Recurrence plots and Shannon entropy for a dynamical analysis of asynchronisms in noninvasive mechanical ventilation

Rabarimanantsoa, H.; Achour, L.; Letellier, Christophe; Cuvelier, A.; Muir, Jean-François

doi:10.1063/1.2435307

Cited by 32 publications

(13 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Beyond that, changes in chaos-like ventilatory complexity have also been observed in human diseases. They can help detect patient-ventilator dysharmony (31,40), contribute to predict the outcome of weaning from mechanical ventilation (13), and be used to adjust the level of continuous positive airway pressure in patients with the obstructive sleep apnea syndrome (35). This type of approach has also been proposed as a diagnostic tool to identify sleep apnea patients without resorting to overnight polysomnography (34) or to distinguish patients with panic disorder from normal individuals (72).…”

mentioning

confidence: 99%

Effects of maturation and acidosis on the chaos-like complexity of the neural respiratory output in the isolated brainstem of the tadpole,Rana esculenta

Straus

Samara²,

Fiamma³

et al. 2011

American Journal of Physiology-Regulatory, Integrative and Comp

View full text Add to dashboard Cite

Human ventilation at rest exhibits mathematical chaos-like complexity that can be described as long-term unpredictability mediated (in whole or in part) by some low-dimensional nonlinear deterministic process. Although various physiological and pathological situations can affect respiratory complexity, the underlying mechanisms remain incompletely elucidated. If such chaos-like complexity is an intrinsic property of central respiratory generators, it should appear or increase when these structures mature or are stimulated. To test this hypothesis, we employed the isolated tadpole brainstem model [ Rana ( Pelophylax) esculenta] and recorded the neural respiratory output (buccal and lung rhythms) of pre- ( n = 8) and postmetamorphic tadpoles ( n = 8), at physiologic (7.8) and acidic pH (7.4). We analyzed the root mean square of the cranial nerve V or VII neurograms. Development and acidosis had no effect on buccal period. Lung frequency increased with development ( P < 0.0001). It also increased with acidosis, but in postmetamorphic tadpoles only ( P < 0.05). The noise-titration technique evidenced low-dimensional nonlinearities in all the postmetamorphic brainstems, at both pH. Chaos-like complexity, assessed through the noise limit, increased from pH 7.8 to pH 7.4 ( P < 0.01). In contrast, linear models best fitted the ventilatory rhythm in all but one of the premetamorphic preparations at pH 7.8 ( P < 0.005 vs. postmetamorphic) and in four at pH 7.4 (not significant vs. postmetamorphic). Therefore, in a lower vertebrate model, the brainstem respiratory central rhythm generator accounts for ventilatory chaos-like complexity, especially in the postmetamorphic stage and at low pH. According to the ventilatory generators homology theory, this may also be the case in mammals.

show abstract

mentioning

confidence: 99%

Effects of maturation and acidosis on the chaos-like complexity of the neural respiratory output in the isolated brainstem of the tadpole,Rana esculenta

Straus

Samara²,

Fiamma³

et al. 2011

American Journal of Physiology-Regulatory, Integrative and Comp

View full text Add to dashboard Cite

show abstract

“…Nevertheless, the linear regression obtained from their data cannot be used since their measures were performed in subjects under exercise, contrary to patients who are commonly ventilated during their sleep. We thus retained a linear dependence roughly matching with T I = 1.5 s for f v = 10 cpm and T I = 1.0 s for f v = 30 cpm, as observed in previous studies [26,27]. The ratio T I T tot thus depends on the ventilatory frequency according to…”

