Name
Title | ||
|---|---|---|
Detecting Disorders of Consciousness in Brain Injuries From EEG Connectivity Through Machine Learning |
Abstract | ||
|---|---|---|
Disorders of consciousness (DoC) happen frequently in various brain injuries. Their detection helps timely treatment for better survival outcomes of DoC patients. It is conventionally undertaken via clinical examinations, typically behavioural assessments. However, these neurological examinations consume significant resources of manpower and time, making continuous DoC monitoring practically infea... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TETCI.2020.3032662 | IEEE Transactions on Emerging Topics in Computational Intelligence |
Keywords | DocType | Volume |
Electroencephalography,Brain injuries,Frequency measurement,Phase measurement,Machine learning,Medical diagnostic imaging,Electrodes | Journal | 6 |
Issue | ISSN | Citations |
1 | 2471-285X | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fang Wang | 1 | 0 | 0.34 |
| Yu-Chu Tian | 2 | 550 | 59.35 |
| Xueying Zhang | 3 | 38 | 9.52 |
| Fengyun Hu | 4 | 0 | 0.34 |