Enabling the Internet of Mobile Crowdsourcing Health Things: A Mobile Fog Computing, Blockchain and IoT Based Continuous Glucose Monitoring System for Diabetes Mellitus Research and Care

UDC.coleccionInvestigaciónes_ES
UDC.departamentoEnxeñaría de Computadoreses_ES
UDC.grupoInvGrupo de Tecnoloxía Electrónica e Comunicacións (GTEC)es_ES
UDC.issue15es_ES
UDC.journalTitleSensorses_ES
UDC.startPage3319es_ES
UDC.volume19es_ES
dc.contributor.authorFernández-Caramés, Tiago M.
dc.contributor.authorFroiz-Míguez, Iván
dc.contributor.authorBlanco, Óscar
dc.contributor.authorFraga-Lamas, Paula
dc.date.accessioned2019-08-27T08:14:23Z
dc.date.available2019-08-27T08:14:23Z
dc.date.issued2019-07-28
dc.description.abstract[Abstract] Diabetes patients suffer from abnormal blood glucose levels, which can cause diverse health disorders that affect their kidneys, heart and vision. Due to these conditions, diabetes patients have traditionally checked blood glucose levels through Self-Monitoring of Blood Glucose (SMBG) techniques, like pricking their fingers multiple times per day. Such techniques involve a number of drawbacks that can be solved by using a device called Continuous Glucose Monitor (CGM), which can measure blood glucose levels continuously throughout the day without having to prick the patient when carrying out every measurement. This article details the design and implementation of a system that enhances commercial CGMs by adding Internet of Things (IoT) capabilities to them that allow for monitoring patients remotely and, thus, warning them about potentially dangerous situations. The proposed system makes use of smartphones to collect blood glucose values from CGMs and then sends them either to a remote cloud or to distributed fog computing nodes. Moreover, in order to exchange reliable, trustworthy and cybersecure data with medical scientists, doctors and caretakers, the system includes the deployment of a decentralized storage system that receives, processes and stores the collected data. Furthermore, in order to motivate users to add new data to the system, an incentive system based on a digital cryptocurrency named GlucoCoin was devised. Such a system makes use of a blockchain that is able to execute smart contracts in order to automate CGM sensor purchases or to reward the users that contribute to the system by providing their own data. Thanks to all the previously mentioned technologies, the proposed system enables patient data crowdsourcing and the development of novel mobile health (mHealth) applications for diagnosing, monitoring, studying and taking public health actions that can help to advance in the control of the disease and raise global awareness on the increasing prevalence of diabetes.es_ES
dc.description.sponsorshipXunta de Galicia; ED431G/01es_ES
dc.description.sponsorshipXunta de Galicia; ED431C 2016-045es_ES
dc.description.sponsorshipAgencia Estatal de Investigación de España; TEC2016-75067-C4-1-Res_ES
dc.identifier.citationFERNÁNDEZ-CARAMÉS, Tiago M., et al. Enabling the Internet of Mobile Crowdsourcing Health Things: A Mobile Fog Computing, Blockchain and IoT Based Continuous Glucose Monitoring System for Diabetes Mellitus Research and Care. Sensors, 2019, vol. 19, no 15, p. 3319.es_ES
dc.identifier.doi10.3390/s19153319
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/2183/23862
dc.language.isoenges_ES
dc.publisherM D P I AGes_ES
dc.relation.urihttps://doi.org/10.3390/s19153319es_ES
dc.rightsAtribución 3.0 Españaes_ES
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectDiabeteses_ES
dc.subjectGlucose monitoringes_ES
dc.subjectCGMes_ES
dc.subjectFog computinges_ES
dc.subjectIoTes_ES
dc.subjectBlockchaines_ES
dc.subjectCrowdsourcing mHealthes_ES
dc.subjectPublic healthes_ES
dc.subjectDecision supportes_ES
dc.subjectPersonalized medicinees_ES
dc.titleEnabling the Internet of Mobile Crowdsourcing Health Things: A Mobile Fog Computing, Blockchain and IoT Based Continuous Glucose Monitoring System for Diabetes Mellitus Research and Carees_ES
dc.typejournal articlees_ES
dspace.entity.typePublication
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relation.isAuthorOfPublication.latestForDiscovery79dbfabd-7261-41ff-9667-2f774d5f341e

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