Dynamics Underlying Patient-Ventilator Interactions during nocturnal Noninvasive Ventilation
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Summary
Four groups of patients were defined according to the interplay between asynchrony events and leaks and a Shannon entropy was proposed as a new sleep fragmentation quantification methodology.
- Type
- article
- Published
- 2012-04-06
- Cited by
- 7
- References
- 74
- OpenAlex
- https://openalex.org/W2024308984
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:29080449
Keywords
Asynchrony (computer programming), Nocturnal, Chronic respiratory failure, Ventilation (architecture), Medicine
References
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- Interactions patient–ventilateur
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- Recurrence quantification analysis of the logistic equation with transients
- Topological analysis and synthesis of chaotic time series
- Effects of different ventilator settings on sleep and inspiratory effort in patients with neuromuscular disease.
- A new test for chaos
- Recurrence plots and Shannon entropy for a dynamical analysis of asynchronisms in noninvasive mechanical ventilation.
- Effects of inspiratory loading on the chaotic dynamics of ventilatory flow in humans
- Chaotic dynamics of respiratory sounds
- A Noninvasive Method to Identify Ineffective Triggering in Patients with Noninvasive Pressure Support Ventilation
Cited by
- Individuality of breathing patterns in patients under noninvasive mechanical ventilation evidenced by chaotic global models.
- Global models for patient-ventilator interactions in noninvasive ventilation with asynchronies
- Leakage Estimation Using Kalman Filtering in Noninvasive Mechanical Ventilation
- Realistic human muscle pressure for driving a mechanical lung
- Synchronizability of nonidentical weakly dissipative systems.
- Recurrence plots for the assessment of patient-ventilator interactions quality during invasive mechanical ventilation.
- Automatic Sleep Scoring from a Single Electrode Using Delay Differential Equations
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