Name
Title | ||
|---|---|---|
A Hybrid DCNN-SVM Model for Classifying Neonatal Sleep and Wake States Based on Facial Expression in Video. |
Abstract | ||
|---|---|---|
Sleep is a natural phenomenon controlled by the central nervous system. The sleep-wake pattern, which functions as an essential indicator of neurophysiological organization in the neonatal period, has profound meaning in the prediction of cognitive diseases and brain maturity. In recent years, unobtrusive sleep monitoring and automatic sleep staging have been intensively studied for adults, but mu... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/JBHI.2021.3073632 | IEEE Journal of Biomedical and Health Informatics |
Keywords | DocType | Volume |
Sleep,Pediatrics,Electroencephalography,Hospitals,Monitoring,Brain modeling,Support vector machines | Journal | 25 |
Issue | ISSN | Citations |
5 | 2168-2194 | 0 |
PageRank | References | Authors |
0.34 | 0 | 11 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Muhammad Awais | 1 | 179 | 51.40 |
| x xi long | 2 | 10 | 6.08 |
| Bin Yin | 3 | 45 | 6.58 |
| Saadullah Farooq Abbasi | 4 | 0 | 1.01 |
| Saeed Akhbarzadeh | 5 | 0 | 0.34 |
| ChunMei Lu | 6 | 59 | 7.02 |
| Xinhua Wang | 7 | 0 | 0.34 |
| Laishuan Wang | 8 | 0 | 0.34 |
| Jiong Zhang | 9 | 317 | 29.35 |
| Jeroen Dudink | 10 | 0 | 0.34 |
| Wei Chen | 11 | 96 | 39.08 |