Smart bracelet for anxiety

Navarro-Moreno, Noelia; Lebrato Vázquez, Clara; Molina Cantero, Alberto Jesús; Merino Monge, Manuel; Lafuente Arroyo, Sergio; Castro García, Juan Antonio

doi:10.29007/qb8z

Ponencia

dc.creator	Navarro-Moreno, Noelia	es
dc.creator	Lebrato Vázquez, Clara	es
dc.creator	Molina Cantero, Alberto Jesús	es
dc.creator	Merino Monge, Manuel	es
dc.creator	Lafuente Arroyo, Sergio	es
dc.creator	Castro García, Juan Antonio	es
dc.date.accessioned	2023-03-13T12:54:20Z
dc.date.available	2023-03-13T12:54:20Z
dc.date.issued	2023-02
dc.identifier.citation	Navarro-Moreno, N., Lebrato-Vázquez, C., Molina Cantero, A.J., Merino Monge, M., Lafuente Arroyo, S. y Castro García, J.A. (2023). Smart bracelet for anxiety. En V XoveTIC Conference. XoveTIC 2022 (108-111), University of A Coruña (Spain): Kalpa Publications in Computing.
dc.identifier.issn	2515-1762	es
dc.identifier.uri	https://hdl.handle.net/11441/143329
dc.description.abstract	This paper introduces a novel non-invasive wearable device that can infer whether people are suffering from anxiety or not. The device allows capturing physiological signals such as: electrodermal activity (EDA), skin temperature (ST), electrocardiography (ECG) and photoplethysmography (PPG), and provides an estimation of blood pressure -through the pulse transit time (PTT) technique- and breathing rate (BR) -by analyzing the heart rate variability-. The hardware also includes an SD card to store the signals for offline processing in laboratory tests.	es
dc.format	application/pdf	es
dc.format.extent	4 p.	es
dc.language.iso	eng	es
dc.publisher	Kalpa Publications in Computing	es
dc.relation.ispartof	V XoveTIC Conference. XoveTIC 2022 (2023), pp. 108-111.
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.subject	Anxiety	es
dc.subject	ECG	es
dc.subject	EDA	es
dc.subject	PPG	es
dc.title	Smart bracelet for anxiety	es
dc.type	info:eu-repo/semantics/conferenceObject	es
dcterms.identifier	https://ror.org/03yxnpp24
dc.type.version	info:eu-repo/semantics/publishedVersion	es
dc.rights.accessRights	info:eu-repo/semantics/openAccess	es
dc.contributor.affiliation	Universidad de Sevilla. Departamento de Tecnología Electrónica	es
dc.relation.projectID	PID2019-104323RB-C32	es
dc.relation.projectID	PID2019- 104323RB-C31	es
dc.relation.publisherversion	https://easychair.org/publications/paper/RTgC	es
dc.identifier.doi	10.29007/qb8z	es
dc.contributor.group	Universidad de Sevilla. TIC022: Tecnologías para la Asistencia, la Integración y la Salud	es
dc.publication.initialPage	108	es
dc.publication.endPage	111	es
dc.eventtitle	V XoveTIC Conference. XoveTIC 2022	es
dc.eventinstitution	University of A Coruña (Spain)	es
dc.contributor.funder	MCIN/AEI/ 10.13039/501100011033 grant PID2019-104323RB-C32	es
dc.contributor.funder	Spain’s Ministry of Science and Innovation PID2019- 104323RB-C31	es

Ficheros	Tamaño	Formato	Ver	Descripción
lebrato-vazquez_2022_smart.pdf	380.6Kb	[PDF]	Ver/Abrir

Este registro aparece en las siguientes colecciones

Ponencias (Tecnología Electrónica)

Mostrar el registro sencillo del ítem

Excepto si se señala otra cosa, la licencia del ítem se describe como: Attribution-NonCommercial-NoDerivatives 4.0 Internacional