TY - GEN
T1 - Identifying neural discharges using time-frequency distributions for EEG
AU - Guerrero-Mosquera, Carlos
AU - Vazquez, Angel Navia
AU - Trigueros, Armando Malanda
PY - 2007
Y1 - 2007
N2 - This paper presents a time-frequency approach as a nonlinear signal EEG processing technique. The proposed method is based on the use of the Smoothed Pseudo Wigner-Ville distribution (SPWV) good resolution combined with Mc Aulay-Quatieri (MQ) sinusoidal model to identify a neural discharge. The initial results show the algorithm as a suitable method to develop an automatic detector based on graphics patterns parameterized by the features present in the neural discharges on the time-frequency plane. We obtained three features based on energy, frequency and tracking and the algorithm is tested in an application with epileptic EEGs. We can isolate a continuous energy trace with other oscillations when the epileptic seizure is beginning. This characteristic is always present in 16 different seizures from 6 epileptic patients.
AB - This paper presents a time-frequency approach as a nonlinear signal EEG processing technique. The proposed method is based on the use of the Smoothed Pseudo Wigner-Ville distribution (SPWV) good resolution combined with Mc Aulay-Quatieri (MQ) sinusoidal model to identify a neural discharge. The initial results show the algorithm as a suitable method to develop an automatic detector based on graphics patterns parameterized by the features present in the neural discharges on the time-frequency plane. We obtained three features based on energy, frequency and tracking and the algorithm is tested in an application with epileptic EEGs. We can isolate a continuous energy trace with other oscillations when the epileptic seizure is beginning. This characteristic is always present in 16 different seizures from 6 epileptic patients.
KW - Detection
KW - Epilepsy
KW - McAulay-Quatieri sinusoidal analysis
KW - Sinwave analysis
KW - Time-frequency distributions
UR - http://www.scopus.com/inward/record.url?scp=60349094276&partnerID=8YFLogxK
U2 - 10.1109/ICSPC.2007.4728631
DO - 10.1109/ICSPC.2007.4728631
M3 - Conference contribution
AN - SCOPUS:60349094276
SN - 9781424412365
T3 - ICSPC 2007 Proceedings - 2007 IEEE International Conference on Signal Processing and Communications
SP - 1563
EP - 1566
BT - ICSPC 2007 Proceedings - 2007 IEEE International Conference on Signal Processing and Communications
T2 - 2007 IEEE International Conference on Signal Processing and Communications, ICSPC 2007
Y2 - 14 November 2007 through 27 November 2007
ER -