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Research on automatic detection of epilepsy based on sliding time windows

2023-03-16

Abstract excerpt

Epilepsy is a highly prevalent neurological disorder worldwide, and the automatic detection of epileptic activity in clinical practice is a significant focus of researchers. In this study, we construct a high-performance model for normal and epileptic electroencephalogram signals using a con-volutional neural network architecture called Shallow ConvNet based on the CHB-MIT dataset. The model achieves a maximum cla...

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Literature Corpus work
f865afc7-ae03-5f0d-9921-a3fd4d43e202
DOI
10.21203/rs.3.rs-2683817/v1
Open publication

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Research on automatic detection of epilepsy based on sliding time windowsDOI 10.21203/rs.3.rs-2683817/v1
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