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Phenotype-based and self-learning inter-individual sleep apnea screening with a level IV-like monitoring system

Publication ,  Journal Article
Wu, HT; Wu, JC; Huang, PC; Lin, TY; Wang, TY; Huang, YH; Lo, YL
Published in: Frontiers in Physiology
July 2, 2018

Purpose: We propose a phenotype-based artificial intelligence system that can self-learn and is accurate for screening purposes and test it on a Level IV-like monitoring system. Methods: Based on the physiological knowledge, we hypothesize that the phenotype information will allow us to find subjects from a well-annotated database that share similar sleep apnea patterns. Therefore, for a new-arriving subject, we can establish a prediction model from the existing database that is adaptive to the subject. We test the proposed algorithm on a database consisting of 62 subjects with the signals recorded from a Level IV-like wearable device measuring the thoracic and abdominal movements and the SpO2. Results: With the leave-one-subject-out cross validation, the accuracy of the proposed algorithm to screen subjects with an apnea-hypopnea index greater or equal to 15 is 93.6%, the positive likelihood ratio is 6.8, and the negative likelihood ratio is 0.03. Conclusion: The results confirm the hypothesis and show that the proposed algorithm has potential to screen patients with SAS.

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Published In

Frontiers in Physiology

DOI

EISSN

1664-042X

Publication Date

July 2, 2018

Volume

9

Issue

JUL

Related Subject Headings

  • 3208 Medical physiology
  • 3101 Biochemistry and cell biology
  • 1701 Psychology
  • 1116 Medical Physiology
  • 0606 Physiology
 

Citation

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Wu, H. T., Wu, J. C., Huang, P. C., Lin, T. Y., Wang, T. Y., Huang, Y. H., & Lo, Y. L. (2018). Phenotype-based and self-learning inter-individual sleep apnea screening with a level IV-like monitoring system. Frontiers in Physiology, 9(JUL). https://doi.org/10.3389/fphys.2018.00723
Wu, H. T., J. C. Wu, P. C. Huang, T. Y. Lin, T. Y. Wang, Y. H. Huang, and Y. L. Lo. “Phenotype-based and self-learning inter-individual sleep apnea screening with a level IV-like monitoring system.” Frontiers in Physiology 9, no. JUL (July 2, 2018). https://doi.org/10.3389/fphys.2018.00723.
Wu HT, Wu JC, Huang PC, Lin TY, Wang TY, Huang YH, et al. Phenotype-based and self-learning inter-individual sleep apnea screening with a level IV-like monitoring system. Frontiers in Physiology. 2018 Jul 2;9(JUL).
Wu, H. T., et al. “Phenotype-based and self-learning inter-individual sleep apnea screening with a level IV-like monitoring system.” Frontiers in Physiology, vol. 9, no. JUL, July 2018. Scopus, doi:10.3389/fphys.2018.00723.
Wu HT, Wu JC, Huang PC, Lin TY, Wang TY, Huang YH, Lo YL. Phenotype-based and self-learning inter-individual sleep apnea screening with a level IV-like monitoring system. Frontiers in Physiology. 2018 Jul 2;9(JUL).

Published In

Frontiers in Physiology

DOI

EISSN

1664-042X

Publication Date

July 2, 2018

Volume

9

Issue

JUL

Related Subject Headings

  • 3208 Medical physiology
  • 3101 Biochemistry and cell biology
  • 1701 Psychology
  • 1116 Medical Physiology
  • 0606 Physiology