1,721,103 research outputs found

    Imaging facial sign of neuro-psychophysiological responses

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    In the present paper, we introduce an integrated framework for detecting peripheral sympathetic responses through purely imaging means. The measurements are performed on three facial areas of sympathetic importance, that is, periorbital, supraorbital, and maxillary. To the best of our knowledge, this is the first time that the sympathetic importance of the maxillary area is analyzed. Because the imaging measurements are thermal in nature and are composed of multiple components of variable frequency (i.e., blood flow, sweat gland activation, and breathing), we chose wavelets as the image analysis framework. The measure- ments also carry substantial noise due to imperfections in tissue tracking and segmentation. The image analysis is grounded on gal- vanic skin response (GSR) signals, which are still considered the golden standard in peripheral neurophysiological and psychophys- iological studies. The experimental results show that monitoring of the facial channels yields similar detecting power to GSR’s. How- ever, detailed quantification of the responses, although feasible in GSR through appropriate modeling, is quite difficult in the facial channels for the moment. Further improvements in facial tissue tracking and segmentation are bound to overcome this limitation. This paper opens a new research area that leads to unobtrusive screening technologies in neurophysiology and psychophysiology

    Nailfold capillaroscopy pattern recognition using texture analysis

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    Nailfold capillaroscopy (NC) is a non-invasive imaging technique employed to assess the condition of blood capillaries in the nailfold. It is particularly useful for early detection of scleroderma spectrum disorders and evaluation of Raynaud's phenomenon. While diagnosis based on NC is typically performed by manual inspection, computerised nailfold capillaroscopy can help to reduce the inherent ambiguity present in human judgement while greatly reducing the time for diagnosis. Diagnosis of NC images involves the recognition of early, active and late patterns, also known as NC patterns or scleroderma (SD) patterns, in the images. In this paper, we propose a holistic method to classify NC images in these well known patterns. In particular, we employ texture analysis to describe the underlying patterns, coupled with a classifier to first identify patterns in fingers, and then, through a voting strategy, reach a decision for a patient. Experimental results on a set of NC images with known ground truth demonstrate the efficacy of our approach

    Thermal infrared imaging in psychophysiology: potentialities and limits

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    Functional infrared thermal imaging (fITI) is considered an upcoming, promising methodology in the emotional arena. Driven by sympathetic nerves, observations of affective nature derive from muscular activity subcutaneous blood flow as well as perspiration patterns in specific body parts. A review of 23 experimental procedures that employed fITI for investigations of affective nature is provided, along with the adopted experimental protocol and the thermal changes that took place on selected regions of interest in human and nonhuman subjects. Discussion is provided regarding the selection of an appropriate baseline, the autonomic nature of the thermal print, the experimental setup, methodological issues, limitations, and considerations, as well as future directions
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