Computer detection approaches for the identification of phasic electromyographic (EMG) activity during human sleep

Biomedical Signal Processing and Control

Volumn 7, Issue 6, 2012, Pages 606-615

  Fairley, Jacqueline A ^a,b   Georgoulas, George ^c   Mehta, Nishant A ^b   Gray, Alexander G ^b   Bliwise, Donald L ^a  

^a EMORY UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b Georgia Institute of Technology   (United States)

^c Epirus Institute of Technology Arta   (Greece)

Author keywords

Computer detection; Electromyography; Muscle activity; Phasic activity; Polysomnography; Sleep

Indexed keywords

AUTOMATION; ELECTROMYOGRAPHY; MUSCLE; SIGNAL PROCESSING;

DETECTION APPROACH; ELECTROMYOGRAPHIC SIGNAL; MULTIPLE FEATURES; MUSCLE ACTIVITIES; POLYSOMNOGRAPHY; SLEEP; SPECTRAL EDGE FREQUENCY; SURFACE ELECTRODE;

SLEEP RESEARCH;

ARTICLE; ARTIFACT; AUTOMATION; COMPUTER ASSISTED DIAGNOSIS; DECISION MAKING; ELECTROMYOGRAM; HUMAN; MUSCLE CONTRACTION; NOISE; OBSERVER VARIATION; POLYSOMNOGRAPHY; PRIORITY JOURNAL; SLEEP; VALIDATION STUDY;

EID: 84866729858     PISSN: 17468094     EISSN: 17468108     Source Type: Journal    
DOI: 10.1016/j.bspc.2012.02.003     Document Type: Article

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