IEEE - Institute of Electrical and Electronics Engineers, Inc. - Automated Sleep Apnea Detection in Raw Respiratory Signals using Long Short-Term Memory Neural Networks

Author(s): Tom Van Steenkiste ; Willemijn Groenendaal ; Dirk Deschrijver ; Tom Dhaene
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Volume: PP
Page(s): 1
ISSN (Electronic): 2168-2208
ISSN (Paper): 2168-2194
DOI: 10.1109/JBHI.2018.2886064
Regular:

Sleep apnea is one of the most common sleep disorders and the consequences of undiagnosed sleep apnea can be very severe, ranging from increased blood pressure to heart failure. However, many... View More

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