Title | ||
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Robust Nonlinear Causality Analysis of Nonstationary Multivariate Physiological Time Series. |
Abstract | ||
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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 Schäck | 1 | 3 | 1.77 |
Michael Muma | 2 | 144 | 19.51 |
Mengling Feng | 3 | 175 | 16.57 |
Cuntai Guan | 4 | 1298 | 124.69 |
Abdelhak M. Zoubir | 5 | 1036 | 148.03 |