Joint Clustering and Component Analysis of Spatio-Temporal Shape Patterns in Myocardial Infarction

2016 ◽  
pp. 171-179 ◽  
Author(s):  
Catarina Pinto ◽  
Serkan Çimen ◽  
Ali Gooya ◽  
Karim Lekadir ◽  
Alejandro F. Frangi
Keyword(s):  
Myocardial Infarction ◽  
Component Analysis ◽  
Temporal Shape ◽  
Spatio Temporal

scholarly journals Spatio-temporal regulation of calpain activity after experimental myocardial infarction in vivo

2021 ◽  
Vol 28 ◽  
pp. 101162
Author(s):  
Kun Zhang ◽  
Melissa M. Cremers ◽  
Stephan Wiedemann ◽  
David M. Poitz ◽  
Christian Pfluecke ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Experimental Myocardial Infarction ◽  
Calpain Activity ◽  
Temporal Regulation ◽  
Spatio Temporal

Event-Related Potentials

2017 ◽  
Author(s):  
Marco Congendo ◽  
Fernando H. Lopes da Silva
Keyword(s):  
Principal Component ◽  
Event Related Potentials ◽  
Component Analysis ◽  
Statistical Testing ◽  
Time Averaging ◽  
Common Spatial Pattern ◽  
Topographic Analysis ◽  
Temporal Filtering ◽  
Related Potentials ◽  
Spatio Temporal

Event-related potentials (ERPs) can be elicited by a variety of stimuli and events in diverse conditions. This chapter covers the methodology of analyzing and quantifying ERPs in general. Basic models (additive, phase modulation and resetting, potential asymmetry) that account for the generation of ERPs are discussed. The principles and requirements of ensemble time averaging are presented, along with several univariate and multivariate methods that have been proposed to improve the averaging procedure: wavelet decomposition and denoising, spatial, temporal and spatio-temporal filtering. We emphasize basic concepts of principal component analysis, common spatial pattern, and blind source separation, including independent component analysis. We cover practical questions related to the averaging procedure: overlapping ERPs, correcting inter-sweep latency and amplitude variability, alternative averaging methods (e.g., median), and estimation of ERP onset. Some specific aspects of ERP analysis in the frequency domain are surveyed, along with topographic analysis, statistical testing, and classification methods.

Localization of Latent Epileptic Activities Using Spatio-Temporal Independent Component Analysis of fMRI Data

2006 ◽  
Vol 19 (1-2) ◽  
pp. 21-28 ◽  
Author(s):  
Huafu Chen ◽  
Dezhong Yao ◽  
Guangming Lu ◽  
Zhiqiang Zhang ◽  
Qiaoli Hu
Keyword(s):  
Independent Component Analysis ◽  
Component Analysis ◽  
Independent Component ◽  
Fmri Data ◽  
Spatio Temporal

scholarly journals Localization of Latent Epileptic Activities Using Spatio-Temporal Independent Component Analysis of fMRI Data

2007 ◽  
Vol 19 (4) ◽  
pp. 223-223
Author(s):  
Huafu Chen ◽  
Dezhong Yao ◽  
Guangming Lu ◽  
Zhiqiang Zhang ◽  
Qiaoli Hu
Keyword(s):  
Independent Component Analysis ◽  
Component Analysis ◽  
Independent Component ◽  
Fmri Data ◽  
Spatio Temporal

Spatio-temporal shape building from image sequences using lateral interaction in accumulative computation

2003 ◽  
Vol 36 (5) ◽  
pp. 1131-1142 ◽  
Author(s):  
Antonio Fernandez-Caballero ◽  
Miguel A. Fernandez ◽  
Jose Mira ◽  
Ana E. Delgado
Keyword(s):  
Image Sequences ◽  
Lateral Interaction ◽  
Temporal Shape ◽  
Spatio Temporal
Sign in / Sign up

Export Citation Format

Share Document