Pattern recognition of overnight intracranial pressure slow waves using morphological features of intracranial pressure pulse

Journal of Neuroscience Methods

Volumn 190, Issue 2, 2010, Pages 310-318

  Kasprowicz, Magdalena ^a,b,d   Asgari, Shadnaz ^a   Bergsneider, Marvin ^a,c   Czosnyka, Marek ^d   Hamilton, Robert ^a,c   Hu, Xiao ^a,c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b WROCLAW UNIVERSITY OF TECHNOLOGY   (Poland)

^c Engineering IV   (United States)

^d ADDENBROOKE S HOSPITAL   (United Kingdom)

Author keywords

Hydrocephalus; Intracranial pressure; Machine learning; Pulse morphology; Slow waves

Indexed keywords

ADULT; AGED; ALGORITHM; ARTICLE; CLINICAL ARTICLE; DIAGNOSTIC ACCURACY; DISCRIMINANT ANALYSIS; FEMALE; HUMAN; HYDROCEPHALUS; INTRACRANIAL PRESSURE; MALE; MORPHOLOGY; PATTERN RECOGNITION; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; SLOW BRAIN WAVE; ANALYSIS OF VARIANCE; AUTOMATED PATTERN RECOGNITION; CLUSTER ANALYSIS; MIDDLE AGED; PATHOPHYSIOLOGY; PERIODICITY; PHOTOPERIODICITY; PHYSIOLOGIC MONITORING; PROCEDURES; STATISTICAL MODEL; TIME; UNITED STATES; UNIVERSITY; VERY ELDERLY;

ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; ANALYSIS OF VARIANCE; CLUSTER ANALYSIS; DISCRIMINANT ANALYSIS; FEMALE; HUMANS; HYDROCEPHALUS; INTRACRANIAL PRESSURE; LINEAR MODELS; LOS ANGELES; MALE; MIDDLE AGED; MONITORING, PHYSIOLOGIC; PATTERN RECOGNITION, AUTOMATED; PERIODICITY; PHOTOPERIOD; TIME FACTORS; UNIVERSITIES;

EID: 77954216657     PISSN: 01650270     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2010.05.015     Document Type: Article

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