A state transition-based method for quantifying EEG sleep fragmentation

Medical and Biological Engineering and Computing

Volumn 47, Issue 10, 2009, Pages 1053-1061

  Swarnkar, Vinayak ^a   Abeyratne, Udantha R ^a   Hukins, Craig ^a,b   Duce, Brett ^b  

^a UNIVERSITY OF QUEENSLAND   (Australia)

^b PRINCESS ALEXANDRA HOSPITAL   (Australia)

Author keywords

Arousal index; Electroencephalographic signals; Periodic leg movement syndrome; Sleep apnea; Sleep fragmentation

Indexed keywords

AROUSAL INDEX; ELECTROENCEPHALOGRAPHIC SIGNALS; PERIODIC LEG MOVEMENT SYNDROME; SLEEP APNEA; SLEEP FRAGMENTATION;

SPONTANEOUS EMISSION;

SLEEP RESEARCH;

ADULT; AGED; AROUSAL; ARTICLE; CLINICAL ARTICLE; DAYTIME SOMNOLENCE; ELECTROENCEPHALOGRAM; FEMALE; HUMAN; MALE; MEASUREMENT; SLEEP APNEA SYNDROME; SLEEP PATTERN; SLEEP TIME; WEIGHTED TRANSITION SLEEP FRAGMENTATION INDEX;

ADULT; AGED; AROUSAL; ELECTROENCEPHALOGRAPHY; FEMALE; HUMANS; MALE; MIDDLE AGED; NOCTURNAL MYOCLONUS SYNDROME; SEVERITY OF ILLNESS INDEX; SIGNAL PROCESSING, COMPUTER-ASSISTED; SLEEP APNEA SYNDROMES; SLEEP DISORDERS, INTRINSIC;

EID: 70350303618     PISSN: 01400118     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11517-009-0524-2     Document Type: Article

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