TY - JOUR
T1 - New feature extraction approach for epileptic EEG signal detection using time-frequency distributions
AU - Guerrero-Mosquera, Carlos
AU - Trigueros, Armando Malanda
AU - Franco, Jorge Iriarte
AU - Navia-Vázquez, Ángel
N1 - Funding Information:
Acknowledgments This work has been funded by the Spain CICYT grant TEC2008-02473.
PY - 2010/4
Y1 - 2010/4
N2 - This paper describes a new method to identify seizures in electroencephalogram (EEG) signals using feature extraction in time-frequency distributions (TFDs). Particularly, the method extracts features from the Smoothed Pseudo Wigner-Ville distribution using tracks estimated from the McAulay-Quatieri sinusoidal model. The proposed features are the length, frequency, and energy of the principal track. We evaluate the proposed scheme using several datasets and we compute sensitivity, specificity, F-score, receiver operating characteristics (ROC) curve, and percentile bootstrap confidence to conclude that the proposed scheme generalizes well and is a suitable approach for automatic seizure detection at a moderate cost, also opening the possibility of formulating new criteria to detect, classify or analyze abnormal EEGs.
AB - This paper describes a new method to identify seizures in electroencephalogram (EEG) signals using feature extraction in time-frequency distributions (TFDs). Particularly, the method extracts features from the Smoothed Pseudo Wigner-Ville distribution using tracks estimated from the McAulay-Quatieri sinusoidal model. The proposed features are the length, frequency, and energy of the principal track. We evaluate the proposed scheme using several datasets and we compute sensitivity, specificity, F-score, receiver operating characteristics (ROC) curve, and percentile bootstrap confidence to conclude that the proposed scheme generalizes well and is a suitable approach for automatic seizure detection at a moderate cost, also opening the possibility of formulating new criteria to detect, classify or analyze abnormal EEGs.
KW - Detection
KW - Epilepsy
KW - Feature extraction
KW - McAulay-Quatieri sinusoidal analysis
KW - Sinwave analysis
KW - Time-frequency distributions
UR - http://www.scopus.com/inward/record.url?scp=77954459115&partnerID=8YFLogxK
U2 - 10.1007/s11517-010-0590-5
DO - 10.1007/s11517-010-0590-5
M3 - Article
C2 - 20217264
AN - SCOPUS:77954459115
SN - 0140-0118
VL - 48
SP - 321
EP - 330
JO - Medical and Biological Engineering and Computing
JF - Medical and Biological Engineering and Computing
IS - 4
ER -