Name
Title | ||
|---|---|---|
A Unified Estimation Framework for State-Related Changes in Effective Brain Connectivity. |
Abstract | ||
|---|---|---|
Objective: This paper addresses the critical problem of estimating time-evolving effective brain connectivity. Current approaches based on sliding window analysis or time-varying coefficient models do not simultaneously capture both slow and abrupt changes in causal interactions between different brain regions. Methods: To overcome these limitations, we develop a unified framework based on a switc... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TBME.2016.2580738 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Reactive power,Brain models,Electroencephalography,Estimation,Switches,Data models | Data modeling,Markov process,Computer science,Artificial intelligence,Estimation theory,Cluster analysis,Autoregressive model,Computer vision,Sliding window protocol,Segmentation,Algorithm,Feature extraction,Machine learning | Journal |
Volume | Issue | ISSN |
64 | 4 | 0018-9294 |
Citations | PageRank | References |
6 | 0.63 | 30 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| S. Balqis Samdin | 1 | 20 | 4.57 |
| Chee-Ming Ting | 2 | 72 | 13.17 |
| Hernando Ombao | 3 | 98 | 18.00 |
| S. Hussain | 4 | 47 | 9.46 |