Multi-Entropy Feature Concatenation for Data-Efficient Cross-Subject Classification of Alzheimer's Disease and Frontotemporal Dementia from Single-Channel EEG.
Saved in:
| Title: | Multi-Entropy Feature Concatenation for Data-Efficient Cross-Subject Classification of Alzheimer's Disease and Frontotemporal Dementia from Single-Channel EEG. |
|---|---|
| Authors: | Li, Jiawen1,2,3 (AUTHOR), Ling, Chen1,2 (AUTHOR) lingchen@gpnu.edu.cn, Zhang, Weidong1,3 (AUTHOR) zwd@stu.gpnu.edu.cn, Lv, Jujian1,4 (AUTHOR), Hu, Xianglei1,5 (AUTHOR), Lin, Kaihan1,6 (AUTHOR), Yuan, Jun1 (AUTHOR), Zhang, Shuang2,4,5 (AUTHOR), Chen, Rongjun1,3,6 (AUTHOR) |
| Source: | Entropy. Feb2026, Vol. 28 Issue 2, p212. 17p. |
| Database: | Academic Search Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 10994300 |
|---|---|
| DOI: | 10.3390/e28020212 |