Section: Inspiratory and Expiratory Durationsmentioning

confidence: 55%

Realistic human muscle pressure for driving a mechanical lung

Fresnel

Muir

Letellier

2014

EPJ Nonlinear Biomed Phys

View full text Add to dashboard Cite

Background: An important issue in noninvasive mechanical ventilation consists in understanding the origins of patient-ventilator asynchrony for reducing their incidence by adjusting ventilator settings to the intrinsic ventilatory dynamics of each patient. One of the possible ways for doing this is to evaluate the performances of the domiciliary mechanical ventilators using a test bench. Such a procedure requires to model the evolution of the pressure imposed by respiratory muscles, but for which there is no standard recommendations. Methods:In this paper we propose a mathematical model for simulating the muscular pressure developed by the inspiratory muscles and corresponding to different patient ventilatory dynamics to drive the ASL 5000 mechanical lung. Our model is based on the charge and discharge of a capacitor through a resistor, simulating contraction and relaxation phases of the inspiratory muscles.Results: Our resulting equations were used to produce 420 time series of the muscle pressure with various contraction velocities, amplitudes and shapes, in order to represent the inter-patient variability clinically observed. All these dynamics depend on two parameters, the ventilatory frequency and the mouth occlusion pressure. Conclusion:Based on the equation of the respiratory movement and its electrical analogy, the respiratory muscle pressure was simulated with more consistency in regards of physiological evidences than those provided by the ASL 5000 software. The great variability in the so-produced inspiratory efforts can cover most of realistic patho-physiological conditions.

show abstract

“…With this methodology, we obtained a qualitative and quantitative assessment of a good synchronisation based on a low rate of ineffective triggering efforts and a low ventilatory variability. In our study, we proved that two Shannon entropies applied to variables from ventilatory cycles (maxima of airway pressure and total duration of each ventilatory cycle) appeared to be correlated to the rate of ineffective triggering efforts and to the ventilatory variability [2]. Using the Shannon entropy avoids the manual counting of nontriggered cycles and allows an objective assessment of some patient-ventilator interactions.…”

Section: My Winning Abstract As Part Of My Research/ My Research As Pmentioning

confidence: 94%

Objective evaluation of patient–ventilator interactions during noninvasive ventilation (NIV)

Rabarimanantsoa¹,

Achour²,

Letellier³

et al. 2008

Eur Respir Rev

Self Cite

View full text Add to dashboard Cite

The success of NIV depends on patient-ventilator interactions. These interactions are evaluated with the subjective comfort score which is not always reliable. An objective evaluation is thus required. To evaluate these interactions, we use a statistical measure of the variability of a physiological signal, i.e the Shannon entropy. Our purpose is to show whether estimating Shannon entropy from airway pressure (SP) and from the total duration of ventilatory cycles (ST) may evaluate objectively the patient-ventilator interactions during NIV.Pressure support NIV was applied to 4 COPD patients, 4 OHS patients in stable state and 4 healthy subjects during six successive 10-min periods with various inspiratory pressure. The flow and the airway pressure signals were recorded with sensors located near the mask. Good patient-ventilator interactions were assumed to correspond to patient well synchronized (low ineffective efforts) and with low ventilatory variability. All the subjects were awaked and both Shannon entropies SP and ST were computed for each ventilatory tracing.The incidence of ineffective efforts (IE) varied from 0 to 64.7 %. SP appeared to be strongly correlated to this incidence (r50.91). ST quantified precisely the ventilatory variability. When SP was plotted versus ST, 4 distinct groups of patients were distinguished as follows:SP,1 and ST,1: IE,10% but no ventilatory variability SP,1 and ST.1: IE ,10% with high ventilatory variability SP.1 and ST,1: IE .10% but no ventilatory variability SP.1 and ST.1: IE . 10% with high ventilatory variability Shannon entropies objectively evaluate the patient-ventilator interactions in terms of ineffective efforts and ventilatory variability. Good patient-ventilator interactions occur when there is only few ineffective efforts (SP,1) and a low ventilatory variability (ST,1).

show abstract

Recurrence plots and Shannon entropy for a dynamical analysis of asynchronisms in noninvasive mechanical ventilation

Cited by 32 publications

References 34 publications

Effects of maturation and acidosis on the chaos-like complexity of the neural respiratory output in the isolated brainstem of the tadpole,Rana esculenta

Effects of maturation and acidosis on the chaos-like complexity of the neural respiratory output in the isolated brainstem of the tadpole,Rana esculenta

Realistic human muscle pressure for driving a mechanical lung

Objective evaluation of patient–ventilator interactions during noninvasive ventilation (NIV)

Contact Info

Product

Resources

About