automated seizure detection algorithm (Epitel Inc)
Structured Review

Automated Seizure Detection Algorithm, supplied by Epitel Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/automated seizure detection algorithm/product/Epitel Inc
Average 90 stars, based on 1 article reviews
Images
1) Product Images from "Wearable Reduced-Channel EEG System for Remote Seizure Monitoring"
Article Title: Wearable Reduced-Channel EEG System for Remote Seizure Monitoring
Journal: Frontiers in Neurology
doi: 10.3389/fneur.2021.728484
Figure Legend Snippet: Complete subject demographics and results. Subjects in light green are those that had focal-onset seizures during their EMU stay. “Naive Review” results are consensus epileptologist review of the REMI montage without algorithm-detection annotations. “Review with CDSS” results are consensus epileptologist review with algorithm-detection annotations. “Algorithm” results are for the REMI automated seizure detection algorithm. TP, true positive; FN, false negative; FP, false positive; FDR, false detection rate; BL TC, bilateral tonic-clonic.
Techniques Used:
Figure Legend Snippet: Percent of overlap between known seizures and true positive events marked by reviewers and the automated algorithm.
Techniques Used:
Figure Legend Snippet: Sensitivity vs. false detection rate. The sensitivity (%) and false detection rate (FDR—FP/h) are shown for the individual reviewers [green x (R1), square (R2), and circle (R3)], the consensus review (blue star), and the automated algorithm (black diamond). The unfilled markers denote the naive epileptologist review and the filled markers denote review with automated algorithm annotations as clinical decision support software (CDSS). Reviewers R1 (green x), R3 (green circle), and the consensus (blue star) showed improved sensitivity with CDSS at the expense of a higher FDR, while reviewer R2 (green square) had a reduced sensitivity and FDR with CDSS. The REMI automated seizure detection algorithm (black diamond) had a higher sensitivity than any one reviewer or consensus, with a higher false detection rate. The error bars are 95% confidence intervals using a bias-corrected and accelerated method (BCa, N = 1,000).
Techniques Used: Software