Spike detection: Inter-reader agreement and a statistical Turing test on a large data set

Clinical Neurophysiology

Volumn 128, Issue 1, 2017, Pages 243-250

  Scheuer, Mark L ^a   Bagic, Anto ^b   Wilson, Scott B ^a  

^a Persyst Development Corporation   (United States)

^b UNIVERSITY OF PITTSBURGH   (United States)

Author keywords

Artificial neural network; Automated spike detection; EEG; Epileptiform; Inter reader agreement; Noninferiority

Indexed keywords

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATION; CONTROLLED STUDY; DATA ANALYSIS SOFTWARE; ELECTROENCEPHALOGRAM; ELECTROENCEPHALOGRAPH ELECTRODE; EPILEPTIC DISCHARGE; FALSE POSITIVE RESULT; HUMAN; PERCEPTIVE THRESHOLD; PRIORITY JOURNAL; SPIKE; STATISTICAL ANALYSIS; STATISTICAL TURING TEST; ACTION POTENTIAL; BRAIN; ELECTROENCEPHALOGRAPHY; FACTUAL DATABASE; FEMALE; MALE; PHYSIOLOGY; PROCEDURES; RETROSPECTIVE STUDY; SIGNAL PROCESSING; STANDARDS;

ACTION POTENTIALS; ALGORITHMS; BRAIN; DATABASES, FACTUAL; ELECTROENCEPHALOGRAPHY; FEMALE; HUMANS; MALE; RETROSPECTIVE STUDIES; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 85007206710     PISSN: 13882457     EISSN: 18728952     Source Type: Journal    
DOI: 10.1016/j.clinph.2016.11.005     Document Type: Article

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