000086116 001__ 86116
000086116 005__ 20221020131653.0
000086116 0247_ $$2doi$$a10.1109/JBHI.2018.2882142
000086116 0248_ $$2sideral$$a106753
000086116 037__ $$aART-2019-106753
000086116 041__ $$aeng
000086116 100__ $$0(orcid)0000-0002-0690-3193$$aPeláez Coca, María Dolores
000086116 245__ $$aPhotoplethysmographic Waveform Versus Heart Rate Variability to Identify Low Stress States. Attention Test
000086116 260__ $$c2019
000086116 5060_ $$aAccess copy available to the general public$$fUnrestricted
000086116 5203_ $$aOur long-term goal is the development of an automatic identifier of attentional states. In order to accomplish it, we should firstly be able to identify different states based on physiological signals. So, the first aim of this work is to identify the most appropriate features, to detect a subject high performance state. For that, a database of electrocardiographic (ECG) and photopletysmographic (PPG) signals is recorded in two unequivocally defined states (rest and attention task) from up to 50 subjects as a sample of the population. Time and frequency parameters of heart/pulse rate variability have been computed from the ECG/PPG signals respectively. Additionally, the respiratory rate has been estimated from both signals and also six morphological parameters from PPG. In total, twenty six features are obtained for each subject. They provide information about the autonomic nervous system and the physiological response of the subject to an attention demand task. Results show an increase of sympathetic activation when the subjects perform the attention test. The amplitude and width of the PPG pulse were more sensitive that the classical sympathetic markers (normalised power in LF and LF/HF ratio) for identifying this attentional state. State classification accuracy reaches a mean of 89 $\pm$ 2%, a maximum of 93% and a minimum of 85%, in the hundred classifications made by only selecting four parameters extracted from the PPG signal (pulse amplitude, pulse width, pulse downward slope and mean pulse rate). These results suggest that attentional states could be identified by PPG.
000086116 536__ $$9info:eu-repo/grantAgreement/ES/UZ/UZ2017-TEC-04$$9info:eu-repo/grantAgreement/ES/UZ/CUD2013-11$$9info:eu-repo/grantAgreement/ES/MINECO/TIN2014-5356-R$$9info:eu-repo/grantAgreement/ES/MINECO/TEC2014-54143-P$$9info:eu-repo/grantAgreement/ES/DGA-FEDER/T39-17R-BSICoS
000086116 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000086116 590__ $$a5.223$$b2019
000086116 591__ $$aCOMPUTER SCIENCE, INFORMATION SYSTEMS$$b15 / 156 = 0.096$$c2019$$dQ1$$eT1
000086116 591__ $$aMATHEMATICAL & COMPUTATIONAL BIOLOGY$$b5 / 59 = 0.085$$c2019$$dQ1$$eT1
000086116 591__ $$aMEDICAL INFORMATICS$$b1 / 27 = 0.037$$c2019$$dQ1$$eT1
000086116 591__ $$aCOMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS$$b12 / 109 = 0.11$$c2019$$dQ1$$eT1
000086116 592__ $$a1.306$$b2019
000086116 593__ $$aBiotechnology$$c2019$$dQ1
000086116 593__ $$aHealth Information Management$$c2019$$dQ1
000086116 593__ $$aElectrical and Electronic Engineering$$c2019$$dQ1
000086116 593__ $$aComputer Science Applications$$c2019$$dQ1
000086116 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000086116 700__ $$0(orcid)0000-0003-0630-4366$$aLozano Albalate, María Teresa
000086116 700__ $$0(orcid)0000-0003-2596-7237$$aHernando Sanz, Alberto
000086116 700__ $$0(orcid)0000-0002-8953-0600$$aAiger Vallés, Montserrat$$uUniversidad de Zaragoza
000086116 700__ $$0(orcid)0000-0001-7285-0715$$aGil, Eduardo$$uUniversidad de Zaragoza
000086116 7102_ $$14009$$2740$$aUniversidad de Zaragoza$$bDpto. Psicología y Sociología$$cÁrea Psicología Social
000086116 7102_ $$15007$$2520$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Ingen.Sistemas y Automát.
000086116 773__ $$g23, 5 (2019), 1940-1951$$pIEEE j. biomed. health inform.$$tIEEE journal of biomedical and health informatics$$x2168-2194
000086116 8564_ $$s208357$$uhttps://zaguan.unizar.es/record/86116/files/texto_completo.pdf$$yPostprint
000086116 8564_ $$s139352$$uhttps://zaguan.unizar.es/record/86116/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000086116 909CO $$ooai:zaguan.unizar.es:86116$$particulos$$pdriver
000086116 951__ $$a2022-10-20-13:05:38
000086116 980__ $$aARTICLE