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

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

Highlights • Evaluation of inter-reader and algorithm versus human agreement for spike detection using pairwise comparisons. • A statistical Turing test evaluates for algorithm noninferiority versus skilled human performance. • The Persyst 13 spike detection algorithm proved noninferior to a set of...

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Veröffentlicht in:Clinical neurophysiology 2017-01, Vol.128 (1), p.243-250
Hauptverfasser: Scheuer, Mark L, Bagic, Anto, Wilson, Scott B
Format: Artikel
Sprache:eng
Schlagworte:
Action Potentials - physiology
Algorithms
Artificial neural network
Automated spike detection
Brain - physiology
Databases, Factual - standards
EEG
Electroencephalography - methods
Electroencephalography - standards
Epileptiform
Female
Humans
Inter-reader agreement
Male
Neurology
Noninferiority
Retrospective Studies
Signal Processing, Computer-Assisted
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Beschreibung
Zusammenfassung:Highlights • Evaluation of inter-reader and algorithm versus human agreement for spike detection using pairwise comparisons. • A statistical Turing test evaluates for algorithm noninferiority versus skilled human performance. • The Persyst 13 spike detection algorithm proved noninferior to a set of three skilled human readers.
ISSN:1388-2457
1872-8952
DOI:10.1016/j.clinph.2016.11.005