An Automatic Facial Analysis System for The Detection of Pediatric Obstructive Sleep Apnea-Reference-Cited by-同舟云学术

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An Automatic Facial Analysis System for The Detection of Pediatric Obstructive Sleep Apnea

Published:2023-07-17 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)
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Author:

Lin Chia-Jo¹,Huang Shih-Hsu¹,Hsueh Wan-Yi²,Hsu Wei-Chung³,Su Chih-Wen⁴

Affiliation:

1. Chung Yuan Christian University,Department of Electronic Engineering,Taoyuan,Taiwan

2. Hsinchu Cathay General Hospital,Department of Otolaryngology,Hsinchu,Taiwan

3. National Taiwan University,College of Medicine,Department of Otolaryngology,Taipei,Taiwan

4. Chung Yuan Christian University,Department of Information & Computer Engineering,Taoyuan,Taiwan

Funder

National Taiwan University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10226627/10226615/10226706.pdf?arnumber=10226706

Reference7 articles.

1. Extracting Regions of Interest Based on Visual Attention Model;lin;Proc of IEEE International Conference on Multimedia Technology,2011

2. Prediction of Obstructive Sleep Apnea using Facial Landmarks;balaei;Physiol Meas,2018

3. Automatic detection of obstructive sleep apnea using facial images

4. Fast Approach for Iris Detection on GPU by Applying Search Localization for Circular Hough Transform

5. Automatically Analyze and Measure Craniofacial Features of Obstructive Sleep Apnea Patients;chuan;Master thesis,2021

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