Narcolepsy is a rare brain disorder that reflects a selective loss or dysfunction of orexin (also
known as hypocretin) neurons of the lateral hypothalamus. Narcolepsy type 1 (NT1) is …

Background The past few years have seen a rapid emergence of artificial intelligence (AI)-
enabled technology in the field of sleep medicine. AI refers to the capability of computer …

Abstract Analysis of sleep for the diagnosis of sleep disorders such as Type-1 Narcolepsy
(T1N) currently requires visual inspection of polysomnography records by trained scoring …

This article updates the American Academy of Sleep Medicine protocols for the
administration of the Multiple Sleep Latency Test and the Maintenance of Wakefulness Test …

For almost 50 years, sleep laboratories around the world have been collecting massive
amounts of polysomnographic (PSG) physiological data to diagnose sleep disorders, the …

Polysomnography remains the cornerstone of objective testing in sleep medicine and results
in massive amounts of electrophysiological data, which is well-suited for analysis with …

The recommendations for identifying sleep stages based on the interpretation of
electrophysiological signals (electroencephalography [EEG], electro-oculography [EOG] …

Artificial intelligence (AI) allows analysis of “big data” combining clinical, environmental and
laboratory based objective measures to allow a deeper understanding of sleep and sleep …

Since the first description of narcolepsy at the end of the 19th Century, great progress has
been made. The disease is nowadays distinguished as narcolepsy type 1 and type 2. In the …

Electro-encephalography (EEG) and electro-oculography (EOG) are methods of
electrophysiological monitoring that have potentially fruitful applications in neuroscience …