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