Abstract
Our purpose in this study was to investigate the possible correlation of epileptic activity quantified by standard human methods and by a neural network trained to recognize epileptiform EEG patterns. We analyzed EEG recordings from 20 patients with a definitive diagnosis of generalized idiopathic or cryptogenic epilepsy. For each A/EEG recording the following variables were assessed: number, duration and circadian distribution of the epileptic discharges, electroclinical correlation, and median time for human and computerized net analysis. Human and computerized net analysis yielded more than 90% agreement (with an error less than 7%). The time required by the two physicians for quantifying epileptic discharges ranged from 90′ to 120′ while the net took an average 60′ and it could be used at any time of day without disturbing the general routine.
| Original language | Italian |
|---|---|
| Pages (from-to) | 37-38 |
| Number of pages | 2 |
| Journal | Bollettino - Lega Italiana contro l'Epilessia |
| Issue number | 133-134 |
| Publication status | Published - Jul 2006 |
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ASJC Scopus subject areas
- Clinical Neurology
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Quantificazione ispettiva e automatica dell'attività epilettica intercritica. / Li Voti, P.; Falla, M.; Pulitano, P.; Davì, L.; Accornero, N.; Mecarelli, O.
In: Bollettino - Lega Italiana contro l'Epilessia, No. 133-134, 07.2006, p. 37-38.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Quantificazione ispettiva e automatica dell'attività epilettica intercritica
AU - Li Voti, P.
AU - Falla, M.
AU - Pulitano, P.
AU - Davì, L.
AU - Accornero, N.
AU - Mecarelli, O.
PY - 2006/7
Y1 - 2006/7
N2 - Our purpose in this study was to investigate the possible correlation of epileptic activity quantified by standard human methods and by a neural network trained to recognize epileptiform EEG patterns. We analyzed EEG recordings from 20 patients with a definitive diagnosis of generalized idiopathic or cryptogenic epilepsy. For each A/EEG recording the following variables were assessed: number, duration and circadian distribution of the epileptic discharges, electroclinical correlation, and median time for human and computerized net analysis. Human and computerized net analysis yielded more than 90% agreement (with an error less than 7%). The time required by the two physicians for quantifying epileptic discharges ranged from 90′ to 120′ while the net took an average 60′ and it could be used at any time of day without disturbing the general routine.
AB - Our purpose in this study was to investigate the possible correlation of epileptic activity quantified by standard human methods and by a neural network trained to recognize epileptiform EEG patterns. We analyzed EEG recordings from 20 patients with a definitive diagnosis of generalized idiopathic or cryptogenic epilepsy. For each A/EEG recording the following variables were assessed: number, duration and circadian distribution of the epileptic discharges, electroclinical correlation, and median time for human and computerized net analysis. Human and computerized net analysis yielded more than 90% agreement (with an error less than 7%). The time required by the two physicians for quantifying epileptic discharges ranged from 90′ to 120′ while the net took an average 60′ and it could be used at any time of day without disturbing the general routine.
KW - A/EEG
KW - Neural network
UR - http://www.scopus.com/inward/record.url?scp=33847670606&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33847670606&partnerID=8YFLogxK
M3 - Articolo
AN - SCOPUS:33847670606
SP - 37
EP - 38
JO - Bollettino - Lega Italiana contro l'Epilessia
JF - Bollettino - Lega Italiana contro l'Epilessia
SN - 0394-560X
IS - 133-134
ER -