eeg software packages with built-in seizure-detection algorithms persyst 13 (Persyst Development Corporation)
90
Structured Review
Persyst Development Corporation
eeg software packages with built-in seizure-detection algorithms persyst 13
Eeg Software Packages With Built In Seizure Detection Algorithms Persyst 13, supplied by Persyst Development Corporation, 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/product/software+package+persyst/persyst+detected+seizures/pm33464580-7-46-53
Average 90 stars, based on 1 article reviews
Eeg Software Packages With Built In Seizure Detection Algorithms Persyst 13, supplied by Persyst Development Corporation, 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/product/software+package+persyst/persyst+detected+seizures/pm33464580-7-46-53
Average 90 stars, based on 1 article reviews
eeg software packages with built-in seizure-detection algorithms persyst 13 - by Bioz Stars,
2026-11
90/100 stars
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Diagnostic Assay:Article Title: Systematic comparison of Commercial seizure detection Software: Update equals Upgrade? Article Snippet: Objective: To compare two updated commercially available seizure detection software packages (encevis 2.0 and Persyst 14) in a large video-EEG monitoring dataset comprising 80 patients with 6826 h of EEG and 912 seizures.. Methods: We conducted a follow up study of two seizure detection software packages with a significant update since 2021 using different sensitivity settings.. Results: Mean overall seizure count was 11.4 and mean tonic-clonic seizure rate was 0.7 per patient. Article Title: Proceedings of the 15th International Newborn Brain Conference: Neonatal Neurocritical Care, seizures, and continuous aEEG and /or EEG monitoring Article Snippet: The Effi cacy of an AI-based seizuredetection algorithm for term vs. preterm neonates Hiroyuki Kidokoro1, Anna Shiraki1, Toshiki Takeo2, Tatsuya Fukasawa2, Misa Hashimoto1, Misae Yamada1, Hajime Narita1, Takamasa Mitsumatsu1, Sumire Kumai1, Ryosuke Suzui1, Yuji Ito1, Hiroyuki Yamamoto1, Tomohiko Nakata1, Yoshiaki Sato1, Tetsuo Kubota2, Jun Natsume1 1Nagoya University Hospital, 2Anjo Kosei Hospital Journal of Neonatal-Perinatal Medicine 17 (2024) S345–S392 DOI:10.3233/NPM-249003 IOS Press S345 ISSN 1934-5798 © 2024 – The authors.. Published by IOS Press.. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (CC BY-NC 4.0). |