000144867 001__ 144867
000144867 005__ 20240912134241.0
000144867 0247_ $$2doi$$a10.1109/JBHI.2024.3428845
000144867 0248_ $$2sideral$$a139727
000144867 037__ $$aART-2024-139727
000144867 041__ $$aeng
000144867 100__ $$aRinkevicius, Mantas
000144867 245__ $$aObstructive sleep apnea characterization: a multimodal cross-recurrence-based approach for investigating atrial fibrillation
000144867 260__ $$c2024
000144867 5060_ $$aAccess copy available to the general public$$fUnrestricted
000144867 5203_ $$aObstructive sleep apnea (OSA) is believed to contribute significantly to atrial fibrillation (AF) development in certain patients. Recent studies indicate a rising risk of AF with increasing OSA severity. However, the commonly used apnea-hypopnea index in clinical practice may not adequately account for the potential cardiovascular risks associated with OSA. (1) Objective: to propose and explore a novel method for assessing OSA severity considering potential connection to cardiac arrhythmias. (2) Method: the approach utilizes cross-recurrence features to characterize OSA and AF by considering the relationships among oxygen desaturation, pulse arrival time, and heart-beat intervals. Multinomial logistic regression models were trained to predict four levels of OSA severity and four groups related to heart rhythm issues. The rank biserial correlation coefficient, \boldmath rrb, was used to estimate effect size for statistical analysis. The investigation was conducted using the MESA database, which includes polysomnography data from 2055 subjects. (3) Results: a derived cross-recurrence-based index showed a significant association with a higher OSA severity (\boldmath p 0.01) and the presence of AF (\boldmath p 0.01). Additionally, the proposed index had a significantly larger effect, \boldmath rrb, than the conventional apnea-hypopnea index in differentiating increasingly severe heart rhythm issue groups: 0.14 0.06, 0.33 0.10, and 0.41 0.07. (4) Significance: the proposed method holds relevance as a supplementary diagnostic tool for assessing the authentic state of sleep apnea in clinical practice.
000144867 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000144867 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000144867 700__ $$0(orcid)0000-0001-8742-0072$$aLázaro, Jesús$$uUniversidad de Zaragoza
000144867 700__ $$0(orcid)0000-0001-7285-0715$$aGil, Eduardo$$uUniversidad de Zaragoza
000144867 700__ $$0(orcid)0000-0003-3434-9254$$aLaguna, Pablo$$uUniversidad de Zaragoza
000144867 700__ $$aCharlton, Peter H.
000144867 700__ $$0(orcid)0000-0003-1272-0550$$aBailón, Raquel$$uUniversidad de Zaragoza
000144867 700__ $$aMarozas, Vaidotas
000144867 7102_ $$15007$$2520$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Ingen.Sistemas y Automát.
000144867 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac.
000144867 773__ $$g(2024), [13 pp.]$$pIEEE j. biomed. health inform.$$tIEEE journal of biomedical and health informatics$$x2168-2194
000144867 8564_ $$s9002604$$uhttps://zaguan.unizar.es/record/144867/files/texto_completo.pdf$$yPostprint
000144867 8564_ $$s3698104$$uhttps://zaguan.unizar.es/record/144867/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000144867 909CO $$ooai:zaguan.unizar.es:144867$$particulos$$pdriver
000144867 951__ $$a2024-09-12-13:06:06
000144867 980__ $$aARTICLE