线性权函数CNN预测癫痫发作

Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications Pub Date : 2002-07-22 DOI:10.1109/CNNA.2002.1035059

R. Kunz, C. Niederhofer, R. Tetzlaff

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引用次数: 12

摘要

本文介绍了一种预测癫痫发作的新方法，使用二元输入输出模式和具有线性权函数的布尔CNN。介绍了两种不同的算法，并在不同患者的有创录音上进行了验证。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Prediction of epileptic seizures by CNN with linear weight functions

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.

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Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications

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