Title :
Median-based filtering methods for EEG seizure detection
Author :
Echauz, J. ; Padovani, D.A. ; Esteller, R. ; Litt, B. ; Vachtsevanos, G.
Author_Institution :
Puerto Rico Univ., Mayaguez, Puerto Rico
Abstract :
Median filters can be used to detect seizures, however their response times vary widely with the chosen algorithmic implementations. The computational effort of a brute-force running median, a quick running median, and a novel modified running median filter is investigated. The modified running median was found to demand low linear-order effort, while preserving properties of the true median filters
Keywords :
electroencephalography; median filters; medical signal detection; medical signal processing; EEG seizure detection; algorithmic implementation; brute-force running median; electrodiagnostics; low linear-order effort; median-based filtering methods; novel modified running median filter; quick running median; response time; Computational complexity; Delay; Electroencephalography; Epilepsy; Filtering; Nonlinear filters; Quantization; Signal processing; Smoothing methods; Sorting;
Conference_Titel :
[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-5674-8
DOI :
10.1109/IEMBS.1999.802517
