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dc.creatorScherz, Wilhelm Danieles
dc.creatorOrtega Ramírez, Juan Antonioes
dc.creatorSeepold, Ralfes
dc.creatorMartínez Madrid, Natividades
dc.date.accessioned2023-02-24T10:49:31Z
dc.date.available2023-02-24T10:49:31Z
dc.date.issued2016
dc.identifier.citationScherz, W.D., Ortega Ramírez, J.A., Seepold, R. y Martínez Madrid, N. (2016). Stress Determent via QRS Complex Detection, Analysis and Pre-processing. En Mobile Networks for Biometric Data Analysis (225-234), Ancona (Italia): SpringerLink.
dc.identifier.isbn978-3-319-39698-9 (impreso)es
dc.identifier.isbn978-3-319-39700-9 (online)es
dc.identifier.urihttps://hdl.handle.net/11441/142970
dc.description.abstractStress is recognized as a predominant disease with raising costs for rehabilitation and treatment. Currently there several different approaches that can be used for determining and calculating the stress levels. Usually the methods for determining stress are divided in two categories. The first category do not require any special equipment for measuring the stress. This category useless the variation in the behaviour patterns that occur while stress. The core disadvantage for the category is their limitation to specific use case. The second category uses laboratories instruments and biological sensors. This category allow to measure stress precisely and proficiently but on the same time they are not mobile and transportable and do not support real-time feedback. This work presents a mobile system that provides the calculation of stress. For achieving this, the of a mobile ECG sensor is analysed, processed and visualised over a mobile system like a smartphone. This work also explains the used stress measurement algorithm. The result of this work is a portable system that can be used with a mobile system like a smartphone as visual interface for reporting the current stress level.es
dc.formatapplication/pdfes
dc.format.extent10es
dc.language.isoenges
dc.publisherSpringerLinkes
dc.relation.ispartofMobile Networks for Biometric Data Analysis (2016), pp. 225-234.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleStress Determent via QRS Complex Detection, Analysis and Pre-processinges
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/submittedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticoses
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-319-39700-9_18es
dc.identifier.doi10.1007/978-3-319-39700-9_18es
dc.publication.initialPage225es
dc.publication.endPage234es
dc.eventtitleMobile Networks for Biometric Data Analysises
dc.eventinstitutionAncona (Italia)es

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