Epileptic activity recognition in EEG recording

Autor:	Luis Aníbal Diambra, Coraci Pereira Malta, J. C. Bastos de Figueiredo
Rok vydání:	1999
Předmět:	Statistics and Probability business.industry Computer science Pattern recognition Artificial intelligence Condensed Matter Physics business Approximate entropy Signal Eeg recording Epileptic activity
Zdroj:	Physica A: Statistical Mechanics and its Applications. 273:495-505
ISSN:	0378-4371
Popis:	We apply Approximate Entropy (ApEn) algorithm in order to recognize epileptic activity in electroencephalogram recordings. ApEn is a recently developed statistical quantity for quantifying regularity and complexity. Our approach is illustrated regarding different types of epileptic activity. In all segments associated with epileptic activity analyzed here the complexity of the signal measured by ApEn drops abruptly. This fact can be useful for automatic recognition and detection of epileptic seizures.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::6df5b1833e414af395134fda62da8aef https://doi.org/10.1016/s0378-4371(99)00368-4 Zobrazit plný text záznamu Full Text from ScienceDirect