PMID- 28269285 OWN - NLM STAT- MEDLINE DCOM- 20170726 LR - 20200928 IS - 2694-0604 (Electronic) IS - 2375-7477 (Linking) VI - 2016 DP - 2016 Aug TI - EEG analysis via multiscale Lempel-Ziv complexity for seizure detection. PG - 4535-4538 LID - 10.1109/EMBC.2016.7591736 [doi] AB - Robust seizure detection and seizure prediction continues to be a challenge. Lempel-Ziv Complexity (LZC) is one of the features that has shown to be relevant in seizure detection. Recent work has shown that augmenting LZC can be beneficial to emphasize variations in amplitude or frequency when analyzing biomedical signals. In this paper, we present a first look into evaluating the feasibility of using a recently proposed feature stemmed from LZC, namely the Multiscale Lempel-Ziv Complexity (MLZC) for seizure detection. MLZC does not allow the high-frequency signal components to be overwhelmed by the low frequency signal components when calculating complexity values. We compare MLZC and LZC for identifying seizures for three cases and show MLZC can provide a clear separation between non-ictal and ictal periods for all three cases using a single threshold over 7 recordings and 7 seizures per patient, whereas LZC provided such a clear separation for only one of the patients. FAU - Artan, N Sertac AU - Artan NS LA - eng PT - Journal Article PL - United States TA - Annu Int Conf IEEE Eng Med Biol Soc JT - Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference JID - 101763872 SB - IM MH - Electroencephalography/*classification MH - Humans MH - *Seizures/diagnosis/physiopathology MH - *Signal Processing, Computer-Assisted EDAT- 2017/03/09 06:00 MHDA- 2017/07/27 06:00 CRDT- 2017/03/09 06:00 PHST- 2017/03/09 06:00 [entrez] PHST- 2017/03/09 06:00 [pubmed] PHST- 2017/07/27 06:00 [medline] AID - 10.1109/EMBC.2016.7591736 [doi] PST - ppublish SO - Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug;2016:4535-4538. doi: 10.1109/EMBC.2016.7591736.