Comparison of Automated Spike Detection Software in Detecting Epileptiform Abnormalities on Scalp-EEG of Genetic Generalized Epilepsy Patients.
Mubeen JanmohamedDuong NhuLubna ShakathrehOfer GonenLevin KuhlmanAmanda GilliganChang Wei TanPiero PeruccaTerence J O'BrienPatrick KwanPublished in: Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society (2023)
Automated software shows a high degree of specificity for detection of nonepileptiform background. Sensitivity and precision for IED detection is lower, but may be acceptable for initial screening in the clinical and research setting. Clinical caution and continuous expert human oversight are recommended with all EEG recordings before a diagnostic interpretation is provided based on the output of the software.
Keyphrases
- loop mediated isothermal amplification
- end stage renal disease
- real time pcr
- machine learning
- label free
- deep learning
- endothelial cells
- high throughput
- working memory
- functional connectivity
- newly diagnosed
- chronic kidney disease
- data analysis
- ejection fraction
- prognostic factors
- gene expression
- peritoneal dialysis
- patient reported outcomes
- dna methylation
- quantum dots
- sensitive detection