Skip to main navigation
Skip to search
Skip to main content
Teesside University's Research Portal Home
Home
Profiles
Research units
TeesRep
Student theses
Projects
Datasets
Equipment
Press/Media
Search by expertise, name or affiliation
Automated recognition of EEG changes accompanying arousal in respiratory sleep disorders.
M. J. Drinnan
, A. Murray
, J. E. S. White
, A. J. Smithson
, C. J. Griffiths
, G. J. Gibson
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Automated recognition of EEG changes accompanying arousal in respiratory sleep disorders.'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Arousal
100%
Electroencephalogram
100%
Automated Recognition
100%
Respiratory Sleep Disorders
100%
Automated Method
11%
Potential Indicators
11%
Subject Group
11%
Daytime Sleepiness
11%
Personal Computer
11%
Abrupt Change
11%
Rapid Eye Movement Sleep
11%
Automated Measurement
11%
Paper Records
11%
Simple Index
11%
Sleep Stages
11%
Slow Wave
11%
Impaired Cognition
11%
Hjorth
11%
Stage Group
11%
Psychology
Cognitive Function
100%
Sleep Disorder
100%
REM Sleep
100%
Slow Wave
100%
Neuroscience
Sleep Disorder
100%
Electroencephalogram
100%
Cognitive Function
11%
Sleep Stage
11%
Rapid Eye Movement Sleep
11%
Daytime Somnolence
11%