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 |
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| container_title | Clinical neurophysiology |
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| creator | Scheuer, Mark L Bagic, Anto Wilson, Scott B |
| description | 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. |
| doi_str_mv | 10.1016/j.clinph.2016.11.005 |
| format | Article |
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| ispartof | Clinical neurophysiology, 2017-01, Vol.128 (1), p.243-250 |
| issn | 1388-2457 1872-8952 |
| language | eng |
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| source | MEDLINE; Elsevier ScienceDirect Journals |
| subjects | 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 |
| title | Spike Detection: Inter-reader agreement and a statistical Turing test on a large data set |
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