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dc.creatorFernández Scagliusi, Santiago Joaquínes
dc.creatorPérez García, Pabloes
dc.creatorOprescu, Andreea M.es
dc.creatorMartín Fernández, Danieles
dc.creatorOlmo Fernández, Albertoes
dc.creatorHuertas Sánchez, Gloriaes
dc.creatorYúfera García, Albertoes
dc.date.accessioned2023-04-17T10:22:41Z
dc.date.available2023-04-17T10:22:41Z
dc.date.issued2023-03
dc.identifier.citationFernández Scagliusi, S.J., Pérez García, P., Oprescu, A. ., Martín Fernández, D., Olmo Fernández, A., Huertas Sánchez, G. y Yúfera García, A. (2023). Body posture determination for Heart Failure patients from ankle orientation measurements. IEEE Access, 10080938. https://doi.org/10.1109/ACCESS.2023.3261554.
dc.identifier.issn2169-3536es
dc.identifier.urihttps://hdl.handle.net/11441/144484
dc.description.abstractHeart-Failure (HF) is among the leading hospitalization causes in modern healthcare systems. In this paper, a method for performing continuous patient monitoring is presented with a focus on low power consumption. A prototype wearable device is being developed at the University of Sevilla to collect measurements. Among the sensing components there are two major blocks formed by a commercial biological impedance analog frontend from Analog Devices (AD5940) and an Inertial Motion Unit (IMU) capable of estimating attitude of the device. This information could provide a tremendous amount of information for the physician and help diagnose and remote monitor patients with HF. A major factor that can be analyzed to provide information on patient status is activity level and body states; time spent walking or standing, laying down or seated. In this work, a body tracking / activity estimation method is proposed for low power continuous monitoring. This study reports good results characterizing the laying down position and discriminating between laying down and standing/walking and seated. The presented results are relevant for clinical practice since body motion and position can serve as a health marker for patients. Additionally, the acquired motion information can be further processed to better understand artifacts and variations in the analog impedance measurements.es
dc.formatapplication/pdfes
dc.format.extent8 p.es
dc.language.isoenges
dc.publisherInstitute of Electrical and Electronics Engineerses
dc.relation.ispartofIEEE Access, 10080938.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectBody trackinges
dc.subjectPosition estimationes
dc.subjectPatient activityes
dc.subjectLow power monitoringes
dc.titleBody posture determination for Heart Failure patients from ankle orientation measurementses
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Tecnología Electrónicaes
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/10080938es
dc.identifier.doi10.1109/ACCESS.2023.3261554es
dc.contributor.groupUniversidad de Sevilla. TIC178: Diseño y Test de Circuitos Integrados de Señal Mixtaes
dc.journaltitleIEEE Accesses
dc.publication.issue10080938es

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