DocumentCode :
3685215
Title :
Analysis of epileptic seizure count time series by ensemble state space modelling
Author :
Andreas Galka;Rainer Boor;Corinna Doege;Sarah von Spiczak;Ulrich Stephani;Michael Siniatchkin
Author_Institution :
Institute of Medical Psychology and Medical Sociology, University of Kiel, 24098, Germany
fYear :
2015
Firstpage :
5601
Lastpage :
5605
Abstract :
We propose an approach for the analysis of epileptic seizure count time series within a state space framework. Time-dependent dosages of several simultaneously administered anticonvulsants are included as external inputs. The method aims at distinguishing which temporal correlations in the data are due to the medications, and which correspond to an unrelated background signal. Through this method it becomes possible to disentagle the effects of the individual anticonvulsants, i.e., to decide which anticonvulsant in a particular patient decreases or rather increases the number of seizures.
Keywords :
"Data models","Time series analysis","Computational modeling","Epilepsy","Numerical models","Covariance matrices","Standards"
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
ISSN :
1094-687X
Electronic_ISBN :
1558-4615
Type :
conf
DOI :
10.1109/EMBC.2015.7319662
Filename :
7319662
Link To Document :
بازگشت