DocumentCode :
3598277
Title :
Towards Real-Time In-Implant Epileptic Seizure Prediction
Author :
Aziz, Joseph N Y ; Karakiewicz, Rafal ; Genov, Roman ; Bardakjian, Berj L. ; Derchansky, Miron ; Carlen, Peter L.
Author_Institution :
Dept. of Electr. & Comput. Eng., Toronto Univ., Ont.
fYear :
2006
Firstpage :
5476
Lastpage :
5479
Abstract :
We present an architecture of an epileptic seizure prediction system suitable for an implantable implementation. The microsystem comprises a neural interface, a spectral analysis processor and an artificial neural network (ANN). The neural interface and the spectral analysis processor have been prototyped in a 0.35 mum CMOS technology with experimental results are presented. The wavelet-based artificial neural network predicts the onsets of seizure up to two minutes before their occurrence in an in-vitro epilepsy model using a mouse hippocampal brain slice with recurrent spontaneous seizures
Keywords :
brain; medical computing; neural nets; neurophysiology; patient treatment; spectral analysis; wavelet transforms; 0.35 micron; ANN; CMOS technology; implantable epileptic seizure prediction system; in-vitro epilepsy model; microsystem; mouse hippocampal brain slice; neural interface; spectral analysis processor; wavelet-based artificial neural network; Artificial neural networks; Brain modeling; CMOS process; CMOS technology; Epilepsy; In vitro; Predictive models; Prototypes; Semiconductor device modeling; Spectral analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
ISSN :
1557-170X
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2006.259737
Filename :
4463044
Link To Document :
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