This paper proposes a network analysis-based approach to detecting and characterizing ictal states in patients with Childhood Absence Epilepsy. Our approach defines and uses some suitable data structures, consisting of ad-hoc complex networks and subnetworks, and a new network analysis-based parameter, called connection coefficient. The examination of the values of this parameter on the adopted data structures allows our approach to reach its objectives. Obtained results are extremely encouraging and stimulate the extension of our approach in several directions.
A complex network-based approach to detecting and characterizing ictal states in patients with Childhood Absence Epilepsy / Lo Giudice, P; Mammone, N; Morabito, Francesco Carlo; Strati, D; Ursino, D. - (2017). (Intervento presentato al convegno 3rd IEEE International Forum on Research and Technologies for Society and Industry, RTSI 2017 tenutosi a Modena; Italy nel 11 September 2017 through 13 September 2017) [10.1109/RTSI.2017.8065899].
A complex network-based approach to detecting and characterizing ictal states in patients with Childhood Absence Epilepsy
Mammone N;MORABITO, Francesco Carlo;
2017-01-01
Abstract
This paper proposes a network analysis-based approach to detecting and characterizing ictal states in patients with Childhood Absence Epilepsy. Our approach defines and uses some suitable data structures, consisting of ad-hoc complex networks and subnetworks, and a new network analysis-based parameter, called connection coefficient. The examination of the values of this parameter on the adopted data structures allows our approach to reach its objectives. Obtained results are extremely encouraging and stimulate the extension of our approach in several directions.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
