Automated seizure detection in long-term scalp EEG monitoring: A practical analysis for the application in clinical routine

Objective: Very recently we described an efficient and robust algorithm for the offline-detection of epileptic seizures for long-term scalp EEG recordings (Hopfengärtner et al., 2007). The aim of this study was to evaluate the performance of the algorithm on a larger number of patients with different types of seizures and without requiring any a priori information of the seizures. Methods: For the detection of characteristic electrographic changes of the seizures we have developed an algorithm based on short time Fourier transform (STFT) for the computation of the integrated EEG power in two frequency bands (3–1…