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dc.contributor.authorLa Blunda, Luigi
dc.contributor.authorGutiérrez Madroñal, Lorena 
dc.contributor.authorWagner, Matthias F.
dc.contributor.authorMedina Bulo, María Inmaculada 
dc.contributor.otherIngeniería Informáticaes_ES
dc.date.accessioned2020-12-17T11:54:59Z
dc.date.available2020-12-17T11:54:59Z
dc.date.issued2020
dc.identifier.issn2169-3536
dc.identifier.urihttp://hdl.handle.net/10498/24083
dc.description.abstractFalls can have serious consequences for people, leading to restrictions in mobility or, in the worst case, to traumatic-based cases of death. To provide rapid assistance, a portable fall detection system has been developed that is capable of detecting fall situations and, if necessary, alerting emergency services without any user interaction. The prototype is designed to facilitate reliable fall detection and to classify several fall types and human activities. This solution represents a life-saving service for every person that will significantly improve assistance in the case of fall events, which are a part of daily life. Additionally, this approach facilitates independent system operation, since the system does not depend on sensor or network units located within a building structure. This article also introduces fall analysis. To guarantee functional safety, a hazard analysis method named system-theoretic accident model and processes (STAMP) is applied.es_ES
dc.formatapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC,es_ES
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceIEEE Access ( Volume: 8) Page(s): 193060 - 193074es_ES
dc.subjectAccelerationes_ES
dc.subjectElectrocardiographyes_ES
dc.subjectBiomedical monitoringes_ES
dc.subjectBody area networkses_ES
dc.subjectPrototypeses_ES
dc.subjectReliabilityes_ES
dc.subjectBody area networkes_ES
dc.subjecteHealthes_ES
dc.subjectfall detectiones_ES
dc.subjecthuman activityes_ES
dc.subjectwireless smart sensor networkses_ES
dc.titleA Wearable Fall Detection System Based on Body Area Networkses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.1109/ACCESS.2020.3032497


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Atribución 4.0 Internacional
This work is under a Creative Commons License Atribución 4.0 Internacional