A new technique for characterization of epileptic spikes using wavelet transform and neural network

2012 ◽  
Vol 7 (18) ◽  
Author(s):  
H. N. Suresh
2018 ◽  
Vol 58 (8) ◽  
pp. 1311-1324 ◽  
Author(s):  
W. Nantasetphong ◽  
Z. Jia ◽  
M.A. Hasan ◽  
A.V. Amirkhizi ◽  
S. Nemat-Nasser

Author(s):  
Cosimo D’Andrea ◽  
Daniele Pezzoli ◽  
Chiara Malloggi ◽  
Alessia Candeo ◽  
Alessandro Volonterio ◽  
...  

1998 ◽  
Vol 37 (4-5) ◽  
pp. 211-214
Author(s):  
C.M. Lopatin ◽  
T.L. Alford ◽  
V.B. Pizziconi ◽  
T. Laursen

Heart Rhythm ◽  
2006 ◽  
Vol 3 (8) ◽  
pp. 930-938 ◽  
Author(s):  
David Schwartzman ◽  
John Nosbisch ◽  
Debra Housel

1984 ◽  
Vol 31 (10) ◽  
pp. 1394-1398 ◽  
Author(s):  
Kwyro Lee ◽  
M.S. Shur ◽  
A.J. Valois ◽  
G.Y. Robinson ◽  
X.C. Zhu ◽  
...  

1988 ◽  
Vol 142 ◽  
Author(s):  
Y. Li ◽  
R. B. Thompson

AbstractThis paper will propose a new technique to characterize texture of rolled plates of cubic crystallites. This technique uses information from ultrasonic velocities of high order plate mode to improve the estimation of orientation distribution coefficients (ODC's), especially W400. Also discussed will be the generalization of this technique to the case of hexagonal crystallites.


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