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Combined image-based approach for monitoring the adherence to inhaled medications

2020-08Documento de conferência Acesso restrito
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dc.contributor.authorVieira-Marques, Pedro
dc.contributor.authorTeixeira, João Fonseca
dc.contributor.authorValente, José
dc.contributor.authorPinho, Bernardo
dc.contributor.authorGuedes, Rui
dc.contributor.authorAlmeida, Rute
dc.contributor.authorJácome, Cristina
dc.contributor.authorPereira, Ana
dc.contributor.authorJacinto, Tiago
dc.contributor.authorAmaral, Rita
dc.contributor.authorGonçalves, Ivânia
dc.contributor.authorSousa, Ana Sá
dc.contributor.authorCouto, Mariana
dc.contributor.authorMagalhães, Manuel
dc.contributor.authorBordalo, Diana
dc.contributor.authorSilva, Luís Nogueira
dc.contributor.authorFonseca, J. Almeida
dc.date.accessioned2021-01-05T16:08:47Z
dc.date.available2021-01-05T16:08:47Z
dc.date.issued2020-08
dc.description.abstractThe adherence to inhaled controller medications is of critical importance to achieve good clinical results in patients with chronic respiratory diseases. To objectively verify the adherence, a detection tool was previously developed and integrated in the mobile application InspirerMundi, based on image processing methods. In this work, a new approach for enhanced adherence verification was developed. In a first phase template matching is employed to confirm the inhaler positioning and to locate the dose counter. In a second phase Google ML Kit framework is used for the detection of each numerical dose in the dose counter. The proposed approach was validated through a new detection tool pilot implementation, using a set of images collected by patients using the application in their daily life. Performance of each of the two phases was evaluated for a set of commonly used inhaler devices. Promising results were achieved showing the potential of mobile embedded sensors without the need for external devices.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationVieira-Marques, P., Teixeira, J. F., Valente, J., Pinho, B., Guedes, R., Almeida, R., Jácome, C., Pereira, A., Jacinto, T., Amaral, R., Gonçalves, I., Sá Sousa, A., Couto, M., Pereira, M., Magalhães, M., Bordalo, D., Nogueira Silva, L., & Almeida Fonseca, J. (2020). Combined Image-Based Approach for Monitoring the Adherence to Inhaled Medications. Em J. Henriques, N. Neves, & P. de Carvalho (Eds.), XV Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019 (pp. 1399–1404). Springer International Publishing. https://doi.org/10.1007/978-3-030-31635-8_171
dc.identifier.doi10.1007/978-3-030-31635-8_171pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/16658
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerpt_PT
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-030-31635-8_171pt_PT
dc.subjectMedication adherencept_PT
dc.subjectSmart devicept_PT
dc.subjectImagept_PT
dc.titleCombined image-based approach for monitoring the adherence to inhaled medicationspt_PT
dc.typeconference object
dspace.entity.typePublication
person.familyNameAmaral
person.givenNameRita
person.identifierR-00H-83K
person.identifier.ciencia-idED1E-5481-48E1
person.identifier.ciencia-id1A1E-751F-50F0
person.identifier.orcid0000-0002-7897-1101
person.identifier.orcid0000-0002-0233-830X
person.identifier.ridE-5535-2017
person.identifier.scopus-author-id56067841600
rcaap.rightsclosedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationd8696cf3-a961-4d88-963a-cefd61572ae3
relation.isAuthorOfPublication790fdd33-acdb-4dfe-88dc-38538486c9b3
relation.isAuthorOfPublication.latestForDiscovery790fdd33-acdb-4dfe-88dc-38538486c9b3

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