Title
Robust Nonlinear Causality Analysis of Nonstationary Multivariate Physiological Time Series.
Abstract
Goal: An important research area in biomedical signal processing is that of quantifying the relationship between simultaneously observed time series and to reveal interactions between the signals. Since biomedical signals are potentially nonstationary and the measurements may contain outliers and artifacts, we introduce a robust time-varying generalized partial directed coherence (rTV-gPDC) functi...
Year
DOI
Venue
2018
10.1109/TBME.2017.2708609
IEEE Transactions on Biomedical Engineering
Keywords
Field
DocType
Time series analysis,Coherence,Brain modeling,Biomedical measurement,Robustness,Frequency-domain analysis,Mathematical model
Time series,Signal processing,Nonlinear system,Computer science,Robustness (computer science),Robust statistics,Artificial intelligence,Frequency domain,Autoregressive model,Computer vision,Pattern recognition,Outlier,Speech recognition
Journal
Volume
Issue
ISSN
65
6
0018-9294
Citations 
PageRank 
References 
1
0.35
0
Authors
5
Name
Order
Citations
PageRank
Tim Schäck131.77
Michael Muma214419.51
Mengling Feng317516.57
Cuntai Guan41298124.69
Abdelhak M. Zoubir51036148.03