Assessment of Cardiorespiratory Interactions during Apneic Events in Sleep via Fuzzy Kernel Measures of Information Dynamics Article Swipe
Ivan Lazić
,
Riccardo Pernice
,
Tatjana Lončar-Turukalo
,
Gorana Mijatović
,
Luca Faes
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3390/e23060698
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3390/e23060698
Apnea and other breathing-related disorders have been linked to the development of hypertension or impairments of the cardiovascular, cognitive or metabolic systems. The combined assessment of multiple physiological signals acquired during sleep is of fundamental importance for providing additional insights about breathing disorder events and the associated impairments. In this work, we apply information-theoretic measures to describe the joint dynamics of cardiorespiratory physiological processes in a large group of patients reporting repeated episodes of hypopneas, apneas (central, obstructive, mixed) and respiratory effort related arousals (RERAs). We analyze the heart period as the target process and the airflow amplitude as the driver, computing the predictive information, the information storage, the information transfer, the internal information and the cross information, using a fuzzy kernel entropy estimator. The analyses were performed comparing the information measures among segments during, immediately before and after the respiratory event and with control segments. Results highlight a general tendency to decrease of predictive information and information storage of heart period, as well as of cross information and information transfer from respiration to heart period, during the breathing disordered events. The information-theoretic measures also vary according to the breathing disorder, and significant changes of information transfer can be detected during RERAs, suggesting that the latter could represent a risk factor for developing cardiovascular diseases. These findings reflect the impact of different sleep breathing disorders on respiratory sinus arrhythmia, suggesting overall higher complexity of the cardiac dynamics and weaker cardiorespiratory interactions which may have physiological and clinical relevance.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/e23060698
- https://www.mdpi.com/1099-4300/23/6/698/pdf?version=1622481957
- OA Status
- gold
- Cited By
- 9
- References
- 71
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3163971319
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3163971319Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/e23060698Digital Object Identifier
- Title
-
Assessment of Cardiorespiratory Interactions during Apneic Events in Sleep via Fuzzy Kernel Measures of Information DynamicsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-05-31Full publication date if available
- Authors
-
Ivan Lazić, Riccardo Pernice, Tatjana Lončar-Turukalo, Gorana Mijatović, Luca FaesList of authors in order
- Landing page
-
https://doi.org/10.3390/e23060698Publisher landing page
- PDF URL
-
https://www.mdpi.com/1099-4300/23/6/698/pdf?version=1622481957Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/1099-4300/23/6/698/pdf?version=1622481957Direct OA link when available
- Concepts
-
Cardiorespiratory fitness, Heart rate variability, Periodic breathing, Transfer entropy, Information transfer, Medicine, Apnea, Heart rate, Computer science, Internal medicine, Artificial intelligence, Blood pressure, Telecommunications, Principle of maximum entropyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
9Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2023: 4, 2022: 3Per-year citation counts (last 5 years)
- References (count)
-
71Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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