Title :
Prediction of epileptic seizures by CNN with linear weight functions
Author :
Kunz, R. ; Niederhöfer, C. ; Tetzlaff, R.
Author_Institution :
IBM Germany, Frankfurt, Germany
Abstract :
In this contribution, a novel approach for the prediction of epileptic seizures is introduced using binary input-output patterns and Boolean CNN with linear weight functions. Two different algorithms are introduced and verified on invasive recordings of different patients.
Keywords :
Boolean functions; bioelectric phenomena; brain; cellular neural nets; diseases; medical signal processing; Boolean cellular neural net; algorithms; binary input-output patterns; epileptic seizure prediction; invasive recordings; linear weight functions; patients; Alarm systems; Brain; Cellular neural networks; Decoding; Disk recording; Electric variables measurement; Epilepsy; Frequency; Physics; Surgery;
Conference_Titel :
Cellular Neural Networks and Their Applications, 2002. (CNNA 2002). Proceedings of the 2002 7th IEEE International Workshop on
Print_ISBN :
981-238-121-X
DOI :
10.1109/CNNA.2002.1035059
