论文信息 - On-line Detection of Patient Specific Neonatal Seizures using Support Vector Machines and Half-Wave Attribute Histograms

On-line Detection of Patient Specific Neonatal Seizures using Support Vector Machines and Half-Wave Attribute Histograms

An efficient and effective support vector machine for online seizures detection is presented. The kernel designed is based on features generated from bivariate histograms of EEG half-wave attributes. The training is online using a simple heuristic known as chunking. The case study presented illustrates the performance of the method on typical neonatal seizures

Thomas Philip Runarsson | Sven Sigurdsson | S. Sigurdsson | T. Runarsson

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