| Title |
Obstructive sleep apnea characterization: a multimodal cross-recurrence-based approach for investigating atrial fibrillation / |
| Authors |
Rinkevičius, Mantas ; Lazaro, Jesus ; Gil, Eduardo ; Laguna, Pablo ; Charlton, Peter H ; Bailon, Raquel ; Marozas, Vaidotas |
| DOI |
10.1109/JBHI.2024.3428845 |
| Full Text |
|
| Is Part of |
IEEE Journal of biomedical and health informatics.. Piscataway, NJ : IEEE. 2024, vol. 28, iss. 10, p. 6155-6167.. ISSN 2168-2194. eISSN 2168-2208 |
| Keywords [eng] |
Apnea-hypopnea index (AHI) ; atrial fibrillation (AF) ; cross-recurrence properties ; heart rate interval ; multinomial logistic regression ; obstructive sleep apnea (OSA) severity ; oxygen desaturation ; pulse arrival time (PAT) ; time series |
| Abstract [eng] |
Obstructive 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 $r_{rb}$, 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 $r_{rb}$, 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. |
| Published |
Piscataway, NJ : IEEE |
| Type |
Journal article |
| Language |
English |
| Publication date |
2024 |
| CC license |
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