Sign in
Computer-Assisted Automated Scoring of Polysomnograms Using the Somnolyzer System
Journal article   Open access  Peer reviewed

Computer-Assisted Automated Scoring of Polysomnograms Using the Somnolyzer System

Naresh M Punjabi, Naima Shifa, Georg Dorffner, Susheel Patil, Grace Pien and Rashmi N Aurora
Sleep (New York, N.Y.), Vol.38(10), pp.1555-1566
2015-10-01
PMCID: PMC4576329
PMID: 25902809

Abstract

Adult Algorithms Arousal Automation Diagnosis, Computer-Assisted - methods Humans Observer Variation Polysomnography - methods Reproducibility of Results Sleep Apnea Syndromes - diagnosis Sleep Apnea Syndromes - metabolism Sleep Apnea Syndromes - physiopathology Sleep Medicine Specialty - methods Sleep Stages - physiology
url
https://doi.org/10.5665/sleep.5046View
Published (Version of record) Open

Metrics

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types
Domestic collaboration
International collaboration
Citation topics
1 Clinical & Life Sciences
1.137 Sleep Science & Circadian Systems
1.137.382 Obstructive Sleep Apnea
Web Of Science research areas
Clinical Neurology
Neurosciences
ESI research areas
Neuroscience & Behavior

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

Source: InCites

Details