Repository logo
 
Publication

InspirerMundi—remote monitoring of inhaled medication adherence through objective verification based on combined image processing techniques

2021-04-27Journal article Open access
Simple item page
dc.contributor.authorPedro, Vieira-Marques
dc.contributor.authorRute, Almeida
dc.contributor.authorTeixeira, João F.
dc.contributor.authorValente, José
dc.contributor.authorJácome, Cristina
dc.contributor.authorCachim, Afonso
dc.contributor.authorGuedes, Rui
dc.contributor.authorPereira, Ana
dc.contributor.authorJacinto, Tiago
dc.contributor.authorFonseca, João A.
dc.date.accessioned2021-07-06T11:08:39Z
dc.date.available2021-07-06T11:08:39Z
dc.date.issued2021-04-27
dc.description.abstractThe adherence to inhaled controller medications is of critical importance for achieving good clinical results in patients with chronic respiratory diseases. Self-management strategies can result in improved health outcomes and reduce unscheduled care and improve disease control. However, adherence assessment suffers from difficulties on attaining a high grade of trustworthiness given that patient self-reports of high-adherence rates are known to be unreliable. Objective Aiming to increase patient adherence to medication and allow for remote monitoring by health professionals, a mobile gamified application was developed where a therapeutic plan provides insight for creating a patient-oriented self-management system. To allow a reliable adherence measurement, the application includes a novel approach for objective verification of inhaler usage based on real-time video capture of the inhaler's dosage counters. This approach uses template matching image processing techniques, an off-the-shelf machine learning framework, and was developed to be reusable within other applications. The proposed approach was validated by 24 participants with a set of 12 inhalers models. Results Performed tests resulted in the correct value identification for the dosage counter in 79% of the registration events with all inhalers and over 90% for the three most widely used inhalers in Portugal. These results show the potential of exploring mobile-embedded capabilities for acquiring additional evidence regarding inhaler adherence. This system helps to bridge the gap between the patient and the health professional. By empowering the first with a tool for disease self-management and medication adherence and providing the later with additional relevant data, it paves the way to a better-informed disease management decision.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationVieira-Marques, P., Almeida, R., Teixeira, J. F., Valente, J., Jácome, C., Cachim, A., Guedes, R., Pereira, A., Jacinto, T., & Fonseca, J. A. (2021). InspirerMundi-Remote Monitoring of Inhaled Medication Adherence through Objective Verification Based on Combined Image Processing Techniques. Methods Inf Med. https://doi.org/10.1055/s-0041-1726277pt_PT
dc.identifier.doi10.1055/s-0041-1726277pt_PT
dc.identifier.issn0026-1270
dc.identifier.urihttp://hdl.handle.net/10400.22/18087
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherThiemept_PT
dc.relation.publisherversionhttps://www.thieme-connect.com/products/ejournals/abstract/10.1055/s-0041-1726277pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectMedication adherencept_PT
dc.subjectmHealthpt_PT
dc.subjectRemote monitoringpt_PT
dc.subjectSerious gamespt_PT
dc.titleInspirerMundi—remote monitoring of inhaled medication adherence through objective verification based on combined image processing techniquespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage11pt_PT
oaire.citation.startPage1pt_PT
person.identifier.ciencia-idED1E-5481-48E1
person.identifier.orcid0000-0002-7897-1101
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationd8696cf3-a961-4d88-963a-cefd61572ae3
relation.isAuthorOfPublication.latestForDiscoveryd8696cf3-a961-4d88-963a-cefd61572ae3

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
ART_Tiago_Jacinto.pdf
Size:
3.69 MB
Format:
Adobe Portable Document Format
Download

Collections

ESS - CAR - Artigos