TY - GEN
T1 - Classification of Seizure EEGs Based on Short-Time Fourier Transform and Hidden Markov Model
AU - Du, Yuwei
AU - Jin, Jing
AU - Liu, Yan
AU - Wang, Qiang
N1 - Publisher Copyright:
© 2020 APSIPA.
PY - 2020/12/7
Y1 - 2020/12/7
N2 - Epilepsy is a kind of disorder that has affected many people in the world. Electroencephalogram (EEG) is an effective tool in the diagnosis and treatment of epilepsy. The classification of EEG signals from different seizure stages is of great interest in this field. This paper proposes a seizure EEG classification method based on Short-Time Fourier Transform (STFT) and Hidden Markov Model (HMM). We construct feature sequences by STFT, and then 50% of the sequences are used to train HMMs. Finally, the other sequences are used to evaluate the HMMs. Experiments conducted on the dataset from University of Bonn are provided, with the accuracy for set D and set E reaching 97.18%, and the sensitivity and specificity reaching 98.54% and 95.82% respectively.
AB - Epilepsy is a kind of disorder that has affected many people in the world. Electroencephalogram (EEG) is an effective tool in the diagnosis and treatment of epilepsy. The classification of EEG signals from different seizure stages is of great interest in this field. This paper proposes a seizure EEG classification method based on Short-Time Fourier Transform (STFT) and Hidden Markov Model (HMM). We construct feature sequences by STFT, and then 50% of the sequences are used to train HMMs. Finally, the other sequences are used to evaluate the HMMs. Experiments conducted on the dataset from University of Bonn are provided, with the accuracy for set D and set E reaching 97.18%, and the sensitivity and specificity reaching 98.54% and 95.82% respectively.
UR - https://www.scopus.com/pages/publications/85100940066
M3 - 会议稿件
AN - SCOPUS:85100940066
T3 - 2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2020 - Proceedings
SP - 875
EP - 880
BT - 2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2020 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2020
Y2 - 7 December 2020 through 10 December 2020
ER -