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Computational Study of Sleep Apnea
Author Name

Hemalatha K, Subitsha V, Madhuu Sree S, Madhumitha G

Abstract

Sleep Apnea is a serious sleep disorder in which the breathing repeatedly starts and stops during asleep. The present work is to explore the use of the cardiopulmonary parameters to diagnose Sleep Apnea. In quite breathing, negative pleural pressure (Ppl) in inspiration phase slightly increases right ventricle stroke volume and pulmonary flow but decreases left ventricle stroke volume.  This paper analyzed the effect of sleep apnea using the intra-pleural pressure change during inspiration and expiration and generating a waveform. For this, the breathing pattern of the sleep apnea is introduced ex vivo by varying the pleural pressure from the range -2mmHg to -5mmHg in a hybrid cardiopulmonary electrical analogous model based on clinically obtained healthy controls with a breathing frequency of 13Hz.  The results can be used to study the cardiopulmonary effects in sleep apnea. The culmination of this study offers valuable insights into the intricate interplay between cardiopulmonary factors and sleep apnea. By examining the generated waveforms under varying pleural pressures, a deeper understanding of the effects of sleep apnea on the cardiovascular and pulmonary systems is achieved. The results derived from this analysis have the potential to significantly contribute to the comprehensive study of the physiological ramifications of sleep apnea on the cardiovascular and pulmonary systems. These findings hold promise for advancing both the diagnostic techniques and the overall management strategies for sleep apnea, ultimately improving the quality of life for those affected by this disorder.

Keywords: Cardiopulmonary parameters, Sleep Apnea, Intra-pleural pressure.



Published On :
2023-10-18

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