Journal of Biomedical Engineering Research (대한의용생체공학회:의공학회지)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
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Development of Auto-titrating Algorithm for Auto-titrating Positive Airway Pressure

자동형 양압유지기의 자동적정 알고리즘 개발

  • 박종욱 (연세대학교 보건과학대학 의공학부) ;
  • 에르덴바야르 (연세대학교 보건과학대학 의공학부) ;
  • 김윤지 (연세대학교 보건과학대학 의공학부) ;
  • 이경중 (연세대학교 보건과학대학 의공학부) ;
  • 이상학 ((주)멕아이씨에스 연구소)
  • Received : 2019.06.07
  • Accepted : 2019.08.14
  • Published : 2019.08.31
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Abstract

This study proposes an auto-titrating algorithm for auto-titrating positive airway pressure (APAP). The process of the proposed algorithm is as follows. First, sleep apnea-hypopnea and snoring events were detected using nasal pressure. Second, APAP base pressure and SDB events were used for automatic titration of optimal pressure. And, auto-titrating algorithm is built into M3 (MEK-ICS CO. Ltd., Republic of Korea) for evaluation. The detection results of SDB showed mean sensitivity (Sen.) and positive predictive value (PPV.) of 85.7% and 87.8%, respectively. The mean pressure and apnea-hypopnea index (AHI) of auto-titrating algorithm showed $13.0{\pm}5.2cmH_2O$ and $3.0{\pm}2.4$ events/h, respectively. And, paired t-test was conducted to verify whether the performance of our algorithm has no significant difference with AutoSet S9 (p>0.05). These results represent better or comparable outcomes compared to those of previous APAP devices.

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References

  1. Collop N. The effect of obstructive sleep apnea on chronic medical disorders. Cleve. Clin. J. Med. 2007;74(1):72-8. https://doi.org/10.3949/ccjm.74.1.72
  2. Prasad B, et al. Continuous positive airway pressure devicebased automated detection of obstructive sleep apnea compared to standard laboratory polysomnography. Sleep Breath. 2010;14(2):101-7. https://doi.org/10.1007/s11325-009-0285-z
  3. Sawyer AM, et al. LA systematic review of CPAP adherence across age groups: clinical and empiric insights for developing CPAP adherence interventions. SLEEP. 2011;15(6):343-56.
  4. Nigro CA, et al. Accuracy of a novel auto-CPAP device to evaluate the residual apnea-hypopnea index in patients with obstructive sleep apnea. Sleep Breath. 2015;19(2): 569-78. https://doi.org/10.1007/s11325-014-1048-z
  5. Hirose M, et al. Bench study of auto-CPAP devices using a collapsible upper airway model with upstream resistance. Respir. Physiol. Neurobiol. 2008;162(1):48-4. https://doi.org/10.1016/j.resp.2008.03.014
  6. Berry RB, et al. The AASM manual for the scoring of sleep and associated events: rules, terminology and technical specifications. American Academy of Sleep Medicine, 2007.
  7. Stammnitz A, et al. Automatic CPAP titration with different self-setting devices in patients with obstructive sleep apnoea. Eur. Respir. J. 2004;24(2):2073-8.