Pulse oximeter-based machine learning models for sleep apnea detection in heavy vehicle drivers-Reference-Cited by-同舟云学术

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Pulse oximeter-based machine learning models for sleep apnea detection in heavy vehicle drivers

Published:2022 Issue: Volume: Page:183-198
ISSN:
Container-title:Autonomous and Connected Heavy Vehicle Technology
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Author:

Gupta Naman,Tiwari Aayush,Pathak Kushagra,Krishnamurthi Rajalakshmi,Kumar Adarsh

Publisher

Elsevier

Reference15 articles.

1. Health consequences of obstructive sleep apnea;Espiritu,2021

2. High risk for obstructive sleep apnea in truck drivers estimated by the Berlin questionnaire: prevalence and associated factors;Moreno;Chronobiol. Int.,2004

3. Obstructive sleep apnea and age: a double insult to brain function?;Ayalon;Am. J. Respir. Crit. Care Med.,2010

4. Data and methods for studying commercial motor vehicle driver fatigue, highway safety and long-term driver health;Stern;Accid. Anal. Prev.,2019

5. Obstructive sleep apnea and risk of motor vehicle crash: systematic review and meta-analysis;Tregear;J. Clin. Sleep Med.,2009

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