Evolution of cardiorespiratory interactions with age. [PDF]
Philos Trans A Math Phys Eng Sci, 2013 We describe an analysis of cardiac and respiratory time series recorded from 189 subjects of both genders aged 16–90. By application of the synchrosqueezed wavelet transform, we extract the respiratory and cardiac frequencies and phases with better time resolution than is possible with the marked events procedure.
Iatsenko D +7 more
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Assessment of Cardiorespiratory Interactions during Apneic Events in Sleep via Fuzzy Kernel Measures of Information Dynamics [PDF]
Entropy, 2021 Apnea and other breathing-related disorders have been linked to the development of hypertension or impairments of the cardiovascular, cognitive or metabolic systems.
Ivan Lazic +4 more
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Time-Frequency Analysis of Cardiovascular and Cardiorespiratory Interactions During Orthostatic Stress by Extended Partial Directed Coherence [PDF]
Entropy, 2019 In this study, the linear method of extended partial directed coherence (ePDC) was applied to establish the temporal dynamic behavior of cardiovascular and cardiorespiratory interactions during orthostatic stress at a 70° head-up tilt (HUT) test on ...
Sonia Charleston-Villalobos +9 more
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Pharyngoesophageal and cardiorespiratory interactions: potential implications for premature infants at risk of clinically significant cardiorespiratory events. [PDF]
Am J Physiol Gastrointest Liver Physiol, 2019 The aims of this study were to 1) examine pharyngoesophageal and cardiorespiratory responses to provoking pharyngeal stimuli, and 2) to determine potential contributory factors impacting heart rate (HR) changes to provide insight into cardiorespiratory events occurring in preterm infants.
Hasenstab KA +4 more
europepmc +4 more sources
Monitoring of respiration and cardiorespiratory interactions from multichannel seismocardiography signals. [PDF]
Phys Eng Sci MedSeismocardiography (SCG) uses accelerometers to record cardiac-induced accelerations of the chest wall. Cardiorespiratory interactions cause changes in amplitude and morphology of the SCG signals.
Centracchio J +5 more
europepmc +3 more sources
Evaluating sleep quality in a non-intrusive manner using contactless ballistocardiography and audio signals through a LSTM-TCN machine learning model [PDF]
Frontiers in Network PhysiologyBackgroundNon-intrusive sleep detection devices are increasingly sought after because conventional sleep studies require multiple body-attached sensors, which are uncomfortable and impractical for routine use.
Dominic Jaworski +5 more
doaj +2 more sources
A multimodal stacked ensemble model for cardiac output prediction utilizing cardiorespiratory interactions during general anesthesia [PDF]
Scientific ReportsThis study examined the possibility of estimating cardiac output (CO) using a multimodal stacking model that utilizes cardiopulmonary interactions during general anesthesia and outlined a retrospective application of machine learning regression model to ...
Albion Dervishi
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The Monitoring Paradox: Frontal Electroencephalography Reveals Profound Cortical Depression Despite Cardiovascular Stability in Dogs Undergoing Tibial Plateau Leveling Osteotomy with Isoflurane Anesthesia and Multimodal Analgesic Protocols [PDF]
Veterinary SciencesConventional monitoring relies on autonomic reflexes but fails to directly measure cortical hypnosis, creating a critical information gap regarding true brain state.
Jeff C. Ko +5 more
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Changes in visceral adiposity, body composition, and cardiometabolic profiles following a supervised mixed exercise program in women with normal-weight obesity and obesity [PDF]
BMC Sports Science, Medicine and RehabilitationObjective Normal-weight obesity (NWO) describes individuals with a normal body mass index (BMI) but elevated adiposity, potentially underestimating cardiometabolic risk. Mixed exercise may be particularly relevant for NWO, as it targets body composition,
Chuanzhi Wang +11 more
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Respiratory Sinus Arrhythmia is Mainly Driven by Central Feedforward Mechanisms in Healthy Humans
Frontiers in Physiology, 2022 Heart rate variability (HRV) has prognostic and diagnostic potential, however, the mechanisms behind respiratory sinus arrhythmia (RSA), a main short-term HRV, are still not well understood.
Maria Skytioti, Maja Elstad
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