Paper Info
Title
VOCNEA: sleep apnea and hypopnea detection using a novel tiny gas sensor.
Abstract
Sleep breathing disorder is a serious threat to a large share of the population. This paper presents a low-cost, tiny sensor system based on Volatile Organic Component (VOC) sensing for the detection of sleep apnea/hypopnea. We present two designs, discuss wearability aspects and show that the sensor works similar to gold standard Polysomnography (PSG).
Year
DOI
Venue
2018
10.1145/3267242.3267273
UbiComp '18: The 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing Singapore Singapore October, 2018
Keywords
Field
DocType
Wearable, Apnea, Hypopnea, Information System, Health
Computer vision,Population,Sleep apnea,Computer science,Wearable computer,Apnea,Sensor system,Breathing,Artificial intelligence,Hypopnea,Polysomnography
Conference
ISBN
Citations 
PageRank 
978-1-4503-5967-2
0
0.34
References 
Authors
3
4
Name
Order
Citations
PageRank
Tobias Röddiger104.39
M. Beigl22034311.09
Marcel Köpke362.19
Matthias Budde417523.08