Real-time segmentation of burst suppression patterns in critical care EEG monitoring

Journal of Neuroscience Methods

Volumn 219, Issue 1, 2013, Pages 131-141

  Brandon Westover, M ^a   Shafi, Mouhsin M ^c   Ching, ShiNung ^b   Chemali, Jessica J ^a,b   Purdon, Patrick L ^a,b   Cash, Sydney S ^a   Brown, Emery N ^a,b  

^a MASSACHUSETTS GENERAL HOSPITAL   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^c BETH ISRAEL DEACONESS MEDICAL CENTER   (United States)

Author keywords

Burst suppression; ICU EEG monitoring; Medically induced coma; Quantitative EEG

Indexed keywords

ADULT; AGED; ALGORITHM; ARTERIOVENOUS MALFORMATION; ARTICLE; AUTOMATION; BACTERIAL MENINGITIS; BRAIN HEMORRHAGE; BRAIN INJURY; BURST SUPPRESSION PATTERN; CLINICAL ARTICLE; COMA; CRITICALLY ILL PATIENT; ELECTROENCEPHALOGRAM; EPILEPTIC DISCHARGE; EPILEPTIC STATE; FEMALE; HISTOGRAM; HUMAN; INTENSIVE CARE; INTENSIVE CARE UNIT; MALE; MEDICAL RECORD REVIEW; METABOLIC ENCEPHALOPATHY; PATTERN RECOGNITION; PERFORMANCE; PRIORITY JOURNAL; RECORDING; RETROSPECTIVE STUDY; SENSITIVITY ANALYSIS; SPIKE WAVE; SUBARACHNOID HEMORRHAGE; TRAUMATIC BRAIN INJURY;

BURST SUPPRESSION; ICU EEG MONITORING; MEDICALLY-INDUCED COMA; QUANTITATIVE EEG;

ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; ANESTHESIA; CRITICAL CARE; DATA INTERPRETATION, STATISTICAL; ELECTROENCEPHALOGRAPHY; FEMALE; HUMANS; LEAST-SQUARES ANALYSIS; MALE; MIDDLE AGED; MONITORING, PHYSIOLOGIC; OBSERVER VARIATION; YOUNG ADULT;

EID: 84881524788     PISSN: 01650270     EISSN: 1872678X     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2013.07.003     Document Type: Article

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