Efficient use of mobile devices for quantification of pressure injury images

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dc.contributor.authorGarcía-Zapirain, Begoña
dc.contributor.authorSierra-Sosa, Daniel
dc.contributor.authorOrtiz Puerta, David
dc.contributor.authorIsaza Monsalve, Mariano
dc.contributor.authorElmaghraby, Adel Said
dc.date.accessioned2026-05-05T10:08:05Z
dc.date.available2026-05-05T10:08:05Z
dc.date.issued2018-01-01
dc.date.updated2026-05-05T10:08:05Z
dc.descriptionPonencia presentada en la 6th International Conference on Biomedical Engineering and Biotechnology (iCBEB2017), celebrada en Guangzhou, entre el 17 y el 20 de octubre de 2017en
dc.description.abstractPressure Injuries are chronic wounds that are formed due to the constriction of the soft tissues against bone prominences. In order to assess these injuries, the medical personnel carry out the evaluation and diagnosis using visual methods and manual measurements, which can be inaccurate and may generate discomfort in the patients. By using segmentation techniques, the Pressure Injuries can be extracted from an image and accurately parameterized, leading to a correct diagnosis. In general, these techniques are based on the solution of differential equations and the involved numerical methods are demanding in terms of computational resources. In previous work, we proposed a technique developed using toroidal parametric equations for image decomposition and segmentation without solving differential equations. In this paper, we present the development of a mobile application useful for the non-contact assessment of Pressure Injuries based on the toroidal decomposition from images. The usage of this technique allows us to achieve an accurate segmentation almost 8 times faster than Active Contours without Edges (ACWE) and Dynamic Contours methods.We describe the techniques and the implementation for Android devices using Python and Kivy. This application allows for the segmentation and parameterization of injuries, obtain relevant information for the diagnosis and tracking the evolution of patient's injuries.en
dc.description.sponsorshipPartial founding: IT- 905-16 to eVIDA research group from the Basque Government, JC2015-00305 José Castillejo Research Stay Grant from the Spanish Ministry and ACM2017_09 from the University of Deustoen
dc.identifier.citationGarcia-Zapirain, B., Sierra-Sosa, D., Ortiz, D., Isaza-Monsalve, M., & Elmaghraby, A. (2018). Efficient use of mobile devices for quantification of pressure injury images. Technology and Health Care, 26(S1), S269-S280. https://doi.org/10.3233/THC-174612
dc.identifier.doi10.3233/THC-174612
dc.identifier.issn0928-7329
dc.identifier.urihttps://hdl.handle.net/20.500.14454/5864
dc.language.isoeng
dc.publisherIOS Press
dc.rights© 2018 – IOS Press and the authors
dc.subject.otherAndroid
dc.subject.otherImage segmentation
dc.subject.otherKivy
dc.subject.otherMobile application
dc.subject.otherPressure ulcer
dc.subject.otherPython
dc.titleEfficient use of mobile devices for quantification of pressure injury imagesen
dc.typeconference paper
dcterms.accessRightsopen access
oaire.citation.endPageS280
oaire.citation.issueS1
oaire.citation.startPageS269
oaire.citation.titleTechnology and Health Care
oaire.citation.volume26
oaire.licenseConditionhttps://creativecommons.org/licenses/by-nc/4.0/
oaire.versionVoR
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