dc.creator | Scherz, Wilhelm Daniel | es |
dc.creator | Ortega Ramírez, Juan Antonio | es |
dc.creator | Seepold, Ralf | es |
dc.creator | Conti, Massimo | es |
dc.date.accessioned | 2023-02-20T10:44:20Z | |
dc.date.available | 2023-02-20T10:44:20Z | |
dc.date.issued | 2017-06 | |
dc.identifier.citation | Scherz, W.D., Ortega Ramírez, J.A., Seepold, R. y Conti, M. (2017). Pattern recognition techniques and classification sets supporting behavioural tagging when using a limited number of body sensors. En EMBEC (European Medical and Biological Engineering Conference) & NBC (Nordic-Baltic Conference on Biomedical Engineering and Medical Physics) 2017 Tampere (Finlandia): Springer Nature Singapore. | |
dc.identifier.isbn | 978-981-10-5121-0 (impreso) | es |
dc.identifier.isbn | 978-981-10-5122-7 (online) | es |
dc.identifier.issn | 1680-0737 (impreso) | es |
dc.identifier.issn | 1433-9277 (online) | es |
dc.identifier.uri | https://hdl.handle.net/11441/142797 | |
dc.description.abstract | Stress and physical activities are important aspects of life of people. Body reactions on stress and on physical activities can be very similar but long-term stress leads to diseases and damages the body [1]. Currently there is no method to differentiate easily and clearly between
these two aspects in a time slot. We have confronted this problem while developing a mobile system for detection and analysis of stress. This paper presents an approach, which uses a long-term monitor with ECG/EKG capabilities and analysis of the heart rate data that is extracted
from the device. The focus of the work is to find characteristics that are useful for differentiation between physical activity and stress. | es |
dc.format | application/pdf | es |
dc.format.extent | 2 | es |
dc.language.iso | eng | es |
dc.publisher | Springer Nature Singapore | es |
dc.relation.ispartof | EMBEC (European Medical and Biological Engineering Conference) & NBC (Nordic-Baltic Conference on Biomedical Engineering and Medical Physics) 2017 (2017). | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | ECG | es |
dc.subject | Stress | es |
dc.subject | Physical activity | es |
dc.title | Pattern recognition techniques and classification sets supporting behavioural tagging when using a limited number of body sensors | 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 Lenguajes y Sistemas Informáticos | es |
dc.relation.publisherversion | https://link.springer.com/chapter/10.1007/978-981-10-5122-7_231 | es |
dc.identifier.doi | 10.1007/978-981-10-5122-7_231 | es |
dc.eventtitle | EMBEC (European Medical and Biological Engineering Conference) & NBC (Nordic-Baltic Conference on Biomedical Engineering and Medical Physics) 2017 | es |
dc.eventinstitution | Tampere (Finlandia) | es |
dc.relation.publicationplace | Singapore | es |