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Video Processing for Remote Respiration Monitoring
Alinovi, Davide
Raheli, Riccardo, dir.

Fecha: 2017
Resumen: Monitoring of vital signs is a key tool in medical diagnostics. Among fundamental vital parameters, the Respiratory Rate (RR) plays an important role as indicator of possible pathological events. For this reason, respiration needs to be carefully monitored in order to detect potential signs indicating possible changes of health conditions. In this work, novel techniques for the visualization and analysis of respiration by remote and non-invasive video monitoring, based on the study of breathing-related movements, are proposed. The lack of large video databases, associated with clinical data, essential for performance evaluation and optimization of the video processing-based algorithms, is also addressed; statistical models of respiration and apnea events are proposed together with proper simulators, useful to test the remote monitoring algorithms.
Derechos: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades. Creative Commons
Lengua: Anglès.
Documento: other ; abstract ; publishedVersion
Materia: Motion ; Tracking ; Video analysis ; Image and video processing ; Medical diagnosis ; Applications ; Remote sensing ; Respiration monitoring
Publicado en: ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 16 Núm. 2 (2017) , p. 9-12 (Special Issue on Recent PhD Thesis Dissemination (2017)) , ISSN 1577-5097

Adreça original: https://elcvia.cvc.uab.es/article/view/v16-n2-alinovi
Adreça alternativa: https://www.raco.cat/index.php/ELCVIA/article/view/336168
DOI: 10.5565/rev/elcvia.1124


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