento de Ingeniería de Sistemas; I+D+I en Tecnologías de la Información y las Comunicaciones
    In this paper we present the results of using a virtual content developed inside a telepresence application. The application combines video-conference with networked virtual environment allowing an instructor and a group of students to manipulate a virtual object in a collaborative manner. The virtual environment describes bones and muscular structures in order to support teaching of musculoskeletical concepts in a remote physiology class. The virtual environment simulates the movement of flexion and extension of the elbow and the muscular contraction. Current preliminary results show that the content developed within telepresence application can compensate for the lack of physical presence of the instructor in the classroom. © Springer-Verlag Berlin Heidelberg 2007.