The authors describe the importance of music design for background instrumental music and the effect on task performance. Three instrumental music conditions that differ in tempo, articulation, mode, and musical meter were tested using a complex task scenario. The task was performed using a complicated web-interface that required users to focus their attention and perform several specific interactions for successfully finishing the task. All the interactions with the interface were recorded. Moreover, a mixed assessment of the emotional state, perceived task performance, and music perception was asked to participants upon task completion. Experimental results revealed that music design has complex effects on task performance and emotion. Also, the results revealed important trends that can help design music environments to control frustration when confronted to complex and cognitively demanding tasks.
vii Parlamento Europeo) del proyecto europeo TC-STAR. Analizamos distintas métricas acerca del rendimiento de los sistemas y evaluamos las mejoras propuestas con respecto a los sistemas de referencia.
Parkinson's disease (PD) is a degenerative condition of thenervous system, which manifests itself primarily as muscle stiness, hypokinesia,bradykinesia, and tremor. In patients suering from advancedstages of PD, Deep Brain Stimulation neurosurgery (DBS) is the bestalternative to medical treatment, especially when they become tolerantto the drugs. This surgery produces a neuronal activity, a result of electricalstimulation, whose quantication is known as Volume of TissueActivated (VTA). To locate the VTA correctly in the cerebral volumespace, one should be aware of exactly the location on the tip of the DBSelectrodes, as well as their spatial projection.In this paper, we automatically locate DBS electrodes using a thresholdbasedmedical imaging segmentation methodology, determining the optimalvalue of this threshold adaptively. The proposed method allows thelocalization of DBS electrodes in Computed Tomography (CT) images,with high noise tolerance, using automatic threshold detection methods.
Reservados todos los derechosRecuperación de información por contenido orientada a la clasificación de grupos de microcalcificaciones en mamografías -PROTOCAM
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