Research on Computer-aided Diagnosis Method of Obstructive Sleep Apnea Hypopnea Syndrome

DOI

10.2991/emcs-16.2016.67How to use a DOI?

Keywords

Obstructive Sleep Apnea Hypopnea Syndrome; Image segmentation; 3D reconstruction; Computer-aided

Abstract

A computer-aided diagnosis system used for Obstructive Sleep Apnea Hypopnea Syndrome is designed. The technical realization of the system in the aspects of image segmentation, 3D reconstruction, data measurement and the like is mainly discussed. The system operability and effectiveness are analyzed through diagnosis study on 11 children cases of OSAHS. Experimental results show that the system can analyze the characteristics in the aspect upper airway morphology and function of OSAHS children, is beneficial for assisting the doctors in accurately locating the location, extent and degree of upper airway narrowing collapse of children patients. Its operability and effectiveness are preliminarily validated in the study.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Lingli Zhu
AU  - Huijuan Sun
PY  - 2016/01
DA  - 2016/01
TI  - Research on Computer-aided Diagnosis Method of Obstructive Sleep Apnea Hypopnea Syndrome
BT  - Proceedings of the 2016 International Conference on Education, Management, Computer and Society
PB  - Atlantis Press
SP  - 276
EP  - 280
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcs-16.2016.67
DO  - 10.2991/emcs-16.2016.67
ID  - Zhu2016/01
ER  -