A new method for continuous monitoring of chest wall movement to characterize hypoxemic episodes during HFOV

Waisman, Dan; Levy, Carmit; Faingersh, Anna; Klotzman, Fatmi Ifat Colman; Konyukhov, Eugene; Kessel, Irena; Rotschild, Avi; Landesberg, Amir

doi:10.1007/s00134-011-2228-y

Cited by 8 publications

(9 citation statements)

References 27 publications

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“…We have shown in the past that TDi correlates with both tidal volume and inspiratory pressure (23,24). Here, we show that TDi also correlates with the EP.…”

Section: Discussionsupporting

confidence: 74%

“…Here, we show that TDi also correlates with the EP. Thus, the suggested TDi and ATI measurements can be used as a surrogate for the EP method, and can be obtained with small sensors suitable even for the smallest premature infants (24).…”

Section: Discussionmentioning

confidence: 99%

“…As previously described (23,24), chest wall and abdominal displacement were continuously monitored using three miniature accelerometers (Pneumedicare, Yokneam, Israel) that were placed on the right and left sides of the chest (midclavicular line at the forth intercostal space) and epigastrium. These accelerometers enable measurement of the local subsonic (below 20 Hz) wall motion, as well as the vibrations from the breath and heart sounds.…”

Section: Methodsmentioning

confidence: 99%

“…Recently, we have described the feasibility and clinical relevance of monitoring chest wall dynamics for early detection of deteriorating ventilation (23,24), by means of miniature motion sensors (accelerometers) attached to both sides of the chest and abdomen of animals (23) or of newborn infants (24). Deteriorating ventilation was detected by monitoring the amplitude (tidal volume) and symmetry (distribution) of the ventilation (23,24).…”

mentioning

confidence: 99%

“…Deteriorating ventilation was detected by monitoring the amplitude (tidal volume) and symmetry (distribution) of the ventilation (23,24). The objective of the present study was to explore the utility of these miniature motion sensors in realtime monitoring, detection, and classification of central and obstructive apneic and hypopneic episodes, in spontaneously breathing rats.…”

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confidence: 99%

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Real-time detection, classification, and quantification of apneic episodes using miniature surface motion sensors in rats

et al. 2015

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Background: Real-time detection and classification of apneic episodes remain significant challenges. This study explores the applicability of a novel method of monitoring the respiratory effort and dynamics for rapid detection and classification of apneic episodes. Methods: Obstructive apnea (OA) and hypopnea/central apnea (CA) were induced in nine tracheostomized rats, by short-lived airway obstruction and administration of succinylcholine, respectively. Esophageal pressure (EP), EtCO 2 , arterial O 2 saturation (SpO 2 ), heart rate, and blood pressure were monitored. Respiratory dynamics were monitored utilizing three miniature motion sensors placed on the chest and epigastrium. Three indices were derived from these sensors: amplitude of the tidal chest wall displacement (TDi), breath time length (BTL), that included inspiration and rapid expiration phases, and amplitude time integral (ATI), the integral of breath amplitude over time. results: OA induced a progressive 6.42 ± 3.48-fold increase in EP from baseline, which paralleled a 3.04 ± 1.19-fold increase in TDi (P < 0.0012), a 1.39 ± 0.22-fold increase in BTL (P < 0.0002), and a 3.32 ± 1.40-fold rise in the ATI (P < 0.024). During central hypopneic/apneic episodes, each sensor revealed a gradual decrease in TDi, which culminated in absence of breathing attempts. conclusion: Noninvasive monitoring of chest wall dynamics enables detection and classification of central and obstructive apneic episodes, which tightly correlates with the EP.

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“…We have shown in the past that TDi correlates with both tidal volume and inspiratory pressure (23,24). Here, we show that TDi also correlates with the EP.…”

Section: Discussionsupporting

confidence: 74%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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