Name
Title | ||
|---|---|---|
Automated Pain Assessment in Children Using Electrodermal Activity and Video Data Fusion via Machine Learning |
Abstract | ||
|---|---|---|
Objective: Pain assessment in children continues to challenge clinicians and researchers, as subjective experiences of pain require inference through observable behaviors, both involuntary and deliberate. The presented approach supplements the subjective self-report-based method by fusing electrodermal activity (EDA) recordings with video facial expressions to develop an objective... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TBME.2021.3096137 | IEEE Transactions on Biomedical Engineering |
Keywords | DocType | Volume |
Pain,Pediatrics,Electrocardiography,Physiology,Support vector machines,Electromyography,Feature extraction | Journal | 69 |
Issue | ISSN | Citations |
1 | 0018-9294 | 0 |
PageRank | References | Authors |
0.34 | 0 | 10 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Busra T. Susam | 1 | 4 | 2.06 |
| Nathan T Riek | 2 | 0 | 0.34 |
| Murat Akçakaya | 3 | 59 | 21.15 |
| Xiaojing Xu | 4 | 11 | 6.51 |
| Virginia R De Sa | 5 | 0 | 0.34 |
| Nezamfar Hooman | 6 | 7 | 1.15 |
| Damaris Diaz | 7 | 4 | 1.73 |
| Kenneth D. Craig | 8 | 4 | 1.73 |
| Matthew S. Goodwin | 9 | 178 | 19.63 |
| Jeannie Huang | 10 | 2 | 1.57 |